AI RESEARCH
HOT: Harmonic-Constrained Optimal Transport for Remote Photoplethysmography Domain Adaptation
arXiv CS.CV
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ArXi:2604.01675v1 Announce Type: new Remote photoplethysmography (rPPG) enables non-contact physiological measurement from facial videos; however, its practical deployment is often hindered by substantial performance degradation under domain shift. While recent deep learning-based rPPG methods have achieved strong performance on individual datasets, they frequently overfit to appearance-related factors, such as illumination, camera characteristics, and color response, that vary significantly across domains. To address this limitation, we.