Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a f...
Learning generalized face anti-spoofing (FAS) models against presentatio...
Facial Action Unit (AU) detection is a crucial task in affective computi...
Recently, vision transformer based multimodal learning methods have been...
The rapid advancements in computer vision have stimulated remarkable pro...
There is an important need for methods to reduce radiation dose and imag...
Remote photoplethysmography (rPPG) is an important technique for perceiv...
Face Anti-Spoofing (FAS) is recently studied under the continual learnin...
Remote photoplethysmography (rPPG) technology has drawn increasing atten...
Artificial intelligence-based methods have generated substantial interes...
Deep-learning (DL)-based methods have shown significant promise in denoi...
The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn...
Recently, vision transformer (ViT) based multimodal learning methods hav...
Detecting deception by human behaviors is vital in many fields such as c...
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
Face recognition technology has been widely used in daily interactive
ap...
Remote photoplethysmography (rPPG) enables non-contact heart rate (HR)
e...
Developing lightweight Deep Convolutional Neural Networks (DCNNs) and Vi...
Recapture detection of face and document images is an important forensic...
Face anti-spoofing (FAS) and face forgery detection play vital roles in
...
Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learni...
Multiple objective assessment of image-quality-based studies have report...
Face Presentation Attack Detection (PAD) is an important measure to prev...
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
Face presentation attack detection (PAD) has received increasing attenti...
We present a customized 3D mesh Transformer model for the pose transfer ...
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
Face anti-spoofing (FAS) secures face recognition from presentation atta...
Recently, deep Convolutional Neural Networks (CNNs) can achieve human-le...
The threat of 3D masks to face recognition systems is increasingly serio...
We introduce a new dataset for the emotional artificial intelligence
res...
Face anti-spoofing (FAS) has lately attracted increasing attention due t...
Automatic pain recognition is paramount for medical diagnosis and treatm...
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
3D mask face presentation attack detection (PAD) plays a vital role in
s...
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
To address the problem of training on small datasets for action recognit...
Remote physiological measurements, e.g., remote photoplethysmography (rP...
Face anti-spoofing (FAS) plays a vital role in securing the face recogni...
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
Remote measurement of physiological signals from videos is an emerging t...
Face anti-spoofing is critical to the security of face recognition syste...
Face anti-spoofing (FAS) plays a vital role in face recognition systems....
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
Recently average heart rate (HR) can be measured relatively accurately f...
Deep part-based methods in recent literature have revealed the great
pot...