most citedNon-Contrastive Unsupervised Learning of Physiological Signals from Video

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Promoting Generalization in Cross-Dataset Remote Photoplethysmography

Nathan Vance, Jeremy Speth, Benjamin Sporrer +1

Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models. While c…

cs.CV2023

Full-Body Cardiovascular Sensing with Remote Photoplethysmography

Lu Niu, Jeremy Speth, Nathan Vance +3

Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of…

cs.CV20232 cited

Non-Contrastive Unsupervised Learning of Physiological Signals from Video

Jeremy Speth, Nathan Vance, Patrick Flynn +1

Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse esti…

cs.CV20232 cited

Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation

Jeremy Speth, Nathan Vance, Benjamin Sporrer +3

Camera-based physiological monitoring, especially remote photoplethysmography (rPPG), is a promising tool for health diagnostics, and state-of-the-art pulse estimators have shown i…

cs.CV20221 cited

State Of The Art In Open-Set Iris Presentation Attack Detection

Aidan Boyd, Jeremy Speth, Lucas Parzianello +2

Research in presentation attack detection (PAD) for iris recognition has largely moved beyond evaluation in "closed-set" scenarios, to emphasize ability to generalize to presentati…