Information-theoretic model comparison unifies saliency metrics

Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach

(2016) Jianming Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial statistics and attentional dynamics in scene viewing

(2015) R. Engbert et al.   JOURNAL OF VISION

Corrections to: Analysis of human vergence dynamics.

(2013)   JOURNAL OF VISION

Generalization between canonical and non-canonical views in object recognition

(2013) T. Ghose et al.   JOURNAL OF VISION

RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis

(2013) Nicolas Riche et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study

(2012) Ali Borji et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

State-of-the-Art in Visual Attention Modeling

(2012) Ali Borji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Human Visual Search Does Not Maximize the Post-Saccadic Probability of Identifying Targets

(2012) Camille Morvan et al.   PLoS Computational Biology

Context-Aware Saliency Detection

(2011) Stas Goferman et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multistable binocular feature-integrated percepts are frozen by intermittent presentation

(2011) P. Kang et al.   JOURNAL OF VISION

Measures and Limits of Models of Fixation Selection

(2011) Niklas Wilming et al.   PLoS One

The contingent negative variation (CNV) event-related potential (ERP) predicts the attentional blink

(2010) K. Shapiro et al.   JOURNAL OF VISION

Symposia introduction

(2010) D. Eagleman   JOURNAL OF VISION

Beyond texture processing: further implications of statistical representations

(2010) B. Balas et al.   JOURNAL OF VISION

Saliency, attention, and visual search: An information theoretic approach

(2009) N. D. B. Bruce et al.   JOURNAL OF VISION

Of bits and wows: A Bayesian theory of surprise with applications to attention

(2009) Pierre Baldi et al.   NEURAL NETWORKS

Simple summation rule for optimal fixation selection in visual search

(2009) Jiri Najemnik et al.   VISION RESEARCH