X-iPPGNet: A novel one stage deep learning architecture based on depthwise separable convolutions for video-based pulse rate estimation

Yassine Ouzar, Djamaleddine Djeldjli, Frédéric Bousefsaf, Choubeila Maaoui. X-iPPGNet: A novel one stage deep learning architecture based on depthwise separable convolutions for video-based pulse rate estimation. Comp. in Bio. and Med., 154:106592, March 2023. [doi]

@article{OuzarDBM23,
  title = {X-iPPGNet: A novel one stage deep learning architecture based on depthwise separable convolutions for video-based pulse rate estimation},
  author = {Yassine Ouzar and Djamaleddine Djeldjli and Frédéric Bousefsaf and Choubeila Maaoui},
  year = {2023},
  month = {March},
  doi = {10.1016/j.compbiomed.2023.106592},
  url = {https://doi.org/10.1016/j.compbiomed.2023.106592},
  researchr = {https://researchr.org/publication/OuzarDBM23},
  cites = {0},
  citedby = {0},
  journal = {Comp. in Bio. and Med.},
  volume = {154},
  pages = {106592},
}