The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …

With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

Multi-Task Learning has emerged as a methodology in which multiple tasks are jointly
learned by a shared learning algorithm, such as a DNN. MTL is based on the assumption …

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 …

Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …

A facial expression recognition system that can provide quick assistance to the healthcare
system and exceptional services to the patients is proposed in this article. The …

Facial expression recognition (FER) is a challenging task due to different expressions under
arbitrary poses. Most conventional approaches either perform face frontalization on a non …

Fueled by innovation in the computer vision and artificial intelligence communities, recent
developments in computational neuroscience have used goal-driven hierarchical …

Automatic facial behavior analysis has a long history of studies in the intersection of
computer vision, physiology and psychology. However it is only recently, with the collection …

The ability to recognize facial expressions automatically enables novel applications in
human-computer interaction and other areas. Consequently, there has been active research …