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.
Talk
Lessons from Computer Vision: We are (still!) not giving Data enough credit | June 12
Sessions auxquelles Alexei Efros participe
Mercredi 12 Juin, 2024
For most of Computer Vision’s existence, the focus has been solidly on algorithms and models, with data treated largely as an afterthought. Only recently did our discipline finally begin to appreciate the singularly crucial role played by data. In this talk, I will begin with some historical examples illustrating the importance of large visual data in both computer vision as well as human visual perception. I will then share some of our recent work demonstrating the power of very simple algor...