| 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/DnCNN, 2017 | 1693 | 2017 |
| Learning Deep CNN Denoiser Prior for Image Restoration K Zhang, W Zuo, S Gu, L Zhang CVPR 2017, code: https://github.com/cszn/IRCNN, 2017 | 515 | 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 | 365 | 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/FFDNet, 2018 | 285 | 2018 |
| Learning a single convolutional super-resolution network for multiple degradations K Zhang, W Zuo, L Zhang CVPR 2018, code: https://github.com/cszn/SRMD, 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 | 134 | 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 | 91 | 2018 |
| Outlier-robust extreme learning machine for regression problems K Zhang, M Luo Neurocomputing 151, 1519-1527, 2015 | 91 | 2015 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool CVPRW 2018, 2018 | 84 | 2018 |
| Toward convolutional blind denoising of real photographs S Guo, Z Yan, K Zhang, W Zuo, L Zhang CVPR 2019, 2019 | 82 | 2019 |
| 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 | 78 | 2014 |
| Multi-level wavelet-CNN for image restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo CVPRW 2018, 2018 | 73 | 2018 |
| 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 | 33 | 2016 |
| Robustness of full implication algorithms based on interval-valued fuzzy inference M Luo, K Zhang International Journal of Approximate Reasoning 62, 61-72, 2015 | 27 | 2015 |
| 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 | 22 | 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 | 18 | 2018 |
| 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 | 15 | 2016 |
| Ntire 2019 challenge on real image denoising: Methods and results A Abdelhamed, R Timofte, MS Brown CVPRW 2019, 2019 | 14 | 2019 |
| Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network Z Yang, K Zhang, Y Liang, J Wang International Conference on Multimedia Modeling, 353-364, 2017 | 14 | 2017 |
| Single image super-resolution via a lightweight residual convolutional neural network Y Liang, Z Yang, K Zhang, Y He, J Wang, N Zheng arXiv preprint, 2017 | 9 | 2017 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
