Kai Zhang
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
24782017
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
7242017
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
5482017
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
4952018
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
2832018
Toward convolutional blind denoising of real photographs
S Guo, Z Yan, K Zhang, W Zuo, L Zhang
CVPR 2019, 2019
1742019
Multi-level wavelet-CNN for image restoration
P Liu, H Zhang, K Zhang, L Lin, W Zuo
CVPRW 2018, 2018
1482018
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
1472016
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
1412018
Ntire 2018 challenge on single image super-resolution: Methods and results
R Timofte, S Gu, J Wu, L Van Gool
CVPRW 2018, 2018
1312018
Outlier-robust extreme learning machine for regression problems
K Zhang, M Luo
Neurocomputing 151, 1519-1527, 2015
1182015
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
812014
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
662019
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
392017
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
392016
Ntire 2019 challenge on real image super-resolution: Methods and results
J Cai, S Gu, R Timofte, L Zhang
CVPRW 2019, 2019
332019
Ntire 2019 challenge on real image denoising: Methods and results
A Abdelhamed, R Timofte, MS Brown
CVPRW 2019, 2019
322019
Robustness of full implication algorithms based on interval-valued fuzzy inference
M Luo, K Zhang
International Journal of Approximate Reasoning 62, 61-72, 2015
312015
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
282018
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
182020
The system can't perform the operation now. Try again later.
Articles 1–20