Facial Expression Recognition (FER) is presently the aspect of cognitive and affective
computing with the most attention and popularity, aided by its vast application areas. Several …

This paper presents an efficiently robust facial expression recognition (FER) network, named
EfficientFace, which holds much fewer parameters but more robust to the FER in the wild …

Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …

Crowd sourcing has become a widely adopted scheme to collect ground truth labels.
However, it is a well-known problem that these labels can be very noisy. In this paper, we …

Many existing studies reveal that annotation inconsistency widely exists among a variety of
facial expression recognition (FER) datasets. The reason might be the subjectivity of human …

Despite significant progress over the past few years, ambiguity is still a key challenge in
Facial Expression Recognition (FER). It can lead to noisy and inconsistent annotation, which …

Although multi-label learning can deal with many problems with label ambiguity, it does not
fit some real applications well where the overall distribution of the importance of the labels …

Age estimation has broad application prospects of many fields, such as video surveillance,
social networking, and human-computer interaction. However, many of the published age …

Assessing action quality from videos has attracted growing attention in recent years. Most
existing approaches usually tackle this problem based on regression algorithms, which …

Label distribution is more general than both single-label annotation and multi-label
annotation. It covers a certain number of labels, representing the degree to which each label …