News: Tat-Jun Chin
Submissions are now open for a special issue of Remote Sensing on “Deep Learning for Remote Sensing Data”.
We are seeking a postdoctoral researcher for the ARC-funded project New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search.
Students interested in applying for an Industry PhD Scholarship in machine learning at the University of Adelaide can find more details here.
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.
Congratulations to Dr Tat-Jun Chin, Professor Chunhua Shen, Professor Ian Reid and Dr Seyed Hamid Rezatofighi on their ARC Discovery Grant success.
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.
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.