| R3Net: Recurrent Residual Refinement Network for Saliency Detection Z Deng, X Hu, L Zhu, X Xu, J Qin, G Han, PA Heng International Joint Conference on Artificial Intelligence (IJCAI), 684-690, 2018 | 392 | 2018 |
| SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection X Hu, X Xu, Y Xiao, H Chen, S He, J Qin, PA Heng IEEE Transactions on Intelligent Transportation Systems 20 (3), 1010-1019, 2019 | 223 | 2019 |
| Depth-Attentional Features for Single-Image Rain Removal X Hu, CW Fu, L Zhu, PA Heng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8022-8031, 2019 | 213 | 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 39 (5), 1483-1493, 2019 | 186 | 2019 |
| Direction-aware spatial context features for shadow detection X Hu, L Zhu, CW Fu, J Qin, PA Heng IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7454-7462, 2018 | 168 | 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 European Conference on Computer Vision (ECCV), 121-136, 2018 | 162 | 2018 |
| Recurrently Aggregating Deep Features for Salient Object Detection X Hu, L Zhu, J Qin, CW Fu, PA Heng AAAI Conference on Artificial Intelligence (AAAI), 6943-6950, 2018 | 132 | 2018 |
| 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 42 (11), 2795 …, 2020 | 124 | 2020 |
| 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 38 (12), 2768-2778, 2019 | 116 | 2019 |
| Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data X Hu, Y Jiang, CW Fu, PA Heng IEEE International Conference on Computer Vision (ICCV), 2472-2481, 2019 | 110 | 2019 |
| Deep attentional features for prostate segmentation in ultrasound Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu, PA Heng, D Ni International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 99 | 2018 |
| Deep Multi-Model Fusion for Single-Image Dehazing Z Deng, L Zhu, X Hu, CW Fu, X Xu, Q Zhang, J Qin, PA Heng IEEE International Conference on Computer Vision (ICCV), 2453-2462, 2019 | 89 | 2019 |
| CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical Image Analysis 52, 24-41, 2019 | 79 | 2019 |
| 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 70, 101989, 2021 | 60 | 2021 |
| 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, 2020 | 48 | 2020 |
| Instance shadow detection T Wang, X Hu, Q Wang, PA Heng, CW Fu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1880-1889, 2020 | 48 | 2020 |
| Aggregating Attentional Dilated Features for Salient Object Detection L Zhu, J Chen, X Hu, CW Fu, X Xu, J Qin, PA Heng IEEE Transactions on Circuits and Systems for Video Technology 30 (10), 3358 …, 2020 | 39 | 2020 |
| Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection X Yan, H Zhang, X Xu, X Hu, PA Heng AAAI Conference on Artificial Intelligence (AAAI) 35 (4), 3110-3118, 2021 | 38 | 2021 |
| Rotation-oriented collaborative self-supervised learning for retinal disease diagnosis X Li, X Hu, X Qi, L Yu, W Zhao, PA Heng, L Xing IEEE Transactions on Medical Imaging 40 (9), 2284-2294, 2021 | 33 | 2021 |
| Revisiting Shadow Detection: A New Benchmark Dataset for Complex World X Hu, T Wang, CW Fu, Y Jiang, Q Wang, PA Heng IEEE Transactions on Image Processing 30, 1925 - 1934, 2021 | 31 | 2021 |
Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
