Facial emotion recognition (FER) is significant for human-computer interaction such as
clinical practice and behavioral description. Accurate and robust FER by computer models …

In facial expression recognition (FER), the uncertainties introduced by inherent noises like
ambiguous facial expressions and inconsistent labels raise concerns about the credibility of …

Facial expression recognition has been an active area of research over the past few
decades, and it is still challenging due to the high intra-class variation. Traditional …

We report our image based static facial expression recognition method for the Emotion
Recognition in the Wild Challenge (EmotiW) 2015. We focus on the sub-challenge of the …

We present an approach that combines automatic features learned by convolutional neural
networks (CNN) and handcrafted features computed by the bag-of-visual-words (BOVW) …

Abstract The ICML 2013 Workshop on Challenges in Representation Learning focused on
three challenges: the black box learning challenge, the facial expression recognition …

This paper describes our approach towards robust facial expression recognition (FER) for
the third Emotion Recognition in the Wild (EmotiW2015) challenge. We train multiple deep …

Emotions constitute an innate and important aspect of human behavior that colors the way of
human communication. The accurate analysis and interpretation of the emotional content of …

As stated by Spock,“change is the essential process of all existence,” which is reflected in
everyday applications in our daily lives. We, as humans, just need to find a way to make the …

Affective computing is a nascent field situated at the intersection of artificial intelligence with
social and behavioral science. It studies how human emotions are perceived and …