Kai Zhang
Kai Zhang
Postdoctoral Researcher, ETH Zurich
Verified email at vision.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
K Zhang, W Zuo, Y Chen, D Meng, L Zhang
IEEE TIP 2017, code: https://github.com/cszn/KAIR, 2017
35492017
Learning Deep CNN Denoiser Prior for Image Restoration
K Zhang, W Zuo, S Gu, L Zhang
CVPR 2017, code: https://github.com/cszn/DPIR, 2017
10422017
FFDNet: Toward a fast and flexible solution for CNN based image denoising
K Zhang, W Zuo, L Zhang
IEEE TIP 2018, code: https://github.com/cszn/KAIR, 2018
8312018
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ...
CVPRW 2017, 2017
7872017
Learning a single convolutional super-resolution network for multiple degradations
K Zhang, W Zuo, L Zhang
CVPR 2018, code: https://github.com/cszn/KAIR, 2018
4522018
Toward convolutional blind denoising of real photographs
S Guo, Z Yan, K Zhang, W Zuo, L Zhang
CVPR 2019, 2019
3142019
Multi-level wavelet-CNN for image restoration
P Liu, H Zhang, K Zhang, L Lin, W Zuo
CVPRW 2018, 2018
2602018
End-to-End Blind Image Quality Assessment Using Deep Neural Networks
K Ma, W Liu, K Zhang, Z Duanmu, Z Wang, W Zuo
IEEE TIP 2018, 2018
2152018
Ntire 2018 challenge on single image super-resolution: Methods and results
R Timofte, S Gu, J Wu, L Van Gool
CVPRW 2018, 2018
1942018
Extreme learning machine and adaptive sparse representation for image classification
J Cao, K Zhang, M Luo, C Yin, X Lai
Neural networks 81, 91-102, 2016
1672016
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
K Zhang, W Zuo, L Zhang
CVPR 2019, code: https://github.com/cszn/DPSR, 2019
1532019
Outlier-robust extreme learning machine for regression problems
K Zhang, M Luo
Neurocomputing 151, 1519-1527, 2015
1432015
Deep Unfolding Network for Image Super-Resolution
K Zhang, L Van Gool, R Timofte
CVPR 2020, code: https://github.com/cszn/USRNet, 2020
1012020
A hybrid approach combining extreme learning machine and sparse representation for image classification
M Luo, K Zhang
Engineering Applications of Artificial Intelligence 27, 228-235, 2014
882014
Neural Blind Deconvolution Using Deep Priors
D Ren, K Zhang, Q Wang, Q Hu, W Zuo
CVPR 2020, code: https://github.com/csdwren/SelfDeblur, 2020
662020
Ntire 2019 challenge on real image super-resolution: Methods and results
J Cai, S Gu, R Timofte, L Zhang
CVPRW 2019, 2019
642019
Color image demosaicking via deep residual learning
R Tan, K Zhang, W Zuo, L Zhang
2017 IEEE International Conference on Multimedia and Expo (ICME), 793-798, 2017
552017
Ntire 2019 challenge on real image denoising: Methods and results
A Abdelhamed, R Timofte, MS Brown
CVPRW 2019, 2019
532019
Joint Learning of Multiple Regressors for Single Image Super-Resolution
K Zhang, B Wang, W Zuo, H Zhang, L Zhang
IEEE Signal Processing Letters 23 (1), 102-106, 2016
422016
Extreme Learning Machine With Affine Transformation Inputs in an Activation Function
J Cao, K Zhang, H Yong, X Lai, B Chen, Z Lin
IEEE TNNLS 2018, 2018
352018
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