Следене
Kai Zhang
Kai Zhang
Postdoctoral Researcher, ETH Zurich
Потвърден имейл адрес: vision.ee.ethz.ch - Начална страница
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Позовавания
Позовавания
Година
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
56842017
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
15972017
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
15542018
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
11942017
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
7772018
Toward convolutional blind denoising of real photographs
S Guo, Z Yan, K Zhang, W Zuo, L Zhang
CVPR 2019, 2019
6792019
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
5432021
Multi-level wavelet-CNN for image restoration
P Liu, H Zhang, K Zhang, L Lin, W Zuo
CVPRW 2018, 2018
5072018
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
3732018
Deep Unfolding Network for Image Super-Resolution
K Zhang, L Van Gool, R Timofte
CVPR 2020, code: https://github.com/cszn/USRNet, 2020
3282020
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
2912019
Ntire 2018 challenge on single image super-resolution: Methods and results
R Timofte, S Gu, J Wu, L Van Gool
CVPRW 2018, 2018
2722018
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
2392021
LocalViT: Bringing Locality to Vision Transformers
Y Li, K Zhang, J Cao, R Timofte, L Van Gool
arXiv preprint arXiv:2104.05707, 2021
2252021
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
2072016
Outlier-robust extreme learning machine for regression problems
K Zhang, M Luo
Neurocomputing 151, 1519-1527, 2015
1752015
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
1742020
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
K Zhang, J Liang, L Van Gool, R Timofte
ICCV 2021; https://github.com/cszn/BSRGAN, 2021
1462021
Ntire 2019 challenge on real image super-resolution: Methods and results
J Cai, S Gu, R Timofte, L Zhang
CVPRW 2019, 2019
992019
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
962014
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