Anticipating outcomes is the root of intelligence. In computer vision, we investigate Predictive Vision with the goal to develop robust methods that anticipate the next events that may happen. Importantly, we focus on efficiently scaling learning algorithms to learn an extensive set of rules that enable intelligent vision. To solve this challenge, we develop predictive vision algorithms that learn these rules directly from large amounts of raw, unlabeled data. Capitalizing on millions of natural videos, we are teaching machines about the world by anticipating the visual future.
If you would like to contact us about our work, please scroll down to the people section and click on one of the group leads' people pages, where you can reach out to them directly.