Computer Vision and Robotics
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).
We’re 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 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.
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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
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Lead researchers
Research team Expertise Professor Tat-Jun Chin Computer vision and robotics; Machine learning and artificial intelligence Dr Tim Chen Metaverse, Human–Computer Interaction (HCI) and computer graphics Associate Professor Anthony Dick Computer vision and robotics; Machine learning and artificial intelligence Dr Feras Dayoub Computer vision and robotics Dr Lingqiao Liu Computer vision and robotics; Machine learning and artificial intelligence Dr Yifan Liu Computer vision and robotics; Machine learning and artificial intelligence Professor Ian Reid Computer vision and robotics; Machine learning and artificial intelligence Professor Javen Qinfeng 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 -
Collaboration
We collaborate with various industry and government organisations, including:
- BAE Systems
- Bayer CropScience
- BHP
- Carl Zeiss Vision
- CSIRO
- Data61
- Defence Science and Technology Group
- LBT Innovations
- Maptek
- Snap Surveillance
- Sydac
- Australian Institute of Sport (AIS)
- Tennis Australia
- South Australian Sports Institute (SASI)
- Table Tennis Australia (TTA)
- Paralympics Australia
- Victorian Institute of Sport (VIS)
- AirborneLogic
- Wine Australia
- Riverland Wine
- Australian Wine Research Institute
- OZ Minerals
- Australian Grain Technologies
- MEQ Probe
- Carnegie Clean Energy
- Department of Primary Industries and Regions (PIRSA)
- Department for Energy and Mining
Higher degree by research opportunities
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 Master of Philosophy (MPhil) or Doctor of Philosophy (PhD).