diff --git "a/output_dataset.json" "b/output_dataset.json" --- "a/output_dataset.json" +++ "b/output_dataset.json" @@ -1,44 +1,38 @@ [ { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jacopo Bonato", "Marco Cotogni", "Luigi Sabetta" ], - "title":"Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images", - "id":"main", - "arxiv_id":"2404.12922", - "GitHub":[ - "https:\/\/github.com\/jbonato1\/scar" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.12922", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":0 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images", + "id": "main", + "arxiv_id": "2404.12922", + "GitHub": [ + "https://github.com/jbonato1/scar" + ], + "paper_page": "https://huggingface.co/papers/2404.12922", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 0 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jingkang Yang", "Yuhao Dong", "Shuai Liu", @@ -51,36 +45,30 @@ "Kaiyang Zhou", "Ziwei Liu" ], - "title":"Octopus: Embodied Vision-Language Programmer from Environmental Feedback", - "id":"main", - "arxiv_id":"2310.08588", - "GitHub":[ - "https:\/\/github.com\/dongyh20\/octopus" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2310.08588", - "n_linked_authors":9, - "upvotes":34, - "num_comments":4, - 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"title":"Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos", - "id":"main", - "arxiv_id":"2312.13604", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.13604", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":5 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/37_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos", + "id": "main", + "arxiv_id": "2312.13604", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.13604", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 5 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/37_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Frances F Yang", "Michele Sasdelli", "Tat-Jun Chin" ], - "title":"Robust Fitting on a Gate Quantum Computer", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":6 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/41_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Robust Fitting on a Gate Quantum Computer", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 6 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/41_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Chang Liu", "MingXu zhu", "Cong Ma" ], - "title":"H-V2X: A Large Scale Highway Dataset for BEV Perception", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":7 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/51_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "H-V2X: A Large Scale Highway Dataset for BEV Perception", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 7 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/51_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jin Zhang", "Ruiheng Zhang", "Yanjiao Shi", @@ -308,139 +260,115 @@ "Nian Liu", "Fahad Shahbaz Khan" ], - 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"title":"CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":11 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/73_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 11 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/73_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Mengyao Lyu", "Tianxiang Hao", "Xinhao Xu", @@ -449,36 +377,30 @@ "Jungong Han", "Guiguang Ding" ], - 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"title":"PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts", - "id":"main", - "arxiv_id":"2403.04993", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.04993", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":13 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/100_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts", + "id": "main", + "arxiv_id": "2403.04993", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2403.04993", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 13 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/100_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zeyu Zhang", "Akide Liu", "Ian Reid", @@ -524,36 +440,30 @@ "Bohan Zhuang", "Hao Tang" ], - 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"title":"SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving", - "id":"main", - "arxiv_id":"2407.01702", - "GitHub":[ - "https:\/\/github.com\/kth-rpl\/deflow" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":19 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/144_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving", + "id": "main", + "arxiv_id": "2407.01702", + "GitHub": [ + "https://github.com/kth-rpl/deflow" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 19 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/144_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ta-Ying Cheng", "Prafull Sharma", "Andrew Markham", "Niki Trigoni", "Varun Jampani" ], - "title":"ZeST: Zero-Shot Material Transfer from a Single Image", - "id":"main", - "arxiv_id":"2404.06425", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.06425", - "n_linked_authors":1, - "upvotes":5, - "num_comments":2, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":20 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/145_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ZeST: Zero-Shot Material Transfer from a Single Image", + "id": "main", + "arxiv_id": "2404.06425", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2404.06425", + "n_linked_authors": 1, + "upvotes": 5, + "num_comments": 2, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 20 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/145_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yunzhi Zhang", "Zizhang Li", "Amit Raj", @@ -783,72 +657,60 @@ "Jiajun Wu", "Varun Jampani" ], - "title":"3D Congealing: 3D-Aware Image Alignment in the Wild", - "id":"main", - "arxiv_id":"2404.02125", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.02125", - "n_linked_authors":1, - "upvotes":6, - "num_comments":1, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":21 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/147_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "3D Congealing: 3D-Aware Image Alignment in the Wild", + "id": "main", + "arxiv_id": "2404.02125", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2404.02125", + "n_linked_authors": 1, + "upvotes": 6, + "num_comments": 1, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 21 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/147_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Lei Zhong", "Yiming Xie", "Varun Jampani", "Deqing Sun", "Huaizu Jiang" ], - "title":"SMooDi: Stylized Motion Diffusion Model", - "id":"main", - "arxiv_id":"2407.12783", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.12783", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":22 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/148_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SMooDi: Stylized Motion Diffusion Model", + "id": "main", + "arxiv_id": "2407.12783", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.12783", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 22 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/148_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Viraj Shah", "Nataniel Ruiz", "Forrester Cole", @@ -857,36 +719,30 @@ "Yuanzhen Li", "Varun Jampani" ], - 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"title":"SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion", - "id":"main", - "arxiv_id":"2403.12008", - "GitHub":[ + "title": "SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion", + "id": "main", + "arxiv_id": "2403.12008", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.12008", - "n_linked_authors":7, - "upvotes":19, - "num_comments":1, - "n_authors":9, - "Models":[ - "stabilityai\/sv3d" - ], - "Datasets":[ - - ], - "Spaces":[ - + "paper_page": "https://huggingface.co/papers/2403.12008", + "n_linked_authors": 7, + "upvotes": 19, + "num_comments": 1, + "n_authors": 9, + "Models": [ + "stabilityai/sv3d" ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":24 + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 24 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/151_ECCV_2024_paper.php", - 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"title":"SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras", - "id":"main", - "arxiv_id":"2403.10353", - "GitHub":[ - "https:\/\/github.com\/nullmax-vision\/simpb" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.10353", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":27 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/168_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras", + "id": "main", + "arxiv_id": "2403.10353", + "GitHub": [ + "https://github.com/nullmax-vision/simpb" + ], + "paper_page": "https://huggingface.co/papers/2403.10353", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 27 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/168_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Wenyang Zhou", "Zhiyang Dou", "Zeyu Cao", @@ -1043,36 +877,30 @@ "Wenping Wang", "Lingjie Liu" ], - 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"title":"Surface Reconstruction for 3D Gaussian Splatting via Local Structural Hints", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":51 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/280_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Surface Reconstruction for 3D Gaussian Splatting via Local Structural Hints", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 51 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/280_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Helisa Dhamo", "Yinyu Nie", "Arthur Moreau", @@ -1913,105 +1611,87 @@ "Yiren Zhou", "Eduardo P\u00e9rez-Pellitero" ], - "title":"HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting", - "id":"main", - "arxiv_id":"2312.02902", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.02902", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":52 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/289_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting", + "id": "main", + "arxiv_id": "2312.02902", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.02902", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 52 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/289_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hongyu Wen", "Erich Liang", "Jia Deng" ], - "title":"LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":53 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/294_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 53 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/294_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yuxin Wang", "Qianyi Wu", "Guofeng Zhang", "Dan Xu" ], - "title":"Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal", - "id":"main", - "arxiv_id":"2404.13679", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.13679", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":54 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/304_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal", + "id": "main", + "arxiv_id": "2404.13679", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2404.13679", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 54 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/304_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Friedhelm Hamann", "Ziyun Wang", "Ioannis Asmanis", @@ -2019,36 +1699,30 @@ "Guillermo Gallego", "Kostas Daniilidis" ], - 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"title":"Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":56 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/308_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 56 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/308_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Rishubh Parihar", "Harsh Gupta", "Sachidanand VS", "Venkatesh Babu RADHAKRISHNAN" ], - "title":"Text2Place: Affordance-aware Text Guided Human Placement", - "id":"main", - "arxiv_id":"2407.15446", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.15446", - "n_linked_authors":0, - "upvotes":2, - "num_comments":1, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":57 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/319_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Text2Place: Affordance-aware Text Guided Human Placement", + "id": "main", + "arxiv_id": "2407.15446", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.15446", + "n_linked_authors": 0, + "upvotes": 2, + "num_comments": 1, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 57 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/319_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yiming Zuo", "Jia Deng" ], - "title":"OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations", - "id":"main", - "arxiv_id":"2406.11711", - "GitHub":[ - "https:\/\/github.com\/princeton-vl\/ogni-dc" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2406.11711", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":2, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":58 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/324_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations", + "id": "main", + "arxiv_id": "2406.11711", + "GitHub": [ + "https://github.com/princeton-vl/ogni-dc" + ], + "paper_page": "https://huggingface.co/papers/2406.11711", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 2, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 58 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/324_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shun Iwase", "Katherine Liu", "Vitor Guizilini", @@ -2162,36 +1818,30 @@ "Rare\u0219 A Ambru\u0219", "Sergey Zakharov" ], - 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Black", "Xue Bin Peng", "Davis Rempe" ], - "title":"Generating Human Interaction Motions in Scenes with Text Control", - "id":"main", - "arxiv_id":"2404.10685", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":93 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/553_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Generating Human Interaction Motions in Scenes with Text Control", + "id": "main", + "arxiv_id": "2404.10685", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 93 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/553_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Artur Jesslen", "Guofeng Zhang", "Angtian Wang", @@ -3490,36 +2958,30 @@ "Alan Yuille", "Adam Kortylewski" ], - 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"title":"SAIR: Learning Semantic-aware Implicit Representation", - "id":"main", - "arxiv_id":"2310.09285", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2310.09285", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":97 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/578_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SAIR: Learning Semantic-aware Implicit Representation", + "id": "main", + "arxiv_id": "2310.09285", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2310.09285", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 97 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/578_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yixin Yang", "Jiangxin Dong", "Jinhui Tang", "Jinshan Pan" ], - "title":"ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization", - "id":"main", - "arxiv_id":"2404.06251", - "GitHub":[ - "https:\/\/github.com\/yyang181\/colormnet" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.06251", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":98 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/581_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization", + "id": "main", + "arxiv_id": "2404.06251", + "GitHub": [ + "https://github.com/yyang181/colormnet" + ], + "paper_page": "https://huggingface.co/papers/2404.06251", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 98 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/581_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yannis Kalantidis", "Diane Larlus", "Mert Bulent Sariyildiz", "Philippe Weinzaepfel", "Thomas LUCAS" ], - 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"title":"Plain-Det: A Plain Multi-Dataset Object Detector", - "id":"main", - "arxiv_id":"2407.10083", - "GitHub":[ - "https:\/\/github.com\/chengshiest\/plain-det" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.10083", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":119 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/764_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Plain-Det: A Plain Multi-Dataset Object Detector", + "id": "main", + "arxiv_id": "2407.10083", + "GitHub": [ + "https://github.com/chengshiest/plain-det" + ], + "paper_page": "https://huggingface.co/papers/2407.10083", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 119 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/764_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhen Zhao", "Zicheng Wang", "Dian Yu", @@ -4452,105 +3764,87 @@ "Yixuan Yuan", "Luping Zhou" ], - "title":"Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation", - "id":"main", - "arxiv_id":"2311.17325", - "GitHub":[ - "https:\/\/github.com\/zhenzhao\/ad-mt" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":120 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/780_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation", + "id": "main", + "arxiv_id": "2311.17325", + "GitHub": [ + "https://github.com/zhenzhao/ad-mt" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 120 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/780_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Wei Cong", "Yang Cong", "Yuyang Liu", "Gan Sun" ], - "title":"Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation", - "id":"main", - "arxiv_id":"2407.09047", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":121 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/786_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation", + "id": "main", + "arxiv_id": "2407.09047", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 121 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/786_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Dongliang Cao", "Zorah Laehner", "Florian Bernard" ], - "title":"Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching", - "id":"main", - "arxiv_id":"2407.08244", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":122 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/790_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching", + "id": "main", + "arxiv_id": "2407.08244", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 122 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/790_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "David Fan", "Jue Wang", "Shuai Liao", @@ -4558,105 +3852,87 @@ "Vimal Bhat", "Xinyu Li" ], - "title":"Text-Guided Video Masked Autoencoder", - "id":"main", - "arxiv_id":"2408.00759", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2408.00759", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":123 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/794_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Text-Guided Video Masked Autoencoder", + "id": "main", + "arxiv_id": "2408.00759", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2408.00759", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 123 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/794_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Laurynas Karazija", "Iro Laina", "Andrea Vedaldi", "Christian Rupprecht" ], - "title":"Diffusion Models for Open-Vocabulary Segmentation", - "id":"main", - "arxiv_id":"2306.09316", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2306.09316", - "n_linked_authors":1, - "upvotes":9, - "num_comments":1, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":124 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/796_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Diffusion Models for Open-Vocabulary Segmentation", + "id": "main", + "arxiv_id": "2306.09316", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2306.09316", + "n_linked_authors": 1, + "upvotes": 9, + "num_comments": 1, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 124 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/796_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Peixi Xiong", "Michael A Kozuch", "Nilesh Jain" ], - "title":"Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":125 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/799_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 125 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/799_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Pengyu Zhang", "Hao Yin", "Zeren Wang", @@ -4666,36 +3942,30 @@ "Huchuan Lu", "Xu Jia" ], - "title":"EvSign: Sign Language Recognition and Translation with Streaming Events", - "id":"main", - "arxiv_id":"2407.12593", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":126 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/808_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "EvSign: Sign Language Recognition and Translation with Streaming Events", + "id": "main", + "arxiv_id": "2407.12593", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 126 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/808_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Pengxiang Ding", "Han Zhao", "Wenjie Zhang", @@ -4705,36 +3975,30 @@ "Ningxi Yang", "Donglin Wang" ], - 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"title":"Zero-shot Object Counting with Good Exemplars", - "id":"main", - "arxiv_id":"2407.04948", - "GitHub":[ - "https:\/\/github.com\/hopoolinz\/va-count" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.04948", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":128 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/813_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Zero-shot Object Counting with Good Exemplars", + "id": "main", + "arxiv_id": "2407.04948", + "GitHub": [ + "https://github.com/hopoolinz/va-count" + ], + "paper_page": "https://huggingface.co/papers/2407.04948", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 128 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/813_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jingye Chen", "Yupan Huang", "Tengchao Lv", @@ -4780,37 +4038,33 @@ "Qifeng Chen", "Furu Wei" ], - 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"title":"G3R: Gradient Guided Generalizable Reconstruction", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":151 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/996_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "G3R: Gradient Guided Generalizable Reconstruction", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 151 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/996_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shijie Zhou", "Zhiwen Fan", "Dejia Xu", @@ -5658,72 +4788,60 @@ "Zhangyang Wang", "Achuta Kadambi" ], - 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"title":"Frequency-Spatial Entanglement Learning for Camouflaged Object Detection", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "https:\/\/github.com\/csysi\/fsel" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":153 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1005_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Frequency-Spatial Entanglement Learning for Camouflaged Object Detection", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "https://github.com/csysi/fsel" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 153 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1005_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Seokha Moon", "Hyun Woo", "Hongbeen Park", @@ -5734,36 +4852,30 @@ "Sangpil Kim", "Jinkyu Kim" ], - 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"title":"Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":155 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1019_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 155 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1019_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shuai Tan", "Bin Ji", "Mengxiao Bi", "ye pan" ], - "title":"EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis", - "id":"main", - "arxiv_id":"2404.01647", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.01647", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":156 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1023_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis", + "id": "main", + "arxiv_id": "2404.01647", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2404.01647", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 156 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1023_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Chuofan Ma", "Yi Jiang", "Jiannan Wu", "Zehuan Yuan", "Xiaojuan Qi" ], - "title":"Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models", - "id":"main", - "arxiv_id":"2404.13013", - "GitHub":[ - "https:\/\/github.com\/FoundationVision\/Groma" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.13013", - "n_linked_authors":3, - "upvotes":29, - "num_comments":2, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - "FoundationVision\/groma_instruct" - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":157 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1025_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models", + "id": "main", + "arxiv_id": "2404.13013", + "GitHub": [ + "https://github.com/FoundationVision/Groma" + ], + "paper_page": "https://huggingface.co/papers/2404.13013", + "n_linked_authors": 3, + "upvotes": 29, + "num_comments": 2, + "n_authors": 5, + "Models": [], + "Datasets": [ + "FoundationVision/groma_instruct" + ], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 157 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1025_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Md Salman Shamil", "Dibyadip Chatterjee", "Fadime Sener", "Shugao Ma", "Angela Yao" ], - 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"title":"WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation", - "id":"main", - "arxiv_id":"2407.15502", - "GitHub":[ - "https:\/\/github.com\/alibabaresearch\/advancedliteratemachinery" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.15502", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":191 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1247_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation", + "id": "main", + "arxiv_id": "2407.15502", + "GitHub": [ + "https://github.com/alibabaresearch/advancedliteratemachinery" + ], + "paper_page": "https://huggingface.co/papers/2407.15502", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 191 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1247_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Changshuo Wang", "Meiqing Wu", "Siew-Kei Lam", @@ -7107,36 +6003,30 @@ "Weijun Li", "Thambipillai Srikanthan" ], - "title":"GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding", - "id":"main", - "arxiv_id":"2407.13519", - "GitHub":[ - "https:\/\/github.com\/changshuowang\/GPSFormer" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.13519", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":192 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1249_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding", + "id": "main", + "arxiv_id": "2407.13519", + "GitHub": [ + "https://github.com/changshuowang/GPSFormer" + ], + "paper_page": "https://huggingface.co/papers/2407.13519", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 192 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1249_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ke Fan", "Junshu Tang", "Weijian Cao", @@ -7148,36 +6038,30 @@ "Chengjie Wang", "Lizhuang Ma" ], - "title":"FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis", - "id":"main", - "arxiv_id":"2405.15763", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":193 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1250_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis", + "id": "main", + "arxiv_id": "2405.15763", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 193 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1250_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zheng Jiang", "Jinqing Zhang", "Yanan Zhang", @@ -7186,36 +6070,30 @@ "Baohui Wang", "Yunhong Wang" ], - "title":"FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection", - "id":"main", - "arxiv_id":"2407.10135", - "GitHub":[ - "https:\/\/github.com\/cocoboom\/fsd-bev" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":194 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1255_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection", + "id": "main", + "arxiv_id": "2407.10135", + "GitHub": [ + "https://github.com/cocoboom/fsd-bev" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 194 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1255_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yang Miao", "Francis Engelmann", "Olga Vysotska", @@ -7223,72 +6101,60 @@ "Marc Pollefeys", "Daniel Barath" ], - 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"title":"ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities", - "id":"main", - "arxiv_id":"2407.01525", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.01525", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":196 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1270_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities", + "id": "main", + "arxiv_id": "2407.01525", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.01525", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 196 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1270_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Renrui Zhang", "Dongzhi Jiang", "Yichi Zhang", @@ -7301,37 +6167,33 @@ "Peng Gao", "Hongsheng Li" ], - "title":"MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?", - "id":"main", - "arxiv_id":"2403.14624", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.14624", - "n_linked_authors":9, - "upvotes":50, - "num_comments":3, - "n_authors":11, - "Models":[ - - ], - "Datasets":[ - "AI4Math\/MathVerse", - "CaraJ\/MathVerse-lmmseval" - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":197 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1280_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?", + "id": "main", + "arxiv_id": "2403.14624", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2403.14624", + "n_linked_authors": 9, + "upvotes": 50, + "num_comments": 3, + "n_authors": 11, + "Models": [], + "Datasets": [ + "AI4Math/MathVerse", + "CaraJ/MathVerse-lmmseval" + ], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 197 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1280_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhonghan Zhao", "Xuan Wang", "Wenhao Chai", @@ -7341,71 +6203,59 @@ "Tian Ye", "Gaoang Wang" ], - "title":"See and Think: Embodied Agent in Virtual Environment", - "id":"main", - "arxiv_id":"2311.15209", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2311.15209", - "n_linked_authors":1, - "upvotes":2, - "num_comments":0, - "n_authors":9, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":198 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1284_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "See and Think: Embodied Agent in Virtual Environment", + "id": "main", + "arxiv_id": "2311.15209", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2311.15209", + "n_linked_authors": 1, + "upvotes": 2, + "num_comments": 0, + "n_authors": 9, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 198 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1284_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Guangcheng Chen", "Yicheng He", "Li He", "Hong Zhang" ], - "title":"PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":199 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1286_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 199 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1286_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xinpeng Liu", "Yong-Lu Li", "Ailing Zeng", @@ -7413,36 +6263,30 @@ "Yang You", "Cewu Lu" ], - 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Manmatha" ], - "title":"VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding", - "id":"main", - "arxiv_id":"2407.12594", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.12594", - "n_linked_authors":3, - "upvotes":18, - "num_comments":4, - "n_authors":10, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":201 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1288_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding", + "id": "main", + "arxiv_id": "2407.12594", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.12594", + "n_linked_authors": 3, + "upvotes": 18, + "num_comments": 4, + "n_authors": 10, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 201 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1288_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhihao Li", "Biao Hou", "Siteng Ma", @@ -7492,176 +6330,146 @@ "bo ren", "Licheng Jiao" ], - 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"title":"Weakly-supervised Camera Localization by Ground-to-satellite Image Registration", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":217 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1370_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Weakly-supervised Camera Localization by Ground-to-satellite Image Registration", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 217 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1370_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ziheng Qin", "zhaopan xu", "YuKun Zhou", @@ -8075,71 +6821,59 @@ "Hongxun Yao", "Yang You" ], - 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"title":"LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning", - "id":"main", - "arxiv_id":"2312.03849", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.03849", - "n_linked_authors":4, - "upvotes":5, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":222 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1393_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning", + "id": "main", + "arxiv_id": "2312.03849", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.03849", + "n_linked_authors": 4, + "upvotes": 5, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 222 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1393_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Guohao Sun", "Can Qin", "JIAMINAN WANG", @@ -8260,36 +6976,30 @@ "Ran Xu", "Zhiqiang Tao" ], - 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"title":"Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation", - "id":"main", - "arxiv_id":"2305.03907", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":225 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1397_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation", + "id": "main", + "arxiv_id": "2305.03907", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 225 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1397_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xiang Li", "Kai Qiu", "Jinglu Wang", @@ -8374,69 +7072,57 @@ "Xiaonan Huang", "Bhiksha Raj" ], - 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"title":"Self-supervised co-salient object detection via feature correspondences at multiple scales", - "id":"main", - "arxiv_id":"2403.11107", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":227 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1403_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Self-supervised co-salient object detection via feature correspondences at multiple scales", + "id": "main", + "arxiv_id": "2403.11107", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 227 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1403_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Daxuan Ren", "Haiyi Mei", "Hezi Shi", @@ -8444,71 +7130,59 @@ "Jianfei Cai", "Lei Yang" ], - 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"title":"SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields", - "id":"main", - "arxiv_id":"2408.06697", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2408.06697", - "n_linked_authors":4, - "upvotes":13, - "num_comments":2, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":229 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1407_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields", + "id": "main", + "arxiv_id": "2408.06697", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2408.06697", + "n_linked_authors": 4, + "upvotes": 13, + "num_comments": 2, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 229 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1407_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Baoxiong Jia", "Yixin Chen", "Huangyue Yu", @@ -8518,36 +7192,30 @@ "Qing Li", "Siyuan Huang" ], - "title":"SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding", - "id":"main", - "arxiv_id":"2401.09340", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2401.09340", - "n_linked_authors":8, - "upvotes":18, - "num_comments":1, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":230 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1418_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding", + "id": "main", + "arxiv_id": "2401.09340", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2401.09340", + "n_linked_authors": 8, + "upvotes": 18, + "num_comments": 1, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 230 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1418_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Haotian Hu", "Fanyi Wang", "Yaonong Wang", @@ -8555,36 +7223,30 @@ "Jingwei Xu", "Zhiwang Zhang" ], - "title":"ADMap: Anti-disturbance Framework for Vectorized HD Map Construction", - "id":"main", - "arxiv_id":"2401.13172", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":231 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1421_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ADMap: Anti-disturbance Framework for Vectorized HD Map Construction", + "id": "main", + "arxiv_id": "2401.13172", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 231 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1421_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xinjie Zhang", "Xingtong Ge", "Tongda Xu", @@ -8595,36 +7257,30 @@ "Jing Geng", "Jun Zhang" ], - 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"title":"Modeling and Driving Human Body Soundfields through Acoustic Primitives", - "id":"main", - "arxiv_id":"2407.13083", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":242 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1486_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Modeling and Driving Human Body Soundfields through Acoustic Primitives", + "id": "main", + "arxiv_id": "2407.13083", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 242 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1486_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zixian Ma", "Weikai Huang", "Jieyu Zhang", "Tanmay Gupta", "Ranjay Krishna" ], - "title":"m&m\u2019s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks", - "id":"main", - "arxiv_id":"2403.11085", - "GitHub":[ + "title": "m&m\u2019s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks", + "id": "main", + "arxiv_id": "2403.11085", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.11085", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - "zixianma\/mnms" - ], - "Spaces":[ - + "paper_page": "https://huggingface.co/papers/2403.11085", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [ + "zixianma/mnms" ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":243 + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 243 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1492_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - 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"title":"High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":245 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1500_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 245 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1500_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hongtao Wu", "Angelica I Aviles-Rivero", "Yijun Yang", @@ -9111,36 +7691,30 @@ "Haoyu Chen", "Lei Zhu" ], - 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"title":"Implicit Style-Content Separation using B-LoRA", - "id":"main", - "arxiv_id":"2403.14572", - "GitHub":[ + "title": "Implicit Style-Content Separation using B-LoRA", + "id": "main", + "arxiv_id": "2403.14572", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.14572", - "n_linked_authors":0, - "upvotes":4, - "num_comments":2, - "n_authors":4, - "Models":[ - + "paper_page": "https://huggingface.co/papers/2403.14572", + "n_linked_authors": 0, + "upvotes": 4, + "num_comments": 2, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [ + "Yardenfren/B-LoRA" ], - "Datasets":[ - - ], - "Spaces":[ - "Yardenfren\/B-LoRA" - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":252 + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 252 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1552_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1552_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zijian Zhou", "Zheng Zhu", "Holger Caesar", "Miaojing Shi" ], - "title":"OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models", - "id":"main", - "arxiv_id":"2407.11213", - "GitHub":[ - "https:\/\/github.com\/franciszzj\/OpenPSG" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.11213", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":253 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1553_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models", + "id": "main", + "arxiv_id": "2407.11213", + "GitHub": [ + "https://github.com/franciszzj/OpenPSG" + ], + "paper_page": "https://huggingface.co/papers/2407.11213", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 253 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1553_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Liangyang Ouyang", "Ruicong Liu", "Yifei Huang", "Ryosuke Furuta", "Yoichi Sato" ], - "title":"ActionVOS: Actions as Prompts for Video Object Segmentation", - "id":"main", - "arxiv_id":"2407.07402", - "GitHub":[ - "https:\/\/github.com\/ut-vision\/actionvos" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.07402", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":254 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1558_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ActionVOS: Actions as Prompts for Video Object Segmentation", + "id": "main", + "arxiv_id": "2407.07402", + "GitHub": [ + "https://github.com/ut-vision/actionvos" + ], + "paper_page": "https://huggingface.co/papers/2407.07402", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 254 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1558_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiedong Zhuang", "Jiaqi Hu", "Lianrui Mu", @@ -9438,36 +7968,30 @@ "Jiangnan Ye", "Haoji Hu" ], - "title":"FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance", - "id":"main", - "arxiv_id":"2407.05578", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.05578", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":255 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1566_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance", + "id": "main", + "arxiv_id": "2407.05578", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.05578", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 255 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1566_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "li zhang", "Weiqing Meng", "Yan Zhong", @@ -9478,36 +8002,30 @@ "Rujing Wang", "Liu Liu" ], - "title":"U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":256 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1578_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 256 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1578_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Naiyu Yin", "Hanjing Wang", "Yue Yu", @@ -9515,71 +8033,59 @@ "Amit Dhurandhar", "Qiang Ji" ], - "title":"Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":257 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1584_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 257 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1584_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Byeongho Heo", "Song Park", "Dongyoon Han", "Sangdoo Yun" ], - "title":"Rotary Position Embedding for Vision Transformer", - "id":"main", - "arxiv_id":"2403.13298", - "GitHub":[ - "https:\/\/github.com\/naver-ai\/rope-vit" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.13298", - "n_linked_authors":1, - "upvotes":3, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":258 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1595_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Rotary Position Embedding for Vision Transformer", + "id": "main", + "arxiv_id": "2403.13298", + "GitHub": [ + "https://github.com/naver-ai/rope-vit" + ], + "paper_page": "https://huggingface.co/papers/2403.13298", + "n_linked_authors": 1, + "upvotes": 3, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 258 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1595_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Seokju Cho", "Jiahui Huang", "Jisu Nam", @@ -9587,71 +8093,61 @@ "Seungryong Kim", "Joon-Young Lee" ], - "title":"Local All-Pair Correspondence for Point Tracking", - "id":"main", - "arxiv_id":"2407.15420", - "GitHub":[ + "title": "Local All-Pair Correspondence for Point Tracking", + "id": "main", + "arxiv_id": "2407.15420", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.15420", - "n_linked_authors":5, - "upvotes":5, - "num_comments":2, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - + "paper_page": "https://huggingface.co/papers/2407.15420", + "n_linked_authors": 5, + "upvotes": 5, + "num_comments": 2, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [ + "hamacojr/LocoTrack" ], - "Spaces":[ - "hamacojr\/LocoTrack" - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":259 + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 259 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1600_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1600_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Youngmin Oh", "Hyung-Il Kim", "Seong Tae Kim", "Jung Uk Kim" ], - 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"title":"CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing", - "id":"main", - "arxiv_id":"2405.10690", - "GitHub":[ - "https:\/\/github.com\/faeghehsardari\/coleaf" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":269 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1688_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing", + "id": "main", + "arxiv_id": "2405.10690", + "GitHub": [ + "https://github.com/faeghehsardari/coleaf" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 269 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1688_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Dong Li", "Jiaying Zhu", "Xueyang Fu", @@ -9992,186 +8434,160 @@ "Jiawei Liu", "Zheng-Jun Zha" ], - 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"title":"Data Collection-free Masked Video Modeling", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":271 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1691_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Data Collection-free Masked Video Modeling", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 271 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1691_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Qi Song", "Ziyuan Luo", "Ka Chun Cheung", "Simon See", "Renjie Wan" ], - "title":"Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model", - "id":"main", - "arxiv_id":"2407.07735", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":272 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/1705_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model", + "id": "main", + "arxiv_id": "2407.07735", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 272 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/1705_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tao Yang", "Rongyuan Wu", "Peiran Ren", "Xuansong Xie", "Lei Zhang" ], - 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"title":"UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues", - "id":"main", - "arxiv_id":"2404.14634", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.14634", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":405 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2419_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues", + "id": "main", + "arxiv_id": "2404.14634", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2404.14634", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 405 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2419_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xinya Chen", "Hanlei Guo", "Yanrui Bin", @@ -14927,36 +12573,30 @@ "Yue Wang", "Yiyi Liao" ], - 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Black", @@ -15653,36 +13179,30 @@ "Justus Thies", "Otmar Hilliges" ], - "title":"Human Hair Reconstruction with Strand-Aligned 3D Gaussians", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":426 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2507_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Human Hair Reconstruction with Strand-Aligned 3D Gaussians", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 426 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2507_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiefeng Li", "Ye Yuan", "Davis Rempe", @@ -15692,36 +13212,30 @@ "Jan Kautz", "Umar Iqbal" ], - 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"title":"Global-to-Pixel Regression for Human Mesh Recovery", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":430 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2515_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Global-to-Pixel Regression for Human Mesh Recovery", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 430 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2515_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Bing Cao", "Haiyu Yao", "Pengfei Zhu", "Qinghua Hu" ], - "title":"Visible and Clear: Finding Tiny Objects in Difference Map", - "id":"main", - "arxiv_id":"2405.11276", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":431 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2525_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Visible and Clear: Finding Tiny Objects in Difference Map", + "id": "main", + "arxiv_id": "2405.11276", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 431 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2525_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Go Ohtani", "Ryu Tadokoro", "Ryosuke Yamada", @@ -15876,36 +13366,30 @@ "Hirokatsu Kataoka", "Yoshimitsu Aoki" ], - 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"title":"Efficient Inference of Vision Instruction-Following Models with Elastic Cache", - "id":"main", - "arxiv_id":"2407.18121", - "GitHub":[ - "https:\/\/github.com\/liuzuyan\/elasticcache" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.18121", - "n_linked_authors":6, - "upvotes":15, - "num_comments":2, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":434 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2529_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Efficient Inference of Vision Instruction-Following Models with Elastic Cache", + "id": "main", + "arxiv_id": "2407.18121", + "GitHub": [ + "https://github.com/liuzuyan/elasticcache" + ], + "paper_page": "https://huggingface.co/papers/2407.18121", + "n_linked_authors": 6, + "upvotes": 15, + "num_comments": 2, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 434 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2529_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhekai Chen", "Wen Wang", "Zhen Yang", @@ -15990,72 +13462,60 @@ "Hao Chen", "Chunhua Shen" ], - "title":"FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior", - "id":"main", - "arxiv_id":"2407.04947", - "GitHub":[ - "https:\/\/github.com\/aim-uofa\/FreeCompose" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":435 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2547_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior", + "id": "main", + "arxiv_id": "2407.04947", + "GitHub": [ + "https://github.com/aim-uofa/FreeCompose" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 435 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2547_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Liwen Hu", "Ziluo Ding", "Mianzhi Liu", "Lei Ma", "Tiejun Huang" ], - "title":"Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams", - "id":"main", - "arxiv_id":"2401.10461", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":436 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2551_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams", + "id": "main", + "arxiv_id": "2401.10461", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 436 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2551_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Kuo Wang", "Lechao Cheng", "Weikai Chen", @@ -16064,36 +13524,30 @@ "Fan Zhou", "Guanbin Li" ], - 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Lau" ], - "title":"PoseSOR: Human Pose Can Guide Our Attention", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":476 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2800_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "PoseSOR: Human Pose Can Guide Our Attention", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 476 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2800_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Bu Jin", "Yupeng Zheng", "Pengfei Li", @@ -17554,108 +14782,90 @@ "Yilun Chen", "Hao Zhao" ], - 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"title":"Multi-Person Pose Forecasting with Individual Interaction Perceptron and Prior Learning", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":479 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2810_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Multi-Person Pose Forecasting with Individual Interaction Perceptron and Prior Learning", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 479 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2810_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Fangcen Liu", "Chenqiang Gao", "Yaming Zhang", @@ -17663,71 +14873,59 @@ "Jinghao Wang", "Deyu Meng" ], - 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"title":"Quantized Prompt for Efficient Generalization of Vision-Language Models", - "id":"main", - "arxiv_id":"2407.10704", - "GitHub":[ - "https:\/\/github.com\/beyondhtx\/qprompt" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":487 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2834_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Quantized Prompt for Efficient Generalization of Vision-Language Models", + "id": "main", + "arxiv_id": "2407.10704", + "GitHub": [ + "https://github.com/beyondhtx/qprompt" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 487 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2834_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Youngkil Song", "Dongkeun Kim", "Minsu Cho", "Suha Kwak" ], - "title":"Online Temporal Action Localization with Memory-Augmented Transformer", - "id":"main", - "arxiv_id":"2408.02957", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2408.02957", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":488 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2840_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Online Temporal Action Localization with Memory-Augmented Transformer", + "id": "main", + "arxiv_id": "2408.02957", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2408.02957", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 488 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2840_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yichen Zhou", "Pan Zhou", "Teck Khim Ng" ], - "title":"Efficient Cascaded Multiscale Adaptive Network for Image Restoration", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":489 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2842_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Efficient Cascaded Multiscale Adaptive Network for Image Restoration", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 489 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2842_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Muyao Niu", "Xiaodong Cun", "Xintao Wang", @@ -18031,37 +15181,35 @@ "Ying Shan", "Yinqiang Zheng" ], - "title":"MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model", - "id":"main", - "arxiv_id":"2405.20222", - "GitHub":[ - "https:\/\/github.com\/myniuuu\/mofa-video" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2405.20222", - "n_linked_authors":3, - "upvotes":10, - "num_comments":1, - "n_authors":6, - "Models":[ - "MyNiuuu\/MOFA-Video-Hybrid", - "MyNiuuu\/MOFA-Video-Traj" - ], - "Datasets":[ - - ], - "Spaces":[ - "dkrajews\/MOFA-demo" - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":490 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2865_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model", + "id": "main", + "arxiv_id": "2405.20222", + "GitHub": [ + "https://github.com/myniuuu/mofa-video" + ], + "paper_page": "https://huggingface.co/papers/2405.20222", + "n_linked_authors": 3, + "upvotes": 10, + "num_comments": 1, + "n_authors": 6, + "Models": [ + "MyNiuuu/MOFA-Video-Hybrid", + "MyNiuuu/MOFA-Video-Traj" + ], + "Datasets": [], + "Spaces": [ + "dkrajews/MOFA-demo" + ], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 490 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2865_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yihong Cao", "Jiaming Zhang", "Hao Shi", @@ -18071,70 +15219,58 @@ "Rainer Stiefelhagen", "Kailun Yang" ], - 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"title":"OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":492 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2873_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 492 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2873_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Kunyu Peng", "Jia Fu", "Kailun Yang", @@ -18147,36 +15283,30 @@ "Rainer Stiefelhagen", "Alina Roitberg" ], - 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"title":"Agent3D-Zero: An Agent for Zero-shot 3D Understanding", - "id":"main", - "arxiv_id":"2403.11835", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":494 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2879_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Agent3D-Zero: An Agent for Zero-shot 3D Understanding", + "id": "main", + "arxiv_id": "2403.11835", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 494 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2879_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shuo Wang", "Fan Jia", "Weixin Mao", @@ -18226,108 +15350,90 @@ "Xiangyu Zhang", "Feng Zhao" ], - "title":"Stream Query Denoising for Vectorized HD-Map Construction", - "id":"main", - "arxiv_id":"2401.09112", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":495 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2887_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Stream Query Denoising for Vectorized HD-Map Construction", + "id": "main", + "arxiv_id": "2401.09112", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 495 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2887_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Evangelos Ververas", "Rolandos Alexandros Potamias", "Jifei Song", "Jiankang Deng", "Stefanos Zafeiriou" ], - 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"title":"Pixel-GS Density Control with Pixel-aware Gradient for 3D Gaussian Splatting", - "id":"main", - "arxiv_id":"2403.15530", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":502 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2927_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Pixel-GS Density Control with Pixel-aware Gradient for 3D Gaussian Splatting", + "id": "main", + "arxiv_id": "2403.15530", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 502 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/2927_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tianjian Jiang", "Johsan Billingham", "Sebastian M\u00fcksch", @@ -18527,36 +15603,30 @@ "Manuel Kaufmann", "Jie Song" ], - 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"title":"Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance", - "id":"main", - "arxiv_id":"2407.13842", - "GitHub":[ + "title": "Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance", + "id": "main", + "arxiv_id": "2407.13842", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.13842", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - "airvlab\/Grasp-Anything-6D" + "paper_page": "https://huggingface.co/papers/2407.13842", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 8, + "Models": [], + "Datasets": [ + "airvlab/Grasp-Anything-6D" ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":504 + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 504 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/2943_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - 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"title":"AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting", - "id":"main", - "arxiv_id":"2403.09513", - "GitHub":[ - "https:\/\/github.com\/rain305f\/adashield" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":513 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3004_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting", + "id": "main", + "arxiv_id": "2403.09513", + "GitHub": [ + "https://github.com/rain305f/adashield" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 513 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3004_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Guoqing Wang", "Zhongdao Wang", "Pin Tang", @@ -18929,36 +15941,30 @@ "Bailan Feng", "Chao Ma" ], - "title":"OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving", - "id":"main", - "arxiv_id":"2404.15014", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":514 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3008_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving", + "id": "main", + "arxiv_id": "2404.15014", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 514 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3008_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tingbing Yan", "Wenzheng Zeng", "Yang Xiao", @@ -18968,36 +15974,30 @@ "Zhiguo Cao", "Joey Tianyi Zhou" ], - "title":"CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner", - "id":"main", - "arxiv_id":"2403.10082", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":515 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3012_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner", + "id": "main", + "arxiv_id": "2403.10082", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 515 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3012_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Fucai Ke", "Zhixi Cai", "Simindokht Jahangard", @@ -19005,36 +16005,30 @@ "Pari Delir Haghighi", "Hamid Rezatofighi" ], - "title":"HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning", - "id":"main", - "arxiv_id":"2403.12884", - "GitHub":[ - "https:\/\/github.com\/ControlNet\/HYDRA" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.12884", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":516 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3014_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning", + "id": "main", + "arxiv_id": "2403.12884", + "GitHub": [ + "https://github.com/ControlNet/HYDRA" + ], + "paper_page": "https://huggingface.co/papers/2403.12884", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 516 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3014_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xuan Ju", "Xian Liu", "Xintao Wang", @@ -19042,38 +16036,36 @@ "Ying Shan", "Qiang Xu" ], - "title":"BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion", - "id":"main", - "arxiv_id":"2403.06976", - "GitHub":[ - "https:\/\/github.com\/tencentarc\/brushnet" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.06976", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":6, - "Models":[ - "ameerazam08\/BrushNet" - ], - "Datasets":[ - - ], - "Spaces":[ - "TencentARC\/BrushNet", - "cocktailpeanut\/BrushNet", - "allAI-tools\/BrushNet" - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":517 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3022_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion", + "id": "main", + "arxiv_id": "2403.06976", + "GitHub": [ + "https://github.com/tencentarc/brushnet" + ], + "paper_page": "https://huggingface.co/papers/2403.06976", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 6, + "Models": [ + "ameerazam08/BrushNet" + ], + "Datasets": [], + "Spaces": [ + "TencentARC/BrushNet", + "cocktailpeanut/BrushNet", + "allAI-tools/BrushNet" + ], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 517 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3022_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ning Yu", "Chia-chih Chen", "Zeyuan Chen", @@ -19084,36 +16076,30 @@ "Caiming Xiong", "Ran Xu" ], - "title":"LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer", - "id":"main", - "arxiv_id":"2212.09877", - "GitHub":[ - "https:\/\/github.com\/salesforce\/layoutdetr" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2212.09877", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":9, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":518 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3024_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer", + "id": "main", + "arxiv_id": "2212.09877", + "GitHub": [ + "https://github.com/salesforce/layoutdetr" + ], + "paper_page": "https://huggingface.co/papers/2212.09877", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 9, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 518 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3024_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Chanseok Lee", "Jeongsol Kim", "Seungmin Lee", @@ -19124,70 +16110,58 @@ "Myungjun Lee", "Mooseok Jang" ], - "title":"Blind image deblurring with noise-robust kernel estimation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":519 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3025_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Blind image deblurring with noise-robust kernel estimation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 519 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3025_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Geyou Zhang", "Ce Zhu", "Kai Liu" ], - "title":"Binomial Self-compensation for Motion Error in Dynamic 3D Scanning", - "id":"main", - "arxiv_id":"2404.06693", - "GitHub":[ - "https:\/\/github.com\/geyouzhang\/bsc" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":520 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3028_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Binomial Self-compensation for Motion Error in Dynamic 3D Scanning", + "id": "main", + "arxiv_id": "2404.06693", + "GitHub": [ + "https://github.com/geyouzhang/bsc" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 520 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3028_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Dongxu Yue", "Maomao Li", "Yunfei Liu", @@ -19196,36 +16170,30 @@ "Qin Guo", "Yu Li" ], - "title":"AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":521 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3030_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 521 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3030_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yue Xu", "Yong-Lu Li", "Kaitong Cui", @@ -19234,36 +16202,30 @@ "Yu-Wing Tai", "Chi-Keung Tang" ], - "title":"Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation", - "id":"main", - "arxiv_id":"2305.18381", - "GitHub":[ - "https:\/\/github.com\/silicx\/goldfromores" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":522 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3032_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation", + "id": "main", + "arxiv_id": "2305.18381", + "GitHub": [ + "https://github.com/silicx/goldfromores" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 522 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3032_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Renjie Li", "Zhiwen Fan", "Bohua Wang", @@ -19271,36 +16233,30 @@ "Zhangyang Wang", "Xi Wu" ], - "title":"VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":523 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3037_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 523 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3037_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Junhao Su", "Changpeng Cai", "Feiyu Zhu", @@ -19309,36 +16265,30 @@ "Dongzhi Guan", "Chenyang Si" ], - 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"title":"On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines", - "id":"main", - "arxiv_id":"2405.20459", - "GitHub":[ - "https:\/\/github.com\/fiveai\/detection_calibration" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2405.20459", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":546 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3153_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines", + "id": "main", + "arxiv_id": "2405.20459", + "GitHub": [ + "https://github.com/fiveai/detection_calibration" + ], + "paper_page": "https://huggingface.co/papers/2405.20459", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 546 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3153_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Sakib Reza", "Yuexi Zhang", "Mohsen Moghaddam", "Octavia Camps" ], - "title":"HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization", - "id":"main", - "arxiv_id":"2408.06437", - "GitHub":[ - "https:\/\/github.com\/sakibreza\/eccv24-hat" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":547 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3155_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization", + "id": "main", + "arxiv_id": "2408.06437", + "GitHub": [ + "https://github.com/sakibreza/eccv24-hat" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 547 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3155_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Chiao-An Yang", "Ziwei Liu", "Raymond Yeh" ], - 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"title":"Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning", - "id":"main", - "arxiv_id":"2403.07362", - "GitHub":[ - "https:\/\/github.com\/optml-group\/unlearn-worstcase" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":551 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3174_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning", + "id": "main", + "arxiv_id": "2403.07362", + "GitHub": [ + "https://github.com/optml-group/unlearn-worstcase" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 551 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3174_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Dmytro Kotovenko", "Olga Grebenkova", "Nikolaos Sarafianos", @@ -20319,70 +17109,58 @@ "Rakesh Ranjan", "Bjorn Ommer" ], - 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"title":"SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference", - "id":"main", - "arxiv_id":"2312.01597", - "GitHub":[ - "https:\/\/github.com\/wangf3014\/sclip" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":553 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3184_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference", + "id": "main", + "arxiv_id": "2312.01597", + "GitHub": [ + "https://github.com/wangf3014/sclip" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 553 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3184_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Anagh Malik", "Noah Juravsky", "Ryan Po", @@ -20390,71 +17168,59 @@ "Kiriakos N. 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"title":"SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images", - "id":"main", - "arxiv_id":"2407.09686", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":632 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3506_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images", + "id": "main", + "arxiv_id": "2407.09686", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 632 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3506_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Mohammadreza Salehi", "Michael Dorkenwald", "Fida Mohammad Thoker", @@ -23276,36 +19596,32 @@ "Cees Snoek", "Yuki M Asano" ], - "title":"SIGMA: Sinkhorn-Guided Masked Video Modeling", - "id":"main", - "arxiv_id":"2407.15447", - "GitHub":[ + "title": "SIGMA: Sinkhorn-Guided Masked Video Modeling", + "id": "main", + "arxiv_id": "2407.15447", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.15447", - "n_linked_authors":2, - "upvotes":6, - "num_comments":2, - "n_authors":6, - "Models":[ - "SMSD75\/SIGMA" - ], - "Datasets":[ - + "paper_page": "https://huggingface.co/papers/2407.15447", + "n_linked_authors": 2, + "upvotes": 6, + "num_comments": 2, + "n_authors": 6, + "Models": [ + "SMSD75/SIGMA" ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":633 + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 633 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3510_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3510_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Basile Van Hoorick", "Rundi Wu", "Ege Ozguroglu", @@ -23316,36 +19632,30 @@ "Changxi Zheng", "Carl Vondrick" ], - 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"title":"Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images", - "id":"main", - "arxiv_id":"2407.09694", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":636 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3523_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images", + "id": "main", + "arxiv_id": "2407.09694", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 636 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3523_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Rahul Venkatesh", "Honglin Chen", "Kevin Feigelis", @@ -23439,70 +19737,58 @@ "Judith E. Fan", "Daniel Yamins" ], - "title":"Understanding Physical Dynamics with Counterfactual World Modeling", - "id":"main", - "arxiv_id":"2312.06721", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.06721", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":12, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":637 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3525_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Understanding Physical Dynamics with Counterfactual World Modeling", + "id": "main", + "arxiv_id": "2312.06721", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.06721", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 12, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 637 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3525_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Aggelina Chatziagapi", "Grigorios Chrysos", "Dimitris Samaras" ], - "title":"MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition", - "id":"main", - "arxiv_id":"2407.07284", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.07284", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":638 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3536_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition", + "id": "main", + "arxiv_id": "2407.07284", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.07284", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 638 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3536_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Feng Cheng", "Mi Luo", "Huiyu Wang", @@ -23511,72 +19797,60 @@ "Gedas Bertasius", "Kristen Grauman" ], - "title":"4Diff: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":639 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3537_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "4Diff: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 639 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3537_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "I-HSIANG CHEN", "Wei-Ting Chen", "Yu-Wei Liu", "Ming-Hsuan Yang", "Sy-Yen Kuo" ], - "title":"Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance", - "id":"main", - "arxiv_id":"2405.10589", - "GitHub":[ - "https:\/\/github.com\/AaronCIH\/APGCC" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":640 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3541_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance", + "id": "main", + "arxiv_id": "2405.10589", + "GitHub": [ + "https://github.com/AaronCIH/APGCC" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 640 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3541_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Lingni Ma", "Yuting Ye", "Rowan Postyeni", @@ -23595,36 +19869,30 @@ "Renzo De Nardi", "Richard Newcombe" ], - "title":"Nymeria: A Massive Collection of Egocentric Multi-modal Human Motion in the Wild", - "id":"main", - "arxiv_id":"2406.09905", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2406.09905", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":17, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":641 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3543_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Nymeria: A Massive Collection of Egocentric Multi-modal Human Motion in the Wild", + "id": "main", + "arxiv_id": "2406.09905", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2406.09905", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 17, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 641 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3543_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yi-Hao Peng", "Faria Huq", "Yue Jiang", @@ -23633,36 +19901,30 @@ "Jeffrey Bigham", "Amy Pavel" ], - "title":"DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":642 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3555_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 642 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3555_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Pengfei Wang", "Xiaofei Hui", "Jing Wu", @@ -23677,72 +19939,60 @@ "Minhoe Hur", "Jun Liu" ], - 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"title":"VideoMamba: Spatio-Temporal Selective State Space Model", - "id":"main", - "arxiv_id":"2407.08476", - "GitHub":[ - "https:\/\/github.com\/jinyjelly\/videomamba" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.08476", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":644 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3566_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "VideoMamba: Spatio-Temporal Selective State Space Model", + "id": "main", + "arxiv_id": "2407.08476", + "GitHub": [ + "https://github.com/jinyjelly/videomamba" + ], + "paper_page": "https://huggingface.co/papers/2407.08476", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 644 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3566_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Junting Dong", "Qi Fang", "Zehuan Huang", @@ -23751,72 +20001,60 @@ "Sida Peng", "Bo Dai" ], - 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Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data", + "id": "main", + "arxiv_id": "2407.15383", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 648 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3580_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiarui Hu", "Xianhao Chen", "Boyin Feng", @@ -23903,36 +20129,30 @@ "Guofeng Zhang", "Zhaopeng Cui" ], - "title":"CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field", - "id":"main", - "arxiv_id":"2403.16095", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - 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"title":"Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":656 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3633_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 656 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3633_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Lingzhe Zhao", "Peng Wang", "Peidong Liu" ], - "title":"BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting", - "id":"main", - "arxiv_id":"2403.11831", - "GitHub":[ - "https:\/\/github.com\/WU-CVGL\/BAD-Gaussians" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.11831", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":657 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3638_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting", + "id": "main", + "arxiv_id": "2403.11831", + "GitHub": [ + "https://github.com/WU-CVGL/BAD-Gaussians" + ], + "paper_page": "https://huggingface.co/papers/2403.11831", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 657 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3638_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Qi Sun", "Hang Zhou", "Wengang Zhou", "Li Li", "Houqiang Li" ], - 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"title":"DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation", - "id":"main", - "arxiv_id":"2404.06119", - "GitHub":[ - "https:\/\/github.com\/isee-laboratory\/dreamview" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":664 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3662_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation", + "id": "main", + "arxiv_id": "2404.06119", + "GitHub": [ + "https://github.com/isee-laboratory/dreamview" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 664 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3662_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hongyuan Wang", "Lizhi Wang", "Jiang Xu", @@ -24504,36 +20636,30 @@ "Fenglong Song", "Youliang Yan" ], - "title":"Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence", - "id":"main", - "arxiv_id":"2312.12833", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":665 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3669_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence", + "id": "main", + "arxiv_id": "2312.12833", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 665 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3669_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Peng Jin", "Hao Li", "Zesen Cheng", @@ -24544,71 +20670,59 @@ "Li Yuan", "Jie Chen" ], - 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"title":"EAFormer: Scene Text Segmentation with Edge-Aware Transformers", - "id":"main", - "arxiv_id":"2407.17020", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":667 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3682_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "EAFormer: Scene Text Segmentation with Edge-Aware Transformers", + "id": "main", + "arxiv_id": "2407.17020", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 667 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3682_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zicong Fan", "Takehiko Ohkawa", "Linlin Yang", @@ -24634,36 +20748,30 @@ "Hyung Jin Chang", "Angela Yao" ], - 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"title":"DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":669 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3696_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 669 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3696_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ruida Zhang", "Ziqin Huang", "Gu Wang", @@ -24711,36 +20813,30 @@ "Jiwen Tang", "Xiangyang Ji" ], - "title":"LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":670 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3697_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 670 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3697_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiehui Wu", "Jiansheng Chen", "Qifeng Luo", @@ -24748,36 +20844,30 @@ "Youze Xue", "Huimin Ma" ], - "title":"Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":671 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3698_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 671 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3698_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yansheng Li", "Tingzhu Wang", "Kang Wu", @@ -24785,36 +20875,30 @@ "Xin Guo", "Wenbin Wang" ], - "title":"Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction", - "id":"main", - "arxiv_id":"2407.19259", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":672 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3700_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction", + "id": "main", + "arxiv_id": "2407.19259", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 672 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3700_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yifei Zhang", "Mengfei Xia", "Yujun Shen", @@ -24825,36 +20909,30 @@ "Yu Liu", "Fan Cheng" ], - 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"title":"Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models", - "id":"main", - "arxiv_id":"2403.09296", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":683 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3773_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models", + "id": "main", + "arxiv_id": "2403.09296", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 683 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3773_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Kunchang Li", "Xinhao Li", "Yi Wang", @@ -25229,38 +21247,36 @@ "Limin Wang", "Yu Qiao" ], - 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"title":"SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging", - "id":"main", - "arxiv_id":"2407.16308", - "GitHub":[ - "https:\/\/github.com\/ltkong218\/safnet" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":685 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3785_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging", + "id": "main", + "arxiv_id": "2407.16308", + "GitHub": [ + "https://github.com/ltkong218/safnet" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 685 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3785_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yanni Ma", "Hao Liu", "Yun Pei", "Yulan Guo" ], - "title":"Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":686 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3786_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 686 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3786_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ming Nie", "Renyuan Peng", "Chunwei Wang", @@ -25341,36 +21345,30 @@ "Hang Xu", "Li Zhang" ], - 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Jones", "Vishal M. Patel" ], - "title":"Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection", - "id":"main", - "arxiv_id":"2404.11737", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":697 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3832_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection", + "id": "main", + "arxiv_id": "2404.11737", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 697 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3832_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Siyuan Li", "Lei Ke", "Yung-Hsu Yang", @@ -25743,176 +21683,146 @@ "Martin Danelljan", "Luc Van Gool" ], - "title":"SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":698 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3843_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 698 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3843_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Antonio Martinez-Sanchez", "Ulrike Homberg", "J. 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"title":"Learning Representations of Satellite Images From Metadata Supervision", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":701 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3857_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learning Representations of Satellite Images From Metadata Supervision", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 701 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3857_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Gwangtak Bae", "Changwoon Choi", "Hyeongjun Heo", "Sang Min Kim", "Young Min Kim" ], - "title":"I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM", - "id":"main", - "arxiv_id":"2407.11347", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":702 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3874_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM", + "id": "main", + "arxiv_id": "2407.11347", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 702 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3874_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Kangle Deng", "Timothy Omernick", "Alexander B Weiss", @@ -25921,71 +21831,59 @@ "Tinghui Zhou", "Maneesh Agrawala" ], - 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"title":"GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence", - "id":"main", - "arxiv_id":"2311.13777", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":704 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3880_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence", + "id": "main", + "arxiv_id": "2311.13777", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 704 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3880_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "William Yicheng Zhu", "Keren Ye", "Junjie Ke", @@ -25994,36 +21892,30 @@ "Peyman Milanfar", "Feng Yang" ], - "title":"ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling", - "id":"main", - "arxiv_id":"2408.04102", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":705 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3887_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling", + "id": "main", + "arxiv_id": "2408.04102", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 705 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3887_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Aoming Liu", "Zhong Li", "Zhang Chen", @@ -26031,72 +21923,60 @@ "Yi Xu", "Bryan Plummer" ], - "title":"PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance", - "id":"main", - "arxiv_id":"2408.02157", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":706 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3895_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance", + "id": "main", + "arxiv_id": "2408.02157", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 706 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3895_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Christian Wilms", "Tim Rolff", "Maris N Hillemann", "Robert Johanson", "Simone Frintrop" ], - "title":"SOS: Segment Object System for Open-World Instance Segmentation With Object Priors", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":707 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3896_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SOS: Segment Object System for Open-World Instance Segmentation With Object Priors", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 707 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3896_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shrisudhan Govindarajan", "Zeno Sambugaro", "Akhmedkhan Shabanov", @@ -26107,36 +21987,30 @@ "Kwang Moo Yi", "Andrea Tagliasacchi" ], - "title":"Lagrangian Hashing for Compressed Neural Field Representations", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":708 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3905_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Lagrangian Hashing for Compressed Neural Field Representations", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 708 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3905_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Bin Jiang", "Bo Xiong", "Bohan Qu", @@ -26144,36 +22018,30 @@ "You Zhou", "Zhan Ma" ], - "title":"EDformer: Transformer-Based Event Denoising Across Varied Noise Levels", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":709 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3908_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "EDformer: Transformer-Based Event Denoising Across Varied Noise Levels", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 709 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3908_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Mengmeng Sheng", "Zeren Sun", "Tao Chen", @@ -26181,36 +22049,30 @@ "yucheng wang", "Yazhou Yao" ], - 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"title":"Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":712 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3918_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 712 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3918_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shizhou Zhang", "Wenlong Luo", "De Cheng", @@ -26291,36 +22141,30 @@ "Yinghui Xing", "Yanning Zhang" ], - "title":"Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach", - "id":"main", - "arxiv_id":"2408.07500", - "GitHub":[ - "https:\/\/github.com\/fhr-l\/g2a-vreid" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2408.07500", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":713 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3925_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach", + "id": "main", + "arxiv_id": "2408.07500", + "GitHub": [ + "https://github.com/fhr-l/g2a-vreid" + ], + "paper_page": "https://huggingface.co/papers/2408.07500", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 713 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3925_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhongyi Shui", "Yunlong Zhang", "Kai Yao", @@ -26332,102 +22176,84 @@ "Ruizhe Guo", "Lin Yang" ], - "title":"Unleashing the Power of Prompt-driven Nucleus Instance Segmentation", - "id":"main", - "arxiv_id":"2311.15939", - "GitHub":[ - "https:\/\/github.com\/windygoo\/promptnucseg" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2311.15939", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":10, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":714 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3933_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Unleashing the Power of Prompt-driven Nucleus Instance Segmentation", + "id": "main", + "arxiv_id": "2311.15939", + "GitHub": [ + "https://github.com/windygoo/promptnucseg" + ], + "paper_page": "https://huggingface.co/papers/2311.15939", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 10, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 714 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3933_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yaokun Yang", "Feng Lu" ], - "title":"Gaze Target Detection Based on Head-Local-Global Coordination", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":715 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3937_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Gaze Target Detection Based on Head-Local-Global Coordination", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 715 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3937_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Po Han Chen", "Chia-Chi Tsai" ], - "title":"3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":716 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3942_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 716 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3942_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Qiaoqiao Jin", "Xuanhong Chen", "Meiguang Jin", @@ -26437,36 +22263,30 @@ "Yupeng Zhu", "Bingbing Ni" ], - "title":"Toward Tiny and High-quality Facial Makeup with Data Amplify Learning", - "id":"main", - "arxiv_id":"2403.15033", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":717 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3946_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Toward Tiny and High-quality Facial Makeup with Data Amplify Learning", + "id": "main", + "arxiv_id": "2403.15033", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 717 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3946_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xiao-Ming Wu", "Jia-Feng Cai", "Jian-Jian Jiang", @@ -26474,72 +22294,60 @@ "Yi-Lin Wei", "Wei-Shi Zheng" ], - 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"title":"GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction", - "id":"main", - "arxiv_id":"2405.17429", - "GitHub":[ - "https:\/\/github.com\/huang-yh\/gaussianformer" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":719 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/3967_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction", + "id": "main", + "arxiv_id": "2405.17429", + "GitHub": [ + "https://github.com/huang-yh/gaussianformer" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 719 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/3967_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Fanyue Wei", "Wei Zeng", "Zhenyang Li", @@ -26547,108 +22355,90 @@ "Lixin Duan", "Wen Li" ], - 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"title":"Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":726 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4012_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 726 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4012_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zicheng Wang", "Zhen Zhao", "Yiming Wu", "Luping Zhou", "Dong Xu" ], - 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"title":"Rectify the Regression Bias in Long-Tailed Object Detection", - "id":"main", - "arxiv_id":"2401.15885", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":736 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4070_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Rectify the Regression Bias in Long-Tailed Object Detection", + "id": "main", + "arxiv_id": "2401.15885", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 736 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4070_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Fan Li", "Zixiao Zhang", "Yi Huang", @@ -27166,36 +22872,30 @@ "Bin Shao", "Songcen Xu" ], - "title":"MagicEraser: Erasing Any Objects via Semantics-Aware Control", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":737 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4076_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MagicEraser: Erasing Any Objects via Semantics-Aware Control", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 737 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4076_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Haozhi Cao", "Yuecong Xu", "Jianfei Yang", @@ -27204,70 +22904,58 @@ "Shenghai Yuan", "Lihua Xie" ], - "title":"Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation", - "id":"main", - "arxiv_id":"2403.06461", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":738 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4077_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation", + "id": "main", + "arxiv_id": "2403.06461", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 738 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4077_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hanting Li", "Hongjing Niu", "Feng Zhao" ], - "title":"Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":739 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4088_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 739 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4088_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jintu Zheng", "Yi Ding", "Qizhe Liu", @@ -27276,36 +22964,30 @@ "Ying Hu", "Zenan Wang" ], - 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"title":"Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities", - "id":"main", - "arxiv_id":"2403.04908", - "GitHub":[ - "https:\/\/github.com\/ramdrop\/edgevl" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.04908", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":742 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4096_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities", + "id": "main", + "arxiv_id": "2403.04908", + "GitHub": [ + "https://github.com/ramdrop/edgevl" + ], + "paper_page": "https://huggingface.co/papers/2403.04908", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 742 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4096_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhengbo Zhang", "Li Xu", "Duo Peng", "Hossein Rahmani", "Jun Liu" ], - "title":"Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers", - "id":"main", - "arxiv_id":"2407.08394", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":743 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4104_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers", + "id": "main", + "arxiv_id": "2407.08394", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 743 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4104_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hai Ci", "Pei Yang", "Yiren Song", "Mike Zheng Shou" ], - "title":"Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification", - "id":"main", - "arxiv_id":"2404.14055", - "GitHub":[ - "https:\/\/github.com\/showlab\/ringid" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":744 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4105_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification", + "id": "main", + "arxiv_id": "2404.14055", + "GitHub": [ + "https://github.com/showlab/ringid" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 744 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4105_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhihao Sun", "Ziwei Wang", "Hongmin Liu", @@ -27457,36 +23115,30 @@ "Jiwen Lu", "Xiuwei Xu" ], - "title":"3D Small Object Detection with Dynamic Spatial Pruning", - "id":"main", - "arxiv_id":"2305.03716", - "GitHub":[ - "https:\/\/github.com\/xuxw98\/dspdet3d" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":745 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4106_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "3D Small Object Detection with Dynamic Spatial Pruning", + "id": "main", + "arxiv_id": "2305.03716", + "GitHub": [ + "https://github.com/xuxw98/dspdet3d" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 745 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4106_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hao Cheng", "SIYUAN YANG", "Chong Wang", @@ -27494,105 +23146,89 @@ "Alex Kot", "Bihan Wen" ], - "title":"STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":746 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4117_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 746 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4117_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xuelong Dai", "Bin Xiao" ], - 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"title":"FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions", - "id":"main", - "arxiv_id":"2407.13437", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":752 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4147_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions", + "id": "main", + "arxiv_id": "2407.13437", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 752 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4147_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Federico Nocentini", "Thomas Besnier", "Claudio Ferrari", @@ -27746,36 +23358,30 @@ "Stefano Berretti", "Mohamed Daoudi" ], - 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"title":"Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":758 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4179_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 758 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4179_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yiming Ren", "Xiao Han", "Yichen Yao", @@ -27967,107 +23545,89 @@ "Yujing Sun", "Yuexin Ma" ], - 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"title":"You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation", - "id":"main", - "arxiv_id":"2401.17258", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2401.17258", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":760 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4195_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation", + "id": "main", + "arxiv_id": "2401.17258", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2401.17258", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 760 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4195_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Mingqiao Ye", "Martin Danelljan", "Fisher Yu", "Lei Ke" ], - "title":"Gaussian Grouping: Segment and Edit Anything in 3D Scenes", - "id":"main", - "arxiv_id":"2312.00732", - "GitHub":[ - "https:\/\/github.com\/lkeab\/gaussian-grouping" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.00732", - "n_linked_authors":0, - "upvotes":2, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":761 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4203_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Gaussian Grouping: Segment and Edit Anything in 3D Scenes", + "id": "main", + "arxiv_id": "2312.00732", + "GitHub": [ + "https://github.com/lkeab/gaussian-grouping" + ], + "paper_page": "https://huggingface.co/papers/2312.00732", + "n_linked_authors": 0, + "upvotes": 2, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 761 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4203_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yiming Huang", "Weilin Wan", "Yue Yang", @@ -28075,36 +23635,30 @@ "Mark Yatskar", "Lingjie Liu" ], - 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"title":"Towards Model-Agnostic Dataset Condensation by Heterogeneous Models", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":765 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4213_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Towards Model-Agnostic Dataset Condensation by Heterogeneous Models", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 765 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4213_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Kirolos Ataallah", "Xiaoqian shen", "Eslam mohamed abdelrahman", @@ -28226,71 +23762,65 @@ "J\u00fcrgen Schmidhuber", "Mohamed Elhoseiny" ], - 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Kooij" ], - "title":"Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth", - "id":"main", - "arxiv_id":"2406.00474", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":828 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4596_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth", + "id": "main", + "arxiv_id": "2406.00474", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 828 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4596_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Wenpu Li", "Pian Wan", "Peng Wang", @@ -30533,106 +25715,88 @@ "Yi Zhou", "Peidong Liu" ], - 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"title":"Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":830 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4603_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 830 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4603_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hajin Shim", "Changhun Kim", "Eunho Yang" ], - "title":"CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation", - "id":"main", - "arxiv_id":"2407.16193", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":831 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4605_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation", + "id": "main", + "arxiv_id": "2407.16193", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 831 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4605_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yunpeng Bai", "Xintao Wang", "Yan-Pei Cao", @@ -30640,36 +25804,30 @@ "Chun Yuan", "Ying Shan" ], - 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"title":"SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection", - "id":"main", - "arxiv_id":"2407.02665", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.02665", - "n_linked_authors":2, - "upvotes":6, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":852 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4746_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection", + "id": "main", + "arxiv_id": "2407.02665", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.02665", + "n_linked_authors": 2, + "upvotes": 6, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 852 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4746_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yixuan Ren", "Yang Zhou", "Jimei Yang", @@ -31417,69 +26461,57 @@ "Mingi Kwon", "Abhinav Shrivastava" ], - 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"title":"S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":854 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4761_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 854 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4761_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Minh-Quan Le", "Alexandros Graikos", "Srikar Yellapragada", @@ -31487,36 +26519,30 @@ "Joel Saltz", "Dimitris Samaras" ], - 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"title":"Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":857 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4780_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 857 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4780_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ioannis Maniadis Metaxas", "Georgios Tzimiropoulos", "Ioannis Patras" ], - 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"title":"ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation", - "id":"main", - "arxiv_id":"2402.15429", - "GitHub":[ - "https:\/\/github.com\/wellzline\/protip" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":859 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4784_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation", + "id": "main", + "arxiv_id": "2402.15429", + "GitHub": [ + "https://github.com/wellzline/protip" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 859 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4784_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Akshay Paruchuri", "Samuel Ehrenstein", "Shuxian Wang", @@ -31673,72 +26675,60 @@ "Marc Niethammer", "Roni Sengupta" ], - "title":"Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos", - "id":"main", - "arxiv_id":"2403.17915", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":860 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4787_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos", + "id": "main", + "arxiv_id": "2403.17915", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 860 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4787_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "jingyang xiang", "Zuohui Chen", "Siqi Li", "Qing Wu", "Yong Liu" ], - "title":"OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks", - "id":"main", - "arxiv_id":"2407.05257", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":861 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4788_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks", + "id": "main", + "arxiv_id": "2407.05257", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 861 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4788_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Guillaume Jaume", "Anurag J Vaidya", "Andrew Zhang", @@ -31750,36 +26740,30 @@ "Long P Le", "Faisal Mahmood" ], - "title":"Multistain Pretraining for Slide Representation Learning in Pathology", - "id":"main", - "arxiv_id":"2408.02859", - "GitHub":[ - "https:\/\/github.com\/mahmoodlab\/madeleine" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2408.02859", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":10, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":862 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4804_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Multistain Pretraining for Slide Representation Learning in Pathology", + "id": "main", + "arxiv_id": "2408.02859", + "GitHub": [ + "https://github.com/mahmoodlab/madeleine" + ], + "paper_page": "https://huggingface.co/papers/2408.02859", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 10, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 862 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4804_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Qing Jiang", "Feng Li", "Zhaoyang Zeng", @@ -31787,142 +26771,118 @@ "Tianhe Ren", "Lei Zhang" ], - "title":"T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy", - "id":"main", - "arxiv_id":"2403.14610", - "GitHub":[ - "https:\/\/github.com\/idea-research\/t-rex" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.14610", - "n_linked_authors":1, - "upvotes":3, - "num_comments":2, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":863 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4805_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy", + "id": "main", + "arxiv_id": "2403.14610", + "GitHub": [ + "https://github.com/idea-research/t-rex" + ], + "paper_page": "https://huggingface.co/papers/2403.14610", + "n_linked_authors": 1, + "upvotes": 3, + "num_comments": 2, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 863 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4805_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "yaomin huang", "Faming Fang", "Zaoming Yan", "Chaomin Shen", "Guixu Zhang" ], - "title":"Harmonizing knowledge Transfer in Neural Network with Unified Distillation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":864 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4811_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Harmonizing knowledge Transfer in Neural Network with Unified Distillation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 864 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4811_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shufan Li", "Aditya Grover", "Harkanwar Singh" ], - 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"title":"Click Prompt Learning with Optimal Transport for Interactive Segmentation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":866 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/4820_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Click Prompt Learning with Optimal Transport for Interactive Segmentation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 866 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/4820_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Kaili Zheng", "Feixiang Lu", "Yihao Lv", @@ -31930,172 +26890,142 @@ "Chenyi Guo", "Ji Wu" ], - 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Wong", "Hengshuang Zhao" ], - "title":"InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping", - "id":"main", - "arxiv_id":"2308.08543", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":904 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5033_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping", + "id": "main", + "arxiv_id": "2308.08543", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 904 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5033_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xianwei Zhuang", "Hongxiang Li", "Xuxin Cheng", @@ -33312,107 +28046,89 @@ "Yuxin Xie", "Yuexian Zou" ], - 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"title":"RGBD GS-ICP SLAM", - "id":"main", - "arxiv_id":"2403.12550", - "GitHub":[ - "https:\/\/github.com\/lab-of-ai-and-robotics\/gs_icp_slam" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":951 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5300_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "RGBD GS-ICP SLAM", + "id": "main", + "arxiv_id": "2403.12550", + "GitHub": [ + "https://github.com/lab-of-ai-and-robotics/gs_icp_slam" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 951 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5300_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Juuso Korhonen", "Goutham Rangu", "Hamed Rezazadegan Tavakoli", "Juho Kannala" ], - 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"title":"A Probability-guided Sampler for Neural Implicit Surface Rendering", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":977 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5411_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "A Probability-guided Sampler for Neural Implicit Surface Rendering", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 977 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5411_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Filippo Maggioli", "Daniele Baieri", "Emanuele Rodola", "Simone Melzi" ], - "title":"ReMatching: Low-Resolution Representations for Scalable Shape Correspondence", - "id":"main", - "arxiv_id":"2305.09274", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":978 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5418_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ReMatching: Low-Resolution Representations for Scalable Shape Correspondence", + "id": "main", + "arxiv_id": "2305.09274", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 978 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5418_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiaqi Chen", "Daniel Barath", "Iro Armeni", "Marc Pollefeys", "Hermann Blum" ], - 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"title":"MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models", - "id":"main", - "arxiv_id":"2404.09977", - "GitHub":[ - "https:\/\/github.com\/Nithin-GK\/MaxFusion", - "https:\/\/nithin-gk.github.io\/maxfusion.github.io\/" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.09977", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1000 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5512_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models", + "id": "main", + "arxiv_id": "2404.09977", + "GitHub": [ + "https://github.com/Nithin-GK/MaxFusion", + "https://nithin-gk.github.io/maxfusion.github.io/" + ], + "paper_page": "https://huggingface.co/papers/2404.09977", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1000 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5512_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ashkan Mirzaei", "Tristan T Aumentado-Armstrong", "Marcus A Brubaker", @@ -36853,69 +31027,57 @@ "Konstantinos G Derpanis", "Igor Gilitschenski" ], - "title":"Watch Your Steps: Local Image and Scene Editing by Text Instructions", - "id":"main", - "arxiv_id":"2308.08947", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2308.08947", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":1001 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5513_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Watch Your Steps: Local Image and Scene Editing by Text Instructions", + "id": "main", + "arxiv_id": "2308.08947", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2308.08947", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 1001 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5513_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hritam Basak", "Zhaozheng Yin" ], - "title":"Forget More to Learn More: Domain-specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1002 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5514_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Forget More to Learn More: Domain-specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1002 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5514_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Anh Thai", "Weiyao Wang", "Hao Tang", @@ -36923,36 +31085,30 @@ "James M Rehg", "Matt Feiszli" ], - 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"title":"Idea2Img: Iterative Self-Refinement with GPT-4V for Automatic Image Design and Generation", - "id":"main", - "arxiv_id":"2310.08541", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2310.08541", - "n_linked_authors":6, - "upvotes":17, - "num_comments":6, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1004 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5518_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Idea2Img: Iterative Self-Refinement with GPT-4V for Automatic Image Design and Generation", + "id": "main", + "arxiv_id": "2310.08541", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2310.08541", + "n_linked_authors": 6, + "upvotes": 17, + "num_comments": 6, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1004 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5518_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Gustavo Perez", "Daniel Sheldon", "Grant Van Horn", "Subhransu Maji" ], - "title":"Human-in-the-Loop Visual Re-ID for Population Size Estimation", - "id":"main", - "arxiv_id":"2312.05287", - "GitHub":[ - "https:\/\/github.com\/cvl-umass\/counting-clusters" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1005 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5519_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Human-in-the-Loop Visual Re-ID for Population Size Estimation", + "id": "main", + "arxiv_id": "2312.05287", + "GitHub": [ + "https://github.com/cvl-umass/counting-clusters" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1005 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5519_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Lingchen Meng", "Shiyi Lan", "Hengduo Li", @@ -37033,36 +31177,30 @@ "Zuxuan Wu", "Yu-Gang Jiang" ], - "title":"SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation", - "id":"main", - "arxiv_id":"2311.14671", - "GitHub":[ - "https:\/\/github.com\/menglcool\/segic" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2311.14671", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1006 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5521_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation", + "id": "main", + "arxiv_id": "2311.14671", + "GitHub": [ + "https://github.com/menglcool/segic" + ], + "paper_page": "https://huggingface.co/papers/2311.14671", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1006 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5521_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Weiwei Sun", "Eduard Trulls", "Yang-Che Tseng", @@ -37071,36 +31209,30 @@ "Andrea Tagliasacchi", "Kwang Moo Yi" ], - "title":"PointNeRF++: A multi-scale, point-based Neural Radiance Field", - "id":"main", - "arxiv_id":"2312.02362", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1007 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5527_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "PointNeRF++: A multi-scale, point-based Neural Radiance Field", + "id": "main", + "arxiv_id": "2312.02362", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1007 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5527_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Junfei Xiao", "Ziqi Zhou", "Wenxuan Li", @@ -37112,36 +31244,30 @@ "Yuyin Zhou", "Cihang Xie" ], - "title":"A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties", - "id":"main", - "arxiv_id":"2312.13764", - "GitHub":[ - "https:\/\/github.com\/lambert-x\/prolab" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1008 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5528_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties", + "id": "main", + "arxiv_id": "2312.13764", + "GitHub": [ + "https://github.com/lambert-x/prolab" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1008 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5528_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Bowen Shi", "Peisen Zhao", "Zichen Wang", @@ -37154,36 +31280,30 @@ "Qi Tian", "Xiaopeng Zhang" ], - "title":"UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding", - "id":"main", - "arxiv_id":"2401.06397", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2401.06397", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":11, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1009 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5533_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding", + "id": "main", + "arxiv_id": "2401.06397", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2401.06397", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 11, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1009 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5533_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yao-Chih Lee", "Zhoutong Zhang", "Kevin Blackburn-Matzen", @@ -37192,106 +31312,88 @@ "Jia-Bin Huang", "Feng Liu" ], - "title":"Fast View Synthesis of Casual Videos with Soup-of-Planes", - "id":"main", - "arxiv_id":"2312.02135", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.02135", - "n_linked_authors":3, - "upvotes":8, - "num_comments":1, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1010 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5542_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Fast View Synthesis of Casual Videos with Soup-of-Planes", + "id": "main", + "arxiv_id": "2312.02135", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.02135", + "n_linked_authors": 3, + "upvotes": 8, + "num_comments": 1, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1010 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5542_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Neerja Thakkar", "Karttikeya Mangalam", "Andrea Bajcsy", "Jitendra Malik" ], - "title":"Adaptive Human Trajectory Prediction via Latent Corridors", - "id":"main", - "arxiv_id":"2312.06653", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.06653", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1011 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5543_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Adaptive Human Trajectory Prediction via Latent Corridors", + "id": "main", + "arxiv_id": "2312.06653", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.06653", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1011 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5543_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Rohan Choudhury", "Koichiro Niinuma", "Kris Kitani", "Laszlo A Jeni" ], - "title":"Video Question Answering with Procedural Programs", - "id":"main", - "arxiv_id":"2312.00937", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1012 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5548_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Video Question Answering with Procedural Programs", + "id": "main", + "arxiv_id": "2312.00937", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1012 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5548_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Wenhui Zhu", "Xiwen Chen", "Peijie Qiu", @@ -37299,36 +31401,30 @@ "Abolfazl Razi", "Yalin Wang" ], - 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"title":"Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1038 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5607_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1038 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5607_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Woobin Im", "Geonho Cha", "Sebin Lee", @@ -38241,36 +32187,30 @@ "Dongyoon Wee", "Sungeui Yoon" ], - 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"title":"Efficient Pre-training for Localized Instruction Generation of Procedural Videos", - "id":"main", - "arxiv_id":"2311.15964", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2311.15964", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1041 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5614_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Efficient Pre-training for Localized Instruction Generation of Procedural Videos", + "id": "main", + "arxiv_id": "2311.15964", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2311.15964", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1041 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5614_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yuxuan Jiang", "Chen Feng", "Fan Zhang", "David Bull" ], - 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"type":"Poster", - "unique_id":1121 + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1121 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5894_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5894_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Peiqi Jiao", "Yuecong Min", "Xilin Chen" ], - "title":"Visual Alignment Pre-training for Sign Language Translation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1122 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/5898_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Visual Alignment Pre-training for Sign Language Translation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1122 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/5898_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yiqi Lin", "Conghui He", "Alex Jinpeng Wang", @@ -41343,36 +34805,32 @@ "Weijia Li", "Mike Zheng Shou" ], - 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"title":"DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism", - "id":"main", - "arxiv_id":"2311.14920", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1150 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6006_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism", + "id": "main", + "arxiv_id": "2311.14920", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1150 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6006_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Qiao Gu", "Zhaoyang Lv", "Duncan Frost", @@ -42371,36 +35669,30 @@ "Julian Straub", "Chris Sweeney" ], - 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"title":"MEVG : Multi-event Video Generation with Text-to-Video Models", - "id":"main", - "arxiv_id":"2312.04086", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.04086", - "n_linked_authors":0, - "upvotes":1, - "num_comments":0, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1152 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6014_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MEVG : Multi-event Video Generation with Text-to-Video Models", + "id": "main", + "arxiv_id": "2312.04086", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.04086", + "n_linked_authors": 0, + "upvotes": 1, + "num_comments": 0, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1152 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6014_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Haobo Yuan", "Xiangtai Li", "Chong Zhou", @@ -42446,36 +35732,30 @@ "Kai Chen", "Chen Change Loy" ], - 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Liu", @@ -42483,36 +35763,30 @@ "Yuri A. Lawryshyn", "Konstantinos N. 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Localization via a Dynamic and Importance-aware Transformer Network", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1156 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6025_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yan Hong", "Yuxuan Duan", "Bo Zhang", @@ -42598,104 +35860,86 @@ "Weiqiang Wang", "Jianfu Zhang" ], - "title":"ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - 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Foundation Models", + "id": "main", + "arxiv_id": "2407.10131", + "GitHub": [ + "https://github.com/xjwu1024/WPS-SAM" + ], + "paper_page": "https://huggingface.co/papers/2407.10131", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 1174 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6068_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Bencheng Liao", "Shaoyu Chen", "Bo Jiang", @@ -43355,72 +36513,60 @@ "Chang Huang", "Xinggang Wang" ], - "title":"Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction", - "id":"main", - "arxiv_id":"2303.08815", - "GitHub":[ - "https:\/\/github.com\/hustvl\/lanegap" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], 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"abstract": "", + "authors": [ "Zizheng Yang", "Hu Yu", "Bing Li", @@ -43428,36 +36574,30 @@ "Jie Huang", "Feng Zhao" ], - "title":"Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1177 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6074_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + 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"proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6326_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation", + "id": "main", + "arxiv_id": "2403.19580", + "GitHub": [ + "https://github.com/zhenyuw16/uni3detr" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1241 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6326_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Haibo Jin", "Ruoxi Chen", "Jinyin Chen", @@ -45978,36 +38748,30 @@ "Yang Zhang", "Haohan Wang" ], - "title":"CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing", - "id":"main", - "arxiv_id":"2112.13064", - "GitHub":[ - "" - ], - "paper_page":"", - 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"proceedings": "papers/eccv_2024/papers_ECCV/html/6341_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shilong Liu", "Hao Cheng", "Haotian Liu", @@ -46060,40 +38818,38 @@ "Jianfeng Gao", "Chunyuan Li" ], - "title":"LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents", - "id":"main", - "arxiv_id":"2311.05437", - "GitHub":[ - "https:\/\/github.com\/LLaVA-VL\/LLaVA-Plus-Codebase" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2311.05437", - "n_linked_authors":8, - "upvotes":42, - "num_comments":4, - "n_authors":13, - "Models":[ - "Straive\/llava-1.5-13b-lora-100k-8-mar", - "saurabh-straive\/llava-1-5", - "GDinesh\/llava-1-5", - "starriver030515\/LLaVA", - "csuhan\/LLaVA_EF" - ], - "Datasets":[ - - ], - "Spaces":[ - "Aranya31\/ft_LLaVA-Med" - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1244 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6346_ECCV_2024_paper.php", - "bibtext":"", - 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"title":"GRAPE: Generalizable and Robust Multi-view Facial Capture", - "id":"main", - "arxiv_id":"2407.10193", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1259 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6399_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "GRAPE: Generalizable and Robust Multi-view Facial Capture", + "id": "main", + "arxiv_id": "2407.10193", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1259 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6399_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Wenyi Li", "Huan-ang Gao", "Mingju Gao", @@ -46635,36 +39311,30 @@ "Rong Zhi", "Hao Zhao" ], - 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"title":"Open-Vocabulary Camouflaged Object Segmentation", - "id":"main", - "arxiv_id":"2311.11241", - "GitHub":[ - "https:\/\/github.com\/lartpang\/ovcamo" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2311.11241", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1263 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6412_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Open-Vocabulary Camouflaged Object Segmentation", + "id": "main", + "arxiv_id": "2311.11241", + "GitHub": [ + "https://github.com/lartpang/ovcamo" + ], + "paper_page": "https://huggingface.co/papers/2311.11241", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1263 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6412_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xiaoyu Liu", "Yuxiang Wei", "Ming Liu", @@ -46781,36 +39433,30 @@ "xuansong xie", "Wangmeng Zuo" ], - "title":"SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions", - "id":"main", - "arxiv_id":"2404.06451", - "GitHub":[ - "https:\/\/github.com\/liuxiaoyu1104\/smartcontrol" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.06451", - "n_linked_authors":0, - "upvotes":2, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1264 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6414_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions", + "id": "main", + "arxiv_id": "2404.06451", + "GitHub": [ + "https://github.com/liuxiaoyu1104/smartcontrol" + ], + "paper_page": "https://huggingface.co/papers/2404.06451", + "n_linked_authors": 0, + "upvotes": 2, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1264 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6414_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Sisi Dai", "Wenhao Li", "Haowen Sun", @@ -46820,36 +39466,30 @@ "Kai Xu", "Ruizhen Hu" ], - "title":"InterFusion: Text-Driven Generation of 3D Human-Object Interaction", - "id":"main", - "arxiv_id":"2403.15612", - "GitHub":[ - "https:\/\/github.com\/sisidai\/InterFusion" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.15612", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1265 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6415_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "InterFusion: Text-Driven Generation of 3D Human-Object Interaction", + "id": "main", + "arxiv_id": "2403.15612", + "GitHub": [ + "https://github.com/sisidai/InterFusion" + ], + "paper_page": "https://huggingface.co/papers/2403.15612", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1265 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6415_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Han Zhou", "Wei Dong", "Xiaohong Liu", @@ -46858,36 +39498,30 @@ "Guangtao Zhai", "Jun Chen" ], - 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"title":"Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition", - "id":"main", - "arxiv_id":"2405.18012", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1268 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6424_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition", + "id": "main", + "arxiv_id": "2405.18012", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1268 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6424_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ruilong Li", "Sanja Fidler", "Angjoo Kanazawa", "Francis Williams" ], - 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"title":"The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?", - "id":"main", - "arxiv_id":"2403.09037", - "GitHub":[ - "https:\/\/github.com\/qinyu-allen-zhao\/lvlm-lp" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.09037", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1271 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6434_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?", + "id": "main", + "arxiv_id": "2403.09037", + "GitHub": [ + "https://github.com/qinyu-allen-zhao/lvlm-lp" + ], + "paper_page": "https://huggingface.co/papers/2403.09037", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1271 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6434_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Chuanhao Li", "Zhen Li", "Chenchen Jing", @@ -47076,107 +39680,89 @@ "Mingliang Zhai", "Yunde Jia" ], - 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Yoo" ], - "title":"DNI: Dilutional Noise Initialization for Diffusion Video Editing", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1274 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/6444_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "DNI: Dilutional Noise Initialization for Diffusion Video Editing", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1274 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/6444_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xin Duan", "Yu Cao", "Lei Zhu", @@ -47185,36 +39771,30 @@ "Renjie ZHANG", "Ping Li" ], - 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"title":"TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation", - "id":"main", - "arxiv_id":"2211.13220", - "GitHub":[ - "https:\/\/github.com\/PeterTor\/TetraDiffusion" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1419 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7011_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation", + "id": "main", + "arxiv_id": "2211.13220", + "GitHub": [ + "https://github.com/PeterTor/TetraDiffusion" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1419 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7011_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shunkun Liang", "Banglei Guan", "Zhenbao Yu", "Pengju Sun", "Yang Shang" ], - "title":"Camera Calibration using a Collimator System", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":1420 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7015_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Camera Calibration using a Collimator System", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 1420 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7015_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiayi Wang", "Kevin A Laube", "Yumeng Li", @@ -52564,72 +44300,60 @@ "Julio Borges", "Anna Khoreva" ], - "title":"Label-free Neural Semantic Image Synthesis", - "id":"main", - "arxiv_id":"2407.01790", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.01790", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1421 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7022_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Label-free Neural Semantic Image Synthesis", + "id": "main", + "arxiv_id": "2407.01790", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.01790", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1421 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7022_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yuwen Pan", "Rui Sun", "Naisong Luo", "Tianzhu Zhang", "Yongdong Zhang" ], - "title":"Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation", - "id":"main", - "arxiv_id":"2408.13838", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1422 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7025_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation", + "id": "main", + "arxiv_id": "2408.13838", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1422 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7025_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiaqi He", "Zhihua Wang", "Leon Wang", @@ -52638,72 +44362,60 @@ "Qilin Sun", "Kede Ma" ], - 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Chan" ], - "title":"Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1479 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7249_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1479 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7249_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Nina Shvetsova", "Anna Kukleva", "Xudong Hong", @@ -54751,108 +46139,90 @@ "Bernt Schiele", "Hilde Kuehne" ], - 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"title":"Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1482 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7257_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1482 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7257_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hasan Abed Al Kader Hammoud", "Tuhin Das", "Fabio Pizzati", @@ -54860,106 +46230,88 @@ "Adel Bibi", "Bernard Ghanem" ], - "title":"On Pretraining Data Diversity for Self-Supervised Learning", - "id":"main", - "arxiv_id":"2403.13808", - "GitHub":[ - "https:\/\/github.com\/hammoudhasan\/diversityssl" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1483 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7259_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "On Pretraining Data Diversity for Self-Supervised Learning", + "id": "main", + "arxiv_id": "2403.13808", + "GitHub": [ + "https://github.com/hammoudhasan/diversityssl" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1483 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7259_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Gianluca Scarpellini", "Stefano Rosa", "Pietro Morerio", "Lorenzo Natale", "Alessio Del Bue" ], - "title":"Look Around and Learn: Self-Training Object Detection by Exploration", - "id":"main", - "arxiv_id":"2302.03566", - "GitHub":[ - "https:\/\/github.com\/iit-pavis\/look_around_and_learn" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1484 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7260_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Look Around and Learn: Self-Training Object Detection by Exploration", + "id": "main", + "arxiv_id": "2302.03566", + "GitHub": [ + "https://github.com/iit-pavis/look_around_and_learn" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1484 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7260_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ozan Unal", "Christos Sakaridis", "Luc Van Gool" ], - "title":"Bayesian Self-Training for Semi-Supervised 3D Segmentation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1485 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7261_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Bayesian Self-Training for Semi-Supervised 3D Segmentation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1485 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7261_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhongyang Ren", "Bangyan Liao", "Delei Kong", @@ -54969,36 +46321,30 @@ "Guillermo Gallego", "Yi Zhou" ], - "title":"Motion and Structure from Event-based Normal Flow", - "id":"main", - "arxiv_id":"2407.12239", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1486 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7265_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Motion and Structure from Event-based Normal Flow", + "id": "main", + "arxiv_id": "2407.12239", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1486 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7265_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Qiran Zou", "Shangyuan Yuan", "Shian Du", @@ -55008,36 +46354,30 @@ "Jie Chen", "Xiangyang Ji" ], - "title":"ParCo: Part-Coordinating Text-to-Motion Synthesis", - "id":"main", - "arxiv_id":"2403.18512", - "GitHub":[ - "https:\/\/github.com\/qrzou\/parco" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1487 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7269_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ParCo: Part-Coordinating Text-to-Motion Synthesis", + "id": "main", + "arxiv_id": "2403.18512", + "GitHub": [ + "https://github.com/qrzou/parco" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1487 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7269_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zheng Zhang", "Wenjie Ai", "Kevin Wells", @@ -55045,108 +46385,90 @@ "Thanh-Toan Do", "Gustavo Carneiro" ], - "title":"Learning to Complement and to Defer to Multiple Users", - "id":"main", - "arxiv_id":"2407.07003", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1488 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7282_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learning to Complement and to Defer to Multiple Users", + "id": "main", + "arxiv_id": "2407.07003", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1488 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7282_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Qingyuan Wang", "Barry Cardiff", "Antoine Frapp\u00e9", "Benoit Larras", "Deepu John" ], - "title":"Tiny Models are the Computational Saver for Large Models", - "id":"main", - "arxiv_id":"2403.17726", - "GitHub":[ - "https:\/\/github.com\/QingyuanWang\/tinysaver" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1489 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7284_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Tiny Models are the Computational Saver for Large Models", + "id": "main", + "arxiv_id": "2403.17726", + "GitHub": [ + "https://github.com/QingyuanWang/tinysaver" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1489 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7284_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yufan Deng", "Ruida WANG", "Yuhao ZHANG", "Yu-Wing Tai", "Chi-Keung Tang" ], - "title":"DragVideo: Interactive Drag-style Video Editing", - "id":"main", - "arxiv_id":"2312.02216", - "GitHub":[ - "https:\/\/github.com\/rickyskywalker\/dragvideo-official" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.02216", - "n_linked_authors":3, - "upvotes":10, - "num_comments":1, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1490 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7285_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "DragVideo: Interactive Drag-style Video Editing", + "id": "main", + "arxiv_id": "2312.02216", + "GitHub": [ + "https://github.com/rickyskywalker/dragvideo-official" + ], + "paper_page": "https://huggingface.co/papers/2312.02216", + "n_linked_authors": 3, + "upvotes": 10, + "num_comments": 1, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1490 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7285_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zeqian Li", "Qirui Chen", "Tengda Han", @@ -55154,36 +46476,34 @@ "Yan-Feng Wang", "Weidi Xie" ], - "title":"Multi-Sentence Grounding for Long-term Instructional Video", - "id":"main", - "arxiv_id":"2312.14055", - "GitHub":[ + "title": "Multi-Sentence Grounding for Long-term Instructional Video", + "id": "main", + "arxiv_id": "2312.14055", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.14055", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":6, - "Models":[ - "zeqianli\/HowToStep-NSVA" + "paper_page": "https://huggingface.co/papers/2312.14055", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 6, + "Models": [ + "zeqianli/HowToStep-NSVA" ], - "Datasets":[ - "zeqianli\/HowToStep" + "Datasets": [ + "zeqianli/HowToStep" ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1491 + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1491 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7293_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7293_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hmrishav Bandyopadhyay", "Pinaki Nath Chowdhury", "Aneeshan Sain", @@ -55192,36 +46512,30 @@ "Ayan Kumar Bhunia", "Yi-Zhe Song" ], - "title":"Do Generalised Classifiers really work on Human Drawn Sketches?", - "id":"main", - "arxiv_id":"2407.03893", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1492 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7316_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Do Generalised Classifiers really work on Human Drawn Sketches?", + "id": "main", + "arxiv_id": "2407.03893", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1492 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7316_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhihao Xu", "Shengjie Gong", "Jiapeng Tang", @@ -55230,36 +46544,30 @@ "Haojie Li", "Shuangping Huang" ], - "title":"KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "https:\/\/github.com\/ffxzh\/kmtalk" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1493 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7318_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "https://github.com/ffxzh/kmtalk" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1493 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7318_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yuxiao He", "Yiyu Zhuang", "Yanwen Wang", @@ -55270,36 +46578,30 @@ "Xun Cao", "Hao Zhu" ], - "title":"Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360\u00b0", - "id":"main", - "arxiv_id":"2408.00296", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1494 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7327_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360\u00b0", + "id": "main", + "arxiv_id": "2408.00296", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1494 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7327_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Rui Zhao", "Yuchao Gu", "Jay Zhangjie Wu", @@ -55309,75 +46611,65 @@ "Jussi Keppo", "Mike Zheng Shou" ], - 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"title":"Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval", - "id":"main", - "arxiv_id":"2407.01810", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.01810", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1515 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7430_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval", + "id": "main", + "arxiv_id": "2407.01810", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.01810", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1515 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7430_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yanting Yang", "Minghao Chen", "Qibo Qiu", @@ -56088,36 +47266,30 @@ "Ziyu Guan", "Xiaofei He" ], - 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Taylor", "Thomas B. Moeslund" ], - "title":"Agglomerative Token Clustering", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1518 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7443_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Agglomerative Token Clustering", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1518 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7443_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jinhao Deng", "Wei Ye", "Hai Wu", @@ -56201,36 +47361,30 @@ "Chenglu Wen", "Cheng Wang" ], - "title":"CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1519 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7445_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1519 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7445_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jianjie Luo", "Jingwen Chen", "Yehao Li", @@ -56239,71 +47393,59 @@ "Hongyang Chao", "Ting Yao" ], - "title":"Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1520 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7447_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1520 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7447_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tianhao Wu", "Chuanxia Zheng", "Qianyi Wu", "Tat-Jen Cham" ], - "title":"ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition", - "id":"main", - "arxiv_id":"2403.14619", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1521 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7448_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition", + "id": "main", + "arxiv_id": "2403.14619", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1521 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7448_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Chenyu Liu", "Jia Pan", "Jinshui Hu", @@ -56314,70 +47456,58 @@ "Jun Du", "Qingfeng Liu" ], - 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Black" ], - "title":"AWOL: Analysis WithOut synthesis using Language", - "id":"main", - "arxiv_id":"2404.03042", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1534 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7505_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "AWOL: Analysis WithOut synthesis using Language", + "id": "main", + "arxiv_id": "2404.03042", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1534 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7505_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Wanyun Li", "Pinxue Guo", "Xinyu Zhou", @@ -56784,36 +47850,30 @@ "Wei Zhang", "Wenqiang Zhang" ], - 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"title":"Quantization-Friendly Winograd Transformations for Convolutional Neural Networks", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1544 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7554_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Quantization-Friendly Winograd Transformations for Convolutional Neural Networks", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1544 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7554_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Junhao Zhuang", "Yanhong Zeng", "WENRAN LIU", "Chun Yuan", "Kai Chen" ], - 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"title":"Self-supervised Shape Completion via Involution and Implicit Correspondences", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1546 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7557_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Self-supervised Shape Completion via Involution and Implicit Correspondences", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1546 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7557_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Maan Qraitem", "Kate Saenko", "Bryan A. 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"title":"NICP: Neural ICP for 3D Human Registration at Scale", - "id":"main", - "arxiv_id":"2312.14024", - "GitHub":[ - "https:\/\/github.com\/riccardomarin\/nicp" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.14024", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1549 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7567_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "NICP: Neural ICP for 3D Human Registration at Scale", + "id": "main", + "arxiv_id": "2312.14024", + "GitHub": [ + "https://github.com/riccardomarin/nicp" + ], + "paper_page": "https://huggingface.co/papers/2312.14024", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1549 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7567_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "ZiDong Wang", "Zeyu Lu", "Di Huang", @@ -57345,36 +48325,30 @@ "Wanli Ouyang", "Lei Bai" ], - 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"title":"Improving Neural Surface Reconstruction with Feature Priors from Multi-View Images", - "id":"main", - "arxiv_id":"2408.02079", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1559 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7606_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Improving Neural Surface Reconstruction with Feature Priors from Multi-View Images", + "id": "main", + "arxiv_id": "2408.02079", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1559 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7606_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Dingkang Yang", "Mingcheng Li", "Dongling Xiao", @@ -57707,70 +48629,58 @@ "Ke Li", "Lihua Zhang" ], - 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"title":"Bidirectional Progressive Transformer for Interaction Intention Anticipation", - "id":"main", - "arxiv_id":"2405.05552", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1564 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7633_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Bidirectional Progressive Transformer for Interaction Intention Anticipation", + "id": "main", + "arxiv_id": "2405.05552", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1564 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7633_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Nico Messikommer", "Giovanni Cioffi", "Mathias Gehrig", "Davide Scaramuzza" ], - 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"title":"Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1627 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7833_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1627 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7833_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Armen Avetisyan", "Christopher Xie", "Henry Howard-Jenkins", @@ -60166,142 +50686,118 @@ "Richard Newcombe", "Vasileios Balntas" ], - 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"title":"COMPOSE: Comprehensive Portrait Shadow Editing", - "id":"main", - "arxiv_id":"2408.13922", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1634 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7862_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "COMPOSE: Comprehensive Portrait Shadow Editing", + "id": "main", + "arxiv_id": "2408.13922", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1634 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7862_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Siqi Wang", "Bryan Plummer" ], - "title":"LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration", - "id":"main", - "arxiv_id":"2306.11911", - "GitHub":[ - "https:\/\/github.com\/sunnysiqi\/lnl_k" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1635 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7865_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration", + "id": "main", + "arxiv_id": "2306.11911", + "GitHub": [ + "https://github.com/sunnysiqi/lnl_k" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1635 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7865_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ioannis Siglidis", "Aleksander Holynski", "Alexei A. 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"title":"GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers", - "id":"main", - "arxiv_id":"2408.02840", - "GitHub":[ - "https:\/\/github.com\/manupillai308\/garet" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1640 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7882_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers", + "id": "main", + "arxiv_id": "2408.02840", + "GitHub": [ + "https://github.com/manupillai308/garet" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1640 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7882_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Edoardo Palladin", "Roland Dietze", "Praveen Narayanan", "Mario Bijelic", "Felix Heide" ], - 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"title":"PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology", - "id":"main", - "arxiv_id":"2401.16355", - "GitHub":[ + "title": "PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology", + "id": "main", + "arxiv_id": "2401.16355", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2401.16355", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":13, - "Models":[ - - ], - "Datasets":[ - "jamessyx\/PathMMU" + "paper_page": "https://huggingface.co/papers/2401.16355", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 13, + "Models": [], + "Datasets": [ + "jamessyx/PathMMU" ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":1645 + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 1645 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7902_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7902_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Avery Ma", "Amir-massoud Farahmand", "Yangchen Pan", "Philip Torr", "Jindong Gu" ], - "title":"Improving Adversarial Transferability via Model Alignment", - "id":"main", - "arxiv_id":"2311.18495", - "GitHub":[ - "https:\/\/github.com\/averyma\/model-alignment" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1646 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7903_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Improving Adversarial Transferability via Model Alignment", + "id": "main", + "arxiv_id": "2311.18495", + "GitHub": [ + "https://github.com/averyma/model-alignment" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1646 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7903_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Wenhao Ding", "Yulong Cao", "DING ZHAO", "Chaowei Xiao", "Marco Pavone" ], - "title":"RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios", - "id":"main", - "arxiv_id":"2312.13303", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.13303", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":1647 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7904_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios", + "id": "main", + "arxiv_id": "2312.13303", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.13303", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 1647 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7904_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Hao Tang", "Weiyao Wang", "Pierre Gleize", "Matt Feiszli" ], - "title":"ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation", - "id":"main", - "arxiv_id":"2408.09042", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2408.09042", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":1648 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7908_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation", + "id": "main", + "arxiv_id": "2408.09042", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2408.09042", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 1648 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7908_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yunsong Zhou", "Linyan Huang", "Qingwen Bu", @@ -61044,36 +51448,30 @@ "Yu Qiao", "Hongyang Li" ], - "title":"Embodied Understanding of Driving Scenarios", - "id":"main", - "arxiv_id":"2403.04593", - "GitHub":[ - "https:\/\/github.com\/opendrivelab\/elm" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.04593", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":10, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1649 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7910_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Embodied Understanding of Driving Scenarios", + "id": "main", + "arxiv_id": "2403.04593", + "GitHub": [ + "https://github.com/opendrivelab/elm" + ], + "paper_page": "https://huggingface.co/papers/2403.04593", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 10, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1649 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7910_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Chris Zhang", "Sourav Biswas", "Kelvin Wong", @@ -61083,36 +51481,30 @@ "Sergio Casas", "Raquel Urtasun" ], - "title":"Learning to Drive via Asymmetric Self-Play", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1650 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/7914_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learning to Drive via Asymmetric Self-Play", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1650 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/7914_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhening Huang", "Xiaoyang Wu", "Xi Chen", @@ -61120,36 +51512,30 @@ "Lei Zhu", "Joan Lasenby" ], - 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"title":"SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views", - "id":"main", - "arxiv_id":"2408.10195", - "GitHub":[ + "title": "SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views", + "id": "main", + "arxiv_id": "2408.10195", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2408.10195", - "n_linked_authors":2, - "upvotes":12, - "num_comments":2, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - + "paper_page": "https://huggingface.co/papers/2408.10195", + "n_linked_authors": 2, + "upvotes": 12, + "num_comments": 2, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [ + "sudo-ai/SpaRP" ], - "Spaces":[ - "sudo-ai\/SpaRP" - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1704 + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1704 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8085_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - 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"title":"Discovering Unwritten Visual Classifiers with Large Language Models", - "id":"main", - "arxiv_id":"2404.09941", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1706 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8090_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Discovering Unwritten Visual Classifiers with Large Language Models", + "id": "main", + "arxiv_id": "2404.09941", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1706 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8090_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "De-An Huang", "Shijia Liao", "Subhashree Radhakrishnan", @@ -63123,69 +53187,59 @@ "Zhiding Yu", "Jan Kautz" ], - "title":"LITA: Language Instructed Temporal-Localization Assistant", - "id":"main", - "arxiv_id":"2403.19046", - "GitHub":[ - "https:\/\/github.com\/nvlabs\/lita" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.19046", - "n_linked_authors":2, - "upvotes":17, - "num_comments":1, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1707 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8092_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LITA: Language Instructed Temporal-Localization Assistant", + "id": "main", + "arxiv_id": "2403.19046", + "GitHub": [ + "https://github.com/nvlabs/lita" + ], + "paper_page": "https://huggingface.co/papers/2403.19046", + "n_linked_authors": 2, + "upvotes": 17, + "num_comments": 1, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1707 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8092_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Timothy Chase Jr", "Karthik Dantu" ], - "title":"MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "https:\/\/github.com\/droneslab\/mars\/" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - "https:\/\/github.com\/droneslab\/Luna-1\/" - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1708 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8095_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "https://github.com/droneslab/mars/" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [ + "https://github.com/droneslab/Luna-1/" + ], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1708 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8095_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Keen You", "Haotian Zhang", "Eldon Schoop", @@ -63195,71 +53249,59 @@ "Yinfei Yang", "Zhe Gan" ], - 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Dugger", "Chen-Nee Chuah" ], - "title":"Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1710 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8100_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1710 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8100_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yangchao Wu", "Tian Yu Liu", "Hyoungseob Park", @@ -63267,36 +53309,30 @@ "Dong Lao", "Alex Wong" ], - 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"title":"Investigating Style Similarity in Diffusion Models", - "id":"main", - "arxiv_id":"2404.01292", - "GitHub":[ + "title": "Investigating Style Similarity in Diffusion Models", + "id": "main", + "arxiv_id": "2404.01292", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.01292", - "n_linked_authors":1, - "upvotes":15, - "num_comments":1, - "n_authors":8, - "Models":[ - "tomg-group-umd\/CSD-ViT-L" - ], - "Datasets":[ - + "paper_page": "https://huggingface.co/papers/2404.01292", + "n_linked_authors": 1, + "upvotes": 15, + "num_comments": 1, + "n_authors": 8, + "Models": [ + "tomg-group-umd/CSD-ViT-L" ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1758 + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1758 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8296_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8296_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Brian Cheong", "Jiachen Zhou", "Steven L Waslander" ], - 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"title":"SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision", - "id":"main", - "arxiv_id":"2404.15721", - "GitHub":[ - "https:\/\/github.com\/ankitkv\/sparo-clip" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1763 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8321_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision", + "id": "main", + "arxiv_id": "2404.15721", + "GitHub": [ + "https://github.com/ankitkv/sparo-clip" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1763 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8321_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xiyao Liu", "Siyu Yang", "Jian Zhang", @@ -65181,36 +54907,30 @@ "Songtao Wu", "Hui Fang" ], - 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"title":"Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1765 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8341_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1765 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8341_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Haoxin Lv", "Tianxiong Zhong", "Sanyuan Zhao" ], - "title":"GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1766 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/8346_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1766 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/8346_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Linfeng Qi", "Zhaoyang Jia", "Jiahao Li", @@ -65289,36 +54997,30 @@ "Houqiang Li", "Yan Lu" ], - 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"title":"Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation", - "id":"main", - "arxiv_id":"2408.13752", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1939 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9204_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation", + "id": "main", + "arxiv_id": "2408.13752", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1939 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9204_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yaxuan Qin", "Jiayu Xu", "Ruiping Wang", "Xilin Chen" ], - 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"title":"Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL", - "id":"main", - "arxiv_id":"2404.09857", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1946 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9243_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL", + "id": "main", + "arxiv_id": "2404.09857", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1946 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9243_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yunzhi Yan", "Haotong Lin", "Chenxu Zhou", @@ -71799,142 +60453,118 @@ "Xiaowei Zhou", "Sida Peng" ], - 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"title":"Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1949 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9270_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1949 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9270_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Youngrae Kim", "Younggeol Cho", "Thanh-Tung Nguyen", "Seunghoon Hong", "Dongman Lee" ], - "title":"MetaWeather: Few-Shot Weather-Degraded Image Restoration", - "id":"main", - "arxiv_id":"2308.14334", - "GitHub":[ - "https:\/\/github.com\/rangewing\/metaweather" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1950 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9272_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MetaWeather: Few-Shot Weather-Degraded Image Restoration", + "id": "main", + "arxiv_id": "2308.14334", + "GitHub": [ + "https://github.com/rangewing/metaweather" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1950 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9272_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhipeng Hu", "Yongqiang Zhang", "Chen Liu", @@ -71944,69 +60574,57 @@ "Changjie Fan", "Xin Yu" ], - 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"title":"Can Textual Semantics Mitigate Sounding Object Segmentation Preference?", - "id":"main", - "arxiv_id":"2407.10947", - "GitHub":[ - "https:\/\/github.com\/gewu-lab\/sounding-object-segmentation-preference" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1984 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9469_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Can Textual Semantics Mitigate Sounding Object Segmentation Preference?", + "id": "main", + "arxiv_id": "2407.10947", + "GitHub": [ + "https://github.com/gewu-lab/sounding-object-segmentation-preference" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1984 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9469_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Raphael Sulzer", "Florent Lafarge" ], - 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"title":"KeypointDETR: An End-to-End 3D Keypoint Detector", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":1986 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9492_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "KeypointDETR: An End-to-End 3D Keypoint Detector", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 1986 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9492_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Sogand Salehi", "Mahdi Shafiei", "Roman Bachmann", "Teresa Yeo", "Amir Zamir" ], - "title":"ViPer: Visual Personalization of Generative Models via Individual Preference Learning", - "id":"main", - "arxiv_id":"2407.17365", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.17365", - "n_linked_authors":3, - "upvotes":11, - "num_comments":2, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1987 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9503_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "ViPer: Visual Personalization of Generative Models via Individual Preference Learning", + "id": "main", + "arxiv_id": "2407.17365", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.17365", + "n_linked_authors": 3, + "upvotes": 11, + "num_comments": 2, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1987 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9503_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jian Yang", "Jiakun Li", "Guoming Li", @@ -73261,36 +61671,30 @@ "Zhen Shen", "Zhaoxin Fan" ], - 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Tuan Nguyen", "Kai Sheng Tai", "Bor-Chun Chen", @@ -73300,72 +61704,60 @@ "Tai-Peng Tian", "Ser-Nam Lim" ], - "title":"uCAP: An Unsupervised Prompting Method for Vision-Language Models", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Oral", - "unique_id":1989 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9511_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "uCAP: An Unsupervised Prompting Method for Vision-Language Models", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Oral", + "unique_id": 1989 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9511_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Dilxat Muhtar", "Zhenshi Li", "Feng Gu", "Xueliang Zhang", "Pengfeng Xiao" ], - "title":"LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model", - "id":"main", - "arxiv_id":"2402.02544", - "GitHub":[ - "https:\/\/github.com\/NJU-LHRS\/LHRS-Bot" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2402.02544", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1990 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9512_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model", + "id": "main", + "arxiv_id": "2402.02544", + "GitHub": [ + "https://github.com/NJU-LHRS/LHRS-Bot" + ], + "paper_page": "https://huggingface.co/papers/2402.02544", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1990 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9512_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Andrei Atanov", "Rishubh Singh", "Jiawei Fu", @@ -73373,36 +61765,30 @@ "Andrew Spielberg", "Amir Zamir" ], - "title":"How Far Can a 1-Pixel Camera Go? 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Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology", + "id": "main", + "arxiv_id": "2406.11769", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1991 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9513_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jonathan Brokman", "Omer Hofman", "Roman Vainshtein", @@ -73415,36 +61801,30 @@ "Yuki Unno", "Hisashi Kojima" ], - "title":"MONTAGE: Monitoring Training for Attribution of Generative Diffusion Models", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - 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"arxiv_id":"2308.16349", - "GitHub":[ + "title": "Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations", + "id": "main", + "arxiv_id": "2308.16349", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2308.16349", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - "Kilich\/affect-visdial" + "paper_page": "https://huggingface.co/papers/2308.16349", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [ + "Kilich/affect-visdial" ], - "Spaces":[ - "Kilich\/affective-visdial" + "Spaces": [ + "Kilich/affective-visdial" ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":1993 + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 1993 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9518_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - 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"title":"Sequential Representation Learning via Static-Dynamic Conditional Disentanglement", - "id":"main", - "arxiv_id":"2408.05599", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":1998 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9562_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Sequential Representation Learning via Static-Dynamic Conditional Disentanglement", + "id": "main", + "arxiv_id": "2408.05599", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 1998 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9562_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Akshay Krishnan", "Abhijit Kundu", "Kevis-Kokitsi Maninis", "James Hays", "Matthew Brown" ], - "title":"OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects", - "id":"main", - "arxiv_id":"2407.08711", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.08711", - "n_linked_authors":2, - "upvotes":5, - "num_comments":2, - "n_authors":5, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":1999 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9564_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects", + "id": "main", + "arxiv_id": "2407.08711", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.08711", + "n_linked_authors": 2, + "upvotes": 5, + "num_comments": 2, + "n_authors": 5, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 1999 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9564_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "ZOUBIDA AMEUR", "Claire-Helene Demarty", "Olivier LE MEUR", "Daniel Menard" ], - "title":"3R-INN: How to be climate friendly while consuming\/delivering videos?", - "id":"main", - "arxiv_id":"2403.11760", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2000 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9565_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "3R-INN: How to be climate friendly while consuming/delivering videos?", + "id": "main", + "arxiv_id": "2403.11760", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2000 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9565_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Bingyu Xin", "Meng Ye", "Leon Axel", "Dimitris N. 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Makhov", "Irina Zhelavskaya", "Ruslan Ostapets", "Dehua Song", "Kirill Solodskikh" ], - "title":"Towards Robust Full Low-bit Quantization of Super Resolution Networks", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2002 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9574_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Towards Robust Full Low-bit Quantization of Super Resolution Networks", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2002 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9574_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jiyao Zhang", "Weiyao Huang", "Bo Peng", @@ -73811,72 +62135,60 @@ "Bo Zhao", "Hao Dong" ], - "title":"Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking", - "id":"main", - "arxiv_id":"2406.04316", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2003 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9575_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking", + "id": "main", + "arxiv_id": "2406.04316", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2003 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9575_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Uy Dieu Tran", "Minh N. Hoang Luu", "Phong Ha Nguyen", "Khoi Nguyen", "Binh-Son Hua" ], - "title":"Diverse Text-to-3D Synthesis with Augmented Text Embedding", - "id":"main", - "arxiv_id":"2312.02192", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2004 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9583_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Diverse Text-to-3D Synthesis with Augmented Text Embedding", + "id": "main", + "arxiv_id": "2312.02192", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2004 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9583_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Mathias \u00d6ttl", "Frauke Wilm", "Jana Steenpass", @@ -73890,36 +62202,30 @@ "Bernhard Kainz", "Katharina Breininger" ], - 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"title":"LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2006 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9596_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2006 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9596_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "MohammadReza Davari", "Eugene Belilovsky" ], - 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"title":"AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2008 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9607_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2008 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9607_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Pramish Paudel", "Anubhav Khanal", "Danda Pani Paudel", "Jyoti Tandukar", "Ajad Chhatkuli" ], - 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"title":"PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects", - "id":"main", - "arxiv_id":"2407.16696", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2018 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9667_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects", + "id": "main", + "arxiv_id": "2407.16696", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2018 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9667_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Quan Kong", "Yuki Kawana", "Rajat Saini", @@ -74402,36 +62634,30 @@ "Yoichi Sato", "Norimasa Kobori" ], - "title":"WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding", - "id":"main", - "arxiv_id":"2407.15350", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2019 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9680_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding", + "id": "main", + "arxiv_id": "2407.15350", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2019 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9680_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yuetong Fang", "Ziqing Wang", "Lingfeng Zhang", @@ -74439,36 +62665,30 @@ "Honglei Chen", "Renjing Xu" ], - 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"title":"Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2042 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9815_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2042 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9815_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zixuan Chen", "Zewei He", "Ziqian Lu", "Xuecheng Sun", "Zheming Lu" ], - 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"title":"Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM", - "id":"main", - "arxiv_id":"2407.13338", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2048 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9842_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM", + "id": "main", + "arxiv_id": "2407.13338", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2048 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9842_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Sudhir Yarram", "Junsong Yuan" ], - "title":"Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation", - "id":"main", - "arxiv_id":"2407.21450", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2049 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9846_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation", + "id": "main", + "arxiv_id": "2407.21450", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2049 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9846_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Emanuele Santellani", "Martin Zach", "Christian Sormann", @@ -75530,72 +63580,60 @@ "Andreas Kuhn", "Friedrich Fraundorfer" ], - 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"title":"Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring", - "id":"main", - "arxiv_id":"2405.00514", - "GitHub":[ - "https:\/\/github.com\/sizhuoli\/Domain_adaptive_regression_GOL" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2051 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9857_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring", + "id": "main", + "arxiv_id": "2405.00514", + "GitHub": [ + "https://github.com/sizhuoli/Domain_adaptive_regression_GOL" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2051 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9857_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Daniel Winter", "Matan Cohen", "Shlomi Fruchter", @@ -75603,36 +63641,30 @@ "Alex Rav-Acha", "Yedid Hoshen" ], - 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"title":"OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation", - "id":"main", - "arxiv_id":"2403.14183", - "GitHub":[ - "https:\/\/github.com\/cubeyoung\/OTSeg" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2057 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9904_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation", + "id": "main", + "arxiv_id": "2403.14183", + "GitHub": [ + "https://github.com/cubeyoung/OTSeg" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2057 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9904_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yannick Kirchhoff", "Maximilian R Rokuss", "Saikat Roy", @@ -75824,71 +63826,59 @@ "Fabian Isensee", "Klaus H. 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"title":"Conceptual Codebook Learning for Vision-Language Models", - "id":"main", - "arxiv_id":"2407.02350", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2059 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9911_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Conceptual Codebook Learning for Vision-Language Models", + "id": "main", + "arxiv_id": "2407.02350", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2059 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9911_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ana-Maria Marcu", "Long Chen", "Jan H\u00fcnermann", @@ -75902,36 +63892,30 @@ "Elahe Arani", "Oleg Sinavski" ], - "title":"LingoQA: Video Question Answering for Autonomous Driving", - "id":"main", - "arxiv_id":"2312.14115", - "GitHub":[ - "https:\/\/github.com\/wayveai\/lingoqa" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.14115", - "n_linked_authors":2, - "upvotes":0, - "num_comments":0, - "n_authors":12, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2060 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9918_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LingoQA: Video Question Answering for Autonomous Driving", + "id": "main", + "arxiv_id": "2312.14115", + "GitHub": [ + "https://github.com/wayveai/lingoqa" + ], + "paper_page": "https://huggingface.co/papers/2312.14115", + "n_linked_authors": 2, + "upvotes": 0, + "num_comments": 0, + "n_authors": 12, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2060 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9918_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Dimitrios Gerogiannis", "Foivos Paraperas Papantoniou", "Rolandos Alexandros Potamias", @@ -75940,36 +63924,30 @@ "Stylianos Ploumpis", "Stefanos Zafeiriou" ], - "title":"AnimateMe: 4D Facial Expressions via Diffusion Models", - "id":"main", - "arxiv_id":"2403.17213", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2061 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9919_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "AnimateMe: 4D Facial Expressions via Diffusion Models", + "id": "main", + "arxiv_id": "2403.17213", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2061 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9919_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhecan Wang", "Garrett Bingham", "Adams Wei Yu", @@ -75977,36 +63955,30 @@ "Thang Luong", "Golnaz Ghiasi" ], - "title":"HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning", - "id":"main", - "arxiv_id":"2407.15680", - "GitHub":[ - "https:\/\/github.com\/google\/haloquest" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.15680", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2062 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9925_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning", + "id": "main", + "arxiv_id": "2407.15680", + "GitHub": [ + "https://github.com/google/haloquest" + ], + "paper_page": "https://huggingface.co/papers/2407.15680", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2062 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9925_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Kevin Xie", "Tianshi Cao", "Jonathan P Lorraine", @@ -76016,36 +63988,30 @@ "Sanja Fidler", "Xiaohui Zeng" ], - "title":"LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis", - "id":"main", - "arxiv_id":"2403.15385", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.15385", - "n_linked_authors":3, - "upvotes":6, - "num_comments":1, - "n_authors":8, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":2063 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9936_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis", + "id": "main", + "arxiv_id": "2403.15385", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2403.15385", + "n_linked_authors": 3, + "upvotes": 6, + "num_comments": 1, + "n_authors": 8, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 2063 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9936_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tianyuan Yuan", "Yucheng Mao", "Jiawei Yang", @@ -76053,36 +64019,30 @@ "Yue Wang", "Hang Zhao" ], - "title":"PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors", - "id":"main", - "arxiv_id":"2403.09079", - "GitHub":[ - "https:\/\/github.com\/yuantianyuan01\/presight" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2064 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9937_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors", + "id": "main", + "arxiv_id": "2403.09079", + "GitHub": [ + "https://github.com/yuantianyuan01/presight" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2064 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9937_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jie Ren", "Yaxin Li", "Shenglai Zeng", @@ -76091,36 +64051,30 @@ "Yue Xing", "Jiliang Tang" ], - "title":"Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention", - "id":"main", - "arxiv_id":"2403.11052", - "GitHub":[ - "https:\/\/github.com\/renjie3\/memattn" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2065 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9941_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention", + "id": "main", + "arxiv_id": "2403.11052", + "GitHub": [ + "https://github.com/renjie3/memattn" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2065 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9941_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tom Fischer", "Yaoyao Liu", "Artur Jesslen", @@ -76131,36 +64085,30 @@ "Adam Kortylewski", "Eddy Ilg" ], - "title":"iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning", - "id":"main", - "arxiv_id":"2407.09271", - "GitHub":[ - "https:\/\/github.com\/fischer-tom\/inemo" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2066 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9942_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning", + "id": "main", + "arxiv_id": "2407.09271", + "GitHub": [ + "https://github.com/fischer-tom/inemo" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2066 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9942_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ivona Najdenkoska", "Animesh Sinha", "Abhimanyu Dubey", @@ -76168,36 +64116,30 @@ "Vignesh Ramanathan", "Filip Radenovic" ], - "title":"Context Diffusion: In-Context Aware Image Generation", - "id":"main", - "arxiv_id":"2312.03584", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.03584", - "n_linked_authors":5, - "upvotes":14, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":2067 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9947_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Context Diffusion: In-Context Aware Image Generation", + "id": "main", + "arxiv_id": "2312.03584", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2312.03584", + "n_linked_authors": 5, + "upvotes": 14, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 2067 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9947_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tongkai Shi", "Lianyu Hu", "Fanhua Shang", @@ -76205,209 +64147,173 @@ "liu peidong", "Wei Feng" ], - "title":"Pose Guided Fine-Grained Sign Language Video Generation", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2068 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/9950_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Pose Guided Fine-Grained Sign Language Video Generation", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2068 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/9950_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ali Zare", "Yulei Niu", "Hammad Ayyubi", "Shih-Fu Chang" ], - 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"title":"Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training", - "id":"main", - "arxiv_id":"2404.08327", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2092 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10071_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training", + "id": "main", + "arxiv_id": "2404.08327", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2092 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10071_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Bahar Aydemir", "Deblina Bhattacharjee", "Tong Zhang", "Mathieu Salzmann", "Sabine S\u00fcsstrunk" ], - "title":"Data Augmentation via Latent Diffusion for Saliency Prediction", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2093 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10075_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Data Augmentation via Latent Diffusion for Saliency Prediction", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2093 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10075_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Haiwen Feng", "Zheng Ding", "Zhihao Xia", @@ -77126,36 +64912,30 @@ "Michael J. 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Nezami", "Elazer R Edelman" ], - "title":"A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control", - "id":"main", - "arxiv_id":"2407.15631", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2095 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10082_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control", + "id": "main", + "arxiv_id": "2407.15631", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2095 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10082_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Shinjeong Kim", "Marc Pollefeys", "Daniel Barath" ], - 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"title":"SkyScenes: A Synthetic Dataset for Aerial Scene Understanding", - "id":"main", - "arxiv_id":"2312.06719", - "GitHub":[ + "title": "SkyScenes: A Synthetic Dataset for Aerial Scene Understanding", + "id": "main", + "arxiv_id": "2312.06719", + "GitHub": [ "" ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.06719", - "n_linked_authors":2, - "upvotes":2, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - "hoffman-lab\/SkyScenes" + "paper_page": "https://huggingface.co/papers/2312.06719", + "n_linked_authors": 2, + "upvotes": 2, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [ + "hoffman-lab/SkyScenes" ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":2101 + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 2101 }, { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10114_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10114_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Jord\u00e3o Bragantini", "Merlin Lange", "Lo\u00efc A Royer" ], - 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"title":"De-Confusing Pseudo-Labels in Source-Free Domain Adaptation", - "id":"main", - "arxiv_id":"2401.01650", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2106 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10147_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "De-Confusing Pseudo-Labels in Source-Free Domain Adaptation", + "id": "main", + "arxiv_id": "2401.01650", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2106 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10147_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ibrahim Ethem Hamamci", "Sezgin Er", "Anjany Sekuboyina", @@ -77617,72 +65327,60 @@ "Mehmet Kemal Ozdemir", "Bjoern Menze" ], - 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"title":"EraseDraw : Learning to Insert Objects by Erasing Them from Images", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2108 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10165_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "EraseDraw : Learning to Insert Objects by Erasing Them from Images", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2108 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10165_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Alind Khare", "Animesh Agrawal", "Aditya Annavajjala", @@ -77691,242 +65389,200 @@ "Hugo M Latapie", "Alexey Tumanov" ], - "title":"SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference", - "id":"main", - "arxiv_id":"2301.10879", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2109 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10167_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference", + "id": "main", + "arxiv_id": "2301.10879", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2109 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10167_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Francesco Croce", "Naman D. 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"title":"Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training", - "id":"main", - "arxiv_id":"2403.02325", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2111 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10180_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training", + "id": "main", + "arxiv_id": "2403.02325", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2111 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10180_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Vladimir Somers", "Alexandre Alahi", "Christophe De Vleeschouwer" ], - 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"title":"Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos", - "id":"main", - "arxiv_id":"2403.17103", - "GitHub":[ - "https:\/\/github.com\/facebookresearch\/AnimalAvatar" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.17103", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":2115 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10198_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos", + "id": "main", + "arxiv_id": "2403.17103", + "GitHub": [ + "https://github.com/facebookresearch/AnimalAvatar" + ], + "paper_page": "https://huggingface.co/papers/2403.17103", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 2115 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10198_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Lucas Goncalves", "Prashant Mathur", "Chandrashekhar Lavania", @@ -77934,36 +65590,30 @@ "Marcello Federico", "Kyu Han" ], - "title":"Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers\u2019 Opinion Scores", - "id":"main", - "arxiv_id":"2404.07336", - "GitHub":[ - "https:\/\/github.com\/amazon-science\/avgen-eval-toolkit" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.07336", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":6, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2116 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10205_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers\u2019 Opinion Scores", + "id": "main", + "arxiv_id": "2404.07336", + "GitHub": [ + "https://github.com/amazon-science/avgen-eval-toolkit" + ], + "paper_page": "https://huggingface.co/papers/2404.07336", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 6, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2116 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10205_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Mohammad Mahbubur Rahman", "Ryoma Yataka", "Sorachi Kato", @@ -77972,36 +65622,30 @@ "Adriano Cardace", "Petros Boufounos" ], - "title":"MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception", - "id":"main", - "arxiv_id":"2406.10708", - "GitHub":[ - "https:\/\/zenodo.org\/record\/12611978" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2117 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10236_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception", + "id": "main", + "arxiv_id": "2406.10708", + "GitHub": [ + "https://zenodo.org/record/12611978" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2117 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10236_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Zhenyi Wang", "Li Shen", "junfeng guo", @@ -78010,102 +65654,84 @@ "Tongliang Liu", "Mingchen Gao" ], - "title":"Training A Secure Model against Data-Free Model Extraction", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2118 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10237_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Training A Secure Model against Data-Free Model Extraction", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2118 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10237_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Christopher May", "Daniel Aliaga" ], - "title":"EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2119 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10248_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2119 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10248_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Rajaei Khatib", "Raja Giryes" ], - "title":"TriNeRFLet: A Wavelet Based Triplane NeRF Representation", - "id":"main", - "arxiv_id":"2401.06191", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2401.06191", - "n_linked_authors":1, - "upvotes":0, - "num_comments":0, - "n_authors":2, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Poster", - "unique_id":2120 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10261_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "TriNeRFLet: A Wavelet Based Triplane NeRF Representation", + "id": "main", + "arxiv_id": "2401.06191", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2401.06191", + "n_linked_authors": 1, + "upvotes": 0, + "num_comments": 0, + "n_authors": 2, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Poster", + "unique_id": 2120 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10261_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Amy Zhao", "Chengcheng Tang", "Lezi Wang", @@ -78115,36 +65741,30 @@ "Christopher D. Twigg", "Robert Y. 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"title":"RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement", - "id":"main", - "arxiv_id":"2404.01889", - "GitHub":[ - "https:\/\/github.com\/atmyre\/rave" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2404.01889", - "n_linked_authors":1, - "upvotes":1, - "num_comments":0, - "n_authors":3, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2123 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10285_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement", + "id": "main", + "arxiv_id": "2404.01889", + "GitHub": [ + "https://github.com/atmyre/rave" + ], + "paper_page": "https://huggingface.co/papers/2404.01889", + "n_linked_authors": 1, + "upvotes": 1, + "num_comments": 0, + "n_authors": 3, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2123 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10285_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Aditya Chinchure", "Pushkar Shukla", "Gaurav Bhatt", @@ -78227,105 +65835,87 @@ "Leonid Sigal", "Matthew Turk" ], - "title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models", - "id":"main", - "arxiv_id":"2312.01261", - "GitHub":[ - "https:\/\/github.com\/TIBET-AI\/TIBET" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2312.01261", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":7, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2124 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/10290_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models", + "id": "main", + "arxiv_id": "2312.01261", + "GitHub": [ + "https://github.com/TIBET-AI/TIBET" + ], + "paper_page": "https://huggingface.co/papers/2312.01261", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 7, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2124 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/10290_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Naoya Sogi", "Takashi Shibata", "Makoto Terao" ], - 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"title":"Adversarial Diffusion Distillation", - "id":"main", - "arxiv_id":"2311.17042", - "GitHub":[ - "https:\/\/github.com\/stability-ai\/generative-models" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2311.17042", - "n_linked_authors":0, - "upvotes":2, - "num_comments":0, - "n_authors":4, - "Models":[ - "ai-forever\/Kandinsky3.1" - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":1, - "type":"Oral", - "unique_id":2293 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/11581_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Adversarial Diffusion Distillation", + "id": "main", + "arxiv_id": "2311.17042", + "GitHub": [ + "https://github.com/stability-ai/generative-models" + ], + "paper_page": "https://huggingface.co/papers/2311.17042", + "n_linked_authors": 0, + "upvotes": 2, + "num_comments": 0, + "n_authors": 4, + "Models": [ + "ai-forever/Kandinsky3.1" + ], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 1, + "type": "Oral", + "unique_id": 2293 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/11581_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yuzhen Lin", "Wentang Song", "Bin Li", @@ -84353,105 +70959,87 @@ "Han Chen", "Qiushi Li" ], - "title":"Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2294 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/11588_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2294 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/11588_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Andong Tan", "Fengtao Zhou", "Hao Chen" ], - "title":"Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts", - "id":"main", - "arxiv_id":"2408.02265", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2295 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/11599_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts", + "id": "main", + "arxiv_id": "2408.02265", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2295 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/11599_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Tong Shao", "Zhuotao Tian", "Hang Zhao", "Jingyong Su" ], - "title":"Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation", - "id":"main", - "arxiv_id":"2407.08268", - "GitHub":[ - "https:\/\/github.com\/leaves162\/cliptrase" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.08268", - "n_linked_authors":0, - "upvotes":1, - "num_comments":0, - "n_authors":4, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2296 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/11606_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation", + "id": "main", + "arxiv_id": "2407.08268", + "GitHub": [ + "https://github.com/leaves162/cliptrase" + ], + "paper_page": "https://huggingface.co/papers/2407.08268", + "n_linked_authors": 0, + "upvotes": 1, + "num_comments": 0, + "n_authors": 4, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2296 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/11606_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Xiang Liu", "Zhaoxiang Liu", "Huan Hu", @@ -84460,69 +71048,57 @@ "Kai Wang", "Shiguo Lian" ], - "title":"A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis", - "id":"main", - "arxiv_id":"", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2297 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/11614_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis", + "id": "main", + "arxiv_id": "", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2297 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/11614_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Taesup Kim", "Donggeun Kim" ], - "title":"Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models", - "id":"main", - "arxiv_id":"2407.12616", - "GitHub":[ - "" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2407.12616", - "n_linked_authors":0, - "upvotes":0, - "num_comments":0, - "n_authors":2, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2298 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/11621_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models", + "id": "main", + "arxiv_id": "2407.12616", + "GitHub": [ + "" + ], + "paper_page": "https://huggingface.co/papers/2407.12616", + "n_linked_authors": 0, + "upvotes": 0, + "num_comments": 0, + "n_authors": 2, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2298 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/11621_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Luca Di Giammarino", "Boyang Sun", "Giorgio Grisetti", @@ -84530,176 +71106,168 @@ "Hermann Blum", "Daniel Barath" ], - "title":"Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information", - "id":"main", - "arxiv_id":"2407.15593", - "GitHub":[ - "https:\/\/github.com\/rvp-group\/learning-where-to-look" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2299 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/11626_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information", + "id": "main", + "arxiv_id": "2407.15593", + "GitHub": [ + "https://github.com/rvp-group/learning-where-to-look" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2299 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/11626_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Yisol Choi", "Sangkyung Kwak", "Kyungmin Lee", "Hyungwon Choi", "Jinwoo Shin" ], - "title":"Improving Diffusion Models for Authentic Virtual Try-on in the Wild", - "id":"main", - "arxiv_id":"2403.05139", - "GitHub":[ - "https:\/\/github.com\/yisol\/IDM-VTON" - ], - "paper_page":"https:\/\/huggingface.co\/papers\/2403.05139", - "n_linked_authors":2, - "upvotes":5, - "num_comments":2, - "n_authors":5, - "Models":[ - "yisol\/IDM-VTON", - "yisol\/IDM-VTON-DC", - "imaginairy\/idm-vton-safetensors", - "Roopansh\/Ailusion-VTON-DEMO-v1.1", - "Vijish\/VTON", - "jordandavis\/IDM-VTON" - ], - "Datasets":[ - - ], - "Spaces":[ - "yisol\/IDM-VTON", - "Nymbo\/Virtual-Try-On", - "kadirnar\/IDM-VTON", - "dryade36513\/ClothStudio", - "jallenjia\/Change-Clothes-AI", - "alf0nso\/IDM-VTON-demo2", - "pngwn\/IDM-VTON", - "LPDoctor\/IDM-VTON-demo", - "Loomisgitarrist\/TryOnLG", - "ChrisJohnson111\/test4", - "Roopansh\/Ailusion-VTON-DEMO-v1", - "Balaji23\/Meta-Tryon", - "Ridasaba\/yisol-IDM-VTON", - "skivap\/IDM-VTON", - "Bhushan26\/wearon", - "mrfreak72\/Dressify.Tech", - "EternalVision\/Virtual_Try_On_API", - "patrickligardes\/Dressfit", - "Varun-119\/yisol-IDM-VTON", - "heliumstores\/lifelikeshoots", - "deathmorty\/yisol", - "Minggo620\/mcloth", - "roshanbiswa\/IDM-VTON", - "Cr0c\/IDM-VTON", - "flink-town\/IDM-VTON-demo", - "ibolade\/yisol-IDM-VTON", - "zainy562\/yisol-IDM-VTON", - "darkroyale\/yisol-IDM-VTON", - "mubashirmehmood\/yisol-IDM-VTON", - "EazzyIt\/yisol-IDM-VTON", - "Hansika\/yisol-IDM-VTON", - "huggingparv\/yisol-IDM-VTON", - "ginipick\/fashion", - "AryanChandwani\/demo2", - "pe11\/yisol-IDM-VTON", - "greynutella\/yisol-IDM-VTON", - "ChrisJohnson111\/test12", - "ginipick\/fashionfit", - "praneeth-palepu\/yisol-IDM-VTON", - "flink-town\/IDM-VTON", - "Kenix\/yisol-IDM-VTON", - "tolgacesur\/yisol-IDM-VTON-demo", - "Zooyi\/yisol-IDM-VTON", - "tolgacesur\/yisol-IDM-VTON-2", - "Kushagra-777\/yisol-IDM-VTON", - "bobgus\/Roopansh-Ailusion-VTON-DEMO-v1.1", - "AryanChandwani\/yisol-IDM-VTON", - "zyflzxy\/IDM-VTONS", - "guowl0918\/yisol-IDM-VTON", - "Bhushan26\/Wearon-VTON", - "aaditshukla98710\/yisol-IDM-VTON", - 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"title":"On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition", - "id":"main", - "arxiv_id":"2407.14676", - "GitHub":[ - "" - ], - "paper_page":"", - "n_linked_authors":-1, - "upvotes":-1, - "num_comments":-1, - "n_authors":-1, - "Models":[ - - ], - "Datasets":[ - - ], - "Spaces":[ - - ], - "paper_page_exists_pre_conf":0, - "type":"Poster", - "unique_id":2374 - }, - { - "bibtex_url":"", - "proceedings":"papers\/eccv_2024\/papers_ECCV\/html\/12460_ECCV_2024_paper.php", - "bibtext":"", - "abstract":"", - "authors":[ + "title": "On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition", + "id": "main", + "arxiv_id": "2407.14676", + "GitHub": [ + "" + ], + "paper_page": "", + "n_linked_authors": -1, + "upvotes": -1, + "num_comments": -1, + "n_authors": -1, + "Models": [], + "Datasets": [], + "Spaces": [], + "paper_page_exists_pre_conf": 0, + "type": "Poster", + "unique_id": 2374 + }, + { + "bibtex_url": "", + "proceedings": "papers/eccv_2024/papers_ECCV/html/12460_ECCV_2024_paper.php", + "bibtext": "", + "abstract": "", + "authors": [ "Ahmad Rezaei", "Mohammad Akbari", "Saeed Ranjbar Alvar", "Arezou Fatemi", "Yong Zhang" ], - 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