Michael was previously a member of the Max Planck Center for Visual Computing and Communication, both at Stanford University and MPII. He earned his PhD from TU Darmstadt for his research on knowledge transfer for object class recognition.
Michael’s work has been published in CVPR, ICCV, ECCV, ICLR, and he received back-to-back Best Paper Awards at CVPR-3dRR. He is thrilled to be able to teach intelligent machines how to see.
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