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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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Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification

Jul 18, 2020
Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng

* MICCAI 2019 

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Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge

Jun 22, 2020
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Victor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant RaviKumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li

* 14 pages 

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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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A Real-time Global Inference Network for One-stage Referring Expression Comprehension

Dec 07, 2019
Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-wen Lin, Qi Tian


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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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Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images

Aug 30, 2019
Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng


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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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Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

Apr 13, 2019
Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding

* Accepted by CVPR19 

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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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MEnet: A Metric Expression Network for Salient Object Segmentation

May 15, 2018
Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John Paisley

* 7 pages,7 figures, 4 tables; The paper has been accepted by International Joint Conference on Artificial Intelligence (IJCAI),2018 

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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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Residual-Guide Feature Fusion Network for Single Image Deraining

Apr 20, 2018
Zhiwen Fan, Huafeng Wu, Xueyang Fu, Yue Hunag, Xinghao Ding


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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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High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network

Aug 17, 2017
Congbo Cai, Yiqing Zeng, Chao Wang, Shuhui Cai, Jun Zhang, Zhong Chen, Xinghao Ding, Jianhui Zhong

* 18 pages, 7 figures 

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Clearing the Skies: A deep network architecture for single-image rain removal

Feb 06, 2017
Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, John Paisley


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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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