Dongwei Ren
Dongwei Ren
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Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution
W Zuo, D Ren, D Zhang, S Gu, L Zhang
IEEE transactions on image processing, 2016
Progressive image deraining networks: a better and simpler baseline
D Ren, W Zuo, Q Hu, P Zhu, D Meng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Discriminative Learning of Iteration-wise Priors for Blind Deconvolution
W Zuo, D Ren, S Gu, L Lin, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Fast total-variation based image restoration based on derivative alternated direction optimization methods
D Ren, H Zhang, D Zhang, W Zuo
Neurocomputing 170, 201–212, 2015
Fast Gradient Vector Flow Computation Based on Augmented Lagrangian Method
D Ren, W Zuo, X Zhao, Z Lin, D Zhang
Pattern Recognition Letters 34 (2), 219–225, 2013
Patch Group based Bayesian Learning for Blind Image Denoising
J Xu, D Ren, L Zhang, Z David
Asian Conference on Computer Vision (ACCV), New Trends in Image Restoration …, 2016
Simultaneous fidelity and regularization learning for image restoration
D Ren, W Zuo, D Zhang, L Zhang, MH Yang
IEEE transactions on pattern analysis and machine intelligence, 2019
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
Unsupervised degradation learning for single image super-resolution
T Zhao, W Ren, C Zhang, D Ren, Q Hu
arXiv preprint arXiv:1812.04240, 2018
Neural blind deconvolution using deep priors
D Ren, K Zhang, Q Wang, Q Hu, W Zuo
arXiv preprint arXiv:1908.02197, 2019
How can a sparse representation be made applicable for very low-dimensional data?
H Zhang, F Li, P Liu, Y Chen, D Ren, K Wang
Expert Systems with Applications 77, 66-70, 2017
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 29, 5022-5037, 2020
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Z Zheng, P Wang, W Liu, J Li, R Ye, D Ren
arXiv preprint arXiv:1911.08287, 2019
Efficient non-uniform deblurring based on generalized additive convolution model
H Deng, D Ren, D Zhang, W Zuo, H Zhang, K Wang
EURASIP Journal on Advances in Signal Processing 2016 (1), 22, 2016
Fast Augmented Lagrangian Method for Image Smoothing with Hyper-Laplacian Gradient Prior
L Chen, H Zhang, D Ren, D Zhang, W Zuo
Chinese Conference on Pattern Recognition, 12-21, 2014
A concatenated residual network for image deblurring
L Si-Yao, D Ren, Z Hu, J Li, Q Yin, P Guo
arXiv preprint arXiv:1804.06042, 2018
A coordinate descent method for total variation minimization
H Deng, D Ren, G Xiao, D Zhang, W Zuo
Mathematical Problems in Engineering 2017, 2017
A Derivative Augmented Lagrangian Method for Fast Total Variation Based Image Restoration
D Ren, W Zuo, H Zhang, D Zhang
International Conference on Intelligence Science and Big Data Engineering …, 2013
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Q Wang, L Zhang, B Wu, D Ren, P Li, W Zuo, Q Hu
arXiv preprint arXiv:2003.11241, 2020
Dual Recursive Network for Fast Image Deraining
L Cai, SY Li, D Ren, P Wang
2019 IEEE International Conference on Image Processing (ICIP), 2756-2760, 2019
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