Image Understanding with Deep Neural Networks

2023-2024 Spring
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

This project involves developing computer vision models to solve challenging problems, such as multi-modal image retrieval, medical imaging or biometrics (especially face understanding and verification), using the new AI models. One focus will be on self-supervised techniques.
Interested students must have taken CS412-Machine Learning course or the equivalent Some deep learning knowledge via online courses etc is also expected. Computer vision course is a plus. Code will be developed in Google Colab or Kaggle. 

Related Areas of Project: 
Computer Science and Engineering
Electronics Engineering

About Project Supervisors