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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of environment, and the future of mobility. More than 50
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stimulating environment (TranslaTUM) - a young and dynamic international research group - Further training opportunities - Initial employment contract for 2-3 years with a standard public service salary (TV
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25.06.2021, Wissenschaftliches Personal We are an active and lively research group who is passionate about science. We are working in an environment which may best be characterized by the passion
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the career • Numerous benefits of one of the leading universities in Europe • Exciting research and working environment in a dedicated team • Great opportunity to contribute to the successful development