Five factors that guide attention in visual search

JM Wolfe, TS Horowitz - Nature human behaviour, 2017 - nature.com
How do we find what we are looking for? Even when the desired target is in the current field
of view, we need to search because fundamental limits on visual processing make it …

Rhythms for cognition: communication through coherence

P Fries - Neuron, 2015 - cell.com
I propose that synchronization affects communication between neuronal groups. Gamma-
band (30–90 Hz) synchronization modulates excitation rapidly enough that it escapes the …

Saliency in VR: How do people explore virtual environments?

V Sitzmann, A Serrano, A Pavel… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Understanding how people explore immersive virtual environments is crucial for many
applications, such as designing virtual reality (VR) content, developing new compression …

Salient object detection: A survey

A Borji, MM Cheng, Q Hou, H Jiang, J Li - Computational visual media, 2019 - Springer
Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

[HTML][HTML] Contextual encoder–decoder network for visual saliency prediction

A Kroner, M Senden, K Driessens, R Goebel - Neural Networks, 2020 - Elsevier
Predicting salient regions in natural images requires the detection of objects that are present
in a scene. To develop robust representations for this challenging task, high-level visual …

Meaning-based guidance of attention in scenes as revealed by meaning maps

JM Henderson, TR Hayes - Nature human behaviour, 2017 - nature.com
Real-world scenes comprise a blooming, buzzing confusion of information. To manage this
complexity, visual attention is guided to important scene regions in real time,,,,,–. What …

[HTML][HTML] The meaning and structure of scenes

MLH Vo - Vision Research, 2021 - Elsevier
We live in a rich, three dimensional world with complex arrangements of meaningful objects.
For decades, however, theories of visual attention and perception have been based on …

Saliency prediction in the deep learning era: Successes and limitations

A Borji - IEEE transactions on pattern analysis and machine …, 2019 - ieeexplore.ieee.org
Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

[HTML][HTML] Predicting human gaze beyond pixels

J Xu, M Jiang, S Wang, MS Kankanhalli… - Journal of …, 2014 - jov.arvojournals.org
A large body of previous models to predict where people look in natural scenes focused on
pixel-level image attributes. To bridge the semantic gap between the predictive power of …

Eye movements in reading and information processing: Keith Rayner's 40 year legacy

C Clifton Jr, F Ferreira, JM Henderson, AW Inhoff… - Journal of Memory and …, 2016 - Elsevier
Keith Rayner's extraordinary scientific career revolutionized the field of reading research
and had a major impact on almost all areas of cognitive psychology. In this article, we review …