A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Deep supervised learning algorithms typically require a large volume of labeled data to
achieve satisfactory performance. However, the process of collecting and labeling such data …
achieve satisfactory performance. However, the process of collecting and labeling such data …
Camera measurement of physiological vital signs
D McDuff - ACM Computing Surveys, 2023 - dl.acm.org
The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …
measurement of vital signs leverages imaging devices to compute physiological changes by …
Physformer: Facial video-based physiological measurement with temporal difference transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …
physiological signals from facial video without any contact, has great potential in many …
Deep learning for face anti-spoofing: A survey
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …
securing face recognition systems from presentation attacks (PAs). As more and more …
Efficientphys: Enabling simple, fast and accurate camera-based cardiac measurement
Camera-based physiological measurement is a growing field with neural models providing
state-of-the-art performance. Prior research has explored various end-to-end architectures; …
state-of-the-art performance. Prior research has explored various end-to-end architectures; …
Physformer++: Facial video-based physiological measurement with slowfast temporal difference transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …
physiological signals from facial video without any contact, has great potential in many …
Dual-gan: Joint bvp and noise modeling for remote physiological measurement
Remote photoplethysmography (rPPG) based physiological measurement has great
application values in health monitoring, emotion analysis, etc. Existing methods mainly focus …
application values in health monitoring, emotion analysis, etc. Existing methods mainly focus …
Contrast-phys: Unsupervised video-based remote physiological measurement via spatiotemporal contrast
Video-based remote physiological measurement utilizes face videos to measure the blood
volume change signal, which is also called remote photoplethysmography (rPPG) …
volume change signal, which is also called remote photoplethysmography (rPPG) …
The way to my heart is through contrastive learning: Remote photoplethysmography from unlabelled video
The ability to reliably estimate physiological signals from video is a powerful tool in low-cost,
pre-clinical health monitoring. In this work we propose a new approach to remote …
pre-clinical health monitoring. In this work we propose a new approach to remote …
Neuron structure modeling for generalizable remote physiological measurement
Remote photoplethysmography (rPPG) technology has drawn increasing attention in recent
years. It can extract Blood Volume Pulse (BVP) from facial videos, making many applications …
years. It can extract Blood Volume Pulse (BVP) from facial videos, making many applications …