Conversational agents (CAs) are software-based systems designed to interact with humans
using natural language and have attracted considerable research interest in recent years …

Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

The rhesus macaque is an important model species in several branches of science,
including neuroscience, psychology, ethology, and medicine. The utility of the macaque …

One key challenging issue of facial expression recognition is to capture the dynamic
variation of facial physical structure from videos. In this paper, we propose a part-based …

We propose a filtering feature selection framework that considers subsets of features as
paths in a graph, where a node is a feature and an edge indicates pairwise (customizable) …

This book describes the theoretical foundations of cognitive infocommunications
(CogInfoCom), and provides a survey on state-of-the-art solutions and applications within …

Abstract Facial Expression Recognition (FER) has long been a challenging task in the field
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …

Background Assessment of mother-child interactions is a core issue of early child
development and psychopathology. This paper focuses on the concept of “synchrony” and …

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 …

Abstract The INTERSPEECH 2013 Computational Paralinguistics Challenge provides for
the first time a unified test-bed for Social Signals such as laughter in speech. It further …