Brief Biography

Manmohan Chandraker received a B.Tech. in Electrical Engineering at the Indian Institute of Technology, Bombay and a PhD in Computer Science at the University of California, San Diego. Following a postdoctoral scholarship at the University of California, Berkeley, he joined NEC Labs America in Cupertino, where he conducts research in computer vision. His principal research interests are sparse and dense 3D reconstruction, including structure-from-motion, 3D scene understanding and dense modeling under complex illumination or material behavior, with applications to autonomous driving, robotics or human-computer interfaces. His work on provably optimal algorithms for structure and motion estimation received the Marr Prize Honorable Mention for Best Paper at ICCV 2007, the 2009 CSE Dissertation Award for Best Thesis at UC San Diego and was a nominee for the 2010 ACM Dissertation Award. His work on shape recovery from motion cues for complex material and illumination received the Best Paper Award at CVPR 2014.

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