| 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 (ECCV), 20-36, 2016 | 4509 | 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 | 3972 | 2015 |
| 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 | 1047 | 2017 |
| 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 | 859 | 2016 |
| 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 | 855 | 2019 |
| 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 | 737 | 2022 |
| UntrimmedNets for weakly supervised action recognition and detection L Wang, Y Xiong, D Lin, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4325－4334, 2017 | 602 | 2017 |
| Towards good practices for very deep two-stream convnets L Wang, Y Xiong, Z Wang, Y Qiao arXiv preprint arXiv:1507.02159, 2015 | 572 | 2015 |
| 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 | 534 | 2020 |
| Real-time action recognition with enhanced motion vector CNNs B Zhang, L Wang, Z Wang, Y Qiao, H Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2718-2726, 2016 | 514 | 2016 |
| WebVision Database: Visual Learning and Understanding from Web Data W Li, L Wang, W Li, E Agustsson, L Van Gool arXiv preprint arXiv:1708.02862, 2017 | 433 | 2017 |
| 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 | 421 | 2022 |
| TDN: Temporal Difference Networks for Efficient Action Recognition L Wang, Z Tong, B Ji, G Wu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 412 | 2021 |
| Appearance-and-Relation Networks for Video Classification L Wang, W Li, W Li, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1430-1439, 2018 | 412 | 2018 |
| VideoChat: Chat-Centric Video Understanding KC Li, Y He, Y Wang, Y Li, W Wang, P Luo, Y Wang, L Wang, Y Qiao arXiv preprint arXiv:2305.06355, 2023 | 305 | 2023 |
| TAM: Temporal Adaptive Module for Video Recognition Z Liu, L Wang, W Wu, C Qian, T Lu IEEE/CVF Iternational Conference on Computer Vision (ICCV), 2021 | 295 | 2021 |
| PyMAF: 3D human pose and shape regression with pyramidal mesh alignment feedback loop H Zhang, Y Tian, X Zhou, W Ouyang, Y Liu, L Wang, Z Sun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 280 | 2021 |
| Learning actor relation graphs for group activity recognition J Wu, L Wang, L Wang, J Guo, G Wu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9964-9974, 2019 | 277 | 2019 |
| Multi-view super vector for action recognition Z Cai, L Wang, X Peng, Y Qiao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 596 - 603, 2014 | 246 | 2014 |
| TEINet: Towards an Efficient Architecture for Video Recognition Z Liu, D Luo, Y Wang, L Wang, Y Tai, C Wang, J Li, F Huang, T Lu AAAI Conference on Artificial Intelligence (AAAI), 2020 | 241 | 2020 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CAS在 siat.ac.cn 的电子邮件经过验证
