Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Visual Understanding Beyond Naming

Alyosha Efros (UC Berkeley)
11:30am–12:00pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC.
Average rating: ****.
(4.88, 8 ratings)

Most modern visual understanding approaches rely on supervision by word labels to achieve their impressive performance. But there are many more things in our visual world than we have words to describe them with. Using language is supervisory signal risks missing out on much of the visual subtlety. In this talk, I will describe some of our efforts to bypass the “language bottleneck” and other information to help in visual understanding and visual data mining.

Photo of Alyosha Efros

Alyosha Efros

UC Berkeley

Alexei (Alyosha) Efros joined UC Berkeley in 2013 as associate professor of Electrical Engineering and Computer Science. Prior to that, he was nine years on the faculty of Carnegie Mellon University,
and has also been affiliated with École Normale Supérieure/INRIA and University of Oxford. His research is in the area of computer vision and computer graphics, especially at the intersection of the two. He is particularly interested in using data-driven techniques to tackle problems which are very hard to model parametrically but where large quantities of data are readily available. Alyosha received his PhD in 2003 from UC Berkeley. He is a recipient of CVPR Best Paper Award (2006), NSF CAREER award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), Finmeccanica Career Development Chair (2010), SIGGRAPH Significant New Researcher Award (2010), ECCV Best Paper Honorable Mention (2010), and the Helmholtz Test-of-Time Prize (2013).