| Pu-net: Point cloud upsampling network L Yu, X Li, CW Fu, D Cohen-Or, PA Heng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 452 | 2018 |
| Pu-gan: a point cloud upsampling adversarial network R Li, X Li, CW Fu, D Cohen-Or, PA Heng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 289 | 2019 |
| Ec-net: an edge-aware point set consolidation network L Yu, X Li, CW Fu, D Cohen-Or, PA Heng Proceedings of the European conference on computer vision (ECCV), 386-402, 2018 | 206 | 2018 |
| Pointaugment: an auto-augmentation framework for point cloud classification R Li, X Li, PA Heng, CW Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 107 | 2020 |
| Attention GANs: Unsupervised deep feature learning for aerial scene classification Y Yu, X Li, F Liu IEEE Transactions on Geoscience and Remote Sensing 58 (1), 519-531, 2019 | 86 | 2019 |
| Point cloud upsampling via disentangled refinement R Li, X Li, PA Heng, CW Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 72 | 2021 |
| Deep floor plan recognition using a multi-task network with room-boundary-guided attention Z Zeng, X Li, YK Yu, CW Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 72 | 2019 |
| A rotation-invariant framework for deep point cloud analysis X Li, R Li, G Chen, CW Fu, D Cohen-Or, PA Heng IEEE Transactions on Visualization and Computer Graphics 28 (12), 4503-4514, 2021 | 64 | 2021 |
| SP-GAN: Sphere-guided 3D shape generation and manipulation R Li, X Li, KH Hui, CW Fu ACM Transactions on Graphics (TOG) 40 (4), 1-12, 2021 | 60 | 2021 |
| NonLocal LowRank Normal Filtering for Mesh Denoising X Li, L Zhu, CW Fu, PA Heng Computer Graphics Forum 37 (7), 155-166, 2018 | 38 | 2018 |
| DNF-Net: A deep normal filtering network for mesh denoising X Li, R Li, L Zhu, CW Fu, PA Heng IEEE Transactions on Visualization and Computer Graphics 27 (10), 4060-4072, 2020 | 27 | 2020 |
| Repcd-net: Feature-aware recurrent point cloud denoising network H Chen, Z Wei, X Li, Y Xu, M Wei, J Wang International Journal of Computer Vision 130 (3), 615-629, 2022 | 18 | 2022 |
| Data fusion for intelligent crowd monitoring and management systems: A survey X Li, Q Yu, B Alzahrani, A Barnawi, A Alhindi, D Alghazzawi, Y Miao IEEE Access 9, 47069-47083, 2021 | 15 | 2021 |
| E-DBPN: Enhanced deep back-projection networks for remote sensing scene image superresolution Y Yu, X Li, F Liu IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5503-5515, 2020 | 15 | 2020 |
| Unsupervised detection of distinctive regions on 3D shapes X Li, L Yu, CW Fu, D Cohen-Or, PA Heng ACM Transactions on Graphics (TOG) 39 (5), 1-14, 2020 | 14 | 2020 |
| A sim-to-real object recognition and localization framework for industrial robotic bin picking X Li, R Cao, Y Feng, K Chen, B Yang, CW Fu, Y Li, Q Dou, YH Liu, ... IEEE Robotics and Automation Letters 7 (2), 3961-3968, 2022 | 13 | 2022 |
| PU-GAN: A point cloud upsampling adversarial network. In 2019 IEEE R Li, X Li, CW Fu, D Cohen-Or, PA Heng CVF International Conference on Computer Vision, ICCV, 7202-7211, 2019 | 7 | 2019 |
| Non-local part-aware point cloud denoising C Huang, R Li, X Li, CW Fu arXiv preprint arXiv:2003.06631, 2020 | 6 | 2020 |
| Explore more guidance: A task-aware instruction network for sign language translation enhanced with data augmentation Y Cao, W Li, X Li, M Chen, G Chen, L Hu, Z Li, H Kai arXiv preprint arXiv:2204.05953, 2022 | 4 | 2022 |
| Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking Y Feng, B Yang, X Li, CW Fu, R Cao, K Chen, Q Dou, M Wei, YH Liu, ... 2022 International Conference on Robotics and Automation (ICRA), 405-411, 2022 | 2 | 2022 |
Chi-Wing Fu, PhilipThe Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
