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.
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....
DeepLab2 Released!
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art...
Congratulations to Our Graduated Students!
In the past year, SEVEN CCVL members have succesfully defensed their dissertations. They are: Name...
Farewell to Dr. Wei Shen and Dr. Yan Wang
Recently, two senior members have left CCVL. They are: Dr. Wei Shen, previous CCVL faculty...