Pietro Perona

Pietro Perona
Pietro Perona presenting at the 18th annual Signal and Image Sciences Workshop at Lawrence Livermore National Laboratory.
Born 1961 (age 56–57)[1]
Padua, Italy
Nationality Italy Italian
United States American
Alma mater University of Padua
University of California, Berkeley (1990, PhD)
Known for Computer vision
Machine learning
Cognitive neuroscience
Awards Longuet-Higgins Prize (2013), Koenderink Prize (2010)
Scientific career
Fields Computer Science
Institutions California Institute of Technology
Doctoral advisor Jitendra Malik
Doctoral students Fei-Fei Li
Jean-Yves Bouguet
Stefano Soatto
Website www.vision.caltech.edu/Perona.html

Pietro Perona is the Allan E. Puckett Professor of Electrical Engineering and Computation and Neural Systems at the California Institute of Technology and director of the National Science Foundation Engineering Research Center in Neuromorphic Systems Engineering. He is known for his research in computer vision and is the director of the Caltech Computational Vision Group.[2]

Academic biography

Perona obtained his D.Eng. in electrical engineering cum laude from the University of Padua in 1985 and completed his Ph.D. at the University of California, Berkeley in 1990.[1][3] His dissertation was titled Finding Texture and Brightness Boundaries in Images, and his adviser was Jitendra Malik.[4] In 1990, he was a postdoctoral fellow at the International Computer Science Institute at Berkeley. From 1990 to 1991, he was a postdoctoral fellow at the Massachusetts Institute of Technology in the Laboratory for Information and Decision Systems.[5] He has been on the faculty of the California Institute of Technology since 1991, and he was named Allan E. Puckett Professor in 2008.[3]

Research

Perona’s research focuses on the computational aspects of vision and learning. He developed the anisotropic diffusion equation, a partial differential equation that reduces noise in images while enhancing region boundaries. He is currently interested in visual recognition and in visual analysis of behavior. [6] [7] [8] Perona and Serge Belongie lead the Visipedia project, which facilitates research on visual knowledge representation, visual search, and human-in-the-loop machine learning systems. [9] [10]

Perona pioneered the study of visual categorization (including the publication of the Caltech 101 dataset) for which he was awarded the Longuet-Higgins Prize in 2013.[11] He is also the recipient of the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision, the 2003 Conference on Computer Vision and Pattern Recognition best paper award, and a 1996 NSF Presidential Young Investigator Award.

Media Coverage

Perona has been quoted or had his research featured in various national media outlets, including the New York Times,[6][12][13] Science Friday,[14] The New Yorker,[15] and the Los Angeles Times.[16] In 2003, Perona and Stephen Nowlin organized the NEURO art exhibition, which brought together contemporary artists and scientists to explore neuromorphic engineering. [17]

References

  1. 1 2 Perona, Pietro; Malik, Jitendra (1990). "Scale-space and edge detection using anisotropic diffusion". IEEE Transactions on Pattern Analysis and Machine Intelligence. doi:10.1109/34.56205.
  2. ↑ http://www.vision.caltech.edu
  3. 1 2 Pietro Perona at the Caltech directory
  4. ↑ Pietro Perona at the Mathematics Genealogy Project
  5. ↑ Pietro Perona at the Simons Foundation
  6. 1 2 J. Gorman. To Study Aggression, a Fight Club for Flies. The New York Times. Feb. 3, 2014
  7. ↑ Lizzie Buchen. Behavior: Flies on film. Nature, Dec. 2, 2009.
  8. ↑ M. Reiser. The ethomics era? Nature Methods 6, 413 - 414 (2009)
  9. ↑
  10. ↑ Belongie, Serge; Perona, Pietro (2016). "Visipedia circa 2015". Pattern Recognition Letters. 72: 15–24. doi:10.1016/j.patrec.2015.11.023.
  11. ↑
  12. ↑
  13. ↑
  14. ↑
  15. ↑
  16. ↑
  17. ↑ Suzanne Muchnic. Avant Science. Los Angeles Times, Feb. 16, 2003.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.