It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …

Facial action units (AU) have strong mutual correlation. How to explore fine-grained AU
regional features from different dimensions while adding inter-AU correlational information is …

Abstract Facial Action Unit (AU) recognition is a challenging problem, where the subtle
muscle movement brings diverse AU representations. Recently, AU relations are utilized to …

The Facial Action Coding System (FACS) encodes the action units (AUs) in facial images,
which has attracted extensive research attention due to its wide use in facial expression …

Graph Neural Networks (GNNs) are increasingly becoming the favorite method for graph
learning. They exploit the semi-supervised nature of deep learning, and they bypass …

Facial expression analysis is a crucial area of research for understanding human emotions.
One important approach to this is the automatic detection of facial action units (AUs), which …

Emotional problems such as anxiety, stress and tension may have a long-term impact on
athletes' competitive performance and physical and mental health. The identification method …

It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …

This study proposes a group information recommendation (GIR) model to accurately and
comprehensively explore group preferences and enhances complex groups' …