Recent advancement in personalized image generation have unveiled the intriguing
capability of pre-trained text-to-image models on learning identity information from a …

Abstract Domain generalization based Face Anti-spoofing (FAS) aims to enhance its ability
to work in unseen domains. Existing methods endeavor to extract a discriminative common …

Hyperspectral unmixing is a key technology in the development of remote sensing
applications. However, since both endmembers and abundances are unknown, unmixing is …

Out-of-Distribution (OOD) detection is critical for preventing deep learning models from
making incorrect predictions, especially in safety-critical applications such as medical …

Face recognition systems have become increasingly vulnerable to security threats in recent
years, prompting the use of Face Anti-spoofing (FAS) to protect against various types of …

The objective of the hair transfer (HT) task is to maintain the texture and style of the
reference hair while preserving the facial attributes and background. Previous studies …

Facial recognition technologies demonstrate a wide range of application fields. Among them
is the use of facial recognition for recruitment. This has moved from traditional face scanning …

Nowadays, with the advancement of deep neural networks (DNNs) and the availability of
large-scale datasets, the face recognition (FR) model has achieved exceptional …