Alexei Efros

Alexei Efros is a Professor of Electrical Engineering and Computer Science at UC Berkeley, affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR). Previously, he was a faculty member at the Robotics Institute, Carnegie Mellon University, and a postdoc at Oxford University with Andrew Zisserman. His work spans data-driven computer vision, self-supervised learning, and applications to computer graphics, computational photography, and human-AI interaction.

• Research Themes:
  • Self-supervised visual learning
  • 3D scene understanding
  • Vision-language multimodal systems
• Teaching:
  • CS 180/280A: Intro to Computer Vision
  • CS 280: Graduate Computer Vision
  • CS 294-192: Visual Scene Understanding
• Recent Publication Trends:
  • Focus on diffusion models and self-guidance
  • 3D perception and rendering
  • Interpretability of vision-language models
  • Temporal and sequential learning
• Scientific Collaborations:
  • Extensive partnerships with institutions like MIT, CMU, Stanford, and NVIDIA
  • Mentorship of PhD students now at TTIC, OpenAI, Anthropic, and academia
• Labs & Teams:
  • BAIR Lab (UC Berkeley)
  • Collaborations with Adobe Research, Google, and NVIDIA