Keith Noah Snavley

Keith Noah Snavely

Professor
Computer Science
Bloomberg 365, Cornell Tech, 2 West Loop, New York, NY 10044
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Biography

Noah Snavely is a professor of Computer Science at Cornell University, based at Cornell Tech, and a Fellow of the ACM. He received a B.S. in Computer Science and Mathematics from the University of Arizona in 2003, and a Ph.D. in Computer Science and Engineering from the University of Washington in 2008. Noah works in computer graphics and computer vision, with a particular interest in using vast amounts of imagery from the Internet to reconstruct, visualize, and understand our world in 3D. Noah is a recipient of a Microsoft New Faculty Fellowship, an Alfred P. Sloan Fellowship, a PECASE, a TR35 Award, and an ACM SIGGRAPH Significant New Researcher Award.

Research Interests

Selected Publications

  • Sadovnik, Amir, Yi-I Chiu, Noah Snavely, Shimon Edelman, Tsuhan Chen.  2012.  "Image Description with a Goal: Building Efficient Discriminating Expressions for Images."  Paper presented at IEEE Computer Vision and Pattern Recognition (CVPR)
  • Cabrini Hauagge, Daniel, Noah Snavely.  2012.  "Image Matching using Local Symmetry Features."  Paper presented at IEEE Computer Vision and Pattern Recognition (CVPR)
  • Cao, Song , Noah Snavely.  2013.  "Graph-Based Discriminative Learning for Location Recognition."  Proceedings of Computer Vision and Pattern Recognition (CVPR)
  • Hauagge, Daniel Cabrini, Scott Wehrwein, Kavita Bala, Noah Snavely.  2013.  "Photometric Ambient Occlusion."  Proceedings of Computer Vision and Pattern Recognition (CVPR)
  • Wilson, Kyle, Noah Snavely.  2013.  "Network Principles for SfM: Disambiguating Repeated Structures with Local Context."  Paper presented at International Conference on Computer Vision (ICCV)

Selected Awards and Honors

  • Alfred P. Sloan Fellow (Alfred P. Sloan Foundation) 2012
  • NSF CAREER Award (National Science Foundation) 2012
  • 2011 "TR35" - one of the top technology innovators under age 35 (Technology Review Magazine) 2011
  • Microsoft Research Faculty Fellow for 2011 (Microsoft) 2011
  • Presidential Early Career Award for Scientists and Engineers 2013

Education

UNIV OF WASHINGTON 2008

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