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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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ultra-efficient lasers and all-optical transistors. Our goal is to uncover the elusive physics of strongly interacting polaritons far from equilibrium, bringing the vision of room-temperature superfluid
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Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply your expertise in power systems to enhance Australia’s evolving energy networks
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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Inclusion Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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-athletes. Leveraging state-of-the-art artificial intelligence (AI), markerless motion capture and stereo vision technologies, this research will tackle critical challenges in biomechanics and sports science
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university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working together to build a better world