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Collaborative Anomaly Detection


Sep 20, 2022
Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Heano, Chong Wang, Lawrence Carin


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Class-Incremental Learning with Strong Pre-trained Models


Apr 07, 2022
Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto

* Accepted at CVPR 2022, code to be released soon 

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ViM: Out-Of-Distribution with Virtual-logit Matching


Mar 21, 2022
Haoqi Wang, Zhizhong Li, Litong Feng, Wayne Zhang

* CVPR 2022 

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MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding


Aug 14, 2021
Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin

* Accepted to ACM MM (Open Source Competition Track) 

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Representation Consolidation for Training Expert Students


Jul 16, 2021
Zhizhong Li, Avinash Ravichandran, Charless Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto


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Learning Curves for Analysis of Deep Networks


Oct 21, 2020
Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal M. Shlapentokh-Rothman


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Regularizing Reasons for Outfit Evaluation with Gradient Penalty


Feb 02, 2020
Xingxing Zou, Zhizhong Li, Ke Bai, Dahua Lin, Waikeung Wong

* 10 pages 

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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion


Dec 18, 2019
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz


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Policy Continuation with Hindsight Inverse Dynamics


Nov 01, 2019
Hao Sun, Zhizhong Li, Xiaotong Liu, Dahua Lin, Bolei Zhou


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