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Yudong Liang
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2020 – today
- 2025
- [j6]Yudong Liang, Shaoji Li
, De Cheng, Wenjian Wang, Deyu Li, Jiye Liang:
Image dehazing via self-supervised depth guidance. Pattern Recognit. 158: 111051 (2025) - 2022
- [c10]Yudong Liang, Bin Wang, Wangmeng Zuo, Jiaying Liu, Wenqi Ren:
Self-supervised Learning and Adaptation for Single Image Dehazing. IJCAI 2022: 1137-1143 - [c9]Yudong Liang, Bin Wang, Wenqi Ren, Jiaying Liu
Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement. ACM Multimedia 2022: 2767-2776 - 2021
- [j5]Xiaoqi Huang, Ke Shi, Jie Zhou, Yudong Liang, Yaliang Liu, Jinpin Zhang, Youmin Guo, Chenwang Jin:
Development of a Machine Learning-Assisted Model for the Early Detection of Severe COVID-19 Cases Combining Blood Test and Quantitative Computed Tomography Parameters. J. Medical Imaging Health Informatics 11(11): 2747-2753 (2021) - [j4]Yudong Liang, Radu Timofte
Single-Image super-resolution - When model adaptation matters. Pattern Recognit. 116: 107931 (2021) - [i5]Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Sanping Zhou, Wenqi Ren:
Progressive Depth Learning for Single Image Dehazing. CoRR abs/2102.10514 (2021) - [i4]Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Yuhua Qian, Wenqi Ren:
Progressive residual learning for single image dehazing. CoRR abs/2103.07973 (2021)
2010 – 2019
- 2019
- [j3]Sanping Zhou
Discriminative Feature Learning With Foreground Attention for Person Re-Identification. IEEE Trans. Image Process. 28(9): 4671-4684 (2019) - 2018
- [i3]Sanping Zhou, Jinjun Wang, Deyu Meng, Yudong Liang, Yihong Gong, Nanning Zheng:
Discriminative Feature Learning with Foreground Attention for Person Re-Identification. CoRR abs/1807.01455 (2018) - 2017
- [c8]Ze Yang
Single Image Super-Resolution with a Parameter Economic Residual-Like Convolutional Neural Network. MMM (1) 2017: 353-364 - [c7]Zoe Lin Jiang, Yudong Liang, Zechao Liu, Xuan Wang:
Lattice-based proxy signature scheme with reject sampling method. SPAC 2017: 558-563 - [i2]Yudong Liang, Ze Yang, Kai Zhang, Yihui He, Jinjun Wang, Nanning Zheng:
Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network. CoRR abs/1703.08173 (2017) - [i1]Yudong Liang, Radu Timofte, Jinjun Wang, Yihong Gong, Nanning Zheng:
Single Image Super Resolution - When Model Adaptation Matters. CoRR abs/1703.10889 (2017) - 2016
- [j2]Sanping Zhou, Jinjun Wang, Shun Zhang
Active contour model based on local and global intensity information for medical image segmentation. Neurocomputing 186: 107-118 (2016) - [j1]Yudong Liang, Jinjun Wang, Sanping Zhou, Yihong Gong, Nanning Zheng:
Incorporating image priors with deep convolutional neural networks for image super-resolution. Neurocomputing 194: 340-347 (2016) - [c6]Yudong Liang, Jinjun Wang, Xingyu Wan, Yihong Gong, Nanning Zheng:
Image Quality Assessment Using Similar Scene as Reference. ECCV (5) 2016: 3-18 - [c5]Yudong Liang, Jinjun Wang, Ze Yang, Yihong Gong, Nanning Zheng:
Learning Qualitative and Quantitative Image Quality Assessment. PCM (2) 2016: 417-427 - 2015
- [c4]Yudong Liang, Jinjun Wang, Shizhou Zhang, Yihong Gong:
Incorporating image degeneration modeling with multitask learning for image super-resolution. ICIP 2015: 2110-2114 - [c3]Shizhou Zhang, Jinjun Wang, Yudong Liang, Yihong Gong, Nanning Zheng:
Multi-cue Normalized Non-Negative Sparse Encoder for image classification. ICME 2015: 1-6 - 2014
- [c2]Yudong Liang, Jinjun Wang, Shizhou Zhang, Yihong Gong:
Learning visual co-occurrence with auto-encoder for image super-resolution. APSIPA 2014: 1-4 - 2012
- [c1]Yuanliu Liu, Yudong Liang, Zejian Yuan, Nanning Zheng:
Learning to describe color composition of visual objects. ICPR 2012: 3337-3340
Coauthor Index
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