| Removing rain from single images via a deep detail network X Fu, J Huang, D Zeng, Y Huang, X Ding, J Paisley Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1256 | 2017 |
| A weighted variational model for simultaneous reflectance and illumination estimation X Fu, D Zeng, Y Huang, XP Zhang, X Ding Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1086 | 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 | 940 | 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 | 719 | 2016 |
| PanNet: A deep network architecture for pan-sharpening J Yang, X Fu, Y Hu, Y Huang, X Ding, J Paisley Proceedings of the IEEE international conference on computer vision, 5449-5457, 2017 | 709 | 2017 |
| A retinex-based enhancing approach for single underwater image X Fu, P Zhuang, Y Huang, Y Liao, XP Zhang, X Ding 2014 IEEE international conference on image processing (ICIP), 4572-4576, 2014 | 595 | 2014 |
| Progressive feature alignment for unsupervised domain adaptation C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 502 | 2019 |
| 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 | 428 | 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 | 405 | 2019 |
| Harmonizing transferability and discriminability for adapting object detectors C Chen, Z Zheng, X Ding, Y Huang, Q Dou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 322 | 2020 |
| Bayesian robust principal component analysis X Ding, L He, L Carin IEEE Transactions on Image Processing 20 (12), 3419-3430, 2011 | 321 | 2011 |
| Look more than once: An accurate detector for text of arbitrary shapes C Zhang, B Liang, Z Huang, M En, J Han, E Ding, X Ding Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 314 | 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 | 273 | 2017 |
| 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 | 183 | 2013 |
| A variational pan-sharpening with local gradient constraints X Fu, Z Lin, Y Huang, X Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 181 | 2019 |
| Vehicle logo recognition system based on convolutional neural networks with a pretraining strategy Y Huang, R Wu, Y Sun, W Wang, X Ding IEEE Transactions on Intelligent Transportation Systems 16 (4), 1951-1960, 2015 | 164 | 2015 |
| 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 | 145 | 2015 |
| Residual-guide network for single image deraining Z Fan, H Wu, X Fu, Y Huang, X Ding Proceedings of the 26th ACM international conference on Multimedia, 1751-1759, 2018 | 139 | 2018 |
| Uncertainty inspired underwater image enhancement Z Fu, W Wang, Y Huang, X Ding, KK Ma European conference on computer vision, 465-482, 2022 | 136 | 2022 |
Xiaobo Qu (屈小波)Professor of Department of Electronic Science, Xiamen UniversityVerified email at xmu.edu.cn
