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Manmohan Chandraker is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego. His research primarily focuses on computer vision, specifically in areas such as 3D reconstruction, scene understanding, and autonomous driving. He develops theoretical frameworks and practical systems for recovering three-dimensional scene information from 2D images, establishing interdisciplinary connections among computer graphics, visual perception, and machine learning. His work encompasses characterizing shape recovery under complex reflectance and illumination to create powerful generalizations of 3D reconstruction methods, including the use of optical flow and multiview stereo techniques. Chandraker is known for his contributions to simultaneous localization and mapping, dense reconstruction incorporating semantic inputs, and global optimization frameworks for non-convex problems in multiview geometry. His research has been published in premier venues and has received recognition through various awards, including the Marr Prize honorable mention and the UCSD CSE Dissertation Award. He holds a B.Tech. in Electrical Engineering from the Indian Institute of Technology, Bombay, and a Ph.D. in Computer Science from the University of California, San Diego.
NEC Labs America • Cupertino
Worked on developing advanced solutions for computer vision applications.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).