This work focuses on the task of elderly activity recognition, which is a challenging task due
to the existence of individual actions and human-object interactions in elderly activities …

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 …

In this paper, we propose a domain-general model, termed learning-to-weight (LTW), that
guarantees face detection performance across multiple domains, particularly the target …

With various unforeseeable face presentation attacks (PA) springing up, face anti-spoofing
(FAS) urgently needs to generalize to unseen scenarios. Research on generalizable FAS …

With the rapid progress over the past five years, face authentication has become the most
pervasive biometric recognition method. Thanks to the high-accuracy recognition …

In recent years, audio spoofing detection has received widespread attention for protecting
personal privacy and social security. Despite the significant progress achieved in audio …

With the growing popularity of facial recognition (FR) in access control systems, there has
been a corresponding increase in presentation attacks (PAs) to gain unauthorized access …

Face verification is a trending way to verify someone's identity in broad applications. But
such systems are vulnerable to face spoofing attacks via, for example, a fraudulent copy of a …

Face anti-spoofing (FAS) based on domain generalization (DG) has attracted increasing
attention from researchers. The reason for the poor generalization is that the model is …

Face presentation attacks (FPA), also known as face spoofing, have brought increasing
concerns to the public through various malicious applications, such as financial fraud and …