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Category Archives: Uncategorized


“Towards the quantitative evaluation of visual attention models” in Vision Research

By tech | May 5, 2015 | Category Uncategorized

“Towards the quantitative evaluation of visual attention models” by Z. Bylinskii, E.M. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, J.K. Tsotsos has been accepted in Vision Research.

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Markus Solbach joins the Lab

By tech | May 2, 2015 | Category Uncategorized

We are excited to announce that Markus Solbach joined the lab this May. After completing his Master of Science from University of Koblenz-Landau in Computer Science, he will continue his PhD studies in Computer Science and will continue to work on active vision in robotics.

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Vision Research Paper Accepted

By Calden Wloka | January 30, 2015 | Category Uncategorized

The paper “On Computational Modeling of Visual Saliency: Examining What’s Right, and What’s Left” was recently accepted for an upcoming special issue on computational models of visual attention in the Journal of Vision Research. The principal author is Neil D. B. Bruce, with contributions by Calden Wloka, Nick Frosst, Shafin Rahman, and John K. Tsotsos. […]

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Nick’s Google Internship

By Nick Frosst | January 30, 2015 | Category Uncategorized

Nick will be working on machine learning at the Seattle office for the summer of 2015.

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Publication – 2010

By tech | March 6, 2010 | Category Uncategorized

Chen, X., Tsotsos, J.K., Attentional Surround Suppression in the Feature Dimension, Dept of Computer Science and Engineering, Technical Report CSE-2010-01, York University, 2010. Fazl-Ersi, E., Tsotsos, J.K., Energy Minimization via Graph Cuts for Semantic Place Labeling. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2010, Taipei, Taiwan. Fazl-Ersi, E., Tsotsos, J.K., […]

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Recent News


  • Congrats to Iuliia Kotseruba on wining the Best Student Paper Award at IV 2024!
  • Lab members at NCRN24
  • Markus Solbach presents “Visuospatial Hypothesize-and-Test Strategies Yield High Accuracy without Training; Their Efficiency Improves with Practice” at RAW 2023
  • Current and former lab members at the VSS conference
  • Publications – 2023

University Links

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