| Whole-body human pose estimation in the wild S Jin, L Xu, J Xu, C Wang, W Liu, C Qian, W Ouyang, P Luo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 320 | 2020 |
| Human pose regression with residual log-likelihood estimation J Li, S Bian, A Zeng, C Wang, B Pang, W Liu, C Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 254 | 2021 |
| Differentiable hierarchical graph grouping for multi-person pose estimation S Jin, W Liu, E Xie, W Wang, C Qian, W Ouyang, P Luo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 155 | 2020 |
| Not all tokens are equal: Human-centric visual analysis via token clustering transformer W Zeng, S Jin, W Liu, C Qian, P Luo, W Ouyang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 153 | 2022 |
| Weakly-supervised discovery of geometry-aware representation for 3d human pose estimation X Chen, KY Lin, W Liu, C Qian, L Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 140 | 2019 |
| Smap: Single-shot multi-person absolute 3d pose estimation J Zhen, Q Fang, J Sun, W Liu, W Jiang, H Bao, X Zhou Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 122 | 2020 |
| 3d human mesh regression with dense correspondence W Zeng, W Ouyang, P Luo, W Liu, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 121 | 2020 |
| Omni-sourced webly-supervised learning for video recognition H Duan, Y Zhao, Y Xiong, W Liu, D Lin European conference on computer vision, 670-688, 2020 | 116 | 2020 |
| Aligning bag of regions for open-vocabulary object detection S Wu, W Zhang, S Jin, W Liu, CC Loy Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 114 | 2023 |
| Multi-person articulated tracking with spatial and temporal embeddings S Jin, W Liu, W Ouyang, C Qian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 94 | 2019 |
| Person search in videos with one portrait through visual and temporal links Q Huang, W Liu, D Lin Proceedings of the European conference on computer vision (ECCV), 425-441, 2018 | 77 | 2018 |
| When human pose estimation meets robustness: Adversarial algorithms and benchmarks J Wang, S Jin, W Liu, W Liu, C Qian, P Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 73 | 2021 |
| Hmor: Hierarchical multi-person ordinal relations for monocular multi-person 3d pose estimation C Wang, J Li, W Liu, C Qian, C Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 71 | 2020 |
| Vipnas: Efficient video pose estimation via neural architecture search L Xu, Y Guan, S Jin, W Liu, C Qian, P Luo, W Ouyang, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 70 | 2021 |
| Drpose3d: Depth ranking in 3d human pose estimation M Wang, X Chen, W Liu, C Qian, L Lin, L Ma arXiv preprint arXiv:1805.08973, 2018 | 70 | 2018 |
| Towards multi-person pose tracking: Bottom-up and top-down methods S Jin, X Ma, Z Han, Y Wu, W Yang, W Liu, C Qian, W Ouyang ICCV Posetrack workshop 2 (3), 7, 2017 | 64 | 2017 |
| Graph-based 3d multi-person pose estimation using multi-view images S Wu, S Jin, W Liu, L Bai, C Qian, D Liu, W Ouyang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 62 | 2021 |
| Clipself: Vision transformer distills itself for open-vocabulary dense prediction S Wu, W Zhang, L Xu, S Jin, X Li, W Liu, CC Loy arXiv preprint arXiv:2310.01403, 2023 | 52 | 2023 |
| A cascaded inception of inception network with attention modulated feature fusion for human pose estimation W Liu, J Chen, C Li, C Qian, X Chu, X Hu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 47 | 2018 |
| 3d interacting hand pose estimation by hand de-occlusion and removal H Meng, S Jin, W Liu, C Qian, M Lin, W Ouyang, P Luo European Conference on Computer Vision, 380-397, 2022 | 46 | 2022 |
Chen QianTsinghua Univeristyبريد إلكتروني تم التحقق منه على mails.tsinghua.edu.cn