| JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation YH Wu, SH Gao, J Mei, J Xu, DP Fan, RG Zhang, MM Cheng IEEE Transactions on Image Processing, Pytorch Code: https://github.com …, 2021 | 533 | 2021 |
| Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising J Xu, L Zhang, WM Zuo, D Zhang, XC Feng Proceedings of the IEEE International Conference on Computer Vision, Code …, 2015 | 466 | 2015 |
| Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising J Xu, L Zhang, D Zhang, X Feng Proceedings of the IEEE International Conference on Computer Vision, Code …, 2017 | 348 | 2017 |
| A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising J Xu, L Zhang, D Zhang Proceedings of the European Conference on Computer Vision, Code: https …, 2018 | 301 | 2018 |
| Star: A structure and texture aware retinex model J Xu, Y Hou, D Ren, L Liu, F Zhu, M Yu, H Wang, L Shao IEEE Transactions on Image Processing, Matlab Code: https://github.com …, 2020 | 285 | 2020 |
| Ranet: Ranking attention network for fast video object segmentation Z Wang, J Xu, L Liu, F Zhu, L Shao Proceedings of the IEEE International Conference on Computer Vision, Code …, 2019 | 265 | 2019 |
| Real-world Noisy Image Denoising: A New Benchmark J Xu, H Li, Z Liang, D Zhang, L Zhang https://arxiv.org/abs/1804.02603 Dataset & Code: https://github.com/csjunxu …, 2018 | 258 | 2018 |
| Deep Hough Transform for Semantic Line Detection K Zhao, Q Han, CB Zhang, J Xu, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 232 | 2021 |
| Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image J Xu, Y Huang, MM Cheng, L Liu, F Zhu, Z Xu, L Shao IEEE Transactions on Image Processing 29, 9316-9329, 2020 | 224 | 2020 |
| Bilateral Attention Network for RGB-D Salient Object Detection Z Zhang, Z Lin, J Xu, WD Jin, SP Lu, DP Fan IEEE Transactions on Image Processing, Code: https://github.com/zzhanghub …, 2021 | 201 | 2021 |
| Learning to Learn with Variational Information Bottleneck for Domain Generalization Y Du, J Xu, H Xiong, Q Qiu, X Zhen, C Snoek, L Shao Proceedings of the European Conference on Computer Vision, 2020 | 179 | 2020 |
| A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping Z Liang, J Xu, D Zhang, Z Cao, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 171 | 2018 |
| CDNet: Complementary Depth Network for RGB-D Salient Object Detection WD Jin, J Xu, Q Han, Y Zhang, MM Cheng IEEE Transactions on Image Processing, Pytorch Code: https://github.com …, 2021 | 160 | 2021 |
| MobileSal: Extremely Efficient RGB-D Salient Object Detection YH Wu, Y Liu, J Xu, J Bian, Y Gu, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 155 | 2021 |
| A PID Controller Approach for Stochastic Optimization of Deep Networks W An, H Wang, Q Sun, J Xu, Q Dai, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 153 | 2018 |
| External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising J Xu, L Zhang, D Zhang IEEE Transactions on Image Processing, Matlab Code: https://github.com …, 2018 | 151 | 2018 |
| Sparse, collaborative, or nonnegative representation: which helps pattern classification? J Xu, W An, L Zhang, D Zhang Pattern Recognition 88, 679-688, 2019 | 145 | 2019 |
| Gradient-Induced Co-Saliency Detection Z Zhang, WD Jin, J Xu, MM Cheng Proceedings of the European Conference on Computer Vision, Code: https …, 2020 | 129 | 2020 |
| Temporal Modulation Network for Controllable Space-Time Video Super-Resolution G Xu, J Xu, Z Li, L Wang, X Sun, MM Cheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021 | 107 | 2021 |
| NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising Y Hou, J Xu, M Liu, G Liu, L Liu, F Zhu, L Shao IEEE Transactions on Image Processing, Matlab Code: https://github.com …, 2020 | 97 | 2020 |
David Zhang, DapengDistinguished Presidential Chair Prof., Chinese Univ of HK (SZ); Emeritus Prof., HK Polytechnic Univ在 cuhk.edu.cn 的电子邮件经过验证
