A long time ago in the machine learning literature, the idea of incorporating a mechanism
inspired by the human visual system into neural networks was introduced. This idea is …

Five important trends have emerged from recent work on computational models of focal
visual attention that emphasize the bottom-up, image-based control of attentional …

Selective visual attention is believed to be responsible for serializing visual information for
recognizing one object at a time in a complex scene. But how can we attend to objects …

Based on concepts of the human visual system, computational visual attention systems aim
to detect regions of interest in images. Psychologists, neurobiologists, and computer …

We propose a computational model for the task-specific guidance of visual attention in real-
world scenes. Our model emphasizes four aspects that are important in biological vision …

In this paper, a novel model of object-based visual attention extending Duncan's Integrated
Competition Hypothesis [Phil. Trans. R. Soc. London B 353 (1998) 1307–1317] is presented …

Colour and shape are basic characteristics of traffic signs which are used both by the driver
and to develop artificial traffic sign recognition systems. However, these sign features have …

Visual cognition depends critically on the moment-to-moment orientation of gaze. To change
the gaze to a new location in space, that location must be computed and used by the …

Ultrasonic measurements of human carotid and femoral artery walls are conventionally
obtained by manually tracing interfaces between tissue layers. The drawbacks of this …

Where we make ocular fixations when viewing an object likely reflects interactions between
'external'object properties and internal 'top-down'factors, as our perceptual system tests …