| R3net: Recurrent residual refinement network for saliency detection Z Deng, X Hu, L Zhu, X Xu, J Qin, G Han, PA Heng IJCAI, 2018, 684-690, 2018 | 465 | 2018 |
| Joint bi-layer optimization for single-image rain streak removal L Zhu, CW Fu, D Lischinski, PA Heng ICCV, 2017, 2526-2534, 2017 | 307 | 2017 |
| Depth-attentional features for single-image rain removal X Hu, CW Fu, L Zhu, PA Heng CVPR, 2019, 8022-8031, 2019 | 288 | 2019 |
| 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 (TMI), 2020 39 (5), 1483-1493, 2019 | 271 | 2019 |
| Direction-aware spatial context features for shadow detection X Hu, L Zhu, CW Fu, J Qin, PA Heng CVPR, 2018, 7454-7462, 2018 | 216 | 2018 |
| 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 ECCV, 2018, pp. 121–136, 2018 | 211 | 2018 |
| Direction-aware spatial context features for shadow detection and removal X Hu, CW Fu, L Zhu, J Qin, PA Heng IEEE TPAMI 42 (11), 2795-2808, 2019 | 166 | 2019 |
| Deep attentive features for prostate segmentation in 3d transrectal ultrasound Y Wang, H Dou, X Hu, L Zhu, X Yang, M Xu, J Qin, PA Heng, T Wang, ... IEEE Transactions on medical imaging (TMI), 2019 38 (12), 2768-2778, 2019 | 149 | 2019 |
| Recurrently Aggregating Deep Features for Salient Object Detection X Hu, L Zhu, J Qin, CW Fu, PA Heng AAAI, 2018, pp. 6943–6950, 2018 | 142 | 2018 |
| Deep Attentional Features for Prostate Segmentation in Ultrasound Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu, PA Heng, D Ni. MICCAI 2018, pp. 523–530, 2018 | 116 | 2018 |
| A multi-task mean teacher for semi-supervised shadow detection Z Chen, L Zhu, L Wan, S Wang, W Feng, PA Heng CVPR, 2020, 5611-5620, 2020 | 109 | 2020 |
| Deep Multi-Model Fusion for Single-Image Dehazing Z Deng, L Zhu, X Hu, CW Fu, X Xu, Q Zhang, J Qin, PA Heng ICCV, 2019, pp. 2453–2462, 2019 | 107 | 2019 |
| Boundary-Aware Transformers for Skin Lesion Segmentation J Wang, L Wei, L Wang, Q Zhou, L Zhu, J Qin MICCAI, 2021, 206-216, 2021 | 105 | 2021 |
| Global guidance network for breast lesion segmentation in ultrasound images C Xue, L Zhu, H Fu, X Hu, X Li, H Zhang, PA Heng Medical image analysis, 2021 70, 101989, 2021 | 100 | 2021 |
| High-quality exposure correction of underexposed photos Q Zhang, G Yuan, C Xiao, L Zhu, WS Zheng ACM MM, 2018, 582-590, 2018 | 98 | 2018 |
| Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge T Ross, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ... Medical image analysis 70, 101920, 2021 | 84* | 2021 |
| Multiscale geodesic active contours for ultrasound image segmentation using speckle reducing anisotropic diffusion W Wang, L Zhu, J Qin, YP Chui, BN Li, PA Heng Optics and Lasers in Engineering 54, 105-116, 2014 | 76 | 2014 |
| A non-local low-rank framework for ultrasound speckle reduction L Zhu, CW Fu, MS Brown, PA Heng CVPR, 2017, 5650-5658, 2017 | 73 | 2017 |
| SAC-Net: Spatial attenuation context for salient object detection X Hu, CW Fu, L Zhu, T Wang, PA Heng IEEE Transactions on Circuits and Systems for Video Technology 31 (3), 1079-1090, 2020 | 68 | 2020 |
| Fast Camouflaged Object Detection via Edge-based Reversible Recalibration Network GP Ji, L Zhu, M Zhuge, K Fu Pattern Recognition, 2021, 2021 | 66 | 2021 |
Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong KongEmail confirmado em cse.cuhk.edu.hk
