| 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, ... CVPR2024, 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, 2023 | 1499 | 2023 |
| Uniformer: Unifying convolution and self-attention for visual recognition K Li, Y Wang, J Zhang, P Gao, G Song, Y Liu, H Li, Y Qiao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 1433* | 2023 |
| 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 CVPR2023, 2023 | 1131 | 2023 |
| Internvideo2: Scaling video foundation models for multimodal video understanding Y Wang, K Li, X Li, J Yu, Y He, G Chen, B Pei, R Zheng, J Xu, Z Wang, ... ECCV 2024, 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 ECCV 2024, 2024 | 847 | 2024 |
| 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, ... ICLR 2024, 2024 | 749 | 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 | 749 | 2022 |
| Learning attentive pairwise interaction for fine-grained classification P Zhuang, Y Wang, Y Qiao Proceedings of the AAAI conference on artificial intelligence 34 (07), 13130 …, 2020 | 552 | 2020 |
| Adaptive pyramid context network for semantic segmentation J He, Z Deng, L Zhou, Y Wang, Y Qiao 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 544 | 2019 |
| Lstd: A low-shot transfer detector for object detection H Chen, Y Wang, G Wang, Y Qiao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 502 | 2018 |
| Uniformerv2: Spatiotemporal learning by arming image vits with video uniformer K Li, Y Wang, Y He, Y Li, Y Wang, L Wang, Y Qiao ICCV2023, 2023 | 423* | 2023 |
| Unmasked teacher: Towards training-efficient video foundation models K Li, Y Wang, Y Li, Y Wang, Y He, L Wang, Y Qiao ICCV2023, 2023 | 358 | 2023 |
| Seine: Short-to-long video diffusion model for generative transition and prediction X Chen, Y Wang, L Zhang, S Zhuang, X Ma, J Yu, Y Wang, D Lin, Y Qiao, ... ICLR 2024, 2024 | 301 | 2024 |
| VideoChat-R1: Enhancing spatio-temporal perception via reinforcement fine-tuning X Li, Z Yan, D Meng, L Dong, X Zeng, Y He, Y Wang, Y Qiao, Y Wang, ... SCIENCE CHINA Information Sciences, 2025 | 291 | 2025 |
| Recurrent spatial-temporal attention network for action recognition in videos W Du, Y Wang, Y Qiao IEEE Transactions on image processing 27 (3), 1347-1360, 2017 | 271 | 2017 |
| Internvideo2. 5: Empowering video mllms with long and rich context modeling Y Wang, X Li, Z Yan, Y He, J Yu, X Zeng, C Wang, C Ma, H Huang, J Gao, ... arXiv preprint arXiv:2501.12386, 2025 | 258 | 2025 |
| Starting from non-parametric networks for 3d point cloud analysis R Zhang, L Wang, Y Wang, P Gao, H Li, J Shi 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023 | 243* | 2023 |
| Rpan: An end-to-end recurrent pose-attention network for action recognition in videos W Du, Y Wang, Y Qiao 2017 IEEE International Conference on Computer Vision (ICCV), 3745-3754, 2017 | 243 | 2017 |
| Videochat-flash: Hierarchical compression for long-context video modeling X Li, Y Wang, J Yu, X Zeng, Y Zhu, H Huang, J Gao, K Li, Y He, C Wang, ... ICLR2026, 2026 | 242 | 2026 |
Yu QiaoProfessor of Shanghai Innovation Institute; Shanghai AI LaboratoryVerified email at siat.ac.cn
