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Underwater Image Enhancement via Learning Water Type Desensitized Representations


Feb 01, 2021
Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding


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Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement


Feb 01, 2021
Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding


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Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding


Dec 10, 2020
Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

* 10 pages, 8 figures 

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Adaptive noise imitation for image denoising


Nov 30, 2020
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John Paisley


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A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision


Oct 23, 2020
Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

* 10 pages, 11 figure 

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Harmonizing Transferability and Discriminability for Adapting Object Detectors


Mar 13, 2020
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou

* Accepted by CVPR 2020 

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Learning Rate Dropout


Dec 05, 2019
Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John Paisley


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Noise2Blur: Online Noise Extraction and Denoising


Dec 03, 2019
Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John Paisley


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Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network


Oct 28, 2019
Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding

* 10th Workshop on Statistical Atlases and Computational Modelling of the Heart (MICCAI2019 Workshop) 

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Unsupervised Adversarial Graph Alignment with Graph Embedding


Jul 01, 2019
Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wenbing Huang, Xinghao Ding, Yue Huang, Junzhou Huang

* 10 pages, 4 figures 

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Rain O'er Me: Synthesizing real rain to derain with data distillation


Apr 10, 2019
Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John Paisley


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A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal


Nov 24, 2018
Huangxing Lin, Xueyang Fu, Changxing Jing, Xinghao Ding, Yue Huang


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A Deep Tree-Structured Fusion Model for Single Image Deraining


Nov 21, 2018
Xueyang Fu, Qi Qi, Yue Huang, Xinghao Ding, Feng Wu, John Paisley


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Progressive Feature Alignment for Unsupervised Domain Adaptation


Nov 21, 2018
Chaoqi Chen, Weiping Xie, Tingyang Xu, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang

* 10 pages, 5 figures 

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An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal


Oct 25, 2018
Liyan Sun, Jiexiang Wang, Xinghao Ding, Yue Huang, John Paisley

* 15 pages, 16 figures 

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Lightweight Pyramid Networks for Image Deraining


May 16, 2018
Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John Paisley

* submitted to IEEE Transactions on Neural Networks and Learning Systems 

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A Deeply-Recursive Convolutional Network for Crowd Counting


May 15, 2018
Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang


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Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network


May 06, 2018
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

* 8 pages, 6 figures, 3 tables 

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A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction


Apr 10, 2018
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

* 13 pages, 16 figures, 3 tables 

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A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI


Apr 04, 2018
Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John Paisley


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A Divide-and-Conquer Approach to Compressed Sensing MRI


Mar 27, 2018
Liyan Sun, Zhiwen Fan, Xinghao Ding, Congbo Cai, Yue Huang, John Paisley

* 37 pages, 20 figures, 2 tables 

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A Deep Error Correction Network for Compressed Sensing MRI


Mar 23, 2018
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

* 7 pages, 7 figures, 2 tables 

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Saliency Detection with Spaces of Background-based Distribution


Mar 17, 2016
Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng

* 5 pages, 6 figures, Accepted by IEEE Signal Processing Letters in March 2016 

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Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI


Jul 26, 2014
Yue Huang, John Paisley, Qin Lin, Xinghao Ding, Xueyang Fu, Xiao-ping Zhang


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HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks


Sep 28, 2013
Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu


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