Kai Zhang

Cited by

	All	Since 2016
Citations	6286	6243
h-index	21	21
i10-index	27	27

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201520162017201820192020202128 38 214 962 1957 2948 56

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
Pengju LiuHarbin Institute of TechnologyVerified email at stu.hit.edu.cn
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
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 DanelljanResearcher, ETH ZurichVerified email at vision.ee.ethz.ch

Kai Zhang

Postdoctoral Researcher, 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	2646	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	774	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	578	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	547	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	309	2018
Toward convolutional blind denoising of real photographs S Guo, Z Yan, K Zhang, W Zuo, L Zhang CVPR 2019, 2019	191	2019
Multi-level wavelet-CNN for image restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo CVPRW 2018, 2018	165	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	151	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	148	2018
Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool CVPRW 2018, 2018	137	2018
Outlier-robust extreme learning machine for regression problems K Zhang, M Luo Neurocomputing 151, 1519-1527, 2015	121	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	82	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	76	2019
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	40	2017
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	40	2016
Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang CVPRW 2019, 2019	37	2019
Ntire 2019 challenge on real image denoising: Methods and results A Abdelhamed, R Timofte, MS Brown CVPRW 2019, 2019	33	2019
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
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	29	2018
Deep Unfolding Network for Image Super-Resolution K Zhang, L Van Gool, R Timofte CVPR 2020, code: https://github.com/cszn/USRNet, 2020	26	2020

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