| Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising J Xu, L Zhang, W Zuo, D Zhang, X Feng IEEE ICCV 2015, Matlab Code: https://github.com/csjunxu/PGPD-ICCV2015, 2015 | 274 | 2015 |
| Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising J Xu, L Zhang, D Zhang, X Feng IEEE ICCV 2017, Matlab Code: https://github.com/csjunxu/MCWNNM-ICCV2017 …, 2017 | 162 | 2017 |
| A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising J Xu, L Zhang, D Zhang ECCV 2018, Matlab Code: https://github.com/csjunxu/TWSC-ECCV2018, 20-36, 2018 | 108 | 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 | 65 | 2018 |
| JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation YH Wu, SH Gao, J Mei, J Xu, et al IEEE Transactions on Image Processing, Pytorch Code: https://github.com …, 2021 | 62 | 2021 |
| 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 | 62 | 2018 |
| RANet: Ranking Attention Network for Fast Video Object Segmentation Z Wang, J Xu*, L Liu, F Zhu, L Shao ICCV 2019, PyTorch Code: https://github.com/Storife/RANet, 3978-3987, 2019 | 56 | 2019 |
| Sparse, collaborative, or nonnegative representation: Which helps pattern classification? J Xu*, W An, L Zhang, D Zhang Pattern Recognition, Matlab Code:https://github.com/csjunxu/Classification …, 2019 | 44 | 2019 |
| A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping Z Liang, J Xu, D Zhang, Z Cao, L Zhang CVPR 2018, Matlab Code: https://github.com/ilegendforever/L1-L0-Tone-mapping …, 2018 | 41 | 2018 |
| Reweighted Sparse Subspace Clustering J Xu, K Xu, K Chen, J Ruan Computer Vision and Image Understanding, Matlab Code: https://csjunxu.github …, 2015 | 38 | 2015 |
| A PID Controller Approach for Stochastic Optimization of Deep Networks W An, H Wang, Q Sun, J Xu, Q Dai, L Zhang CVPR 2018, PyTorch Code: https://github.com/tensorboy/PIDOptimizer, 8522-8531, 2018 | 34 | 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 | 20 | 2020 |
| newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation Y Zhang, J Xu, W Zheng, C Zhang, X Qiu, K Chen, J Ruan Computational Biology and Chemistry 52, 51–59, 2014 | 20 | 2014 |
| Patch Group based Bayesian Learning for Blind Image Denoising J Xu, D Ren, L Zhang, D Zhang ACCVW, Matlab Code: https://github.com/csjunxu/PGBL_BID, 2016 | 17 | 2016 |
| Cross Version Defect Prediction with Representative Data via Sparse Subset Selection Z Xu, S Li, Y Tang, X Luo, T Zhang, J Liu, J Xu International Conference on Program Comprehension (ICPC), 2018 | 16 | 2018 |
| Partial Deconvolution with Inaccurate Blur Kernel D Ren, W Zuo, D Zhang, J Xu, L Zhang IEEE Transactions on Image Processing 27 (1), 511-524, 2018 | 16 | 2018 |
| Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image J Xu#, Y Huang#, et al. IEEE Transactions on Image Processing, PyTorch Code: https://github.com …, 2020 | 15 | 2020 |
| Bilateral Attention Network for RGB-D Salient Object Detection Z Zhang, Z Lin, J Xu, W Jin, SP Lu, DP Fan IEEE Transactions on Image Processing, Code: https://github.com/zzhanghub …, 2021 | 12 | 2021 |
| TSTSS: A Two-Stage Training Subset Selection Framework for Cross Version Defect Prediction Z Xu, S Li, X Luo, J Liu, T Zhang, Y Tang, J Xu, P Yuan, J Keung Journal of Systems and Software, 2019 | 11 | 2019 |
| 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 | 10 | 2020 |
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
