| Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool European conference on computer vision, 2016 | 5773 | 2016 |
| Action recognition with trajectory-pooled deep-convolutional descriptors L Wang, Y Qiao, X Tang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4305-4314, 2015 | 4113 | 2015 |
| VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training Z Tong, Y Song, J Wang, L Wang 36th Conference on Neural Information Processing Systems (NeurIPS), 2022 | 2945 | 2022 |
| VBench: Comprehensive Benchmark Suite for Video Generative Models Z Huang, Y He, J Yu, F Zhang, C Si, Y Jiang, Y Zhang, T Wu, Q Jin, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 2226 | 2024 |
| Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models J Zhu, W Wang, Z Chen, Z Liu, S Ye, L Gu, H Tian, Y Duan, W Su, J Shao, ... arXiv preprint arXiv:2504.10479, 2025 | 1948 | 2025 |
| Expanding performance boundaries of open-source multimodal models with model, data, and test-time scaling Z Chen, W Wang, Y Cao, Y Liu, Z Gao, E Cui, J Zhu, S Ye, H Tian, Z Liu, ... arXiv preprint arXiv:2412.05271, 2024 | 1935 | 2024 |
| MVBench: A Comprehensive Multi-modal Video Understanding Benchmark K Li, Y Wang, Y He, Y Li, Y Wang, Y Liu, Z Wang, J Xu, G Chen, P Luo, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 1629 | 2024 |
| VideoChat: Chat-Centric Video Understanding KC Li, Y He, Y Wang, Y Li, W Wang, P Luo, Y Wang, L Wang, Y Qiao SCIENCE CHINA Information Sciences 68 (10), 200102, 2025 | 1499 | 2025 |
| Internvl3. 5: Advancing open-source multimodal models in versatility, reasoning, and efficiency W Wang, Z Gao, L Gu, H Pu, L Cui, X Wei, Z Liu, L Jing, S Ye, J Shao, ... arXiv preprint arXiv:2508.18265, 2025 | 1465 | 2025 |
| MixFormer: End-to-End Tracking with Iterative Mixed Attention Y Cui, J Cheng, L Wang, G Wu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 1368 | 2022 |
| Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering T Lu, M Yu, L Xu, Y Xiangli, L Wang, D Lin, B Dai IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 1283 | 2024 |
| Temporal action detection with structured segment networks Y Zhao, Y Xiong, L Wang, Z Wu, X Tang, D Lin International Conference on Computer Vision (ICCV), 2914-2923, 2017 | 1278 | 2017 |
| Temporal segment networks for action recognition in videos L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool IEEE transactions on pattern analysis and machine intelligence 41 (11), 2740 …, 2019 | 1274 | 2019 |
| VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking L Wang, B Huang, Z Zhao, Z Tong, Y He, Y Wang, Y Wang, Y Qiao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 1131 | 2023 |
| Bag of visual words and fusion methods for action recognition: comprehensive study and good practice X Peng, L Wang, X Wang, Y Qiao Computer Vision and Image Understanding (CVIU) 150, 109－125, 2016 | 905 | 2016 |
| Internvideo2: Scaling foundation models for multimodal video understanding Y Wang, K Li, X Li, J Yu, Y He, G Chen, B Pei, R Zheng, Z Wang, Y Shi, ... European Conference on Computer Vision, 396-416, 2024 | 858 | 2024 |
| VideoMamba: State Space Model for Efficient Video Understanding K Li, X Li, Y Wang, Y He, Y Wang, L Wang, Y Qiao European Conference on Computer Vision (ECCV), 2024 | 847 | 2024 |
| Internvideo: General video foundation models via generative and discriminative learning Y Wang, K Li, Y Li, Y He, B Huang, Z Zhao, H Zhang, J Xu, Y Liu, Z Wang, ... arXiv preprint arXiv:2212.03191, 2022 | 778 | 2022 |
| Internvid: A large-scale video-text dataset for multimodal understanding and generation Y Wang, Y He, Y Li, K Li, J Yu, X Ma, X Li, G Chen, X Chen, Y Wang, C He, ... International Conference on Learning Representations (ICLR), 2024 | 773 | 2024 |
| TEA: Temporal Excitation and Aggregation for Action Recognition Y Li, B Ji, X Shi, J Zhang, B Kang, L Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 906-915, 2020 | 752 | 2020 |
Yu QiaoProfessor of Shanghai Innovation Institute; Shanghai AI LaboratoryVerified email at siat.ac.cn
