View Proposal


Proposer
Radu-Casian Mihailescu
Title
Domain adaptation in computer vision
Goal
Description
Perform domain adaptation from photometric images (visible imager) to radiometric (thermal imager) using a neural network. Proposed methods are (but not limited to): a. self supervision with an attention network b. supervised learning with a GAN Goal of the thesis is good features representation capability of the network. This work will be carried out in collaboration with the Technology Innovation Institute (Masdar City).
Resources
Background
ML
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
0
Supervisor
Radu-Casian Mihailescu
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science