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Extrafoveal capture of attention by emotional scenes: affective valence versus visual saliency
Pairs of emotional (pleasant or unpleasant) and neutral scenes were presented peripherally (5 degrees away from fixation) during a central letter-discrimination task. Selective attentional capture was assessed by means of ...
Modulation of performance during executive function tasks by emotional salience of stimuli
(2023)
Because emotional salience has a critical effect on cognitive processing, its effect on core executive functions has not been considered much. This study compares reaction time and accuracy of the response in the three ...
Shape description based on bag of salience points
(Association for Computing Machinery - ACMUniversity of SalamancaSalamanca, 2015-04)
Salient points are very important for image description because they are related to the visually most important parts of the image, leading to a compact and more discriminative representation close to human perception. ...
Human detection using a mobile platform and novel features derived from a visual saliency mechanism
(ELSEVIER, 2010)
Human detection is a key ability to an increasing number of applications that operates in human inhabited environments or needs to interact with a human user. Currently, most successful approaches to human detection are ...
Gaze distribution analysis and saliency prediction across age groups
(Public Library Science, 2018)
Knowledge of the human visual system helps to develop better computational models of visual attention. State-of-the-art models have been developed to mimic the visual attention system of young adults that, however, largely ...
Visual attention saccadic models learn to emulate gaze patterns from childhood to adulthood
(IEEE Institute of Electrical and Electronics Engineers, 2017)
How people look at visual information reveals fundamental information about themselves, their interests and their state of mind. While previous visual attention models output static 2D saliency maps, saccadic models aim ...
Age-dependent saccadic models for predicting eye movements
(IEEE Computer Society, 2018)
© 2017 IEEE. How people look at visual information reveals fundamental information about themselves, their interests and their state of mind. While previous visual attention models output static 2-dimensional saliency maps, ...
Domain classifier-based transfer learning for visual attention prediction
(Springer, 2022-04)
Benefitting from machine learning techniques based on deep neural networks, data-driven saliency has achieved significant success over the past few decades. However, existing data-hungry models for saliency prediction ...
Human detection using a mobile platform and novel features derived from a visual saliency mechanism
(ELSEVIER SCIENCE BV, 2010)
Time course of selective attention to face regions in social anxiety: eye-tracking and computational modelling
We investigated the time course of selective attention to face regions during judgment of dis/approval by low (LSA) and high (HSA) social anxiety undergraduates (with clinical levels on questionnaire measures). The viewers’ ...