Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-learner
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- 19 November 2020
- book chapter
- Published by Springer Nature
- p. 392-409
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- Rank consistent ordinal regression for neural networks with application to age estimationPattern Recognition Letters, 2020
- 3D Convolutional Neural Networks for Remote Pulse Rate Measurement and Mapping from Facial VideoApplied Sciences, 2019
- Unsupervised skin tissue segmentation for remote photoplethysmographyPattern Recognition Letters, 2019
- DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks2018
- Dynamic Few-Shot Visual Learning Without Forgetting2018
- Predicting Progression of Alzheimer’s Disease Using Ordinal RegressionPLOS ONE, 2014
- Microflotronic Arterial Tonometry for Continuous Wearable Non-Invasive Hemodynamic MonitoringAnnals of Biomedical Engineering, 2014
- Robust Pulse Rate From Chrominance-Based rPPGIEEE Transactions on Biomedical Engineering, 2013
- Detecting Pulse from Head Motions in Video2013
- Heart rate monitoring via remote photoplethysmography with motion artifacts reductionOptics Express, 2010