World's Best Scientists 2026 revealed!
John K. Tsotsos

John K. Tsotsos

Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
19769
World Ranking
2562
National Ranking
95

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2010 - Fellow of the Royal Society of Canada Academy of Science

Overview

John K. Tsotsos is affiliated with York University in Canada and has contributed extensively to research in computer science and neuroscience. Their work spans multiple intersecting fields and subfields with particular focus on visual perception and processing mechanisms.

The scientist's research prominently covers:

  • Visual perception and processing mechanisms
  • Visual Attention and Saliency Detection
  • Gaze Tracking and Assistive Technology
  • Face Recognition and Perception
  • Neural and Behavioral Psychology Studies
  • Spatial Cognition and Navigation
  • Autonomous Vehicle Technology and Safety

Their main fields of study include computer science and neuroscience, with significant contributions in:

  • Cognitive Neuroscience
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Automotive Engineering
  • Human-Computer Interaction

John K. Tsotsos has published in various venues, with frequent appearances in:

  • arXiv (Cornell University)
  • Journal of Vision
  • Scientific Reports
  • Journal of Imaging
  • Research Square (Research Square)

Recent papers illustrate the scientist's focus on vision and attention-related topics:

  • Long-term memory and hippocampal function support predictive gaze control during goal-directed search, 2020, Journal of Vision
  • Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs, 2020, arXiv (Cornell University)
  • Video Action Recognition for Lane-Change Classification and Prediction of Surrounding Vehicles, 2022, IEEE Transactions on Intelligent Vehicles
  • Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets, 2022, IEEE Transactions on Intelligent Transportation Systems
  • Self-attention in vision transformers performs perceptual grouping, not attention, 2023, Frontiers in Computer Science

The scientist collaborates frequently with several coauthors, including:

  • Markus D. Solbach
  • Iuliia Kotseruba
  • Paria Mehrani
  • Mahdi Biparva
  • Tiffany Wu

John K. Tsotsos was awarded the title Fellow of the Royal Society of Canada in 2010 by the Academy of Science.

Best Publications

  • Modeling visual attention via selective tuning

    John K. Tsotsos;Sean M. Culhane;Winky Yan Kei Wai;Yuzhong Lai

  • Saliency Based on Information Maximization

    Neil Bruce;John Tsotsos

  • Analyzing vision at the complexity level

    John K. Tsotsos

  • Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

    Amir Rasouli;John K. Tsotsos

  • 40 years of cognitive architectures: core cognitive abilities and practical applications

    Iuliia Kotseruba;John K. Tsotsos

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • 50 Years of object recognition: Directions forward☆

    Alexander Andreopoulos;John K. Tsotsos

  • Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI.

    Alexander Andreopoulos;John K. Tsotsos

  • PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

    Amir Rasouli;Iuliia Kotseruba;Toni Kunic;John Tsotsos

  • A Computational Perspective on Visual Attention

    John K. Tsotsos

  • Neurobiology of attention

    Laurent Itti;Geraint Rees;John K. Tsotsos

  • Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior

    Amir Rasouli;Iuliia Kotseruba;John K. Tsotsos

  • Revisiting active perception.

    Ruzena Bajcsy;Yiannis Aloimonos;John K. Tsotsos

  • Direct neurophysiological evidence for spatial suppression surrounding the focus of attention in vision

    J. M. Hopf;C. N. Boehler;S. J. Luck;J. K. Tsotsos

  • Incremental Learning Through Deep Adaptation

    Amir Rosenfeld;John K. Tsotsos

  • Understanding Pedestrian Behavior in Complex Traffic Scenes

    Amir Rasouli;Iuliia Kotseruba;John K. Tsotsos

  • The selective tuning model of attention: psychophysical evidence for a suppressive annulus around an attended item

    Florin Cutzu;John K Tsotsos

  • A framework for visual motion understanding

    J. K. Tsotsos;J. Mylopoulos;H. D. Covvey;S. W. Zucker

  • Agreeing to cross: How drivers and pedestrians communicate

    Amir Rasouli;Iuliia Kotseruba;John K. Tsotsos

  • On the relative complexity of active vs. passive visual search

    John K. Tsotsos;John K. Tsotsos

Frequent Co-Authors

Allan D. Jepson
Allan D. Jepson University of Toronto
Evangelos E. Milios
Evangelos E. Milios Dalhousie University
Julio C. Martinez-Trujillo
Julio C. Martinez-Trujillo University of Western Ontario
Christian Bauckhage
Christian Bauckhage University of Bonn
Michael Jenkin
Michael Jenkin York University
Sven Dickinson
Sven Dickinson University of Toronto
Hans-Jochen Heinze
Hans-Jochen Heinze Otto-von-Guericke University Magdeburg
Gregory Dudek
Gregory Dudek McGill University
Mircea Ariel Schoenfeld
Mircea Ariel Schoenfeld Otto-von-Guericke University Magdeburg
Jens-Max Hopf
Jens-Max Hopf Otto-von-Guericke University Magdeburg

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