Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

Nanoscale devices, also called nanomachines, form communication networks and
cooperate with each other so that they can be used to perform complicated tasks. Such …

We study the machine's understanding of embodied reference: One agent uses both
language and gesture to refer to an object to another agent in a shared physical …

Learning computational models for visual attention (saliency estimation) is an effort to inch
machines/robots closer to human visual cognitive abilities. Data-driven efforts have …

Humans predominantly use verbal utterances and nonverbal gestures (eg, eye gaze and
pointing gestures) in their natural interactions. For instance, pointing gestures and verbal …

Humans communicate about objects using language, gesture, and context, fusing
information from multiple modalities over time. Robots need to interpret this communication …

Humans naturally use verbal utterances and nonverbal gestures to refer to various objects
(known as $\textit {referring expressions} $) in different interactional scenarios. As collecting …

Joint attention, which is the ability of coordination of a common point of reference with the
communicating party, emerges as a key factor in various interaction scenarios. This paper …

Gaze direction provides an important and ubiquitous communication channel in daily
behavior and social interaction of humans and some animals. While several studies have …

This review intends to provide an overview of the state of the art in the modeling and
implementation of automatic attentional mechanisms for socially interactive robots. Humans …