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X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation


Mar 16, 2022
Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Wang Kun, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao

* 12 pages, 4 figures 

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ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results


Dec 15, 2021
Yinan He, Lu Sheng, Jing Shao, Ziwei Liu, Zhaofan Zou, Zhizhi Guo, Shan Jiang, Curitis Sun, Guosheng Zhang, Keyao Wang, Haixiao Yue, Zhibin Hong, Wanguo Wang, Zhenyu Li, Qi Wang, Zhenli Wang, Ronghao Xu, Mingwen Zhang, Zhiheng Wang, Zhenhang Huang, Tianming Zhang, Ningning Zhao

* Technical report. Challenge website: https://competitions.codalab.org/competitions/33386 

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INTERN: A New Learning Paradigm Towards General Vision


Nov 16, 2021
Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao


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ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis


Mar 09, 2021
Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu

* 17 pages, 11 figures, Accepted to CVPR 2021 (Oral), project webpage: https://yinanhe.github.io/projects/forgerynet.html 

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