Kai Zhang - Google Scholar

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	All	Since 2015
Citations	5295	5289
h-index	19	19
i10-index	23	23

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20152016201720182019202028 36 214 952 1943 2074

Co-authors

Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Radu TimofteETH Zurich (previously at KU Leuven)Verified email at vision.ee.ethz.ch
Shuhang GuETH, ZurichVerified email at vision.ee.ethz.ch
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Yunjin CHENAlibaba CloudVerified email at alibaba-inc.com
Shi GuoPhD student in HK PolyUVerified email at comp.polyu.edu.hk
Kede MaAssistant Professor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
Zhou WangProfessor, Electrical and Computer Engineering, University of WaterlooVerified email at uwaterloo.ca
Zhengfang DuanmuPhD student of Electrical and Computer Engineering, University of WaterlooVerified email at uwaterloo.ca
Pengju LiuHarbin Institute of TechnologyVerified email at stu.hit.edu.cn
Hongwei YongPhD candidate in the Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Yawei LiETH ZurichVerified email at vision.ee.ethz.ch
Dongwei RenTianjin UniversityVerified email at tju.edu.cn
Qilong WangTianjin UniversityVerified email at tju.edu.cn
Qinghua HuProfessor of Computer Science, Tianjin UniversityVerified email at tju.edu.cn
Wen LiData Intelligence Group, UESTCVerified email at uestc.edu.cn
Martin DanelljanPostdoc, ETH ZurichVerified email at vision.ee.ethz.ch

Kai Zhang

ETH Zurich

Verified email at vision.ee.ethz.ch - Homepage

Image Processing Inverse Problems Computational Imaging


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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	2265	2017
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	674	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	492	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/KAIR, 2018	438	2018
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	248	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	144	2016
Toward convolutional blind denoising of real photographs S Guo, Z Yan, K Zhang, W Zuo, L Zhang CVPR 2019, 2019	139	2019
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	130	2018
Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool CVPRW 2018, 2018	119	2018
Multi-level wavelet-CNN for image restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo CVPRW 2018, 2018	113	2018
Outlier-robust extreme learning machine for regression problems K Zhang, M Luo Neurocomputing 151, 1519-1527, 2015	110	2015
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	80	2014
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	56	2019
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	38	2016
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	34	2017
Robustness of full implication algorithms based on interval-valued fuzzy inference M Luo, K Zhang International Journal of Approximate Reasoning 62, 61-72, 2015	31	2015
Ntire 2019 challenge on real image denoising: Methods and results A Abdelhamed, R Timofte, MS Brown CVPRW 2019, 2019	29	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	27	2018
Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang CVPRW 2019, 2019	26	2019
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	17	2016

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