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 …

Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

The three-dimensional convolutional neural network (3D-CNN) and long short-term memory
(LSTM) have consistently outperformed many approaches in video-based facial expression …

With the recent development and application of human–computer interaction systems, facial
expression recognition (FER) has become a popular research area. The recognition of facial …

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 …

In the last few years, the multi-modal emotion recognition has become an important research
issue in the affective computing community due to its wide range of applications that include …

Rapid development of artificial intelligence (AI) systems amplify many concerns in society.
These AI algorithms inherit different biases from humans due to mysterious operational flow …

Automatic recognition of facial expressions in the wild is a challenging problem and has
drawn a lot of attention from the computer vision and pattern recognition community. Since …

In the past decade, facial emotion recognition (FER) research saw tremendous progress,
which led to the development of novel convolutional neural network (CNN) architectures for …

In this paper, we present a video-based emotion recognition neural network operating on
three dimensions. We show that 3D convolutional neural networks (3D-CNN) can be very …