Theo dõi
Xinghao Ding
Xinghao Ding
Mục liên kết không xác định
Email được xác minh tại xmu.edu.cn
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
13062017
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
11222016
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
9492017
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
7622017
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
7522016
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
6282014
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
5182019
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
4362015
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
4132019
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
3432020
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
3222019
Bayesian robust principal component analysis
X Ding, L He, L Carin
IEEE Transactions on Image Processing 20 (12), 3419-3430, 2011
3192011
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
2892017
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
1902019
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
1842013
Uncertainty inspired underwater image enhancement
Z Fu, W Wang, Y Huang, X Ding, KK Ma
European conference on computer vision, 465-482, 2022
1682022
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
1632014
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
1612015
Learning a simple low-light image enhancer from paired low-light instances
Z Fu, Y Yang, X Tu, Y Huang, X Ding, KK Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
1592023
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
1472015
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