Kai Zhang

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Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Radu TimofteUniversity of Würzburg & ETH ZürichVerified email at uni-wuerzburg.de
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Shuhang GuETH, ZurichVerified email at vision.ee.ethz.ch
Yawei LiETH ZurichVerified email at vision.ee.ethz.ch
Yunjin CHENAlibaba CloudVerified email at alibaba-inc.com
Jingyun LiangPhD student, Computer Vision Lab, ETH ZurichVerified email at vision.ee.ethz.ch
Jiezhang CaoPhD Student, ETH ZürichVerified email at ee.ethz.ch
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
Qinghua HuProfessor of Computer Science, Tianjin UniversityVerified email at tju.edu.cn
Dongwei RenHarbin Institute of TechnologyVerified email at hit.edu.cn
Hongwei YongPhD candidate in the Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Wen LiData Intelligence Group, UESTCVerified email at uestc.edu.cn
Jiaxi JiangPhD student at Max Planck Institute for InformaticsVerified email at mpi-inf.mpg.de

Kai Zhang

Postdoctoral Researcher, ETH Zurich

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

Image Restoration 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	4527	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	1311	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	1160	2018
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	972	2017
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	591	2018
Toward convolutional blind denoising of real photographs S Guo, Z Yan, K Zhang, W Zuo, L Zhang CVPR 2019, 2019	483	2019
Multi-level wavelet-CNN for image restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo CVPRW 2018, 2018	377	2018
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	296	2018
Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool CVPRW 2018, 2018	227	2018
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	220	2019
Deep Unfolding Network for Image Super-Resolution K Zhang, L Van Gool, R Timofte CVPR 2020, code: https://github.com/cszn/USRNet, 2020	201	2020
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	183	2016
Outlier-robust extreme learning machine for regression problems K Zhang, M Luo Neurocomputing 151, 1519-1527, 2015	153	2015
SwinIR: Image restoration using swin transformer J Liang, J Cao, G Sun, K Zhang*, L Van Gool, R Timofte ICCV Workshops; code: https://github.com/JingyunLiang/SwinIR, 2021	128	2021
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	115	2020
Plug-and-Play Image Restoration with Deep Denoiser Prior K Zhang, Y Li, W Zuo, L Zhang, L Van Gool, R Timofte IEEE TPAMI, code: https://github.com/cszn/DPIR, 2021	102	2021
LocalViT: Bringing Locality to Vision Transformers Y Li, K Zhang, J Cao, R Timofte, L Van Gool arXiv preprint arXiv:2104.05707, 2021	96	2021
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	94	2014
Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang CVPRW 2019, 2019	75	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	71	2017

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