Alyosha Efros
Associate Professor, UC Berkeley

Alexei (Alyosha) Efros joined UC Berkeley in 2013 as associate professor of electrical engineering and computer science. Prior to that, Alyosha spent nine years on the faculty of Carnegie Mellon University. He 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.

Alyosha received his PhD from UC Berkeley. He is a recipient of the CVPR Best Paper Award (2006), the NSF CAREER award (2006), the Sloan Fellowship (2008), the Guggenheim Fellowship (2008), the Okawa Grant (2008), the Finmeccanica Career Development Chair (2010), the SIGGRAPH Significant New Researcher Award (2010), the ECCV Best Paper Honorable Mention (2010), and the Helmholtz Test-of-Time Prize (2013).

Sessions

11:05am–11:45am Wednesday, September 20, 2017

Self-Supervised Visual Learning and Synthesis

Location: Imperial A

Alyosha Efros (UC Berkeley)

In this talk, I will present several case studies exploring the paradigm of self-supervised learning — using raw data as its own supervision.