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The main goal of the CCVL (Computational Cognition, Vision, and Learning) research group is to develop mathematical models of vision and cognition. These models are intended primarily for designing artificial (computer) vision systems. Learning is required for extracting knowledge from data. Practical applications include vision for the disabled. These models also serve as computational models of biological vision which can be tested by behavioral methods and, in collaborative projects, with invasive, and non-invasive neuroscience techniques. We also study how humans and animals perform cognitive tasks such as learning and reasoning. In addition, we also use machine learning for interpreting medical images and studying brain function.

Latest News

08 Aug 2025

Congratulations to Our Alumni on New Faculty Appointments
We are delighted to share exciting news about our alumni who have advanced in their...

02 Aug 2025

Nineteen abstracts accepted by RSNA 2025
We have nineteen abstracts accepted by RSNA 2025, including eight orals! Congratulations to everyone whose...

26 Jun 2025

Eight papers accepted by ICCV 2025
We have eight papers accepted by ICCV 2025! Congratulations to everybody whose papers were accepted!...

26 Feb 2025

Ten papers accepted by CVPR 2025
We have seven papers accepted to the main track of CVPR 2025 (including two highlights),...