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