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Jitendra Malik - Computer Scientist
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Jitendra Malik

description Jitendra Malik Overview

Jitendra Malik is an Indian-American computer scientist and professor at the University of California, Berkeley. He is a pioneer in computer vision, best known for his foundational research in image segmentation, contour detection, and object recognition. His co-authored Normalized Cuts algorithm became a standard for perceptual grouping and clustering in image processing. Throughout his career, Malik has also explored the intersections of computer vision with natural language processing and computer graphics.

insights Ranking position

Jitendra Malik ranks #57 of 185 in the Computer Scientist ranking, behind Douglas McIlroy, ahead of Oded Regev.

help Jitendra Malik FAQ

What is the Normalized Cuts image segmentation algorithm?

Normalized Cuts (Ncut), proposed by Jitendra Malik and Jianbo Shi in their seminal 2000 paper, frames image segmentation as a graph partitioning problem that minimizes the normalized cut criterion using eigenvalues of a similarity matrix. It became one of the most influential graph-based methods in computer vision for partitioning images into coherent regions.

Where does Jitendra Malik work?

Jitendra Malik is a professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, where he has been on the faculty since 1986. He served as chair of the CS division and has mentored numerous prominent computer vision researchers.

What is Jitendra Malik's contribution to contour detection?

Malik and his students developed the PB (Probability of Boundary) edge detector and later the global Probability of Boundary (gPb) method, which combined local and global cues for boundary detection. The Berkeley Segmentation Dataset and Benchmark, created by his group, became a standard evaluation tool for image segmentation.

What major awards has Jitendra Malik won?

Malik received the IEEE Computer Society's Computer Pioneer Award and the PAMI Distinguished Researcher Award. He has also been elected to the National Academy of Engineering and the National Academy of Sciences for his contributions to computer vision.

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