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.

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).

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

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.

Higher Degrees by Research