View Proposal

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Proposer

Dongdong Chen

Title

Computer Vision and Imaging topics - AI for Multi-modality Image Processing

Goal

Description

Multi-modality image fusion is a technique that combines information from different sensors or modalities to produce a fused image that retains complementary features from each modality. However, effectively training such fusion models is challenging due to the lack of ground truth fusion data. This project focuses on implementing/developing advanced AI models for multi-modality image fusion, e.g. learn to Multi-modality Image Fusion without Groundtruth. If you’re interested in doing this project, please have a look at the papers listed below. https://arxiv.org/pdf/2305.11443.pdf

Resources

https://arxiv.org/pdf/2305.11443.pdf

Background

knowledge of Python; basic of neural networks and deep learning

Url

External Link

Difficulty Level

High

Ethical Approval

None

Number Of Students

1

Supervisor

Dongdong Chen

Keywords

computer vision, deep learning, multi-modality, image fusion

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Information Technology (Business)
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics