Our research studies Predictive Vision with the goal of anticipating the events that may happen in the immediate future. To tackle this challenge, we present predictive vision algorithms that learn directly from large amounts of raw, unlabeled data. Capitalizing on millions of natural videos, our work develops methods for machines to learn to anticipate the visual future, forecast human actions, and recognize ambient sounds.
Carl Vondrick is a research scientist at Google and he will be an assistant professor at Columbia University in fall 2018. He received his PhD from the Massachusetts Institute of Technology in 2017. His research was awarded the Google PhD Fellowship, the NSF Graduate Fellowship, and is featured in popular press, such as NPR, CNN, the Associated Press, and the Late Show with Stephen Colbert.