| Robust point cloud registration framework based on deep graph matching K Fu, S Liu, X Luo, M Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 212 | 2021 |
| Stereo correspondence and reconstruction of endoscopic data challenge M Allan, J Mcleod, C Wang, JC Rosenthal, Z Hu, N Gard, P Eisert, KX Fu, ... arXiv preprint arXiv:2101.01133, 2021 | 120 | 2021 |
| Dspoint: Dual-scale point cloud recognition with high-frequency fusion R Zhang, Z Zeng, Z Guo, X Gao, K Fu, J Shi arXiv preprint arXiv:2111.10332, 2021 | 25 | 2021 |
| Pos-bert: Point cloud one-stage bert pre-training K Fu, P Gao, SL Liu, L Qu, L Gao, M Wang Expert Systems with Applications 240, 122563, 2024 | 21 | 2024 |
| Distillation with contrast is all you need for self-supervised point cloud representation learning K Fu, P Gao, R Zhang, H Li, Y Qiao, M Wang arXiv preprint arXiv:2202.04241, 2022 | 19 | 2022 |
| A learnable self-supervised task for unsupervised domain adaptation on point clouds X Luo, S Liu, K Fu, M Wang, Z Song arXiv preprint arXiv:2104.05164, 2021 | 18 | 2021 |
| Multi-view partial (mvp) point cloud challenge 2021 on completion and registration: Methods and results L Pan, T Wu, Z Cai, Z Liu, X Yu, Y Rao, J Lu, J Zhou, M Xu, X Luo, K Fu, ... arXiv preprint arXiv:2112.12053, 2021 | 10 | 2021 |
| Boosting 3D point cloud registration by transferring multi-modality knowledge M Yuan, X Huang, K Fu, Z Li, M Wang 2023 IEEE International Conference on Robotics and Automation (ICRA), 11734 …, 2023 | 9 | 2023 |
| The rise of ai language pathologists: Exploring two-level prompt learning for few-shot weakly-supervised whole slide image classification L Qu, K Fu, M Wang, Z Song Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation S Liu, X Luo, K Fu, M Wang, Z Song Frontiers of Computer Science 17 (6), 176708, 2023 | 8 | 2023 |
| Pointmbf: A multi-scale bidirectional fusion network for unsupervised rgb-d point cloud registration M Yuan, K Fu, Z Li, Y Meng, M Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Group-in-group relation-based transformer for 3d point cloud learning S Liu, K Fu, M Wang, Z Song Remote Sensing 14 (7), 1563, 2022 | 8 | 2022 |
| Robust point cloud registration framework based on deep graph matching. 2021 IEEE K Fu, S Liu, X Luo, M Wang CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8889-8898, 2021 | 8 | 2021 |
| Decoupled deep hough voting for point cloud registration M Yuan, K Fu, Z Li, M Wang Frontiers of Computer Science 18 (2), 182703, 2024 | 6 | 2024 |
| Boosting point-bert by multi-choice tokens K Fu, M Yuan, S Liu, M Wang IEEE Transactions on Circuits and Systems for Video Technology 34 (1), 438-447, 2023 | 6 | 2023 |
| ProteinMAE: masked autoencoder for protein surface self-supervised learning M Yuan, A Shen, K Fu, J Guan, Y Ma, Q Qiao, M Wang Bioinformatics 39 (12), btad724, 2023 | 5 | 2023 |
| Deep graph matching based dense correspondence learning between non-rigid point clouds J Luo, M Yuan, K Fu, M Wang, C Zhang IEEE Robotics and Automation Letters 7 (3), 5842-5849, 2022 | 5 | 2022 |
| Global registration of 3d cerebral vessels to its 2d projections by a new branch-and-bound algorithm K Fu, Y Liu, M Wang IEEE Transactions on Medical Robotics and Bionics 3 (1), 115-124, 2021 | 5 | 2021 |
| Separate and conquer: Decoupling co-occurrence via decomposition and representation for weakly supervised semantic segmentation Z Yang, K Fu, M Duan, L Qu, S Wang, Z Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Dual-branch deep point cloud registration framework for unconstrained rotation K Fu, Z Li, M Xu, X Luo, M Wang IEEE Transactions on Industrial Informatics 19 (7), 7851-7861, 2022 | 3 | 2022 |
manning wangDigital Medical Research Center, Fudan University在 fudan.edu.cn 的电子邮件经过验证
