| PFCNN: Convolutional neural networks on 3D surfaces using parallel frames Y Yang, S Liu, H Pan, Y Liu, X Tong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| Swin3d: A pretrained transformer backbone for 3d indoor scene understanding YQ Yang, YX Guo, JY Xiong, Y Liu, H Pan, PS Wang, X Tong, B Guo arXiv preprint arXiv:2304.06906, 2023 | 77 | 2023 |
| Unsupervised 3d learning for shape analysis via multiresolution instance discrimination PS Wang, YQ Yang, QF Zou, Z Wu, Y Liu, X Tong Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2773-2781, 2021 | 48 | 2021 |
| Spline positional encoding for learning 3d implicit signed distance fields PS Wang, Y Liu, YQ Yang, X Tong arXiv preprint arXiv:2106.01553, 2021 | 26 | 2021 |
| Semi-supervised 3D shape segmentation with multilevel consistency and part substitution CY Sun, YQ Yang, HX Guo, PS Wang, X Tong, Y Liu, HY Shum Computational Visual Media 9 (2), 229-247, 2023 | 17 | 2023 |
| 3d feature prediction for masked-autoencoder-based point cloud pretraining S Yan, Y Yang, Y Guo, H Pan, P Wang, X Tong, Y Liu, Q Huang arXiv preprint arXiv:2304.06911, 2023 | 12 | 2023 |
| Interpolation-aware padding for 3d sparse convolutional neural networks YQ Yang, PS Wang, Y Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 4 | 2021 |
| Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding YQ Yang, YX Guo, Y Liu arXiv preprint arXiv:2402.14215, 2024 | 2 | 2024 |
Yang LiuPrincipal Researcher, Microsoft Research Asiamicrosoft.com의 이메일 확인됨