Jun Xu (徐君)
Jun Xu (徐君)
Lecturer, College of Computer Science, Nankai University
Verified email at nankai.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
2372015
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
1262017
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
832018
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
572018
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
532018
Reweighted Sparse Subspace Clustering
J Xu, K Xu, K Chen, J Ruan
Computer Vision and Image Understanding, Matlab Code: https://csjunxu.github …, 2015
352015
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
302019
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
302018
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
292019
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
212018
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
182014
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
https://arxiv.org/abs/2004.07054, 2020
172020
Patch Group based Bayesian Learning for Blind Image Denoising
J Xu, D Ren, L Zhang, D Zhang
ACCV 2016, Matlab Code: https://github.com/csjunxu/PGBL_BID, 2016
162016
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
H Wang, Z Xu, J Xu, W An, L Zhang, Q Dai
https://arxiv.org/abs/1908.03850, 2019
14*2019
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
142018
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
132018
Bilateral Attention Network for RGB-D Salient Object Detection
Z Zhang, Z Lin, J Xu, W Jin, SP Lu, DP Fan
https://arxiv.org/abs/2004.14582, 2020
62020
Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image
J Xu#, Y Huang#, MM Cheng, L Liu, F Zhu, Z Xu, L Shao
https://arxiv.org/abs/1906.06878 PyTorch Code: https://github.com/csjunxu …, 2020
6*2020
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
62020
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
52020
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