Publications

Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool (2022). Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV.

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Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool (2022). Reference-based Image Super-Resolution with Deformable Attention Transformer. ECCV.

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Jingyun Liang, Jiezhang Cao, uolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte (2021). SwinIR: Image Restoration Using Swin Transformer. ICCVW.

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Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan (2020). Improving Generative Adversarial Networks with Local Coordinate Coding. TPAMI.

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Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan (2020). Generative Low-bitwidth Data Free Quantization. ECCV.

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Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan (2020). Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution. CVPR.

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Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan (2019). Multi-marginal Wasserstein GAN. NeurIPS.

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Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Kwok-Po Ng, Huaqing Min, Qingyao Wu (2019). Oversampling for Imbalanced Data via Optimal Transport. AAAI.

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Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan (2018). Adversarial Learning with Local Coordinate Coding. ICML.

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Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan (2017). On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML.

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