Multiple Feature Mining Based on Local Correlation and Frequency Information for Face Forgery Detection - researchr publication authors

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Shuai Liu 0009, Qian Jiang, Xin Jin 0005, Zhenli He, Wei Zhou 0011, Shaowen Yao 0001, Qiannian Wang. Multiple Feature Mining Based on Local Correlation and Frequency Information for Face Forgery Detection. In Marek Z. Reformat, Du Zhang, Nikolaos G. Bourbakis, editors, 34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022. pages 1347-1354, IEEE, 2022. [doi]

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