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Video Super-Resolution Transformer


Jun 12, 2021
Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool


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LocalViT: Bringing Locality to Vision Transformers


Apr 12, 2021
Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool


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Internal Wasserstein Distance for Adversarial Attack and Defense


Mar 13, 2021
Jincheng Li, Jiezhang Cao, Shuhai Zhang, Yanwu Xu, Jian Chen, Mingkui Tan


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Learning Defense Transformers for Counterattacking Adversarial Examples


Mar 13, 2021
Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan


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Improving Generative Adversarial Networks with Local Coordinate Coding


Jul 28, 2020
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

* 20 pages, 5 figures 

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A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays


Mar 31, 2020
Chendi Rao, Jiezhang Cao, Runhao Zeng, Qi Chen, Huazhu Fu, Yanwu Xu, Mingkui Tan


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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution


Mar 16, 2020
Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan

* This paper is accepted by CVPR 2020 

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Generative Low-bitwidth Data Free Quantization


Mar 07, 2020
Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan


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Online Adaptive Asymmetric Active Learning with Limited Budgets


Nov 18, 2019
Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan

* IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 

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Multi-marginal Wasserstein GAN


Nov 03, 2019
Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

* This paper is accepted by NeurIPS 2019 

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Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss


Sep 19, 2018
Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan


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Adversarial Learning with Local Coordinate Coding


Jun 14, 2018
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

* 14 pages, 7 figures, 4 tables 

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