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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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– 57k Euro / year + benefits). Topics include: Neural Rendering, 3D Reconstruction, SLAM / Pose Tracking, Semantic Scene Understanding, Face/Body Tracking, Non-Linear Optimization, Media Forensics / Fake
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(sensitivity, stability, selectivity) towards fast- tracking sensing functionality using a variety of electrochemical techniques. • Investigate and validate the sensing mechanism and rate limiting steps and
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a similar subject and ideally have a proven track record in science. Our Research Fields We cover a broad range of topics in our work, but have a particular focus on the development of software and