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 | 436 | 2021 |
Pv-raft: Point-voxel correlation fields for scene flow estimation of point clouds Y Wei, Z Wang, Y Rao, J Lu, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 99 | 2021 |
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 | 74 | 2022 |
Towards interpretable deep metric learning with structural matching W Zhao, Y Rao, Z Wang, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 54 | 2021 |
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 | 14 | 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 | 10 | 2023 |
3d point-voxel correlation fields for scene flow estimation Z Wang, Y Wei, Y Rao, J Zhou, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 7 | 2023 |
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 | 3 | 2024 |
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 | | 2023 |