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
2496 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
2311 2017 Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2145 2017 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
998 2018 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, 183-208, 2017
847 2017 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
480 2018 Weighted Schatten Y Xie, S Gu, Y Liu, W Zuo, W Zhang, L Zhang
IEEE transactions on image processing 25 (10), 4842-4857, 2016
427 2016 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
425 2015 Projective dictionary pair learning for pattern classification S Gu, L Zhang, W Zuo, X Feng
Advances in neural information processing systems 27, 2014
375 2014 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
267 2016 Group sparsity: The hinge between filter pruning and decomposition for network compression Y Li, S Gu, C Mayer, LV Gool, R Timofte
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
265 2020 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
252 2017 Video super-resolution with recurrent structure-detail network T Isobe, X Jia, S Gu, S Li, S Wang, Q Tian
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
250 2020 Frequency separation for real-world super-resolution M Fritsche, S Gu, R Timofte
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
248 2019 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
219 2018 You only look yourself: Unsupervised and untrained single image dehazing neural network B Li, Y Gou, S Gu, JZ Liu, JT Zhou, X Peng
International Journal of Computer Vision 129, 1754-1767, 2021
204 2021 Self-guided network for fast image denoising S Gu, Y Li, LV Gool, R Timofte
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
196 2019 Flow-based kernel prior with application to blind super-resolution J Liang, K Zhang, S Gu, L Van Gool, R Timofte
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
159 2021 Unsupervised real-world image super resolution via domain-distance aware training Y Wei, S Gu, Y Li, R Timofte, L Jin, H Song
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
154 2021 Efficient video super-resolution through recurrent latent space propagation D Fuoli, S Gu, R Timofte
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
153 2019 
Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgEmail verificata su uni-wuerzburg.de
