Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …

We present AMIGOS-A dataset for Multimodal research of affect, personality traits and mood
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …

Our daily human life is filled with a myriad of joint action moments, be it children playing,
adults working together (ie, team sports), or strangers navigating through a crowd. Joint …

This paper introduces a multimodal emotion recognition system based on two different
modalities, ie, affective speech and facial expression. For affective speech, the common low …

With the advances in multimedia and the world wide web, users upload millions of images
and videos everyone on social networking platforms on the Internet. From the perspective of …

Recognition and analysis of human affect has been researched extensively within the field
of computer science in the past two decades. However, most of the past research in …

This paper aims to bridge the affective gap between image content and the emotional
response of the viewer it elicits by using High-Level Concepts (HLCs). In contrast to previous …

Image captioning is an increasingly important problem associated with artificial intelligence,
computer vision, and natural language processing. Recent works revealed that it is possible …

Widespread and pervasive adoption of smartphones has led to instant sharing of
photographs that capture events ranging from mundane to life-altering happenings. We …

Crowd type identification is a crucial task in the emergency alert. In this paper, to solve
accurate identification of crowd type, the crowd type description triad C-BMO< Behavior …