Matthias Niessner

Matthias Nießner (born 1986) is a professor of computer science and entrepreneur from Germany, working in the fields of Computer Graphics and Computer Vision. He is an assistant professor of Computer Science[1] at the Technical University of Munich. As a member of the Max Planck Center for Visual Computing and Communication Junior Research Group Program, he was a Visiting Assistant Professor at Stanford University, working in the lab of Pat Hanrahan.[2]

Matthias Nießner
Born
Gunzenhausen
CitizenshipGerman
Alma materUniversity of Erlangen-Nuremberg (2013)
Scientific career
FieldsComputer Graphics, Computer Vision
InstitutionsTechnical University of Munich (assistant professor)
ThesisRendering Subdivision Surfaces using Hardware Tessellation (2013)
Doctoral advisorGünther Greiner
Websitewww.niessnerlab.org

Nießner was awarded a Google Faculty Research Award in 2017 for Photo-realistic Avatars from Videos: Free Viewpoint Animation of Human Faces,[3] as well as a Rudolf Mössbauer Fellowship from the Technical University of Munich.[4]

Education and academic work

Nießner received a Ph.D. in computer graphics from the University of Erlangen-Nuremberg in 2013[5] and received his Diploma degree in 2010. His thesis on the topic of Subdivision Surface Rendering using Hardware Tessellation was submitted in 2013 and was awarded the highest honors. Some ideas from this thesis were used in the most recent version of Pixar's OpenSubdiv, which also incorporates ideas dating back to 1996 from Edwin Catmull, Tony DeRose, Michael Kass, Charles Loop, and Peter Schröder.[6] Through a Junior Research Group Program, Nießner was a Visiting Assistant Professor from 2013 to 2017 at Stanford University in the lab of Pat Hanrahan. Since 2017 he has been an assistant professor at TUM, where he heads the Visual Computing Lab.

Nießner's work focuses on 3D reconstruction and semantic scene understanding. Among his best-known work is that on facial reenactment,[7] which has been widely criticized for contributing to the ease with which fake news can be generated.[8][9][10] The majority of the external stake in his company Synthesia comes from speculative 2020 US Presidential candidate Mark Cuban.[11] He developed with his colleagues Face2Face, which was the first work to manipulate facial expressions from consumer cameras in real time.[12][13] More recently, he has been working on 3D semantic scene understanding, developing with his colleagues ScanNet, the first large-scale, densely-annotated 3D dataset.[14]

References
  1. from faculty roster at Technical University of Munich, retrieved 2018-05-09.
  2. "Matthias Niessner". Max Planck Center for Visual Computing and Communication. Retrieved December 26, 2018.
  3. "Google Faculty Research Awards 2017". Archived from the original on 2018-09-21. Retrieved 2018-05-09.
  4. from fellows roster at Technical University of Munich, retrieved 2018-05-09.
  5. Matthias Nießner (2013). Real-time Rendering Techniques with Hardware Tessellation. Dr. Hut. ISBN 978-3-8439-1182-5.
  6. "OpenSubdiv - Introduction". Retrieved 2018-05-09.
  7. Gorman, James (26 October 2015). "Manipulating Faces From Afar in Realtime". The New York Times. Retrieved 2018-05-09.
  8. Pagnamenta, Robin (27 October 2018). "Tech that 'threatens democracy' is being funded by UK taxpayers". The Telegraph. Retrieved 2018-12-26.
  9. Funke, Daniel (8 May 2018). "These academics are on the frontlines of fake news research". poynter.org. Poynter. Retrieved 2018-12-26.
  10. Lory, Gregoire (16 October 2018). "The next frontier in information manipulation". euronews.com. Euronews. Retrieved 2018-12-26.
  11. Pagnamenta, Robin (27 October 2018). "Tech that 'threatens democracy' is being funded by UK taxpayers". The Telegraph. Retrieved 2018-12-26.
  12. "Smart 3D modeling lets you mess with faces in videos". Retrieved 2018-05-09.
  13. "Why you should be skeptical that any video is real". Retrieved 2018-05-09.
  14. "A Massive New Library of 3-D Images Could Help Your Robot Butler Get Around Your House". Retrieved 2018-05-09.
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