Computer Vision and Robotics
Research in computer vision and robotics centres on the computer processing of visual information to make decisions and automate processes using technology.
Our Computer Vision and Robotics group is focused on developing and applying fundamental computer vision and robotics algorithms. This includes deep learning, robust fitting, generative models, adversarial learning, memory networks, and meta learning (learning to learn).
Our Computer Vision and Robotics group is particularly interested in deep learning for:
- semantic image understanding
- simultaneous localisation and mapping (SLAM) and 3D scene reconstruction
- integrating vision and language (e.g. captioning and visual question answering)
- medical imaging.
Our Computer Vision and Robotics group’s machine learning algorithms allow machines to describe and reason about what they see, and plan actions accordingly. This supports a wide range of applications throughout society, from children’s toys and self-navigating robots, to automated disease diagnosis and defence technology.
Research impact
Our Computer Vision and Robotics group’s fundamental and applied research has been decisive in providing solutions to prominent modern-day challenges. This has resulted in:
- multiple award-winning conference papers being published, and articles in high-quality journals
- a spin-out company, Snap Network Surveillance, being formed to commercialise innovative technology enabling video captured by large camera networks to be used more effectively for live and forensic purposes.
Our researchers
We have expertise across a wide range of areas. Many of our researchers are available to assist with research project supervision for Master of Philosophy and Doctor of Philosophy students. To enquire about consulting services or working with us on a research project, please contact the researchers listed below.
| Research team | Expertise |
|---|---|
| Associate Professor Gustavo Carneiro | Computer vision and robotics; Machine learning and artificial intelligence; Medical image analysis |
| Associate Professor Tat-Jun Chin | Computer vision and robotics; Machine learning and artificial intelligence |
| Dr Anthony Dick | Computer vision and robotics; Machine learning and artificial intelligence |
| Dr Lingqiao Liu | Computer vision and robotics; Machine learning and artificial intelligence |
| Professor Ian Reid | Computer vision and robotics; Machine learning and artificial intelligence |
| Professor Chunhua Shen | Computer vision and robotics; Machine learning and artificial intelligence |
| Associate Professor Qinfeng (Javen) Shi | Computer vision and robotics; Machine learning and artificial intelligence |
| Professor Anton van den Hengel | Computer vision and robotics; Machine learning and artificial intelligence |
| Dr Qi Wu | Computer vision and robotics; Machine learning and artificial intelligence |
Collaborations
We collaborate with various industry and government organisations, including:
Higher degrees by research
Whether you intend to work in research or industry, a higher degree by research can give you a competitive edge throughout your career. Find out more about studying a Master of Philosophy or Doctor of Philosophy.
