Daniel Cremers

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Daniel Cremers
CitizenshipGerman
EducationUniversity of Heidelberg, University of Mannheim
AwardsGottfried Wilhelm Leibniz Prize
Scientific career
FieldsComputer vision, mathematical image analysis, partial differential equations, convex and combinatorial optimization, machine learning and statistical inference
InstitutionsTechnische Universität München
Thesis (2002)

Daniel Cremers is a computer scientist, Professor of Informatics and Mathematics and Chair of Computer Vision & Artificial Intelligence at the Technische Universität München.[1] His research foci are computer vision, mathematical image, partial differential equations, convex and combinatorial optimization, machine learning and statistical inference.[1]

Career[]

Daniel Cremers received a bachelor's degree in Mathematics (1994) and Physics (1994), and later a master's degree in Theoretical Physics (1997) from the University of Heidelberg. He obtained obtained a PhD in Computer Science from the University of Mannheim in 2002. He was a postdoctoral researcher at UCLA. He was associate professor at the University of Bonn from 2005 until 2009.[1]

He received a Starting Grant (2009), and a Consolidator Grant (2015) by the European Research Council. On March 1, 2016, Cremers received the Gottfried Wilhelm Leibniz Prize for having "brought the field of image processing and pattern recognition an important step closer to its goal of reproducing the abilities of human vision with camera systems and computers."[1][2]

Selected publications[]

  • Dosovitskiy, Alexey, et al. "Flownet: Learning optical flow with convolutional networks." Proceedings of the IEEE international conference on computer vision. 2015.
  • Engel, Jakob, Thomas Schöps, and Daniel Cremers. "LSD-SLAM: Large-scale direct monocular SLAM." European conference on computer vision. Springer, Cham, 2014.
  • Sturm, Jürgen, et al. "A benchmark for the evaluation of RGB-D SLAM systems." 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2012.
  • Cremers, Daniel, Mikael Rousson, and Rachid Deriche. "A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape." International journal of computer vision 72.2 (2007): 195–215.

References[]

  1. ^ Jump up to: a b c d "Prof. Dr. Daniel Cremers". Computer Vision Group, TUM Department of Informatics, Technical University of Munich. Retrieved 23 February 2020.
  2. ^ "Gottfried Wilhelm Leibniz Prize 2016". ChemViews. Retrieved 23 February 2020.
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