[HTML][HTML] Eye movements: The past 25 years
E Kowler - Vision research, 2011 - Elsevier
This article reviews the past 25years of research on eye movements (1986–2011).
Emphasis is on three oculomotor behaviors: gaze control, smooth pursuit and saccades, and …
Emphasis is on three oculomotor behaviors: gaze control, smooth pursuit and saccades, and …
[HTML][HTML] Eye movements and perception: A selective review
AC Schütz, DI Braun, KR Gegenfurtner - Journal of vision, 2011 - iovs.arvojournals.org
Eye movements are an integral and essential part of our human foveated vision system.
Here, we review recent work on voluntary eye movements, with an emphasis on the last …
Here, we review recent work on voluntary eye movements, with an emphasis on the last …
Predicting human eye fixations via an lstm-based saliency attentive model
Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …
neural networks for predicting gaze fixations. In this paper, we go beyond standard …
What do different evaluation metrics tell us about saliency models?
How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …
open research question. The choice of evaluation metric depends on how saliency is …
Deepfix: A fully convolutional neural network for predicting human eye fixations
SSS Kruthiventi, K Ayush… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Understanding and predicting the human visual attention mechanism is an active area of
research in the fields of neuroscience and computer vision. In this paper, we propose …
research in the fields of neuroscience and computer vision. In this paper, we propose …
Large-scale optimization of hierarchical features for saliency prediction in natural images
Saliency prediction typically relies on hand-crafted (multiscale) features that are combined in
different ways to form a" master" saliency map, which encodes local image conspicuity …
different ways to form a" master" saliency map, which encodes local image conspicuity …
Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study
Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
Instance-aware image and sentence matching with selective multimodal lstm
Effective image and sentence matching depends on how to well measure their global visual-
semantic similarity. Based on the observation that such a global similarity arises from a …
semantic similarity. Based on the observation that such a global similarity arises from a …
[HTML][HTML] The where, what and when of gaze allocation in the lab and the natural environment
T Foulsham, E Walker, A Kingstone - Vision research, 2011 - Elsevier
How do people distribute their visual attention in the natural environment? We and our
colleagues have usually addressed this question by showing pictures, photographs or …
colleagues have usually addressed this question by showing pictures, photographs or …
[HTML][HTML] Visual saliency estimation by nonlinearly integrating features using region covariances
To detect visually salient elements of complex natural scenes, computational bottom-up
saliency models commonly examine several feature channels such as color and orientation …
saliency models commonly examine several feature channels such as color and orientation …