Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Xinghao Ding

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation


Jun 13, 2021
Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu


  Access Paper or Ask Questions

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation


May 31, 2021
Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu


  Access Paper or Ask Questions

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors


Mar 30, 2021
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

* Accepted by CVPR 2021 

  Access Paper or Ask Questions

Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification


Mar 16, 2021
Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding


  Access Paper or Ask Questions

Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation


Mar 16, 2021
Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding


  Access Paper or Ask Questions

Underwater Image Enhancement via Learning Water Type Desensitized Representations


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


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Adaptive noise imitation for image denoising


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Learning Rate Dropout


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


  Access Paper or Ask Questions

Noise2Blur: Online Noise Extraction and Denoising


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


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

A Deeply-Recursive Convolutional Network for Crowd Counting


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions