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Neuroscience

D-Index
42
Citations
8121
World Ranking
7594
National Ranking
3272

Overview

Gregory J. Zelinsky is affiliated with Stony Brook University in the United States. Their research spans multiple fields including Computer Science and Neuroscience, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction, Artificial Intelligence, and Molecular Biology.

The scientist's work primarily focuses on topics related to Visual Attention and Saliency Detection, Gaze Tracking and Assistive Technology, Neural and Behavioral Psychology Studies, Neural Dynamics and Brain Function, Visual Perception and Processing Mechanisms, Face Recognition and Perception, and Advanced Image and Video Retrieval Techniques.

Recent publications demonstrate a range of investigations into human attention, visual perception, and computational models. Notable papers include:

  • "COCO-Search18 fixation dataset for predicting goal-directed attention control" (2021) in Scientific Reports
  • "Target-Absent Human Attention" (2022) in Lecture Notes in Computer Science
  • "Predicting Visual Attention in Graphic Design Documents" (2022) in IEEE Transactions on Multimedia
  • "Characterizing Target-absent Human Attention" (2022) in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "A brain-inspired object-based attention network for multiobject recognition and visual reasoning" (2023) in Journal of Vision

Throughout their career, Gregory J. Zelinsky has frequently published in venues such as:

  • Journal of Vision
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 Conference on Cognitive Computational Neuroscience
  • Zenodo (CERN European Organization for Nuclear Research)

Collaboration forms a significant part of their research process. Frequent co-authors include Seoyoung Ahn, Hossein Adeli, Dimitris Samaras, Minh Hoai, and Yupei Chen.

Best Publications

  • A theory of eye movements during target acquisition.

    Gregory J. Zelinsky

  • Coordinating cognition: the costs and benefits of shared gaze during collaborative search.

    Susan E. Brennan;Xin Chen;Christopher A. Dickinson;Mark B. Neider

  • Scene context guides eye movements during visual search.

    Mark B. Neider;Gregory J. Zelinsky

  • Eye movements during parallel-serial visual search.

    Gregory J. Zelinsky;David L. Sheinberg

  • Eye movements in iconic visual search.

    Rajesh P.N. Rao;Gregory J. Zelinsky;Mary Myleen Hayhoe;Dana Harry Ballard

  • Influence of attentional capture on oculomotor control

    Jan Theeuwes;Jan Theeuwes;Arthur F. Kramer;Sowon Hahn;David E. Irwin

  • Eye Movements Reveal the Spatiotemporal Dynamics of Visual Search

    Gregory J. Zelinsky;Rajesh P.N. Rao;Mary Myleen Hayhoe;Dana Harry Ballard

  • Eye movements and scene perception: Memory for things observed

    David E. Irwin;Gregory J. Zelinsky

  • Using eye saccades to assess the selectivity of search movements.

    Gregory J. Zelinsky

  • Real-world visual search is dominated by top-down guidance.

    Xin Chen;Gregory J. Zelinsky

  • The what, where, and why of priority maps and their interactions with visual working memory

    Gregory J. Zelinsky;Gregory J. Zelinsky;James W. Bisley;James W. Bisley

  • Search guidance is proportional to the categorical specificity of a target cue.

    Joseph Schmidt;Gregory J. Zelinsky

  • Visual search is guided to categorically-defined targets.

    Hyejin Yang;Gregory J. Zelinsky

  • Real-time Accurate Object Detection using Multiple Resolutions

    Wei Zhang;G. Zelinsky;D. Samaras

  • Coordinating spatial referencing using shared gaze.

    Mark B. Neider;Xin Chen;Christopher A. Dickinson;Susan E. Brennan

  • Memory across eye-movements: 1/f Dynamic in visual search

    D. J. Aks;G. Zelinsky;J. C. Sprott

  • Object class recognition using multiple layer boosting with heterogeneous features

    Wei Zhang;Bing Yu;G.J. Zelinsky;D. Samaras

  • Exploring set size effects in scenes: Identifying the objects of search

    Mark B. Neider;Gregory J. Zelinsky

  • An eye movement analysis of multiple object tracking in a realistic environment

    Gregory J. Zelinsky;Mark B. Neider

  • Studying Relationships between Human Gaze, Description, and Computer Vision

    Kiwon Yun;Yifan Peng;Dimitris Samaras;Gregory J. Zelinsky

Frequent Co-Authors

Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Annmarie MacNamara
Annmarie MacNamara Texas A&M University
William H. Merigan
William H. Merigan University of Rochester
Greg Hajcak
Greg Hajcak Santa Clara University
Gary Lupyan
Gary Lupyan University of Wisconsin–Madison
David E. Irwin
David E. Irwin University of Illinois at Urbana-Champaign
Hoi-Chung Leung
Hoi-Chung Leung Stony Brook University
James W. Bisley
James W. Bisley University of California, Los Angeles
Jan Theeuwes
Jan Theeuwes Vrije Universiteit Amsterdam

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