Multiple Feature Mining Based on Local Correlation and Frequency Information for Face Forgery Detection

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]

@inproceedings{LiuJJHZYW22,
  title = {Multiple Feature Mining Based on Local Correlation and Frequency Information for Face Forgery Detection},
  author = {Shuai Liu 0009 and Qian Jiang and Xin Jin 0005 and Zhenli He and Wei Zhou 0011 and Shaowen Yao 0001 and Qiannian Wang},
  year = {2022},
  doi = {10.1109/ICTAI56018.2022.00204},
  url = {https://doi.org/10.1109/ICTAI56018.2022.00204},
  researchr = {https://researchr.org/publication/LiuJJHZYW22},
  cites = {0},
  citedby = {0},
  pages = {1347-1354},
  booktitle = {34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022},
  editor = {Marek Z. Reformat and Du Zhang and Nikolaos G. Bourbakis},
  publisher = {IEEE},
  isbn = {979-8-3503-9744-4},
}