视频大模型

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos

Tingyu Song, Tongyan Hu, Guo Gan, Yilun Zhao

机构 * School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences（中国科学院大学先进交叉学科学院） ； National University of Singapore（新加坡国立大学） ； Zhejiang University（浙江大学） ； Yale University（耶鲁大学） 纠错

专题命中 视频问答 ：video generation(abstract)；分类 cs.CV

Comments ACL 2025 Main

Compositional Physical Reasoning of Objects and Events from Videos

Zhenfang Chen, Shilong Dong, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

机构 * MIT-IBM Watson AI lab（MIT-IBM沃森人工智能实验室） ； New York University（纽约大学） ； Harvard University（哈佛大学） ； UIUC（伊利诺伊大学） ； UC Berkeley（加州大学伯克利分校） ； MIT（麻省理工学院） ； UMass Amherst（马萨诸塞大学阿姆赫斯特分校） 纠错

专题命中 视频问答 ：video reasoning(abstract)；分类 cs.CV

Comments Accepted by TPAMI 2025. arXiv admin note: text overlap with arXiv:2205.01089

ViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding Validation

Tony Montes, Fernando Lozano

机构 * The Department of Electrical and Electronics Engineering（电气与电子工程系） ； Universidad de los Andes（亚利桑德大学） 纠错

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining

Lu Dong, Haiyu Zhang, Hongjie Zhang, Yifei Huang, Zhen-Hua Ling, Yu Qiao, Limin Wang, Yali Wang

机构 * University of Science and Technology of China（中国科学技术大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Beihang University（北京航空航天大学） ； State Key Laboratory for Novel Software Technology（国家软件创新科技重点实验室） ； Nanjing University（南京大学） ； Shenzhen Key Laboratory of Computer Vision and Pattern Recognition（深圳计算机视觉与模式识别重点实验室） ； Shenzhen Institute of Advanced Technology（深圳先进技术研究院） ； Chinese Academy of Sciences（中国科学院） 纠错

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Comments TCSVT 2025, doi at https://ieeexplore.ieee.org/document/10970001

VideoMultiAgents: A Multi-Agent Framework for Video Question Answering

Noriyuki Kugo, Xiang Li, Zixin Li, Ashish Gupta, Arpandeep Khatua, Nidhish Jain, Chaitanya Patel, Yuta Kyuragi, Yasunori Ishii, Masamoto Tanabiki, Kazuki Kozuka, Ehsan Adeli

机构 * Panasonic Connect Co., Ltd.（松下电器（中国）有限公司） ； Stanford University（斯坦福大学） ； Panasonic R&D Company of America（松下美国研发公司） ； Panasonic Holdings Corporation（松下控股公司） 纠错

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering

Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan Yuille

机构 * Johns Hopkins University（约翰霍普金斯大学） ； Tsinghua University（清华大学） ； Max Planck Institute for Informatics（马克斯·普朗克研究所（信息学）） ； University of Freiburg（弗赖堡大学） 纠错

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Comments ICLR 2025 accepted paper. Project url: https://xingruiwang.github.io/projects/DynSuperCLEVR/

MM-Ego: Towards Building Egocentric Multimodal LLMs for Video QA

Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Comments Accepted by ICLR 2025

Frame-Voyager: Learning to Query Frames for Video Large Language Models

Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Comments ICLR 2025, Camera-ready Version

Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning

Huabin Liu, Filip Ilievski, Cees G. M. Snoek

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Comments Accepted by CVPR 2025

Agentic Keyframe Search for Video Question Answering

Sunqi Fan, Meng-Hao Guo, Shuojin Yang

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering

Haochen Wang, Kai Hu, Liangcai Gao

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

VITED: Video Temporal Evidence Distillation

Yujie Lu, Yale Song, William Wang, Lorenzo Torresani, Tushar Nagarajan

专题命中 视频问答 ：long video(abstract)；分类 cs.CV

Journal ref CVPR 2025

Causality Model for Semantic Understanding on Videos

Li Yicong

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Comments PhD Thesis

BIMBA: Selective-Scan Compression for Long-Range Video Question Answering

Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Gedas Bertasius, Lorenzo Torresani

专题命中 视频问答 ：long video(abstract)；分类 cs.CV

Comments Accepted by CVPR 2025

Parameter-free Video Segmentation for Vision and Language Understanding

Louis Mahon, Mirella Lapata

专题命中 视频问答 ：long video(abstract)；分类 cs.CV

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, Tao Zhong, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang

专题命中 视频问答 ：long video(abstract)；分类 cs.CV

Comments Accepted to ICLR 2025. Code: https://github.com/Becomebright/ReKV

Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation

Yudi Shi, Shangzhe Di, Qirui Chen, Weidi Xie

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling

Min Zhang, Zilin Wang, Liyan Chen, Kunhong Liu, Juncong Lin

专题命中 视频问答 ：video generation(abstract)；分类 cs.CV

Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries

Roberto Amoroso, Gengyuan Zhang, Rajat Koner, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Comments WACV 2025

Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues

Yan Zhang, Gangyan Zeng, Huawen Shen, Daiqing Wu, Yu Zhou, Can Ma

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Comments Accepted by AAAI 2025

Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track

Deepak Gupta, Dina Demner-Fushman

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Efficient Large Multi-modal Models via Visual Context Compression

Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan Yuille

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Comments NeurIPS 2024 Camera Ready; Code is available at https://github.com/Beckschen/LLaVolta

Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question Answering

Ting Yu, Kunhao Fu, Jian Zhang, Qingming Huang, Jun Yu

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Comments Transactions on Image Processing

Journal ref Transactions on Image Processing, vol. 33, pp. 3115-3129, 2024

Encoding and Controlling Global Semantics for Long-form Video Question Answering

Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu

专题命中 视频问答 ：long video(abstract)；分类 cs.CV

Comments Accepted to the main EMNLP 2024 conference

First Place Solution to the Multiple-choice Video QA Track of The Second Perception Test Challenge

Yingzhe Peng, Yixiao Yuan, Zitian Ao, Huapeng Zhou, Kangqi Wang, Qipeng Zhu, Xu Yang

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Detours for Navigating Instructional Videos

Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Comments CVPR 2024

DAM: Dynamic Adapter Merging for Continual Video QA Learning

Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius

专题命中 视频问答 ：video-language(abstract)；分类 cs.CV

Comments The first two authors contribute equally

An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM

Wonkyun Kim, Changin Choi, Wonseok Lee, Wonjong Rhee

专题命中 视频问答 ：video language model(abstract)；分类 cs.CV

Comments Our code is available at https://github.com/imagegridworth/IG-VLM

YTCommentQA: Video Question Answerability in Instructional Videos

Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee

专题命中 视频问答 ：video reasoning(abstract)；分类 cs.CV

Comments AAAI 2024

Zero-Shot Video Question Answering with Procedural Programs

Rohan Choudhury, Koichiro Niinuma, Kris M. Kitani, László A. Jeni

专题命中 视频问答 ：video understanding(abstract)；分类 cs.CV

Comments 16 pages, 7 figures