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Towards In-distribution Compatibility in Out-of-distribution Detection


Aug 29, 2022
Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu


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Towards Efficient Adversarial Training on Vision Transformers


Jul 21, 2022
Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu


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WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection


Mar 16, 2022
Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

* Accepted by ICLR 2022 

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Attacking Adversarial Attacks as A Defense


Jun 09, 2021
Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu


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Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework


Oct 10, 2020
Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

* 9 pages, 3 figures 

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Does Network Width Really Help Adversarial Robustness?


Oct 03, 2020
Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

* 19 pages, 4 tables, 4 figures 

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Correlation Maximized Structural Similarity Loss for Semantic Segmentation


Oct 19, 2019
Shuai Zhao, Boxi Wu, Wenqing Chu, Yao Hu, Deng Cai


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Improving Semantic Segmentation via Dilated Affinity


Jul 27, 2019
Boxi Wu, Shuai Zhao, Wenqing Chu, Zheng Yang, Deng Cai

* 10 pages, 5 figures, under review of NIPS2019 

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