In this chapter we consider the problem of automatic facial expression analysis. Our take on
this is that the field has reached a point where it needs to move away from considering …

The face is one of the most powerful channels of nonverbal communication. Facial
expression provides cues about emotion, intention, alertness, pain, personality, regulates …

We present in this paper a new multimodal corpus of spontaneous collaborative and
affective interactions in French: RECOLA, which is being made available to the research …

Building upon state-of-the-art algorithms for pedestrian detection and multi-object tracking,
and inspired by sociological models of human collective behavior, we automatically detect …

Social Signal Processing is the research domain aimed at bridging the social intelligence
gap between humans and machines. This paper is the first survey of the domain that jointly …

This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

Understanding the basis on which recruiters form hirability impressions for a job applicant is
a key issue in organizational psychology and can be addressed as a social computing …

We present a novel approach for detecting social interactions in a crowded scene by
employing solely visual cues. The detection of social interactions in unconstrained scenarios …

Identifying emergent leaders in organizations is a key issue in organizational behavioral
research, and a new problem in social computing. This paper presents an analysis on how …

Despite an increasing interest in understanding human perception in social media through
the automatic analysis of users' personality, existing attempts have explored user profiles …