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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

13 Sep 2022

Zongwei received the AMIA 2022 Doctoral Dissertation Award
Our postdoc, Dr. Zongwei Zhou, is selected as First Prize in the AMIA 2022 Doctoral...

16 Aug 2022

Urgent Call for Postdocs
Postdoctoral position at the CCVL research group at Johns Hopkins University The goals of CCVL...

11 Jul 2022

10 papers accepted by ECCV 2022
We have 10 papers provisionally accepted by ECCV 2022! Congratulations to everybody whose papers were...

01 Mar 2022

12 papers accepted by CVPR 2022
We have 12 papers accepted by CVPR 2022! Congratulations and thanks everybody for working so...