| 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 | 134 | 2021 |
| 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 | 122 | 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 | 109 | 2020 |
| 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 | 79 | 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 | 69 | 2021 |
| Scaled relu matters for training vision transformers P Wang, X Wang, H Luo, J Zhou, Z Zhou, F Wang, H Li, R Jin Proceedings of the AAAI conference on artificial intelligence 36 (3), 2495-2503, 2022 | 45 | 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 Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2269-2276, 2021 | 39 | 2021 |
| Cot: Unsupervised domain adaptation with clustering and optimal transport Y Liu, Z Zhou, B Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 37 | 2023 |
| 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 | 36 | 2022 |
| 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 | 35 | 2021 |
| 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 | 33 | 2022 |
| Costformer: Cost transformer for cost aggregation in multi-view stereo W Chen, H Xu, Z Zhou, Y Liu, B Sun, W Kang, X Xie arXiv preprint arXiv:2305.10320, 2023 | 14 | 2023 |
| 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 | 14 | 2021 |
| CP-Net: contour-perturbed reconstruction network for self-supervised point cloud learning M Xu, Z Zhou, H Xu, Y Qiao, Y Wang IEEE Transactions on Multimedia, 2024 | 10 | 2024 |
| 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 | 8 | 2021 |
| Conformal metric sequences with integral-bounded scalar curvature Y Li, Z Zhou Mathematische Zeitschrift 295 (3), 1443-1473, 2020 | 8 | 2020 |
| PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering Z Chen, H Xu, W Chen, Z Zhou, H Xiao, B Sun, X Xie Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| Semi-supervised deep multi-view stereo H Xu, W Chen, Y Liu, Z Zhou, H Xiao, B Sun, X Xie, W Kang Proceedings of the 31st ACM International Conference on Multimedia, 4616-4625, 2023 | 6 | 2023 |
| John–Nirenberg radius and collapsing in conformal geometry Y Li, G Wei, Z Zhou Asian Journal of Mathematics 24 (5), 759-782, 2020 | 4 | 2020 |
| Rethinking the zigzag flattening for image reading Q Zhao, Z Zhou, S Dou, Y Li, R Lu, Y Wang, C Zhao arXiv preprint arXiv:2202.10240 7, 2022 | 2 | 2022 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα siat.ac.cn
