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

Cite

Text

Song et al. "Deep Learning-Based Assessment of Facial Periodic Affect in Work-like Settings." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25072-9_20

Markdown

[Song et al. "Deep Learning-Based Assessment of Facial Periodic Affect in Work-like Settings." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/song2022eccvw-deep/) doi:10.1007/978-3-031-25072-9_20

BibTeX

@inproceedings{song2022eccvw-deep,
  title     = {{Deep Learning-Based Assessment of Facial Periodic Affect in Work-like Settings}},
  author    = {Song, Siyang and Luo, Yiming and Ronca, Vincenzo and Borghini, Gianluca and Sagha, Hesam and Rick, Vera Barbara and Mertens, Alexander and Gunes, Hatice},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {307-322},
  doi       = {10.1007/978-3-031-25072-9_20},
  url       = {https://mlanthology.org/eccvw/2022/song2022eccvw-deep/}
}