University of Adelaide researchers have been awarded more than $13.8 million for new research, with AIML receiving just over $1 million of those funds.
Professor Ian Reid and Professor Anton van den Hengel feature in Rising to global challenges, a 32 page magazine showcasing the innovative and world-class research work being undertaken at the University of Adelaide. You can read about their research here.
The AIML (formally ACVT) has joined the Australian Driverless Vehicle Initiative (ADVI), the peak body for driverless vehicles in Australia.
A research team (Dr. Guosheng Lin, Prof. Chunhua Shen, Prof. Ian Reid, Prof. Anton van den Hengel) at the School of Computer Science, The University of Adelaide developed innovative “Deep Structured Learning” techniques that set up the new state-of-the-art semantic image segmentation record in the PASCAL VOC Challenge, which is organised by the University of Oxford. The Adelaide team is the top one currently, outperforming teams from Microsoft Research, Oxford, University of California, Los Angles etc.
In conjunction with the success of the Australian Centre for Robotic Vision’s workshops at CVPR2015 in Boston:
Professor Ian Reid and colleagues from Oxford have been awarded the Best Paper Award at the International Conference on 3D Vision, held in Tokyo, Japan from 8-11 December 2014
PhD Scholarships in Visual SLAM and Computer/Robotic Vision and Machine Learning for visual recognition
The Australian Centre for Visual Technologies (ACVT-now AIML) at The University of Adelaide has 12 PhD scholarships available for both local and international students interested in pursuing a PhD. These Scholarships are funded from an ARC Laureate Fellowship to Prof Ian Reid entitled “Lifelong Computer Vision Systems”, and an ARC Centre of Excellence in Robotic Vision, with Investigators Prof Reid, Prof Chunhua Shen, Dr Gustavo Carneiro and Prof Anon Van den Hengel.
ACVT researchers Prof. Ian Reid, Prof. Anton van den Hengel, Associate Prof. Chunhua Shen and Dr. Gustavo Carneiro are part of a team that has been awarded a prestigious ARC Centre of Excellence in Robotic Vision.