Removing rain from single images via a deep detail network X Fu, J Huang, D Zeng, Y Huang, X Ding, J Paisley Computer Vision and Pattern Recognition (CVPR), 2017 | 1167 | 2017 |
A weighted variational model for simultaneous reflectance and illumination estimation X Fu, D Zeng, Y Huang, XP Zhang, X Ding Computer Vision and Pattern Recognition (CVPR), 2016 | 1011 | 2016 |
Clearing the Skies: A deep network architecture for single-image rain removal X Fu, J Huang, X Ding, Y Liao, J Paisley IEEE Transactions on Image Processing 26 (6), 2944-2956, 2017 | 896 | 2017 |
A fusion-based enhancing method for weakly illuminated images X Fu, D Zeng, Y Huang, Y Liao, X Ding, J Paisley Signal Processing 129, 82-96, 2016 | 679 | 2016 |
PanNet: A deep network architecture for pan-sharpening J Yang, X Fu (co-first author), Y Hu, Y Huang, X Ding, J Paisley International Conference on Computer Vision (ICCV), 2017 | 653 | 2017 |
A retinex-based enhancing approach for single underwater image X Fu, P Zhuang, Y Huang, Y Liao, XP Zhang, X Ding IEEE International Conference on Image Processing (ICIP), 4572-4576, 2014 | 530 | 2014 |
A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation X Fu, Y Liao, D Zeng, Y Huang, XP Zhang, X Ding IEEE Transactions on Image Processing 24 (12), 4965-4977, 2015 | 414 | 2015 |
Lightweight pyramid networks for image deraining X Fu, B Liang, Y Huang, X Ding, J Paisley IEEE Transactions on Neural Networks and Learning Systems 31 (6), 1794 - 1807, 2019 | 387 | 2019 |
Two-step approach for single underwater image enhancement X Fu, Z Fan, M Ling, Y Huang, X Ding 2017 international symposium on intelligent signal processing and …, 2017 | 250 | 2017 |
Underwater image enhancement with global–local networks and compressed-histogram equalization X Fu, X Cao Signal Processing: Image Communication 86, 115892, 2020 | 176 | 2020 |
Single-image-based rain and snow removal using multi-guided filter X Zheng, Y Liao, W Guo, X Fu, X Ding Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 176 | 2013 |
A Variational Pan-Sharpening With Local Gradient Constraints X Fu, Z Lin, Y Huang, X Ding Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 167 | 2019 |
Bayesian nonparametric dictionary learning for compressed sensing MRI Y Huang, J Paisley, Q Lin, X Ding, X Fu, XP Zhang IEEE Transactions on Image Processing 23 (12), 5007-5019, 2014 | 163 | 2014 |
Remote sensing image enhancement using regularized-histogram equalization and DCT X Fu, J Wang, D Zeng, Y Huang, X Ding IEEE Geoscience and Remote Sensing Letters 12 (11), 2301-2305, 2015 | 142 | 2015 |
Residual-guide network for single image deraining Z Fan, H Wu, X Fu, Y Huang, X Ding ACM International Conference on Multimedia (ACM MM), 2018 | 137 | 2018 |
Image de-raining transformer J Xiao, X Fu, A Liu, F Wu, ZJ Zha IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2022 | 134 | 2022 |
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding X Fu, ZJ Zha, F Wu, X Ding, J Paisley International Conference on Computer Vision (ICCV), 2019 | 125 | 2019 |
Deep multiscale detail networks for multiband spectral image sharpening X Fu, W Wang, Y Huang, X Ding, J Paisley IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2090-2104, 2020 | 122 | 2020 |
NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 117 | 2023 |
A deep information sharing network for multi-contrast compressed sensing MRI reconstruction L Sun, Z Fan, X Fu, Y Huang, X Ding, J Paisley IEEE Transactions on Image Processing 28 (12), 6141-6153, 2019 | 115 | 2019 |