Research Bio
Alexei (Alyosha) Efros joined UC Berkeley in 2013. Prior to that, he was for a decade 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 where large quantities of unlabeled visual data are readily available. Efros received his PhD in 2003 from UC Berkeley. He is a recipient of CVPR Best Paper Award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), SIGGRAPH Significant New Researcher Award (2010), three PAMI Helmholtz Test-of-Time Prizes (1999,2003,2005), the ACM Prize in Computing (2016), Diane McEntyre Award for Excellence in Teaching Computer Science (2019), Jim and Donna Gray Award for Excellence in Undergraduate Teaching of Computer Science (2023), and PAMI Thomas S. Huang Memorial Prize (2023).
Research Expertise and Interest
computer vision, computer graphics, computational photography, machine learning, artificial intelligence
In the News
New tool makes a single picture worth a thousand – and more – images
A photo is worth a thousand words, but what if the image could also represent a thousands of other images? New software developed by UC Berkeley computer scientists seeks to tame the sea of visual data in the world by generating a single photo that can represent massive clusters of images.