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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

01 Mar 2022

13 papers accepted by CVPR 2022
We have 13 papers accepted by CVPR 2022! Congratulations and thanks everybody for working so...

01 Dec 2021

Congratulations to Our Graduated Students!
In the last month, THREE CCVL members have succesfully defensed their dissertations. They are: Name...

24 Jun 2021

3 papers accepted by MICCAI 2021, 2 papers accepted by CogSci 2021
Recently, we have 3 papers accepted by MICCAI 2021, 2 papers accepted by CogSci 2021....

21 Jun 2021

DeepLab2 Released!
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art...