This paper presents a new computational framework for modelling visual-object based attention and attention-driven eye movements within an integrated system in a biologically insp...
Yaoru Sun, Robert B. Fisher, Fang Wang, Herman Mar...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
The innovation of this work is the provision of a system that learns visual encodings of attention patterns and that enables sequential attention for object detection in real world...
In this paper we propose an attention-based vision system for the JAST interactive dialog robot. The robotic vision system incorporates three submodules: object recognition, gestu...
It is now commonly assumed that the human visual attention, which is a selecting process of the most relevant locations in a scene according to a particular behavior, is driven by...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...