| View-gcn: View-based graph convolutional network for 3d shape analysis X Wei, R Yu, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 351 | 2020 |
| Deep positional and relational feature learning for rotation-invariant point cloud analysis R Yu, X Wei, F Tombari, J Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 44 | 2020 |
| Learning view-based graph convolutional network for multi-view 3D shape analysis X Wei, R Yu, J Sun IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7525-7541, 2022 | 35 | 2022 |
| Learning canonical view representation for 3d shape recognition with arbitrary views X Wei, Y Gong, F Wang, X Sun, J Sun Proceedings of the IEEE/CVF International Conference on Computer Vision, 407-416, 2021 | 22 | 2021 |
| Learning generalizable part-based feature representation for 3d point clouds X Wei, X Gu, J Sun Advances in Neural Information Processing Systems 35, 29305-29318, 2022 | 17 | 2022 |
| A noising-denoising framework for point cloud upsampling via normalizing flows X Hu, X Wei, J Sun Pattern Recognition 140, 109569, 2023 | 11 | 2023 |
| Multi-scale Part-based Feature Representation for 3D Domain Generalization and Adaptation X Wei, X Gu, J Sun IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
