Thomas BroxProfessor for Pattern Recognition and Image ProcessingHead of the Computer Vision Group Department of Computer Science University of Freiburg Germany Office location: Georges-Köhler-Allee, Building 052, room 01-29/30 79110 Freiburg Contact and consultation: make an appointment |
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| Personal | Contact | Publications | Curriculum Vitae |
| Research Interests |
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Thomas Brox is interested in computer vision and deep learning with focus on visual representation learning, video analysis, and learned 3D representations. In particular, he explores ways to train deep networks with less data and less human supervision, which is today the bottleneck for most application domains. He is also investigating the robustness of learned models to data variation and more natural ways of learning via robotics. More details about the main research topics can be found on the team's research page. Google Scholar Profile |
| Brief Bio |
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Thomas Brox received his Ph.D. in computer science from Saarland University, Germany in 2005. He was a postdoc at the University of Bonn, the University of Dresden and the University of California at Berkeley. In 2010, he moved to the University of Freiburg, where he is heading the Computer Vision Group. Prof. Brox was program chair of ECCV 2020 and area chair for the major computer vision conferences. He received the Longuet-Higgins Best Paper Award in 2004 and the Koenderink Prize for Fundamental Contributions in Computer Vision in 2014 for his work on optical flow estimation. He authored seminal works in deep learning, such as U-Net and FlowNet. In 2011 he was awarded an ERC starting grant. He is an ELLIS fellow and, since 2020, he is also an Amazon Scholar in the Tübingen lablet. |