| Point-bert: Pre-training 3d point cloud transformers with masked point modeling X Yu, L Tang, Y Rao, T Huang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 738 | 2022 |
| Adapointr: Diverse point cloud completion with adaptive geometry-aware transformers X Yu, Y Rao, Z Wang, J Lu, J Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 554* | 2023 |
| Pointr: Diverse point cloud completion with geometry-aware transformers X Yu, Y Rao, Z Wang, Z Liu, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 554 | 2021 |
| Group-aware contrastive regression for action quality assessment X Yu, Y Rao, W Zhao, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 111 | 2021 |
| Finediving: A fine-grained dataset for procedure-aware action quality assessment J Xu, Y Rao, X Yu, G Chen, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 101 | 2022 |
| P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting Z Wang, X Yu, Y Rao, J Zhou, J Lu Advances in neural information processing systems 35, 14388-14402, 2022 | 96 | 2022 |
| Graph interaction networks for relation transfer in human activity videos Y Tang, Y Wei, X Yu, J Lu, J Zhou IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 2872-2886, 2020 | 39 | 2020 |
| Learning from temporal spatial cubism for cross-dataset skeleton-based action recognition Y Tang, X Liu, X Yu, D Zhang, J Lu, J Zhou ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 21 | 2022 |
| Take-a-photo: 3d-to-2d generative pre-training of point cloud models Z Wang, X Yu, Y Rao, J Zhou, J Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 20 | 2023 |
| Semaffinet: Semantic-affine transformation for point cloud segmentation Z Wang, Y Rao, X Yu, J Zhou, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Multi-view partial (mvp) point cloud challenge 2021 on completion and registration: Methods and results L Pan, T Wu, Z Cai, Z Liu, X Yu, Y Rao, J Lu, J Zhou, M Xu, X Luo, K Fu, ... arXiv preprint arXiv:2112.12053, 2021 | 13 | 2021 |
| Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration Z Qin, J Chen, Z Jiang, X Yu, C Hu, Y Ma, S Miao, R Zhou Scientific Reports 10 (1), 21947, 2020 | 11 | 2020 |
| Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models Z Wang, Y Rao, X Yu, J Zhou, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 7 | 2024 |
| Pre-training 3d point cloud transformers with masked point modeling. 2022 IEEE X Yu, L Tang, Y Rao, T Huang, J Zhou CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19291-19300, 2021 | 7 | 2021 |
| FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner W Zhao, M Shi, X Yu, J Zhou, J Lu arXiv preprint arXiv:2409.18128, 2024 | 3 | 2024 |
| ProtoComp: Diverse Point Cloud Completion with Controllable Prototype X Yu, Y Wang, J Zhou, J Lu European Conference on Computer Vision, 270-286, 2025 | | 2025 |
| XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation Z Wang, Y Wang, X Yu, J Zhou, J Lu arXiv preprint arXiv:2411.13243, 2024 | | 2024 |
Jie ZhouProfessor, Department of Automation, Tsinghua UniversityПотвърден имейл адрес: tsinghua.edu.cn