Michal Irani (Hebrew: מיכל איראני) is a professor in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science, Israel.[1]

Michal Irani
Alma materHebrew University of Jerusalem (PhD)
Scientific career
InstitutionsWeizmann Institute of Science
Thesis Multiple Motions in Image Sequences - Analysis and Applications  (1994)
Doctoral advisorShmuel Peleg
Websitewww.weizmann.ac.il/math/irani//

Education

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Irani received her Ph.D. degree in computer science from the Hebrew University of Jerusalem. Subsequently, she was a member of the Vision Technologies Laboratory at the Sarnoff Research Center (Princeton).[1]

Research

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Irani's research is in the area of computer vision, image processing, and artificial intelligence. In particular, she has done work on understanding the internal statistics of natural images and videos, the space-time analysis of videos, and on visual inference by composition.[2][3][4]

Selected awards

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References

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  1. ^ a b "Prof. Michal Irani". Weizmann Institute of Science. Retrieved 8 March 2020.
  2. ^ "Amplifying — or removing — visual variation". MIT News. Retrieved 9 March 2020.
  3. ^ "Artificial networks shed light on human face recognition". Science Daily.
  4. ^ "Artificial networks shed light on human face recognition". EurekAlert!. Retrieved 9 March 2020.
  5. ^ "The Rothschild Prize". The Rothschild Prize. Retrieved 7 March 2020.
  6. ^ Blank, Moshe; Gorelick, Lena; Shechtman, Eli; Irani, Michal; Basri, Ronen (2005). "Actions as space-time shapes". Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1. pp. 1395-1402 Vol. 2. doi:10.1109/ICCV.2005.28. ISBN 0-7695-2334-X. S2CID 175905. Retrieved 7 March 2020.
  7. ^ "Computer Vision Awards; The Computer Vision Foundation". The Computer Vision Foundation.
  8. ^ "IAPR Awards". IAPR. Retrieved 7 March 2020.
  9. ^ "Prizes list by year". Weizmann Institute. Retrieved 7 March 2020.
  10. ^ "ICCV, ECCV and CVPR Best Paper Awards". Prize Papers. Retrieved 7 March 2020.
  11. ^ Irani, Michal; Anandan, P (2000). "Factorization with Uncertainty". European Conference on Computer Vision. Lecture Notes in Computer Science. 1842: 539–553. doi:10.1007/3-540-45054-8_35. ISBN 978-3-540-67685-0.
  12. ^ Shechtman, Eli; Caspi, Yaron; Irani, Michal (2002). "Increasing Space-Time Resolution in Video". European Conference on Computer Vision. Lecture Notes in Computer Science. 2350: 753–768. doi:10.1007/3-540-47969-4_50. ISBN 978-3-540-43745-1. Retrieved 7 March 2020.