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COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution


Apr 26, 2020
Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You


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Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory


Jan 13, 2020
Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen


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Semi-supervised Learning via Conditional Rotation Angle Estimation


Jan 09, 2020
Hai-Ming Xu, Lingqiao Liu, Dong Gong


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Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation


Jan 08, 2020
Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang


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Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation


Jan 06, 2020
Tong He, Dong Gong, Zhi Tian, Chunhua Shen


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Part-Guided Attention Learning for Vehicle Re-Identification


Sep 19, 2019
Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen


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Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation


Jul 29, 2019
Tong Shen, Dong Gong, Wei Zhang, Chunhua Shen, Tao Mei


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An Effective Two-Branch Model-Based Deep Network for Single Image Deraining


May 14, 2019
Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng

* 10 pages, 9 figures, 3 tables 

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Attention-guided Network for Ghost-free High Dynamic Range Imaging


Apr 23, 2019
Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, Yanning Zhang

* Accepted to appear at CVPR 2019 

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Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection


Apr 04, 2019
Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel


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Knowledge Adaptation for Efficient Semantic Segmentation


Mar 12, 2019
Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan

* Accepted to IEEE Conf. Computer Vision and Pattern Recognition, 2019 

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RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion


Mar 02, 2019
Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid

* CVPR2019 

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Variational Bayesian Dropout


Nov 21, 2018
Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi


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End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging


Oct 23, 2018
Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro

* submitted to 2019 IEEE International Symposium on Biomedical Imaging (ISBI) 

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MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution


Oct 12, 2018
Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang


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Learning an Optimizer for Image Deconvolution


Apr 10, 2018
Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang


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From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur


Dec 08, 2016
Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi


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