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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

06 Feb 2024

Call for 2024 Summer Interns
We have multiple summer intern positions for 3D generative models, transformers, medical image analysis, vision+language,...

25 Jul 2023

Six papers accepted by ICCV 2023
We have six papers accepted by ICCV 2023! Congratulations to everybody whose papers were accepted!...

28 Feb 2023

Eight papers accepted by CVPR 2023
We have eight papers accepted by CVPR 2023! Congratulations to everybody whose papers were accepted!...

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...