Stefan Roth

Stefan Roth (born on March 13, 1977 in Mainz, Germany)[1][2] is a German computer scientist, professor of computer science and dean of the department of computer science of the Technische Universität Darmstadt. He heads the Visual Inference Lab.

He is known for his research on computer vision and machine learning techniques in computer vision. His research focuses on recognition and tracking of people and objects, scene understanding, statistical image modeling and processing and motion modeling and prediction.

Life

Roth studied computer science and engineering at the University of Mannheim, obtaining his diplom in 2011. The title of his thesis was "Analysis of a Deterministic Annealing Method for Graph Matching and Quadratic Assignment Problems in Computer Vision".[3] He then studied computer science at Brown University, where he received his Masters degree. In 2007, he received his PhD in computer science under Michael Julian Black from the same institution. The title of his dissertation was "High-Order Markov Random Fields for Low-Level Vision".[4] From 2007 to 2013 he was assistant professor and since 2013 professor at the department of computer science of the Technische Universität Darmstadt, where he heads the Visual Inference Lab. He is also dean of the department.[1][5][6]

He is principal investigator of the ELLIS Unit at TU Darmstadt.[7]

Awards

In 2001, he received the Dean’s Fellowship of Brown University. In 2005, he became associate member of Sigma Xi and received honorable mention for the Marr Prize at the International Conference on Computer Vision (ICCV).[1][8] In 2010, Roth was awarded the Olympus Prize of the German Association for Pattern Recognition (DAGM), the highest German award for researchers in the areas of pattern recognition, image processing and computer vision.[9] In 2012, he received the Heinz Maier-Leibnitz-Preis, the highest award for young researchers in Germany.[10][11] In 2013, he received an ERC Starting Grant, the highest award of the European Union for young researchers, with a grant of 1.5 million euros for the project "Visual Learning and Inference in Joint Scene Models (VISLIM)".[12] In 2019, he received an ERC Consolidator Grant.[13] Roth is a member of the European Laboratory for Learning and Intelligent Systems (ELLIS).[14]

Publications
  • D. Sun, S. Roth and M. J. Black, "Secrets of optical flow estimation and their principles," 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, 2010, pp. 2432-2439. DOI:10.1109/CVPR.2010.5539939
  • Baker, S., Scharstein, D., Lewis, J.P. et al. Int J Comput Vis (2011) 92: 1. DOI:10.1007/s11263-010-0390-2
  • Roth, Stefan & Black, Michael. (2005). Fields of Experts: A Framework for Learning Image Priors.. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2. 860-867. DOI: 10.1109/CVPR.2005.160.
  • Scharwächter T., Enzweiler M., Franke U., Roth S. (2013) Efficient Multi-cue Scene Segmentation. In: Weickert J., Hein M., Schiele B. (eds) Pattern Recognition. GCPR 2013. Lecture Notes in Computer Science, vol 8142. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-40602-7_46. ISBN 978-3-642-40601-0, 978-3-642-40602-7
  • Gao, Qi & Roth, Stefan. (2012). How Well Do Filter-Based MRFs Model Natural Images?. 62-72. DOI: 10.1007/978-3-642-32717-9_7.
gollark: Megakiure or something... let me find that...
gollark: noitisnot
gollark: You can interpret 4D as "3D+time" or "4 spatial dimensions", I guess.
gollark: The fourth *spatial* dimension, should such a thing exist, wouldn't be, no.
gollark: We can understand it in terms of 4-dimensional vectors or whatever, but that's very abstract, and I think it can be projected down to 2D, though it looks odd.

References
  1. Curriculum vitae of Stefan Roth
  2. Curriculum vitae of Stefan Roth from the website of the German Research Foundation (DFG)
  3. Diplom thesis of Stefan Roth from the website of the Technische Universität Darmstadt
  4. Dissertation High-Order Markov Random Fields for Low-Level Vision from the Brown University website
  5. Lab, Visual Inference. "Stefan Roth". Visual Inference Lab – Technische Universität Darmstadt. Retrieved 2019-11-27.
  6. Science, Department of Computer. "Dean's Office". Department of Computer Science – Technische Universität Darmstadt. Retrieved 2019-11-28.
  7. Darmstadt, Technische Universität (2019-12-10). "Im europäischen Netzwerk für KI-Spitzenforschung". Technische Universität Darmstadt (in German). Retrieved 2019-12-13.
  8. "Member Directory". www.sigmaxi.org. Retrieved 2019-11-27.
  9. "Deutscher Mustererkennungspreis". www.dagm.de. Retrieved 2019-11-27.
  10. List of people who received the Heinz Maier-Leibnitz-Preis from the website of the German Research Foundation
  11. "DFG - Deutsche Forschungsgemeinschaft - Dr. Stefan Roth - Heinz Maier-Leibnitz-Preisträger 2012". www.dfg.de. Retrieved 2019-11-27.
  12. "ERC FUNDED PROJECTS". ERC: European Research Council. Retrieved 2019-11-27.
  13. "TU Darmstadt: ERC Consolidator Grant for Research on deep neural networks in computer vision". idw-online.de. Retrieved 2019-12-10.
  14. Williams, Jonathan. "Members". European Lab for Learning & Intelligent Systems. Retrieved 2019-11-30.
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