Fetching the paper…
Reading the bibliography…
Video understanding plays a vital role in bridging low-level visual signals with high-level cognitive reasoning, and is fundamental to applications such as autonomous driving, embodied AI, and the broader pursuit of AGI.
Understanding video events: A survey of methods for automatic interpretation of semantic occurrences in video
Gal Lavee, Ehud Rivlin, and Michael Rudzsky. 2009 · 2009
Earlier work this paper cites.
Umap: Uniform manifold approximation and projection for dimension reduction
Leland McInnes, John Healy, and James Melville. 2018 · 2018
Earlier work this paper cites.
Learning transferable visual models from natural language supervision. In International conference on machine learning . PmLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Towards long-form video understanding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1884–1894
Chao-Yuan Wu and Philipp Krahenbuhl. 2021 · 2021
Earlier work this paper cites.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Earlier work this paper cites.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, and William Yang Wang. 2023 · 2023
Earlier work this paper cites.
Partial annotation-based video moment retrieval via iterative learning. In Proceedings of the 31st ACM International Conference on Multimedia . 4330–4339
Wei Ji, Renjie Liang, Lizi Liao, Hao Fei, and Fuli Feng. 2023 · 2023
Earlier work this paper cites.
Video understanding with large language models: A survey
Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, et al · 2023
Earlier work this paper cites.
Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim. 2023a · 2023
Earlier work this paper cites.
The role of chain-of-thought in complex vision-language reasoning task
Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C Gee, and Yixin Nie. 2023 · 2023
Earlier work this paper cites.
Vid2seq: Large-scale pretraining of a visual language model for dense video captioning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10714–10726
Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, and Cordelia Schmid. 2023 · 2023
Earlier work this paper cites.
Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
Earlier work this paper cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
Earlier work this paper cites.
HourVideo: 1-Hour Video-Language Understanding. In Advances in Neural Information Processing Systems , A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, and C. Zhang (Eds.), Vol. 37. Curran Associates, Inc., 53168–53197
Keshigeyan Chandrasegaran, Agrim Gupta, Lea M. Hadzic, Taran Kota, Jimming He, Cristobal Eyzaguirre, Zane Durante, Manling Li, Jiajun Wu, and Li Fei-Fei. 2024 · 2024
Earlier work this paper cites.
Sharegpt4video: Improving video understanding and generation with better captions
Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Zhenyu Tang, Li Yuan, et al · 2024
Earlier work this paper cites.
Unlocking the capabilities of thought: A reasoning boundary framework to quantify and optimize chain-of-thought
Qiguang Chen, Libo Qin, Jiaqi Wang, Jingxuan Zhou, and Wanxiang Che. 2024a · 2024
Cited alongside, same era.
Videgothink: Assessing egocentric video understanding capabilities for embodied ai
Sijie Cheng, Kechen Fang, Yangyang Yu, Sicheng Zhou, Bohao Li, Ye Tian, Tingguang Li, Lei Han, and Yang Liu. 2024 · 2024
Cited alongside, same era.
Sora as an agi world model? a complete survey on text-to-video generation
Joseph Cho, Fachrina Dewi Puspitasari, Sheng Zheng, Jingyao Zheng, Lik-Hang Lee, Tae-Ho Kim, Choong Seon Hong, and Chaoning Zhang. 2024 · 2024
Cited alongside, same era.
A Survey on Multimodal Large Language Models for Autonomous Driving. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops . 958–979
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, and Chao Zheng. 2024 · 2024
An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, et al · 2024
Later among the works it cites.
Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, et al · 2024
Later among the works it cites.
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought. In Findings of the Association for Computational Linguistics ACL 2024 . 9191–9200
Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, and Libo Qin. 2024 · 2024
Later among the works it cites.
Mlvu: A comprehensive benchmark for multi-task long video understanding
Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Shitao Xiao, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, and Zheng Liu. 2024a · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE Computer Society, 7641–7653
Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, and Tat-Seng Chua. 2024a · 2024
Cited alongside, same era.
Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment
Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, and Shuicheng Yan. 2024c · 2024
Cited alongside, same era.
A Survey of Multimodel Large Language Models. In Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering . 405–409
Zijing Liang, Yanjie Xu, Yifan Hong, Penghui Shang, Qi Wang, Qiang Fu, and Ke Liu. 2024 · 2024
Cited alongside, same era.
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 12585–12602
Muhammad Maaz, Hanoona Rasheed, Salman Khan, and Fahad Khan. 2024 · 2024
Cited alongside, same era.
Large language models meet nlp: A survey
Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, and Philip S Yu. 2024 · 2024
Cited alongside, same era.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai, Anmol Gulati, Garrett Tanzer, Damien Vincent, Zhufeng Pan, Shibo Wang, et al · 2024
Cited alongside, same era.
S3 agent: Unlocking the power of VLLM for zero-shot multi-modal sarcasm detection
Peng Wang, Yongheng Zhang, Hao Fei, Qiguang Chen, Yukai Wang, Jiasheng Si, Wenpeng Lu, Min Li, and Libo Qin. 2024b · 2024
Cited alongside, same era.
Longvlm: Efficient long video understanding via large language models. In European Conference on Computer Vision . Springer, 453–470
Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, and Bohan Zhuang. 2024 · 2024
Cited alongside, same era.
A survey on generative ai and llm for video generation, understanding, and streaming
Pengyuan Zhou, Lin Wang, Zhi Liu, Yanbin Hao, Pan Hui, Sasu Tarkoma, and Jussi Kangasharju. 2024b · 2024
Later among the works it cites.
Towards reasoning era: A survey of long chain-of-thought for reasoning large language models
Qiguang Chen, Libo Qin, Jinhao Liu, Dengyun Peng, Jiannan Guan, Peng Wang, Mengkang Hu, Yuhang Zhou, Te Gao, and Wanxiang Che. 2025a · 2025
Closest in time.
AI4Research: A Survey of Artificial Intelligence for Scientific Research
Qiguang Chen, Mingda Yang, Libo Qin, Jinhao Liu, Zheng Yan, Jiannan Guan, Dengyun Peng, Yiyan Ji, Hanjing Li, Mengkang Hu, et al · 2025
Closest in time.
Visual thoughts: A unified perspective of understanding multimodal chain-of-thought
Zihui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Yidong Wang, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, et al · 2025
Closest in time.
Video-r1: Reinforcing video reasoning in mllms
Kaituo Feng, Kaixiong Gong, Bohao Li, Zonghao Guo, Yibing Wang, Tianshuo Peng, Junfei Wu, Xiaoying Zhang, Benyou Wang, and Xiangyu Yue. 2025 · 2025
Closest in time.
VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
Songhao Han, Wei Huang, Hairong Shi, Le Zhuo, Xiu Su, Shifeng Zhang, Xu Zhou, Xiaojuan Qi, Yue Liao, and Si Liu. 2025 · 2025
Closest in time.
CoS: Chain-of-Shot Prompting for Long Video Understanding
Jian Hu, Zixu Cheng, Chenyang Si, Wei Li, and Shaogang Gong. 2025 · 2025
Closest in time.
A survey of multilingual large language models
Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, and Philip S Yu. 2025 · 2025
Closest in time.
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Yaoting Wang, Shengqiong Wu, Yuecheng Zhang, William Wang, Ziwei Liu, Jiebo Luo, and Hao Fei. 2025b · 2025
Closest in time.
Find Details in Long Videos: Tower-of-Thoughts and Self-Retrieval Augmented Generation for Video Understanding. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 1–5
Tong Yue, Mingrui Xiao, Dafeng Zhang, Xin Liu, Yali Li, and Shengjin Wang. 2025 · 2025
Closest in time.
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
Boqiang Zhang, Kehan Li, Zesen Cheng, Zhiqiang Hu, Yuqian Yuan, Guanzheng Chen, Sicong Leng, Yuming Jiang, Hang Zhang, Xin Li, Peng Jin, Wenqi Zhang, Fan Wang, Lidong Bing, and Deli Zhao. 2025a · 2025
Closest in time.
Yongheng Zhang, Xu Liu, Ruoxi Zhou, Qiguang Chen, Hao Fei, Wenpeng Lu, and Libo Qin. 2025b · 2025
Closest in time.