| Temporal Segment Networks: Towards Good Practices for Deep Action Recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, LV Gool European conference on computer vision, 20-36, 2016 | 4886 | 2016 |
| Temporal Segment Networks for Action Recognition in Videos L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, LV Gool IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 976 | 2018 |
| Towards good practices for very deep two-stream ConvNets L Wang, Y Xiong, Z Wang, Y Qiao arXiv preprint arXiv:1507.02159, 2015 | 584 | 2015 |
| Real-time Action Recognition with Enhanced Motion Vector CNNs B Zhang, L Wang, Z Wang, Y Qiao, H Wang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 535 | 2016 |
| Real-Time Action Recognition with Deeply-Transferred Motion Vector CNNs B Zhang, L Wang, Z Wang, Y Qiao, H Wang IEEE Transactions on Image Processing, 2018 | 190 | 2018 |
| CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016 Y Xiong, L Wang, Z Wang, B Zhang, H Song, W Li, D Lin, Y Qiao, LV Gool, ... ActivityNet Large Scale Activity Recognition Challenge, 1-4, 2016 | 139 | 2016 |
| Weakly supervised patchnets: Describing and aggregating local patches for scene recognition Z Wang, L Wang, Y Wang, B Zhang, Y Qiao IEEE Transactions on Image Processing 26 (4), 2028-2041, 2017 | 103 | 2017 |
| Object-scene convolutional neural networks for event recognition in images L Wang, Z Wang, W Du, Y Qiao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 83 | 2015 |
| TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation H Ma, L Chen, D Kong, Z Wang, X Liu, H Tang, X Yan, Y Xie, SY Lin, ... arXiv preprint arXiv:2110.09554, 2021 | 71 | 2021 |
| Transferring deep object and scene representations for event recognition in still images L Wang, Z Wang, Y Qiao, LV Gool International Journal of Computer Vision 126 (2-4), 390-409, 2018 | 70 | 2018 |
| Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation Z Wang, D Shin, C Fowlkes ECCV 3dpw workshop, 2020 | 63 | 2020 |
| Geometric Pose Affordance: 3D Human Pose with Scene Constraints Z Wang, L Chen, S Rathore, D Shin, C Fowlkes arXiv preprint arXiv:1905.07718, 2019 | 58 | 2019 |
| PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation H Ma, Z Wang, Y Chen, D Kong, L Chen, X Liu, X Yan, H Tang, X Xie European Conference on Computer Vision (ECCV), 2022 | 57 | 2022 |
| PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos T Luan, Y Wang, J Zhang, Z Wang, Z Zhou, Y Qiao AAAI 2021, 2021 | 38 | 2021 |
| Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos J Zhang, Y Wang, Z Zhou, T Luan, Z Wang, Y Qiao IEEE Transactions on Image Processing 30, 7914-7925, 2021 | 33 | 2021 |
| SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation Z Wang, H Chen, X Li, C Liu, Y Xiong, J Tighe, C Fowlkes WACV 2022, https://arxiv.org/abs/2105.14158, 2022 | 29 | 2022 |
| Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering Z Wang, X Liu, L Chen, L Wang, Y Qiao, X Xie, C Fowlkes IEEE Winter Conf. on Applications of Computer Vision, 2018 | 25 | 2018 |
| Better Exploiting OS-CNNs for Better Event Recognition in Images L Wang, Z Wang, S Guo, Y Qiao Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 25 | 2015 |
| CUHK&SIAT submission for THUMOS15 action recognition challenge L Wang, Z Wang, Y Xiong, Y Qiao THUMOS Action Recognition challenge, 1-3, 2015 | 22 | 2015 |
| The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation Z Wang, J Yang, C Fowlkes CVPR ABAW 2022 https://arxiv.org/abs/2205.00508, 2022 | 18 | 2022 |
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
