| Weighted nuclear norm minimization with application to image denoising S Gu, L Zhang, W Zuo, X Feng Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1085 | 2014 |
| Learning deep CNN denoiser prior for image restoration K Zhang, W Zuo, S Gu, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 774 | 2017 |
| Weighted nuclear norm minimization and its applications to low level vision S Gu, Q Xie, D Meng, W Zuo, X Feng, L Zhang International journal of computer vision 121 (2), 183-208, 2017 | 361 | 2017 |
| Convolutional sparse coding for image super-resolution S Gu, W Zuo, Q Xie, D Meng, X Feng, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 1823-1831, 2015 | 265 | 2015 |
| Projective dictionary pair learning for pattern classification S Gu, L Zhang, W Zuo, X Feng Advances in neural information processing systems 27, 793-801, 2014 | 262 | 2014 |
| Learning convolutional networks for content-weighted image compression M Li, W Zuo, S Gu, D Zhao, D Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 189 | 2018 |
| Weighted Schatten-Norm Minimization for Image Denoising and Background Subtraction Y Xie, S Gu, Y Liu, W Zuo, W Zhang, L Zhang IEEE transactions on image processing 25 (10), 4842-4857, 2016 | 175 | 2016 |
| Learning a deep single image contrast enhancer from multi-exposure images J Cai, S Gu, L Zhang IEEE Transactions on Image Processing 27 (4), 2049-2062, 2018 | 167 | 2018 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 137 | 2018 |
| Multispectral images denoising by intrinsic tensor sparsity regularization Q Xie, Q Zhao, D Meng, Z Xu, S Gu, W Zuo, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 128 | 2016 |
| Joint convolutional analysis and synthesis sparse representation for single image layer separation S Gu, D Meng, W Zuo, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 1708-1716, 2017 | 78 | 2017 |
| Video rain streak removal by multiscale convolutional sparse coding M Li, Q Xie, Q Zhao, W Wei, S Gu, J Tao, D Meng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 69 | 2018 |
| Learning iteration-wise generalized shrinkage–thresholding operators for blind deconvolution W Zuo, D Ren, D Zhang, S Gu, L Zhang IEEE Transactions on Image Processing 25 (4), 1751-1764, 2016 | 64 | 2016 |
| Pirm challenge on perceptual image enhancement on smartphones: Report A Ignatov, R Timofte, T Van Vu, T Minh Luu, T X Pham, C Van Nguyen, ... Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 51 | 2018 |
| Learning dynamic guidance for depth image enhancement S Gu, W Zuo, S Guo, Y Chen, C Chen, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 49 | 2017 |
| Discriminative Learning of Iteration-wise Priors for Blind Deconvolution W Zuo, D Ren, S Gu, L Lin, L Zhang CVPR, 2015 | 40 | 2015 |
| Dictionary pair classifier driven convolutional neural networks for object detection K Wang, L Lin, W Zuo, S Gu, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 39 | 2016 |
| Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 37 | 2019 |
| Self-guided network for fast image denoising S Gu, Y Li, LV Gool, R Timofte Proceedings of the IEEE International Conference on Computer Vision, 2511-2520, 2019 | 34 | 2019 |
| Aim 2019 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, ... 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019 | 31 | 2019 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
