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Field
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Photogrammetry and Computer Vision.
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Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. However, most machine learning
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computer vision, chemometrics and aquaphotomics. These algorithms will be used to develop soft sensors to enable real-time phenotyping and water quality monitoring, with the eventual goal of utilising
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, 2024. The field of embedded computer vision has become increasingly important in recent years as the demand for low-latency and energy-efficient vision systems has grown. One of the key challenges in
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Supervisory Team: Dr Hansung Kim Project description: Computer Vision is one of the most active areas where artificial intelligence (AI) is being used. This area is extremely expanding and getting a
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: Conducting research on perception and situation understanding, making contributions to the state-of-the-art in the fields of simultaneous localization and mapping (SLAM), computer vision, machine learning
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at least one experimental audio-only VR game environment. The main tasks within this PhD project are: A: Develop new theoretical models for the design of VR games for people with vision disabilities B
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record of publications in computer vision and machine learning with recognitions like ICME 2018 Best Paper Award. Prof. Han is an established scholar in computer vision with industry experience. They have
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vision projects using computer vision libraries (OpenCV), machine learning frameworks (Pytorch and Tensorflow) Good understanding of ROS, ROS2 (Robot Operating System) and ability to work on Linux
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--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision