Faculty

Institution

Unit

Venue

Gregory Zelinsky

Professor Cognitive Science Associate Professor Computer Science

Stony Brook University

Affiliations

College of Arts & Sciences

Psychology

College of Engineering and Applied Sciences

Computer Science

Gregory Zelinsky is currently serving as a College Of Arts & Sciences Professor Cognitive Science Associate Professor Computer Science at Stony Brook University.

Honors

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Experiences

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Education

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Gregory Zelinsky

Stony Brook University

Professor Cognitive Science Associate Professor Computer Science

You can click a keyword to filter the displayed items

cognitive science computer vision vision research neuroscience visual perception machine learning psychology cognitive neuroscience attention behavioral sciences pattern recognition visual search eye movements visual science machine vision cognition visual processing experimental psychology cognitive psychology scene understanding object detection object recognition psychological science visual reasoning reading research object tracking psychophysics search guidance applied cognitive psychology human-computer interaction human cognition scene interpretation categorical search visual attention goal-directed attention control real-world objects category-consistent features sensory science psychodynamic object modeling gaze behavior psychological bulletin applied psychology collaborative search spatial cognition change detection working memory cognitive electrophysiology target identification neuroinformatics medical image analysis scene analysis biological psychology goal-directed human attention human gaze target typicality complex scenes scene viewing gaze prediction categorical visual search scientometrics information visualization scientific data scientific computing machine learning research theoretical biology information technology applied social psychology collective cognition metacognition neural science brain science visual analytics target prediction scientific data management reproducible research visual function visual system

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Are Search Templates Target-Object Reconstructions?. Journal of Vision (2024)

Seoyoung AhnHossein AdeliGregory Zelinsky

pattern recognitionvisual sciencevision researchimage reconstructionvisual perceptionmachine visionimage analysispsychologycomputer vision

Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. arXiv (Cornell University) (2024)

Chakraborty, SouradeepPerez, DanaFriedman, PaulSheuka, NatalliaFriedman, ConstantinYaskiv, OksanaGupta, RajarsiZelinsky, Gregory J.Saltz, Joel H.Samaras, Dimitris

cognitive sciencepsychopathologyvisual attentionpathology

Evaluating Theories of Neural Information Integration During Visual Search. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Abe LeiteHossein AdeliRobert M. McPeekGregory J. Zelinsky

cognitionsystems neuroscienceneural information integrationvision researchneurosciencecomputational neurosciencevisual searchcognitive sciencecognitive neuroscience

Generating Objects in Peripheral Vision Using Attention-Guided Diffusion Models. Journal of Vision (2024)

Ritik RainaSeoyoung AhnGregory Zelinsky

visual processingattentionvision researchvisual perceptioncognitive scienceperipheral visionattention-guided diffusion models

Look Hear: Gaze Prediction for Speech-Directed Human Attention. Lecture notes in computer science (2024)

Sounak MondalSeoyoung AhnZhibo YangNiranjan BalasubramanianDimitris SamarasGregory ZelinskyMinh Hoai

human-computer interactionspeech-directed human attentioncomputer scienceeye trackinggaze prediction

Mixed Selectivity for Target Selection Biases in the Superior Colliculus. Journal of Vision (2024)

Abe LeiteHossein AdeliRobert M. McPeekGregory J. Zelinsky

vision researchsuperior colliculusmixed selectivityvisual perceptiontarget selectionpsychology

Object-Based Association Fields for Grouping and Attention. Journal of Vision (2024)

Hossein AdeliSeoyoung AhnGregory ZelinskyNikolaus Kriegeskorte

visual scienceattentionvision researchobject recognitionvisual perceptioncognitive science

Three Theories of Object-Based Attention Implemented in Deep Neural Network Models. Journal of Vision (2024)

Hossein AdeliSeoyoung AhnGregory ZelinskyNikolaus Kriegeskorte

visual sciencevision recognitionattentionvision researchobject recognitionvisual perceptionneurosciencemachine learningintelligent perceptionpsychologyobject-based attentionmachine visioncognitive scienceobject detectiondeep learningneural network (machine learning)

Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Zhibo YangSounak MondalSeoyoung AhnRuoyu XueGregory ZelinskyMinh HoaiDimitris Samaras

pattern recognitiondeep learningbottom-up scanpath predictionprincipal component analysiscomputer sciencemachine learningdata scienceobject detectioninformation fusionimage analysisfeature fusioncomputer vision

A Brain-Inspired Object-Based Attention Network for Multiobject Recognition and Visual Reasoning. Journal of Vision (2023)

Hossein AdeliSeoyoung AhnGregory J. Zelinsky

attentionvision researchneurosciencemachine learningcomputer visionmultiobject recognitionvisual reasoningcognitive sciencecognitive neuroscience

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Gregory Zelinsky

Professor Cognitive Science Associate Professor Computer Science

Stony Brook University

Affiliations

College of Arts & Sciences

Psychology

College of Engineering and Applied Sciences

Computer Science

Gregory Zelinsky is currently serving as a College Of Arts & Sciences Professor Cognitive Science Associate Professor Computer Science at Stony Brook University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Gregory Zelinsky

Stony Brook University

Professor Cognitive Science Associate Professor Computer Science

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Are Search Templates Target-Object Reconstructions?. Journal of Vision (2024)

Seoyoung AhnHossein AdeliGregory Zelinsky

pattern recognitionvisual sciencevision researchimage reconstructionvisual perceptionmachine visionimage analysispsychologycomputer vision

Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. arXiv (Cornell University) (2024)

Chakraborty, SouradeepPerez, DanaFriedman, PaulSheuka, NatalliaFriedman, ConstantinYaskiv, OksanaGupta, RajarsiZelinsky, Gregory J.Saltz, Joel H.Samaras, Dimitris

cognitive sciencepsychopathologyvisual attentionpathology

Evaluating Theories of Neural Information Integration During Visual Search. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Abe LeiteHossein AdeliRobert M. McPeekGregory J. Zelinsky

cognitionsystems neuroscienceneural information integrationvision researchneurosciencecomputational neurosciencevisual searchcognitive sciencecognitive neuroscience

Generating Objects in Peripheral Vision Using Attention-Guided Diffusion Models. Journal of Vision (2024)

Ritik RainaSeoyoung AhnGregory Zelinsky

visual processingattentionvision researchvisual perceptioncognitive scienceperipheral visionattention-guided diffusion models

Look Hear: Gaze Prediction for Speech-Directed Human Attention. Lecture notes in computer science (2024)

Sounak MondalSeoyoung AhnZhibo YangNiranjan BalasubramanianDimitris SamarasGregory ZelinskyMinh Hoai

human-computer interactionspeech-directed human attentioncomputer scienceeye trackinggaze prediction

Mixed Selectivity for Target Selection Biases in the Superior Colliculus. Journal of Vision (2024)

Abe LeiteHossein AdeliRobert M. McPeekGregory J. Zelinsky

vision researchsuperior colliculusmixed selectivityvisual perceptiontarget selectionpsychology

Object-Based Association Fields for Grouping and Attention. Journal of Vision (2024)

Hossein AdeliSeoyoung AhnGregory ZelinskyNikolaus Kriegeskorte

visual scienceattentionvision researchobject recognitionvisual perceptioncognitive science

Three Theories of Object-Based Attention Implemented in Deep Neural Network Models. Journal of Vision (2024)

Hossein AdeliSeoyoung AhnGregory ZelinskyNikolaus Kriegeskorte

Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Zhibo YangSounak MondalSeoyoung AhnRuoyu XueGregory ZelinskyMinh HoaiDimitris Samaras

A Brain-Inspired Object-Based Attention Network for Multiobject Recognition and Visual Reasoning. Journal of Vision (2023)

Hossein AdeliSeoyoung AhnGregory J. Zelinsky

attentionvision researchneurosciencemachine learningcomputer visionmultiobject recognitionvisual reasoningcognitive sciencecognitive neuroscience

1
2
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4
5
20
10 / page

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