News: Tat-Jun Chin
Submissions open for special issue of Remote Sensing
Submissions are now open for a special issue of Remote Sensing on “Deep Learning for Remote Sensing Data”.
[Read more about Submissions open for special issue of Remote Sensing ]
Applications open for ARC Grant-Funded Researcher
We are seeking a postdoctoral researcher for the ARC-funded project New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search.
[Read more about Applications open for ARC Grant-Funded Researcher ]
Applications for Industry PhD Scholarship now open
Students interested in applying for an Industry PhD Scholarship in machine learning at the University of Adelaide can find more details here.
[Read more about Applications for Industry PhD Scholarship now open ]
Getting junk out of space
A crack Australian team is using machine learning to tackle the threat of space junk wrecking new satellites.
SmartSat funding success
Congratulations to Associate Professor Tat-Jun Chin on his successful bid for SmartSat funding for his proposal Ultra-fine Attitude Control via Event-based Star Tracking and Piezoelectric Stabilisation.
Dr Chin finalist in Australian Space Awards
Associate Professor Tat-Jun Chin (Director, Machine Learning for Space) as been announced as a finalist for the inaugural Australian Space Awards, in the Academic of the Year category.
[Read more about Dr Chin finalist in Australian Space Awards]
AIML's ARC Discovery Project 2020 success
Congratulations to Dr Tat-Jun Chin, Professor Chunhua Shen, Professor Ian Reid and Dr Seyed Hamid Rezatofighi on their ARC Discovery Grant success.
[Read more about AIML's ARC Discovery Project 2020 success ]
Pose Estimation Challenge winners!
Associate Professor Tat-Jun Chin and Dr Bo Chen have won a global space challenge run by the European Space Agency, beating teams from a range of prominent universities.
Best Paper Finalist at CVPR 2019 Workshop
Congratulations to Associate Professor Tat-Jun Chin and Samya Bagchi. Their paper, Star Tracking using an Event Camera, was acknowledged as a Best Paper Award Finalist at the 2nd International Workshop on Event-based Vision and Smart Cameras at CVPR 2019. Read about their work here.
[Read more about Best Paper Finalist at CVPR 2019 Workshop ]
