The human attention mechanism can be understood and simulated by closely associating
the saliency prediction task to neuroscience and psychology. Furthermore, saliency …

While abundant in biology, foveated vision is nearly absent from computational models and
especially deep learning architectures. Despite considerable hardware improvements …

Background An emerging trend in visual information processing is toward incorporating
some interesting properties of the ventral stream in order to account for some limitations of …

In this study we provide the analysis of eye movement behavior elicited by low-level feature
distinctiveness with a dataset of synthetically-generated image patterns. Design of visual …

In this thesis we try to explain (1) how we move our eyes,(2) how to build machines that
understand visual information and deploy eye movements, and (3) how to make these …

Saliency prediction can be treated as the activity of the human visual system (HVS). The
most effective method should highly approximate the response of HVS to the perceived …

Saliency prediction can be regarded as the human spontaneous activity. The most effective
saliency model should highly approximate the response of viewers to the perceived …

Interestingly, when I began my PhD back in 2008, neural networks were almost unanimously
considered obsolete. Their inaptitude to solve real world problems, added to the …

When we look at our environment, we primarily pay attention to visually distinctive objects.
Saliency maps are topographical maps of the visually salient parts of scenes in which such …

This paper proposes a saliency detection model for images with complex background based
on the end-to-end sparse maxout convolutional neural network. We introduce the saliency …