| H-denseUNet: Hybrid densely connected U-Net for liver and tumor segmentation from CT volumes X Li, H Chen, X Qi, Q Dou, CW Fu, PA Heng IEEE transactions on medical imaging 37 (12), 2663-2674, 2018 | 2471 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1271 | 2023 |
| Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation L Yu, S Wang, X Li, CW Fu, PA Heng Medical image computing and computer assisted intervention–MICCAI 2019: 22nd …, 2019 | 952 | 2019 |
| Underexposed photo enhancement using deep illumination estimation R Wang, Q Zhang, CW Fu, X Shen, WS Zheng, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 950 | 2019 |
| PointWeb: Enhancing local neighborhood features for point cloud processing H Zhao, L Jiang, CW Fu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 877 | 2019 |
| 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 | 703 | 2018 |
| Transformation-consistent self-ensembling model for semisupervised medical image segmentation X Li, L Yu, H Chen, CW Fu, L Xing, PA Heng IEEE transactions on neural networks and learning systems 32 (2), 523-534, 2020 | 489 | 2020 |
| PointGroup: Dual-set point grouping for 3D instance segmentation L Jiang, H Zhao, S Shi, S Liu, CW Fu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 477 | 2020 |
| PU-GAN: A point cloud upsampling adversarial network R Li, X Li, CW Fu, D Cohen-Or, PA Heng Proceedings of the IEEE International Conference on Computer Vision, 7203-7212, 2019 | 469 | 2019 |
| Direction-aware spatial context features for shadow detection and removal X Hu, CW Fu, L Zhu, J Qin, PA Heng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 455* | 2018 |
| SE-SSD: Self-ensembling single-stage object detector from point cloud W Zheng, W Tang, L Jiang, CW Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 420 | 2021 |
| CANet: cross-disease attention network for joint diabetic retinopathy and diabetic macular edema grading X Li, X Hu, L Yu, L Zhu, CW Fu, PA Heng IEEE transactions on medical imaging 39 (5), 1483-1493, 2019 | 390 | 2019 |
| Depth-attentional features for single-image rain removal X Hu, CW Fu, L Zhu, PA Heng Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019 | 376 | 2019 |
| Joint Bi-Layer Optimization for Single-Image Rain Streak Removal L Zhu, CW Fu, D Lischinski, PA Heng Proceedings of the International Conference on Computer Vision, 2526-2534, 2017 | 358 | 2017 |
| CIA-SSD: Confident IoU-aware single-stage object detector from point cloud W Zheng, W Tang, S Chen, L Jiang, CW Fu Proceedings of the AAAI conference on artificial intelligence 35 (4), 3555-3562, 2021 | 337 | 2021 |
| Solid texture synthesis from 2D exemplars J Kopf, CW Fu, D Cohen-Or, O Deussen, D Lischinski, TT Wong ACM SIGGRAPH 2007 papers, 2-es, 2007 | 336 | 2007 |
| SNR-aware low-light image enhancement X Xu, R Wang, CW Fu, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 322 | 2022 |
| 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 | 307 | 2018 |
| SV-RCNet: workflow recognition from surgical videos using recurrent convolutional network Y Jin, Q Dou, H Chen, L Yu, J Qin, CW Fu, PA Heng IEEE transactions on medical imaging 37 (5), 1114-1126, 2017 | 287 | 2017 |
| Bidirectional feature pyramid network with recurrent attention residual modules for shadow detection L Zhu, Z Deng, X Hu, CW Fu, X Xu, J Qin, PA Heng Proceedings of the European Conference on Computer Vision (ECCV), 121-136, 2018 | 278 | 2018 |
Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的電子郵件地址已通過驗證
