Facial expression recognition (FER) in the wild is challenging due to the disturbing factors
including pose variation, occlusions, and illumination variation. The attention mechanism …

Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics
as it helps to identify emotions expressed through facial expressions. Anatomically, there are …

To better characterize the differences in category features in Facial Expression Recognition
(FER) tasks, and improve inter-class separability and intra-class compactness, we propose a …

Representation learning and feature disentanglement have garnered significant research
interest in the field of facial expression recognition (FER). The inherent ambiguity of emotion …

Human body actions are an important form of non-verbal communication in social
interactions. This paper focuses on a specific subset of body actions known as micro …

Socially shared regulation plays a pivotal role in the success of collaborative learning.
However, evaluating socially shared regulation of learning (SSRL) proves challenging due …

Emotion analysis, an integral aspect of human–machine interactions, has witnessed
significant advancements in recent years. With the rise of multimodal data sources such as …

Multimodal emotion recognition implies the use of different resources and techniques for
identifying and recognizing human emotions. A variety of data sources such as faces …

Abstract Facial Expression Recognition (FER) is garnered considerable interest in the field
of computer vision. Being a challenging task, it faces some key problems such as inter-class …

In the recent years, there has been a shift in facial behavior analysis from the laboratory-
controlled conditions to the challenging in-the-wild conditions due to the superior …