Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …

Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of
the human body. While traditional HR monitors usually require contact with skin, remote …

Unsupervised domain adaptation (UDA) aims to transfer knowledge learned from a labeled
source domain to a different unlabeled target domain. Most existing UDA methods focus on …

Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

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; …

Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

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 …

The availability of handy multi-modal (ie, RGB-D) sensors has brought about a surge of face
anti-spoofing research. However, the current multi-modal face presentation attack detection …

Camera-based physiological measurement is a fast growing field of computer vision.
Remote photoplethysmography (rPPG) utilizes imaging devices (eg, cameras) to measure …

Abstract Convolutional Neural Networks (CNNs) have dominated computer vision for years,
due to its ability in capturing locality and translation invariance. Recently, many vision …