Jitendra Malik

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Jitendra Malik (born 1960) is a researcher in computer vision, the Arthur J. Chick Professor of Electrical Engineering and Computer Science at the University of California, Berkeley.[1]

Two of Malik's research results have been awarded the Longuet-Higgins Prize for fundamental contributions to computer vision that have stood the test of time. In 2007, he won the prize for his work on image segmentation and segmentation-based object categorization, and in 2008 he won it for video tracking of people.[2] Malik also coinvented Perona–Malik diffusion, a popular noise reduction technique for images,[3] and pioneered the use of shape context in object recognition.[4]

Malik was born in Mathura, India. He earned a bachelor's degree from the Indian Institute of Technology Kanpur in 1980, and received a gold medal as the best graduating student there in electrical engineering.[1] In 1985 he earned a Ph.D. from Stanford University under the supervision of Thomas Binford.[1][5] He was appointed to the Chick professorship in 2002, and is a fellow of both the IEEE[1] and the Association for Computing Machinery.[6]

References

  1. ↑ 1.0 1.1 1.2 1.3 Biography from 2008 Adobe distinguished lecture series, retrieved 2010-12-04.
  2. ↑ Longuet-Higgins Prize for Fundamental Contributions in Computer Vision, from CVPR 2009, retrieved 2010-12-04.
  3. ↑ Perona, Pietro; Malik, Jitendra (1987), "Scale-space and edge detection using anisotropic diffusion", Proceedings of IEEE Computer Society Workshop on Computer Vision, pp. 16–22 .
  4. ↑ Belongie, S.; Malik, Jitendra (2000), "Matching with Shape Contexts", IEEE Workshop on Contentbased Access of Image and Video Libraries (CBAIVL-2000) .
  5. ↑ Jitendra Malik at the Mathematics Genealogy Project.
  6. ↑ ACM Fellows Award: Jitendra Malik, retrieved 2010-12-05.

External links

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