Capturing the Persistence of Facial Expression Features for Deepfake Video Detection.
https://doi.org/10.1007/978-3-030-41579-2_37
@inproceedings{DBLP:conf/icics/ZhaoGLWZM19,
author = {Yiru Zhao and
Wanfeng Ge and
Wenxin Li and
Run Wang and
Lei Zhao and
Jiang Ming},
editor = {Jianying Zhou and
Xiapu Luo and
Qingni Shen and
Zhen Xu},
title = {Capturing the Persistence of Facial Expression Features for Deepfake
Video Detection},
booktitle = {Information and Communications Security - 21st International Conference,
{ICICS} 2019, Beijing, China, December 15-17, 2019, Revised Selected
Papers},
series = {Lecture Notes in Computer Science},
volume = {11999},
pages = {630--645},
publisher = {Springer},
year = {2019},
url = {https://doi.org/10.1007/978-3-030-41579-2\_37},
doi = {10.1007/978-3-030-41579-2\_37},
timestamp = {Mon, 02 Mar 2020 17:19:02 +0100},
biburl = {https://dblp.org/rec/conf/icics/ZhaoGLWZM19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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