| 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 | 1096 | 2017 |
| Learning Deep CNN Denoiser Prior for Image Restoration K Zhang, W Zuo, S Gu, L Zhang IEEE CVPR 2017, code: https://github.com/cszn/IRCNN, 2017 | 335 | 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, ... Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017 | 247 | 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 | 141 | 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 | 117 | 2016 |
| Learning a single convolutional super-resolution network for multiple degradations K Zhang, W Zuo, L Zhang IEEE CVPR 2018, code: https://github.com/cszn/SRMD, 2018 | 93 | 2018 |
| Outlier-robust extreme learning machine for regression problems K Zhang, M Luo Neurocomputing 151, 1519-1527, 2015 | 77 | 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 | 73 | 2014 |
| End-to-End Blind Image Quality Assessment Using Deep Neural Networks K Ma, W Liu, K Zhang, Z Duanmu, Z Wang, W Zuo IEEE Transactions on Image Processing 27 (3), 1202-1213, 2018 | 55 | 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 | 29 | 2016 |
| Toward convolutional blind denoising of real photographs S Guo, Z Yan, K Zhang, W Zuo, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 26 | 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 | 23 | 2015 |
| 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 | 12 | 2016 |
| Extreme Learning Machine With Affine Transformation Inputs in an Activation Function J Cao, K Zhang, H Yong, X Lai, B Chen, Z Lin IEEE transactions on neural networks and learning systems, 2018 | 9 | 2018 |
| 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 | 8 | 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 arXiv:1703.08173, 2017 | 7 | 2017 |
| Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms K Zhang, X Zhou, H Zhang, W Zuo Pacific Rim Conference on Multimedia, 677-687, 2015 | 7 | 2015 |
| Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels K Zhang, W Zuo, L Zhang IEEE CVPR 2019, code: https://github.com/cszn/DPSR, 2019 | 6 | 2019 |
| Ntire 2019 challenge on real image denoising: Methods and results A Abdelhamed, R Timofte, MS Brown Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 4 | 2019 |
| Neural Blind Deconvolution Using Deep Priors D Ren, K Zhang, Q Wang, Q Hu, W Zuo arXiv preprint arXiv:1908.02197, 2019 | | 2019 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
