It is commonly assumed that a person's emotional state can be readily inferred from his or
her facial movements, typically called emotional expressions or facial expressions. This …

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 …

Automated affective computing in the wild setting is a challenging problem in computer
vision. Existing annotated databases of facial expressions in the wild are small and mostly …

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 The Affect-in-the-Wild (Aff-Wild) Challenge proposes a new comprehensive
benchmark for assessing the performance of facial affect/behaviour analysis …

Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Facial expression recognition (FER) is increasingly gaining importance in various emerging
affective computing applications. In practice, achieving accurate FER is challenging due to …

Multimodal recognition of affective states is a difficult problem, unless the recording
conditions are carefully controlled. For recognition “in the wild”, large variances in face pose …

Recently, there are increasing interests in inferring mirco-expression from facial image
sequences. For micro-expression recognition, feature extraction is an important critical …

We introduce DAiSEE, the first multi-label video classification dataset comprising of 9068
video snippets captured from 112 users for recognizing the user affective states of boredom …