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 …

Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …

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 …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

Automatic understanding of human affect using visual signals is of great importance in
everyday human–machine interactions. Appraising human emotional states, behaviors and …

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 first Multimodal Emotion Recognition Challenge (MER 2023) 1 was successfully held at
ACM Multimedia. The challenge focuses on system robustness and consists of three distinct …

We introduce a new dataset for the emotional artificial intelligence research: identity-free
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …

This paper addresses the question of emotion classification. The task consists in predicting
emotion labels (taken among a set of possible labels) best describing the emotions …

This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW
2018 is a grand challenge in the ACM International Conference on Multimodal Interaction …