Kai Zhang
Kai Zhang
Verified email at vision.ee.ethz.ch - Homepage
Cited by
Cited by
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/DnCNN, 2017
Learning Deep CNN Denoiser Prior for Image Restoration
K Zhang, W Zuo, S Gu, L Zhang
CVPR 2017, code: https://github.com/cszn/IRCNN, 2017
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
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/FFDNet, 2018
Learning a single convolutional super-resolution network for multiple degradations
K Zhang, W Zuo, L Zhang
CVPR 2018, code: https://github.com/cszn/SRMD, 2018
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
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
Outlier-robust extreme learning machine for regression problems
K Zhang, M Luo
Neurocomputing 151, 1519-1527, 2015
Ntire 2018 challenge on single image super-resolution: Methods and results
R Timofte, S Gu, J Wu, L Van Gool
CVPRW 2018, 2018
Toward convolutional blind denoising of real photographs
S Guo, Z Yan, K Zhang, W Zuo, L Zhang
CVPR 2019, 2019
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
Multi-level wavelet-CNN for image restoration
P Liu, H Zhang, K Zhang, L Lin, W Zuo
CVPRW 2018, 2018
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
Robustness of full implication algorithms based on interval-valued fuzzy inference
M Luo, K Zhang
International Journal of Approximate Reasoning 62, 61-72, 2015
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
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
Class relatedness oriented-discriminative dictionary learning for multiclass image classification
D Zhang, P Liu, K Zhang, H Zhang, Q Wang, X Jing
Pattern Recognition 59, 168-175, 2016
Ntire 2019 challenge on real image denoising: Methods and results
A Abdelhamed, R Timofte, MS Brown
CVPRW 2019, 2019
Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network
Z Yang, K Zhang, Y Liang, J Wang
International Conference on Multimedia Modeling, 353-364, 2017
Single image super-resolution via a lightweight residual convolutional neural network
Y Liang, Z Yang, K Zhang, Y He, J Wang, N Zheng
arXiv preprint, 2017
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