Alexei Efros is professor of electrical engineering and computer science at UC Berkeley. His research is on data-driven computer vision and its applications to computer graphics and computational photography using vast amounts of unlabelled visual data to understand, model, and recreate the visual world. Other interests include human vision, visual data mining, robotics, and the applications of computer vision to the visual arts and the humanities. Visual data can also enhance the interaction capabilities of AI systems, potentially bridging the gap between visual perception and language understanding in robotics.
 

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Lessons from Computer Vision: We are (still!) not giving Data enough credit | June 12