Previous Location of CCVL
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.
Congratulations to Wenxuan Li, Pedro R. A. S. Bassi, and the medical imaging team led by Zongwei Zhou, who received two Best...
We have eight papers accepted to NeurIPS 2026: four in the main track and four...
Congratulations to Zongwei Zhou on being appointed Assistant Professor of Computer Science at Johns Hopkins...
We have six papers accepted to ECCV 2026! Congratulations to everyone involved! The full publication...
CCVL alumnus Jieneng Chen was profiled by Scientific American as a young scientist creating AI...