| Crowdpose: Efficient crowded scenes pose estimation and a new benchmark J Li, C Wang, H Zhu, Y Mao, HS Fang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 664 | 2019 |
| Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time HS Fang, J Li, H Tang, C Xu, H Zhu, Y Xiu, YL Li, C Lu IEEE transactions on pattern analysis and machine intelligence 45 (6), 7157-7173, 2022 | 553 | 2022 |
| Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation J Li, C Xu, Z Chen, S Bian, L Yang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 433 | 2021 |
| Pose Flow: Efficient Online Pose Tracking Y Xiu, J Li, H Wang, Y Fang, C Lu British Machine Vision Conference, 2018 | 433 | 2018 |
| 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 | 256 | 2021 |
| Detailed 2d-3d joint representation for human-object interaction YL Li, X Liu, H Lu, S Wang, J Liu, J Li, C Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 169 | 2020 |
| Cpf: Learning a contact potential field to model the hand-object interaction L Yang, X Zhan, K Li, W Xu, J Li, C Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 126 | 2021 |
| Hmor: Hierarchical multi-person ordinal relations for monocular multi-person 3d pose estimation J Li, C Wang, W Liu, C Qian, C Lu arXiv preprint arXiv:2008.00206, 2020 | 92* | 2020 |
| Artiboost: Boosting articulated 3d hand-object pose estimation via online exploration and synthesis L Yang, K Li, X Zhan, J Lv, W Xu, J Li, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 86 | 2022 |
| Smoothnet: A plug-and-play network for refining human poses in videos A Zeng, L Yang, X Ju, J Li, J Wang, Q Xu European Conference on Computer Vision, 625-642, 2022 | 79 | 2022 |
| NIKI: Neural inverse kinematics with invertible neural networks for 3d human pose and shape estimation J Li, S Bian, Q Liu, J Tang, F Wang, C Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 61 | 2023 |
| D &d: Learning human dynamics from dynamic camera J Li, S Bian, C Xu, G Liu, G Yu, C Lu European Conference on Computer Vision, 479-496, 2022 | 40 | 2022 |
| Constructing balance from imbalance for long-tailed image recognition Y Xu, YL Li, J Li, C Lu European Conference on Computer Vision, 38-56, 2022 | 40 | 2022 |
| Hybrik-x: Hybrid analytical-neural inverse kinematics for whole-body mesh recovery J Li, S Bian, C Xu, Z Chen, L Yang, C Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 39 | 2025 |
| Localization with sampling-argmax J Li, T Chen, R Shi, Y Lou, YL Li, C Lu Advances in Neural Information Processing Systems 34, 27236-27248, 2021 | 27 | 2021 |
| Learning analytical posterior probability for human mesh recovery Q Fang, K Chen, Y Fan, Q Shuai, J Li, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Pseudo View Representation Learning for Monocular RGB-D Human Pose and Shape Estimation A Zhu, J Li, C Lu IEEE Signal Processing Letters, 2021 | 24 | 2021 |
| Denoising vision transformers J Yang, KZ Luo, J Li, C Deng, L Guibas, D Krishnan, KQ Weinberger, ... European Conference on Computer Vision, 453-469, 2024 | 13 | 2024 |
| Tdaf: Top-down attention framework for vision tasks B Pang, Y Li, J Li, M Li, H Cao, C Lu Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2384-2392, 2021 | 12 | 2021 |
| Unsupervised representation for semantic segmentation by implicit cycle-attention contrastive learning B Pang, Y Li, Y Zhang, G Peng, J Tang, K Zha, J Li, C Lu Proceedings of the AAAI conference on artificial intelligence 36 (2), 2044-2052, 2022 | 11 | 2022 |
cewu luProfessor of Shanghai Jiao Tong UniversityE-mail megerősítve itt: cs.stanford.edu