The salience map is a crucial concept for many theories of visual attention. On this map,
each object in the scene competes for selection–the more conspicuous the object, the …

We evaluate the applicability of a biologically-motivated algorithm to select visually-salient
regions of interest in video streams for multiply-foveated video compression. Regions are …

We investigated the contribution of low-level saliency to human eye movements in complex
dynamic scenes. Eye movements were recorded while naive observers viewed a …

Object detection and recognition is a topic of significant interest in computer and robot
vision. It is required in most applications of computational vision, for example, biometric …

We describe a neurobiological model of visual attention and eye/head movements in
primates, and its application to the automatic animation of a realistic virtual human head …

This paper addresses the problem of detecting salient areas within natural images. We shall
mainly study the problem under unsupervised setting, ie, saliency detection without learning …

A key problem in learning representations of multiple objects from unlabeled images is that it
is a priori impossible to tell which part of the image corresponds to each individual object …

Visual exploration is driven by two main factors–the stimuli in our environment, and our own
individual interests and intentions. Research investigating these two aspects of attentional …

Computer vision attention processes assign variable-hypothesized importance to different
parts of the visual input and direct the allocation of computational resources. This …

Advances in computer graphics enable us to create digital images of astonishing complexity
and realism. However, processing resources are still a limiting factor. Hence, many costly …