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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

11 Mar 2026

Call for 2026 Summer Interns
We have multiple summer intern positions for world models, transformers architecture, medical image analysis, vision&language&action,...

11 Mar 2026

Eight papers accepted by ICLR 2026
We have eight papers accepted to ICLR 2026! Congratulations to everyone involved! The full publication...

11 Mar 2026

Eleven papers accepted by CVPR 2026
We have eleven papers accepted to CVPR 2026! Congratulations to everyone involved! The full publication...

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...