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Attention and Performance in Computational Vision
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Practical Optimization: Algorithms and Engineering Applications
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Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
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Controlling eye movements with hidden Markov models
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Two-dimensional spectral analysis of cortical receptive field profiles
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Eye Movements During Scene Viewing
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Salience from feature contrast: additivity across dimensions
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Modeling the role of salience in the allocation of overt visual attention
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Experimental metaphysics: The scanpath as an epistemological mechanism
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The representation of egocentric space in the posterior parietal cortex
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A model of saccade generation based on parallel processing and competitive inhibition
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Saccade target selection in macaque during feature and conjunction visual search
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Computational modelling of visual attention
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Spatiotemporal mechanisms for detecting and identifying image features in human vision
inferredcites →https://doi.org/10.1080/014311600750019930openalex-snapshot
Locating regions-of-interest for the Mars Rover expedition
inferredcites →https://doi.org/10.1088/0954-898x/10/4/304openalex-snapshot
Natural scene statistics at the centre of gaze
inferredcites →https://doi.org/10.1109/34.730558openalex-snapshot
A model of saliency-based visual attention for rapid scene analysis
inferredcites →https://doi.org/10.1109/34.877520openalex-snapshot
Algorithms for defining visual regions-of-interest: comparison with eye fixations
inferredcites →https://doi.org/10.1109/tip.2003.814247openalex-snapshot
Human-vision-based selection of image processing algorithms for planetary exploration
inferredcites →https://doi.org/10.1109/tpami.2003.1217601openalex-snapshot
Fast radial symmetry for detecting points of interest
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Scene analysis with saccadic eye movements: top-down and bottom-up modeling
inferredcites →https://doi.org/10.1117/1.1329895openalex-snapshot
Representation of human vision in the brain: how does human perception recognize images?
inferredcites →https://doi.org/10.1117/12.387197openalex-snapshot
Clustering algorithms to obtain regions of interest: a comparative study
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Vision theory guiding Web communication
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Scanpaths in Eye Movements during Pattern Perception
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Eye Movements and Visual Perception
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Object and scene analysis by saccadic eye-movements: an investigation with higher-order statistics
inferredcites →https://doi.org/10.3758/bf03211845openalex-snapshot
Visual search for singleton feature targets within and across feature dimensions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Sensitivity from Short-Term Memory vs. Stability from Long-Term Memory in Visual Attention Method
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Motion-Based Stereovision Method with Potential Utility in Robot Navigation
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Goal-Directed Search with a Top-Down Modulated Computational Attention System
inferred← citeshttps://doi.org/10.1007/11551263_28openalex-snapshot
Selecting What Is Important: Training Visual Attention
inferred← citeshttps://doi.org/10.1007/11552499_73openalex-snapshot
Classification Using Scale and Rotation Tolerant Shape Signatures from Convex Hulls
inferred← citeshttps://doi.org/10.1007/11565123_15openalex-snapshot
A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes
inferred← citeshttps://doi.org/10.1007/11565123_44openalex-snapshot
Stereovision Disparity Analysis by Two-Dimensional Motion Charge Map Inspired in Neurobiology
inferred← citeshttps://doi.org/10.1007/978-3-540-72383-7_85openalex-snapshot
Attention Selection with Self-supervised Competition Neural Network and Its Applications in Robot
inferred← citeshttps://doi.org/10.1007/978-3-540-77343-6_17openalex-snapshot
Selective Attention in the Learning of Viewpoint and Position Invariance
inferred← citeshttps://doi.org/10.1007/978-3-540-77343-6_21openalex-snapshot
Modeling the Dynamics of Feature Binding During Object-Selective Attention
inferred← citeshttps://doi.org/10.1007/978-3-540-79547-6_1openalex-snapshot
Visual Search in Static and Dynamic Scenes Using Fine-Grain Top-Down Visual Attention
inferred← citeshttps://doi.org/10.1007/978-3-642-00582-4_12openalex-snapshot
The JAMF Attention Modelling Framework
inferred← citeshttps://doi.org/10.1007/978-3-642-00582-4_13openalex-snapshot
Modeling Attention and Perceptual Grouping to Salient Objects
inferred← citeshttps://doi.org/10.1007/978-3-642-00582-4_18openalex-snapshot
Comparing Learning Attention Control in Perceptual and Decision Space
inferred← citeshttps://doi.org/10.1007/978-3-642-31368-4_7openalex-snapshot
Multi-Cue Based Place Learning for Mobile Robot Navigation
inferred← citeshttps://doi.org/10.1007/978-3-642-34459-6_13openalex-snapshot
Image Retrieval by Content Based on a Visual Attention Model and Genetic Algorithms
inferred← citeshttps://doi.org/10.1016/j.biosystems.2006.03.010openalex-snapshot
Modeling feature-based attention as an active top-down inference process
inferred← citeshttps://doi.org/10.1016/j.copsyc.2019.02.008openalex-snapshot
Intrusive effects of task-irrelevant information on visual selective attention: semantics and size
inferred← citeshttps://doi.org/10.1016/j.neuropsychologia.2016.05.021openalex-snapshot
Spatial and non-spatial aspects of visual attention: Interactive cognitive mechanisms and neural underpinnings
inferred← citeshttps://doi.org/10.1016/j.sigpro.2012.06.014openalex-snapshot
Learning saliency-based visual attention: A review
inferred← citeshttps://doi.org/10.1016/j.visres.2016.01.005openalex-snapshot
Introducing context-dependent and spatially-variant viewing biases in saccadic models
inferred← citeshttps://doi.org/10.1016/j.visres.2025.108682openalex-snapshot
Distinguishing a central selection bias from a central fixation bias: The role of retinal eccentricity in visual selection
inferred← citeshttps://doi.org/10.1016/j.ymeth.2005.12.003openalex-snapshot
Noninvasive telemetric gaze tracking in freely moving socially housed prosimian primates
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Interrupted visual searches reveal volatile search memory.
inferred← citeshttps://doi.org/10.1167/7.14.4openalex-snapshot
The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions
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Head and eye movements and the role of memory limitations in a visual search paradigm
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