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Primary supervisor Thanh Thi Nguyen Research area Data Science and Artificial Intelligence This project aims to develop a computer vision system capable of detecting and classifying domestic geographic landmarks in images and video content. By categorizing locations such as “childcare centre”,...
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Primary supervisor Thanh Thi Nguyen Research area Data Science and Artificial Intelligence This project aims to develop a computer vision system capable of detecting and classifying domestic geographic landmarks in images and video content. By categorizing locations such as “childcare centre”,...
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researchers. Required knowledge Excellent in image/signal processing, and optimisation. Excellent in coding and writing. Medical imaging experience is desirable but not compulsory. Strong
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in conducting independent research project in deep learning, computer vision, image processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day
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representational form of the moving image for the past 150 years, VR introduces a new paradigm for cinematic expression and viewing experience. This challenge marks a transformational moment in the
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information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day
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and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law Enforcement (LE) context is to augment classification of material by
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and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law Enforcement (LE) context is to augment classification of material by