Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings

Siyang Song, Yiming Luo, Vincenzo Ronca, Gianluca Borghini, Hesam Sagha, Vera Barbara Rick, Alexander Mertens, Hatice Gunes. Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V. Volume 13805 of Lecture Notes in Computer Science, pages 307-322, Springer, 2022. [doi]

@inproceedings{SongLRBSRMG22,
  title = {Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings},
  author = {Siyang Song and Yiming Luo and Vincenzo Ronca and Gianluca Borghini and Hesam Sagha and Vera Barbara Rick and Alexander Mertens and Hatice Gunes},
  year = {2022},
  doi = {10.1007/978-3-031-25072-9_20},
  url = {https://doi.org/10.1007/978-3-031-25072-9_20},
  researchr = {https://researchr.org/publication/SongLRBSRMG22},
  cites = {0},
  citedby = {0},
  pages = {307-322},
  booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V},
  editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
  volume = {13805},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25072-9},
}