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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.

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Sep 24, 2026
Eight papers accepted by NeurIPS 2026

We have eight papers accepted to NeurIPS 2026: four in the main track and four...

Eight papers accepted by NeurIPS 2026
Jul 01, 2026
Zongwei Zhou Joins the JHU Computer Science Faculty

Congratulations to Zongwei Zhou on being appointed Assistant Professor of Computer Science at Johns Hopkins...

Zongwei Zhou Joins the JHU Computer Science Faculty
Jun 17, 2026
Six papers accepted by ECCV 2026

We have six papers accepted to ECCV 2026! Congratulations to everyone involved! The full publication...

Six papers accepted by ECCV 2026
Jun 16, 2026
Jieneng Chen Featured in Scientific American

CCVL alumnus Jieneng Chen was profiled by Scientific American as a young scientist creating AI...

Jieneng Chen Featured in Scientific American