For seminal contributions in multiple aspects of computer vision, computer graphics, and computational models of human vision. Jitendra Malik's research has addressed several important problems in computer vision: how to characterize contours in images, how to segment images, and how to represent shape for feature matching. He also was a leader in evaluation methods through the creation of the Berkeley segmentation dataset, using human segmentations to evaluate the correctness of the algorithmic segmentations. He pioneered the use of normalized cuts, anisotropic diffusion, high dynamic range imaging, shape context and the use of graph theory for low-level to mid-level computer vision problems. In computer graphics, his research showed how digital photographs and user-guided photogrammetry can be used to synthesize highly photorealistic computer-generated architectural scenes. He also has made important contributions to computational models of human texture perception including segmentation, shape from texture, and intrinsic image computation. Malik is the Arthur J. Chick Professor of EECS at the University of California, Berkeley. He received the PAMI-TC Distinguished Researcher in Computer Vision Award in 2013, and in 2014 the K. S. Fu Prize from the International Association of Pattern Recognition. He is a fellow of the IEEE, the ACM, and the American Academy of Arts and Sciences. He is a member of the National Academy of Engineering and the National Academy of Sciences. Press Release
For contributions to computer vision.
Computer Vision, Computational Modeling of Human Vision, Computer Graphics
Honors and Awards
Computer Pioneer Award, IEEE Computer Society, 2019
IJCAI Award for Research Excellence, 2018
Best paper prize, IEEE CVPR 2018
Helmholtz Prize for a Contribution That Has Stood the Test of Time, ICCV, 2003
ACM-AAAI Allen Newell Award, 2016.
National Academy of Sciences, 2015.
Helmholtz Prize (1) for a Contribution That Has Stood the Test of Time, ICCV, 2001
Helmholtz Prize (2) for a Contribution That Has Stood the Test of Time, ICCV, 2001
Best student paper award, IEEE CVPR 2016 (adviser)
King-Sun Fu Prize of the International Association of Pattern Recognition, 2014.
IEEE PAMI-TC Distinguished Researcher in Computer Vision, 2013.
American Academy of Arts and Sciences, 2013.
National Academy of Engineering, 2011.
Arthur J. Chick Endowed Professor of EECS, UC Berkeley, 2002-continuing.
ISI Highly Cited Researcher in Engineering.
Fellow, ACM, 2008.
Longuet-Higgins Prize for a Contribution That Has Stood the Test of Time, IEEE CVPR, 1998
Distinguished Alumnus Award, IIT Kanpur, 2008.
Longuet-Higgins Prize for a Contribution That Has Stood the Test of Time, IEEE CVPR, 1997
Fellow, IEEE, 2005.
Miller Research Professor, UC Berkeley, 2001.
Diane S. McEntyre Award for Excellence in Teaching, CS Div., UC Berkeley, 2000.
Honorable mention for Best Industry-Related Paper at ICPR, 1994.
Rosenbaum Fellow, Newton Institute of Math. Sciences, Cambridge, 1993.
Presidential Young Investigator Award 1989.
IBM Faculty Development Award 1986-88.
IBM Fellowship for Doctoral Study in Computer Science 1983-85.
Best Graduating Student in Electrical Engineering, IIT Kanpur 1980.
One of the top ten students in the Indian School Certificate Exam. 1974