| Daniel Cremers | |
| Birth Place: | Freiburg im Breisgau, Germany |
| Fields: | Computer vision, mathematical image analysis, partial differential equations, convex and combinatorial optimization, machine learning and statistical inference |
| Workplaces: | Technische Universität München |
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| Thesis Year: | 2002 |
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Daniel Cremers (born 1971) is a German computer scientist, Professor of Informatics and Mathematics and Chair of Computer Vision & Artificial Intelligence at the Technische Universität München. His research foci are computer vision, mathematical image, partial differential equations, convex and combinatorial optimization, machine learning and statistical inference.
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.
He received a Starting Grant (2009), a Consolidator Grant (2015) and an Advanced Grant (2020) 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]