A Mixture-of-Experts (MoE) Framework for Pose-Invariant Face Recognition via Local Landmark-Centered Feature Extraction

Paulo E. Linares Otoya, Shinfeng D. Lin. A Mixture-of-Experts (MoE) Framework for Pose-Invariant Face Recognition via Local Landmark-Centered Feature Extraction. In Chao-Yang Lee, Chun-Li Lin, Hsuan-Ting Chang, editors, Technologies and Applications of Artificial Intelligence - 28th International Conference, TAAI 2023, Yunlin, Taiwan, December 1-2, 2023, Proceedings, Part II. Volume 2075 of Communications in Computer and Information Science, pages 40-52, Springer, 2023. [doi]

@inproceedings{OtoyaL23,
  title = {A Mixture-of-Experts (MoE) Framework for Pose-Invariant Face Recognition via Local Landmark-Centered Feature Extraction},
  author = {Paulo E. Linares Otoya and Shinfeng D. Lin},
  year = {2023},
  doi = {10.1007/978-981-97-1714-9_4},
  url = {https://doi.org/10.1007/978-981-97-1714-9_4},
  researchr = {https://researchr.org/publication/OtoyaL23},
  cites = {0},
  citedby = {0},
  pages = {40-52},
  booktitle = {Technologies and Applications of Artificial Intelligence - 28th International Conference, TAAI 2023, Yunlin, Taiwan, December 1-2, 2023, Proceedings, Part II},
  editor = {Chao-Yang Lee and Chun-Li Lin and Hsuan-Ting Chang},
  volume = {2075},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-97-1714-9},
}