Whether overt attention in natural scenes is guided by object content or by low-level stimulus
features has become a matter of intense debate. Experimental evidence seemed to indicate …

The relation of selective attention to understanding of natural scenes has been subject to
intense behavioral research and computational modeling, and gaze is often used as a proxy …

Predicting where people look in natural scenes has attracted a lot of interest in computer
vision and computational neuroscience over the past two decades. Two seemingly …

How do we decide which objects in a visual scene are more interesting? While intuition may
point toward high-level object recognition and cognitive processes, here we investigate the …

Two contrasting views of visual attention in scenes are the visual salience and the cognitive
relevance hypotheses. They fundamentally differ in their conceptualization of the …

The role of the binocular disparity in the deployment of visual attention is examined in this
paper. To address this point, we compared eye tracking data recorded while observers …

Humans move their eyes while looking at scenes and pictures. Eye movements correlate
with shifts in attention and are thought to be a consequence of optimal resource allocation …

Eye tracking has become the de facto standard measure of visual attention in tasks that
range from free viewing to complex daily activities. In particular, saliency models are often …

Most models of visual saliency operate on two-dimensional images, using elementary image
features such as intensity, color, or orientation. The human visual system, however, needs to …

In natural vision, shifts in spatial attention are associated with shifts of gaze. Computational
models of such overt attention typically use the concept of a saliency map: Normalized maps …