Junzhe Cao — accepted AI-conference papers

2026

FLOW: Optimal Transport-Driven Feature Warping for Generalized Remote Physiological Measurement

Bo Zhao, Junzhe Cao, Dan Guo, Dongmin Huang, Wenjin Wang, Tao Tan +2

CVPR 2026

Remote photoplethysmography (rPPG) enables non-contact physiological measurement from facial videos but often suffers from severe performance degradation under domain shifts. Traditional STMap-based methods [??] rely on predefined spatio-temporal representations that offer engineered robustness but

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2026

PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement

Bo Zhao, Dan Guo, Junzhe Cao, Yong Xu, Bochao Zou, Tao Tan +2

CVPR 2026

Remote photoplethysmography (rPPG) measurement enables non-contact physiological monitoring but suffers from accuracy degradation under head motion and illumination changes. Existing deep learning methods are mostly heuristic and lack theoretical grounding, limiting robustness and interpretability.

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