| Structure of 311 service requests as a signature of urban location L Wang, C Qian, P Kats, C Kontokosta, S Sobolevsky PloS one 12 (10), e0186314, 2017 | 67 | 2017 |
| DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification X Li, L Wang, M Wang, C Wen, Y Fang ISPRS Journal of Photogrammetry and Remote Sensing 166, 128-139, 2020 | 64 | 2020 |
| Unsupervised learning of 3D model reconstruction from hand-drawn sketches L Wang, C Qian, J Wang, Y Fang Proceedings of the 26th ACM international conference on Multimedia, 1820-1828, 2018 | 52 | 2018 |
| Non-rigid point set registration networks L Wang, J Chen, X Li, Y Fang arXiv preprint arXiv:1904.01428, 2019 | 51 | 2019 |
| 3densinet: A robust neural network architecture towards 3d volumetric object prediction from 2d image M Wang, L Wang, Y Fang Proceedings of the 25th ACM international conference on Multimedia, 961-969, 2017 | 34 | 2017 |
| Arbicon-net: Arbitrary continuous geometric transformation networks for image registration J Chen, L Wang, X Li, Y Fang Advances in neural information processing systems 32, 2019 | 32 | 2019 |
| Few-shot learning of part-specific probability space for 3D shape segmentation L Wang, X Li, Y Fang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 31 | 2020 |
| Coherent point drift networks: Unsupervised learning of non-rigid point set registration L Wang, X Li, J Chen, Y Fang arXiv preprint arXiv:1906.03039, 2019 | 30 | 2019 |
| PC-Net: Unsupervised point correspondence learning with neural networks X Li, L Wang, Y Fang 2019 international conference on 3D vision (3DV), 145-154, 2019 | 21 | 2019 |
| Geometry-aware segmentation of remote sensing images via joint height estimation X Li, C Wen, L Wang, Y Fang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 15 | 2021 |
| Unsupervised 3D reconstruction from a single image via adversarial learning L Wang, Y Fang arXiv preprint arXiv:1711.09312, 2017 | 14 | 2017 |
| Unsupervised learning of 3D point set registration L Wang, X Li, Y Fang arXiv preprint arXiv:2006.06200, 2020 | 13 | 2020 |
| Unsupervised category-specific partial point set registration via joint shape completion and registration X Li, L Wang, Y Fang IEEE Transactions on Visualization and Computer Graphics 29 (7), 3251-3265, 2022 | 12 | 2022 |
| 3D-MetaConNet: Meta-learning for 3D shape classification and segmentation H Huang, X Li, L Wang, Y Fang 2021 International Conference on 3D Vision (3DV), 982-991, 2021 | 11 | 2021 |
| Topology constrained shape correspondence X Li, C Wen, L Wang, Y Fang IEEE transactions on visualization and computer graphics 27 (10), 3926-3937, 2020 | 11 | 2020 |
| Unsupervised partial point set registration via joint shape completion and registration X Li, L Wang, Y Fang arXiv preprint arXiv:2009.05290, 2020 | 8 | 2020 |
| 3d meta-registration: Learning to learn registration of 3d point clouds L Wang, Y Hao, X Li, Y Fang arXiv preprint arXiv:2010.11504, 2020 | 5 | 2020 |
| Robust image matching by dynamic feature selection H Huang, J Chen, X Li, L Wang, Y Fang British Machine Vision Conference (BMVC), 2020, 2020 | 4 | 2020 |
| Geometry-aware segmentation of remote sensing images via implicit height estimation X Li, L Wang, Y Fang arXiv preprint arXiv:2006.05848, 2020 | 4 | 2020 |
| Gp-aligner: unsupervised groupwise nonrigid point set registration based on optimizable group latent descriptor L Wang, N Zhou, H Huang, J Wang, X Li, Y Fang IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 3 | 2022 |
