Deep Learning for Remote Heart Rate Estimation: A Reproducible and Optimal State-of-the-Art Framework

Nelida Mirabet Herranz, Khawla Mallat, Jean-Luc Dugelay. Deep Learning for Remote Heart Rate Estimation: A Reproducible and Optimal State-of-the-Art Framework. In Jean-Jacques Rousseau, Bill Kapralos, editors, Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges - Montreal, QC, Canada, August 21-25, 2022, Proceedings, Part I. Volume 13643 of Lecture Notes in Computer Science, pages 558-573, Springer, 2022. [doi]

Abstract

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