ACM_Citations
    • USA-2016

      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

    • USA-2008

      For contributions to computer vision.

    Experience
    Education
    Bio
    Jitendra Malik is Arthur J. Chick Professor of Electrical Engineering and Computer Science at UC Berkeley, where he has been on the faculty since 1986. He is also on the faculty of the department of Bioengineering, and in the Cognitive Science and Vision Science groups.
    Professor Malik's research group has worked on many different topics in computer vision, computational modeling of human vision, computer graphics and the analysis of biological images, resulting in more than 150 research papers and 30 PhD dissertations. Several well-known concepts and algorithms arose in this research, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, and shape contexts. According to Google Scholar, six of his papers have received more than a thousand citations each, and he is one of ISI's Highly Cited Researchers in Engineering.
    Professor Malik received the gold medal for the best graduating student in Electrical Engineering in 1980 as well as the Distinguished Alumnus Award in 2008 from IIT Kanpur. He received his PhD degree from Stanford University in 1985, a Presidential Young Investigator Award in 1989, and at UC Berkeley he was selected for the Diane S. McEntyre Award for Excellence in Teaching in 2000 and a Miller Research Professorship in 2001. He is a Fellow of the ACM and IEEE, and a member of the National Academy of Engineering.