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Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Alyosha Efros

Alyosha Efros
Associate Professor, UC Berkeley

Website | @UCBerkeley

Alexei (Alyosha) Efros is an associate professor of electrical engineering and computer science at UC Berkeley. Previously, Alyosha spent nine years on the faculty of Carnegie Mellon University and has also been affiliated with École Normale Supérieure/Inria and the University of Oxford. Alyosha’s research is in the areas of computer vision and computer graphics, especially at their intersection. He is particularly interested in using data-driven techniques to tackle problems that are very hard to model parametrically but where large quantities of data are readily available. His awards include a CVPR Best Paper Award (2006), a NSF CAREER award (2006), a Sloan fellowship (2008), a Guggenheim fellowship (2008), an Okawa grant (2008), the Finmeccanica Career Development Chair (2010), the SIGGRAPH Significant New Researcher Award (2010), an ECCV Best Paper honorable mention (2010), and the Helmholtz Test-of-Time Prize (2013). Alyosha holds a PhD from UC Berkeley.

Sessions

10:10am–10:25am Wednesday, 03/30/2016
Location: Grand Ballroom 220
Alyosha Efros (UC Berkeley)
Average rating: ****.
(4.82, 120 ratings)
Alyosha Efros discusses using computer vision to understand big visual data. Read more.