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2017 Laureate Profile: Professor Dacheng Tao

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Formal headshot of Professor Dacheng Tao

Professor Dacheng Tao

Administering Organisation: The University of Sydney
Discipline Area: Engineering, Information and Computing Sciences

Fellowship project summary

On snapping up semantics of dynamic pixels from moving cameras (FL170100117)

The project aims to develop a suite of original models and algorithms for processing and understanding videos captured by moving cameras, and to establish the mathematical foundations for deep learning-based computer vision to provide theoretical underpinnings. The project expects to generate new knowledge that will transform moving-camera computer vision with step-changes in visual quality enhancement, compression and acceleration technologies, and solutions for fundamental computer vision tasks. A new concept of feature complexity for measuring the discriminant and learnable abilities of features from deep models will also be defined. The outcomes of the project will be critical for enabling autonomous machines to perceive and interact with the environment.

Australian Research Council funding: $3,208,192

About Professor Tao

Professor Dacheng Tao is a Professor of Computer Science in the School of Information Technologies at The University of Sydney. Professor Tao’s research interests include artificial intelligence (AI), computer vision, deep learning, statistical learning and their applications to neuroscience, robotics, video surveillance and medical informatics. He has significantly contributed to national and international AI technology, systems development and knowledge. His research results have expounded in one monograph, as well as more than 500 publications in prestigious journals and prominent conferences, with several best paper awards—such as: the best theory/algorithm paper runner up award in the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Data Mining (ICDM) 2007; the best student paper award in IEEE ICDM 2013; the 2014 ICDM 10-year highest-impact paper award; and the 2017 IEEE Signal Processing Society Best Paper Award. In 2015–2016, Professor Tao was ranked as a Highly Cited Researcher for Engineering and Computer Science by Thomas Reuters. Professor Tao received the 2015 Australian Scopus-Eureka Prize and the ACS Gold Disruptor Award. He is a Fellow of the IEEE, Optical Society of America, International Association of Pattern Recognition and SPIE (the international society for optics and photonics).

Find out more about Professor Tao and his research by visiting his profile page on The University of Sydney website.

For further information about this funding scheme, please visit the Australian Laureate Fellowships scheme page on the ARC website.


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