Keith Noah Snavley

Keith Noah Snavely

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

Noah Snavely is on the faculty of the Department of Computer Science at Cornell University, where he has been an assistant professor since 2009. 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 v ision, with a particular interest in using vast amounts of imagery from the Internet to reconstruct, visualize, and understand our world in 3D. His thesis work was the basis for Microsoft's Photosynth, a tool for building 3D visualizations from photo collections that has been used by many thousands of people. Noah is a recipient of a Microsoft New Faculty Fellowship, an Alfred P. Sloan Fellowship, and a PECASE, and was recognized in 2011 as one of the Technology Review top Innovators under 35 (TR35).

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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