As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …

Abstract Facial Action Coding System is the most influential sign judgment method for facial
behavior, and it is a comprehensive and anatomical system which could encode various …

Due to the subjective annotation and the inherent inter-class similarity of facial expressions,
one of key challenges in Facial Expression Recognition (FER) is the annotation ambiguity …

A facial expression is a combination of an expressive component and a neutral component
of a person. In this paper, we propose to recognize facial expressions by extracting …

Abstract Facial Expression Recognition (FER) has achieved remarkable progress as a result
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …

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 efforts towards evaluation standards in facial expression analysis (eg FERA 2011),
there is a need for up-to-date standardised evaluation procedures, focusing in particular on …

A system that could automatically analyze the facial actions in real time has applications in a
wide range of different fields. However, developing such a system is always challenging due …

The field of Automatic Facial Expression Analysis has grown rapidly in recent years.
However, despite progress in new approaches as well as benchmarking efforts, most …

Deep learning based facial expression recognition (FER) has received a lot of attention in
the past few years. Most of the existing deep learning based FER methods do not consider …