Daniel Cremers: Difference between revisions

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==Selected publications==
==Selected publications==
* {{cite conference | last=Dosovitskiy | first=Alexey | last2=Fischer | first2=Philipp | last3=Ilg | first3=Eddy | last4=Hausser | first4=Philip | last5=Hazirbas | first5=Caner | last6=Golkov | first6=Vladimir | last7=Smagt | first7=Patrick van der | last8=Cremers | first8=Daniel | last9=Brox | first9=Thomas | title=FlowNet: Learning Optical Flow with Convolutional Networks | publisher=IEEE | year=2015 | doi=10.1109/iccv.2015.316}}
*Dosovitskiy, Alexey, et al. "Flownet: Learning optical flow with convolutional networks." Proceedings of the IEEE international conference on computer vision. 2015.
* {{cite book | last=Engel | first=Jakob | last2=Schöps | first2=Thomas | last3=Cremers | first3=Daniel | title=Computer Vision – ECCV 2014 | chapter=LSD-SLAM: Large-Scale Direct Monocular SLAM | publisher=Springer International Publishing | publication-place=Cham | year=2014 | isbn=978-3-319-10604-5 | issn=0302-9743 | doi=10.1007/978-3-319-10605-2_54}}
*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.
* {{cite conference | last=Sturm | first=Jürgen | last2=Engelhard | first2=Nikolas | last3=Endres | first3=Felix | last4=Burgard | first4=Wolfram | last5=Cremers | first5=Daniel | title=A benchmark for the evaluation of RGB-D SLAM systems | publisher=IEEE | year=2012 | doi=10.1109/iros.2012.6385773 | page=}}
* {{cite journal | last=Cremers | first=Daniel | last2=Rousson | first2=Mikael | last3=Deriche | first3=Rachid | title=A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape | journal=International Journal of Computer Vision | publisher=Springer Science and Business Media LLC | volume=72 | issue=2 | date=6 August 2006 | issn=0920-5691 | doi=10.1007/s11263-006-8711-1 | pages=195–215}}
*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==
==References==

Revision as of 07:32, 15 December 2021

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 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; Fischer, Philipp; Ilg, Eddy; Hausser, Philip; Hazirbas, Caner; Golkov, Vladimir; Smagt, Patrick van der; Cremers, Daniel; Brox, Thomas (2015). FlowNet: Learning Optical Flow with Convolutional Networks. IEEE. doi:10.1109/iccv.2015.316.
  • Engel, Jakob; Schöps, Thomas; Cremers, Daniel (2014). "LSD-SLAM: Large-Scale Direct Monocular SLAM". Computer Vision – ECCV 2014. Cham: Springer International Publishing. doi:10.1007/978-3-319-10605-2_54. ISBN 978-3-319-10604-5. ISSN 0302-9743.
  • Sturm, Jürgen; Engelhard, Nikolas; Endres, Felix; Burgard, Wolfram; Cremers, Daniel (2012). A benchmark for the evaluation of RGB-D SLAM systems. IEEE. doi:10.1109/iros.2012.6385773.
  • Cremers, Daniel; Rousson, Mikael; Deriche, Rachid (6 August 2006). "A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape". International Journal of Computer Vision. 72 (2). Springer Science and Business Media LLC: 195–215. doi:10.1007/s11263-006-8711-1. ISSN 0920-5691.

References

  1. ^ 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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