The university of Queensland Australia
State University, Browse similar opportunities
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State University, Browse similar opportunities
Supervisor - Professor Brian Lovell
The project is to develop advanced techniques for Face Recognition and Face Synthesis based on Deep Learning and Convolutional Neural Networks (CNNs). The major aim is to synthesize human faces using State of the Art techniques such as StyleGAN2 for the purpose of creating a ethical database for the training of improved face recognition systems and related technologies. A secondary objective is to improve the recognition of masked persons during the COVID pandemic by synthesizing human faces wearing masks. This project has UQ Ethics exemption as no real human faces are required.
A working knowledge of deep learning, Tensorflow, Keras, Pytorch, Python, image processing, biometrics, face recognition, face synthesis, StyleGAN and StyleGAN2 would be of benefit to someone working on this project.
The University of Queensland Artificial Intelligence (UQAI) group is a world leader in deep learning and AI researching at the very edge of these exciting technologies. The PhD Advisor, Professor Lovell, is a Fellow of the Asia-Pacific AI Association, member of the IEEE Biometrics Council and IAPR TC4 on Biometrics and has supervised over 30 PhDs to successful completion. The Group has significant NVIDIA GPU infrastructure including several V100 GPU processors for deep learning. Researchers also have access to UQ's huge Wiener deep learning supercomputer which is the largest GPU cluster in the Southern Hemisphere.
UQ ranks in the world’s top universities, as measured by several key independent ranking, including the Performance Ranking of Scientific Papers for World Universities (43), the US News Best Global Universities Rankings (52), QS World University Rankings (47), Academic Ranking of World Universities (55), and the Times Higher Education World University Rankings (60). UQ again topped the nation in the prestigious Nature Index and our Life Sciences subject field ranking in the Academic Ranking of World Universities was the highest in Australia at 20.
To be eligible, you must meet the entry requirements for a higher degree by research.
This scholarship is open to Australian citizens, permanent residents and International students who are currently in Australia at the time of application and commencement.
To apply for admission and scholarship, follow the link on the upper right of this page. There is no separate application for scholarship because you will have the opportunity to request scholarship consideration on the application for admission.
Before submitting an application you should:
When you apply, please ensure that under the scholarships and collaborative study section you:
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Learn more about applying for a higher degree by research at UQ
Applications will be judged on a competitive basis taking into account the applicant’s previous academic record, publication record, honours and awards, and employment history.
The applicant will demonstrate academic achievement in the field/s of computer vision, deep learning, artificial Intelligence and the potential for scholastic success.
A background or knowledge of engineering and computer science is highly desirable.
Scholarship value : $28,854 per annum (2022 rate), indexed annually
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