Alexei Efros

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

Teaching

Courses taught during the three most recent terms
2026 Spring
  • Supervised Independent Study  [COMPSCI 199]  

  • Individual Research  [COMPSCI 299]  

  • Professional Preparation: Supervised Teaching of Computer Science  [COMPSCI 399]  

  • Computer Vision  [COMPSCI C280]  

  • Individual Research  [ELENG 299]  

2025 Fall
  • Intro to Computer Vision and Computational Photography  [COMPSCI 180]  

  • Supervised Independent Study  [COMPSCI 199]  

  • Supervised Independent Study  [COMPSCI 199]  

  • Intro to Computer Vision and Computational Photography  [COMPSCI 280A]  

  • Individual Research  [COMPSCI 299]  

  • Professional Preparation: Supervised Teaching of Computer Science  [COMPSCI 399]  

  • Individual Research  [ELENG 299]  

2025 Summer
  • Field Studies in Computer Science  [COMPSCI 297]  

2025 Spring
  • Supervised Independent Study  [COMPSCI 199]  

  • Individual Research  [COMPSCI 299]  

  • Professional Preparation: Supervised Teaching of Computer Science  [COMPSCI 399]  

  • Individual Research  [ELENG 299]