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The Max Planck Institute for Intelligent Systems has campuses in Stuttgart and Tübingen. The institute combines – within one center – theory, software, and hardware expertise in the research field of intelligent systems. The Tübingen campus focuses on how intelligent systems process information to perceive, act and learn through research ...
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European Lab for Learning and Intelligent Systems (ELLIS)...
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Diamond dust shines bright in Magnetic Resonance Imaging. 25...
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Have you noticed that computers can show beautiful images...
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Our research uses Computer Vision to learn digital humans...
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Heisenbergstr. 3, 70569, Stuttgart. and Max-Planck-Ring 4, 72076 Tübingen. Location. Germany. Website. is .mpg .de /en /. Founded on 18 March 2011, the Max Planck Institute for Intelligent Systems [1] (MPI-IS) is one of the 86 research institutes of the Max Planck Society. With locations in Stuttgart and Tübingen, it combines ...
The Max Planck Institute for Intelligent Systems combines – within one center – theory, software, and hardware expertise in the research field of intelligent systems. The Tübingen campus of the institute focuses on theory and algorithms as well as human-scale systems covering topics such as machine learning, computer vision, control, and ...
The scientists at the Max Planck Institute for Intelligent Systems are carrying out basic research and development of intelligent systems in all three sub-areas. Research expertise in the areas of computer science, materials science, and biology is brought together in one Institute, at two different sites. Machine learning, image recognition ...
The seven departments in the MPI for Intelligent Systems (IS) are Perceiving Systems (led by Michael Black), Autonomous Motion (led by Stefan Schaal) . and Empirical Inference (led by Bernhard Schölkopf) in Tübingen, covering computer vision, machine learning and robotics. And in Stuttgart we have the Physical Intelligence (led by Metin Sitti ...
Scientists at the Max Planck Institute for Intelligent Systems are dedicated to the fundamental research and development of intelligent systems in all three subdomains. Research expertise in the fields of computer and material sciences as well as biology are combined in one institute at two locations. Machine learning, image recognition ...
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The goal is to learn from images and language how people behave and then recreate natural behavior in virtual 3D scenes. To advance this agenda, Perceiving Systems combines computer vision with machine learning and computer graphics to capture, model, and synthesize digital humans.