Efros, Alexei A. (1975-....)
Alexei A. Efros is a professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. His research is in the areas 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 BS from University of Utah in 1997, and PhD from UC Berkeley in 2003. Prior to joining Berkeley, he was a faculty at Carnegie Mellon University for nine years, and has also been affiliated with École Normale Supérieure/INRIA and University of Oxford. He is a recipient of CVPR Best Paper Award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), SIGGRAPH Significant New Researcher Award (2010), 3 Helmholtz Test-of-Time Prizes (1999,2003,2005), and the ACM Prize in Computing (2016).
Vidéos
Self-Supervised Visual Learning and Synthesis
Computer vision has made impressive gains through the use of deep learning models, trained with large-scale labeled data. However, labels require expertise and curation and are expensive to collect.