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Fall 2017 GRASP Seminar Series: Carl Vondrick, Google, “Predictive Vision”

December 1, 2017 @ 11:00 am - 12:00 pm

ABSTRACT

Machine learning is revolutionizing our world: computers can recognize images, translate language, and even play games competitively with humans. However, there is a missing piece that is necessary for computers to take actions in the real world. My research studies Predictive Vision with the goal of anticipating the future events that may happen. To tackle this challenge, I present predictive vision algorithms that learn directly from large amounts of raw, unlabeled data. Capitalizing on millions of natural videos, my work develops methods for machines to learn to anticipate the visual future, forecast human actions, and recognize ambient sounds.

Presenter

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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.

Details

Date:
December 1, 2017
Time:
11:00 am - 12:00 pm
Event Category: