| 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 | 261 | 2020 |
| DRCNN: Dynamic routing convolutional neural network for multi-view 3D object recognition K Sun, J Zhang, J Liu, R Yu, Z Song IEEE Transactions on Image Processing 30, 868-877, 2020 | 41 | 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 | 28 | 2020 |
| Surface reconstruction from unorganized points with l0 gradient minimization H Li, Y Li, R Yu, J Sun, J Kim Computer Vision and Image Understanding 169, 108-118, 2018 | 16 | 2018 |
| 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, 2022 | 11 | 2022 |
| Second-order spectral transform block for 3D shape classification and retrieval R Yu, J Sun, H Li IEEE Transactions on Image Processing 29, 4530-4543, 2020 | 7 | 2020 |
| Learning spectral transform network on 3d surface for non-rigid shape analysis R Yu, J Sun, H Li Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 3 | 2018 |
| Learning polynomial-based separable convolution for 3d point cloud analysis R Yu, J Sun Sensors 21 (12), 4211, 2021 | 2 | 2021 |
| Hrge-net: Hierarchical relational graph embedding network for multi-view 3d shape recognition X Wei, R Yu, J Sun arXiv preprint arXiv:1908.10098, 2019 | 2 | 2019 |
