Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Human emotion recognition through artificial intelligence is one of the most popular
research fields among researchers nowadays. The fields of Human Computer Interaction …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

This paper presents a novel and efficient deep fusion convolutional neural network (DF-
CNN) for multimodal 2D+ 3D facial expression recognition (FER). DF-CNN comprises a …

Although Transformer can be powerful for modeling visual relations and describing
complicated patterns, it could still perform unsatisfactorily for video-based facial expression …

Video-based facial expression recognition (FER) has received increased attention as a
result of its widespread applications. However, a video often contains many redundant and …

We present a fully automatic multimodal 2D+ 3D feature-based facial expression recognition
approach and demonstrate its performance on the BU–3DFE database. Our approach …

In recent years, facial expression analysis and recognition (FER) have emerged as an active
research topic with applications in several different areas, including the human-computer …

Facial information plays an important role in human communication, eg, rich and nuanced
facial expressions effectively convey emotions. Traditional data such as 2D facial images …

The three-dimensional representation of the human face has emerged as a viable and
effective way to characterize the facial surface for expression classification purposes. The …