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.

[Read more about Getting junk out of space]

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.

[Read more about SmartSat funding success ]

Dr Chin finalist in Australian Space Awards

TJ Updated

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!

TJ Updated

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. 

[Read more about Pose Estimation Challenge winners!]

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 ]

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