Pedro Felipe Felzenszwalb

Pedro Felipe Felzenszwalb is a computer scientist and professor of the School of Engineering and Department of Computer Science at Brown University.

Pedro Felipe Felzenszwalb
EducationCornell University
Massachusetts Institute of Technology
AwardsLonguet-Higgins Prize (2010, 2018)
Grace Murray Hopper Award (2013)
Edward J. McCluskey Technical Achievement Award (2014)
Scientific career
Fields
InstitutionsBrown University
ThesisRepresentation and Detection of Shapes in Image (2003)
Doctoral advisorEric Grimson

Career

Felzenszwalb studied computer science at Cornell University, receiving his B.S. in 1999.[1] There, he began researching computer vision and artificial intelligence with Daniel P. Huttenlocher.[2] He earned his M.S. and Ph.D. degrees from the Massachusetts Institute of Technology in 2001 and 2003, respectively.[1] He became a faculty member at the University of Chicago in 2004, and was made an associate professor in 2008.[3] In 2010, he was awarded the Longuet-Higgins Prize for his work in the field of computer vision.[1]

Felzenszwalb joined Brown University as an associate professor in the School of Engineering and Department of Computer Science in 2011.[3] In 2013, he was awarded the Grace Murray Hopper Award by the Association for Computing Machinery for his contributions to the problem of object recognition in pictures and video.[2][4] In 2014, he was awarded the Edward J. McCluskey Technical Achievement Award by the IEEE for his work with object recognition with deformable models.[5]

In 2018, Felzenszwalb received the Longuet-Higgins Prize for fundamental contributions to computer vision a second time. In particular, this prize recognized his work with discriminately trained, multiscale, deformable part models. The prize was first awarded in 2005, and Felzenszwalb is among a select group of repeat winners.[6]

Selected publications
  • Felzenszwalb, Pedro F.; Huttenlocher, Daniel P. (September 2012). "Distance Transforms of Sampled Functions". Theory of Computing. 8 (19). doi:10.4086/toc.2012.v008a019.
  • Felzenszwalb, P F; Girshick, R B; McAllester, D; Ramanan, D (September 2010). "Object Detection with Discriminatively Trained Part-Based Models". IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (9): 1627–1645. doi:10.1109/TPAMI.2009.167.
  • Felzenszwalb, Pedro F.; Huttenlocher, Daniel P. (January 2005). "Pictorial Structures for Object Recognition". International Journal of Computer Vision. 61 (1): 55–79. doi:10.1023/B:VISI.0000042934.15159.49.
  • Pedro F. Felzenszwalb; Daniel P. Huttenlocher (1 May 2006). "Efficient Belief Propagation for Early Vision". International Journal of Computer Vision. 70 (1): 41–54. doi:10.1007/S11263-006-7899-4. ISSN 0920-5691. Wikidata Q56221805.
  • Felzenszwalb, Pedro F.; Huttenlocher, Daniel P. (September 2004). "Efficient Graph Based Image Segmentation". International Journal of Computer Vision. 59 (2): 167–181. doi:10.1023/B:VISI.0000022288.19776.77.

References
  1. "Pedro F. Felzenszwalb". IEEE Computer Society.
  2. "Pedro Felzenszwalb Wins ACM's Grace Murray Hopper Award". Brown University. April 18, 2014.
  3. Tarbox, Amy (October 17, 2011). "Pedro Felzenszwalb Given Joint Faculty Appointment with Computer Science and Engineering". Brown University. Retrieved 11 November 2021.
  4. "Pedro F Felzenszwalb". Association for Computing Machinery.
  5. "Pedro Felzenszwalb Wins Technical Achievement Award from IEEE Computer Society". Brown University. February 11, 2014. Retrieved 11 November 2021.
  6. Polhemus, Jesse (July 9, 2018). "Felzenszwalb Wins The Longuet-Higgins Prize For Fundamental Contributions To Computer Vision". Brown University.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.