Jeremy Speth — accepted AI-conference papers

2024

Freq2Time: Weakly Supervised Learning of Camera-Based RPPG from Heart Rate

Jeremy Speth, Korosh Vatanparvar, Li Zhu, Jilong Kuang, Alex Gao

ICASSP 2024accepted

Camera-based pulse measurements from remote photoplethysmography (rPPG) have rapidly improved over recent years due to innovations in video processing and deep learning. However, modern data-driven solutions require large training datasets collected under diverse conditions. Collecting such training…

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2023

Non-Contrastive Unsupervised Learning of Physiological Signals From Video

Jeremy Speth, Nathan Vance, Patrick Flynn, Adam Czajka

CVPR 2023highlight

Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are currently driven by deep learning solutions. However, modern…

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