| Smallbignet: Integrating core and contextual views for video classification X Li, Y Wang, Z Zhou, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 44 | 2020 |
| Geometry sharing network for 3d point cloud classification and segmentation M Xu, Z Zhou, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12500 …, 2020 | 37 | 2020 |
| Learning geometry-disentangled representation for complementary understanding of 3d object point cloud M Xu, J Zhang, Z Zhou, M Xu, X Qi, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3056-3064, 2021 | 22 | 2021 |
| Self-supervised multi-view stereo via effective co-segmentation and data-augmentation H Xu, Z Zhou, Y Qiao, W Kang, Q Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3030-3038, 2021 | 10 | 2021 |
| Digging into uncertainty in self-supervised multi-view stereo H Xu, Z Zhou, Y Wang, W Kang, B Sun, H Li, Y Qiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| Conformal metric sequences with integral-bounded scalar curvature Y Li, Z Zhou Mathematische Zeitschrift 295 (3), 1443-1473, 2020 | 6 | 2020 |
| An efficient training approach for very large scale face recognition K Wang, S Wang, P Zhang, Z Zhou, Z Zhu, X Wang, X Peng, B Sun, H Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| Scaled relu matters for training vision transformers P Wang, X Wang, H Luo, J Zhou, Z Zhou, F Wang, H Li, R Jin arXiv preprint arXiv:2109.03810 2 (5), 2021 | 4 | 2021 |
| 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 Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2269-2276, 2021 | 4 | 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 | 2 | 2021 |
| Investigate indistinguishable points in semantic segmentation of 3d point cloud M Xu, Z Zhou, J Zhang, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3047-3055, 2021 | 2 | 2021 |
| Reinforcement learning for orientation estimation using inertial sensors with performance guarantee L Hu, Y Tang, Z Zhou, W Pan 2021 IEEE International Conference on Robotics and Automation (ICRA), 10243 …, 2021 | 1 | 2021 |
| John-Nirenberg Radius and collapse in conformal geometry Y Li, G Wei, Z Zhou arXiv preprint arXiv:1708.02176, 2017 | 1 | 2017 |
| CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning M Xu, Z Zhou, H Xu, Y Wang, Y Qiao arXiv preprint arXiv:2201.08215, 2022 | | 2022 |
| MogFace: Towards a Deeper Appreciation on Face Detection Y Liu, F Wang, J Deng, Z Zhou, B Sun, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | | 2022 |
| Unsupervised Domain Adaptation By Optimal Transportation Of Clusters Between Domains Y Liu, Z Zhou, L Shang, B Sun, H Li, R Jin | | 2021 |
| Reinforcement Learning for Control with Probabilistic Stability Guarantee M Han, Z Zhou, L Zhang, J Wang, W Pan | | 2020 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, Chinese Academy of在 siat.ac.cn 的电子邮件经过验证
