The use of eye movements to explore scene processing has exploded over the last decade.
Eye movements provide distinct advantages when examining scene processing because …

Deep convolutional neural networks (DCNNs) and the ventral visual pathway share vast
architectural and functional similarities in visual challenges such as object recognition …

Bottom-up and top-down as well as low-level and high-level factors influence where we
fixate when viewing natural scenes. However, the importance of each of these factors and …

In real-world scene perception, human observers generate sequences of fixations to move
image patches into the high-acuity center of the visual field. Models of visual attention …

Studies assessing the relationship between high-level meaning and low-level image
salience on real-world attention have shown that meaning better predicts eye movements …

How we perceive a visual scene depends critically on the selection of gaze positions. For
this selection process, visual attention is known to play a key role in two ways. First, image …

We explored by eye-tracking the visual encoding modalities of participants (N= 20) involved
in a free-observation task in which three repetitions of ten unfamiliar graspable objects were …

This study examines how salience and a center bias drive infants' first fixation while looking
at complex scenes. Adults are known to have a strong center bias, their first point of gaze is …

Co-saliency detection aims at finding the salient regions from multiple images which capture
the focus of human visual system. In this paper, a novel visual co-saliency algorithm is …

When searching a target in a natural scene, it has been shown that both the target's visual
properties and similarity to the background influence whether and how fast humans are able …