This article aims to summarize and describe research on the topic of automatic group
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …

This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The
EmotiW benchmarking platform provides researchers with an opportunity to evaluate their …

With the advancement of artificial intelligence (AI) technology, group-level emotion
recognition (GER) has emerged as an important area in analyzing human behavior. Early …

During group interactions, we react and modulate our emotions and behaviour to the group
through phenomena including emotion contagion and physiological synchrony. Previous …

Group emotion recognition (GER) from image has attracted much attention in recent years.
Networks using attention mechanism for GER have shown great potential. However, the …

Social robotics is an emerging area that is becoming present in social spaces, by
introducing autonomous social robots. Social robots offer services, perform tasks, and …

This paper proposes a database for group level emotion recognition in videos. The
motivation is coming from the large number of information which the users are sharing …

A graph neural network (GNN) for image understanding based on multiple cues is proposed
in this paper. Compared to traditional feature and decision fusion approaches that neglect …

In this paper we propose a new approach for classifying the global emotion of images
containing groups of people. To achieve this task, we consider two different and …

This paper presents a hybrid deep learning network submitted to the 6th Emotion
Recognition in the Wild (EmotiW 2018) Grand Challenge [9], in the category of group-level …