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GhostSR: Learning Ghost Features for Efficient Image Super-Resolution


Jan 21, 2021
Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang

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A Survey on Visual Transformer


Jan 15, 2021
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

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Pre-Trained Image Processing Transformer


Dec 03, 2020
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

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Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets


Oct 28, 2020
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang

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* NeurIPS 2020 

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SCOP: Scientific Control for Reliable Neural Network Pruning


Oct 21, 2020
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

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* This paper is accepted by NeurIPS 2020. Key words: Filter Pruning, Adversarial Pruning, Network Compression, CNN, Deep Learning 

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Kernel Based Progressive Distillation for Adder Neural Networks


Oct 15, 2020
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

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* Accepted by NeurIPS 2020, spotlight 

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Training Binary Neural Networks through Learning with Noisy Supervision


Oct 10, 2020
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

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* ICML 2020 

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AdderSR: Towards Energy Efficient Image Super-Resolution


Sep 27, 2020
Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, DaCheng Tao

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