[AI Seminar] Online AI Seminar on May 05 (Zoom) -- Carl Vondrick -- Learning from Unlabeled Video. AI seminar is sponsored by Fortive.

[Aayush Bansal]

Carl Vondrick (Columbia University) will be giving an online seminar
on "Learning
from Unlabeled Video" from *12:00 - 01:00 PM* on May 05.

Zoom Link: *https://cmu.zoom.us/j/262225154
<https://cmu.zoom.us/j/262225154>*

CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title: *Learning from Unlabeled Video

*Abstract: *Unlabeled video is available at massive scales and divulges the
realistic complexity of everyday visual dynamics. In this talk, I will
discuss our research to capitalize on unlabeled video to train computer
vision systems without a human teacher. By creating learning algorithms
that use incidental and structural clues naturally available in video, our
research shows how to train computers to track objects, recognize human
action, and anticipate future outcomes. Visualizations and experiments show
that, although the models are not trained with ground-truth labels, rich
perceptual representations emerge, which can be transferred across visual
analysis tasks. We believe self-supervised learning is a promising approach
to train machines to perceive their surroundings.

*Bio*: Carl Vondrick is an Assistant Professor of Computer Science at
Columbia University. Previously, he was a Research Scientist at Google. He
obtained his PhD from MIT. For more details, see his homepage
<http://www.cs.columbia.edu/~vondrick/>.


To learn more about the seminar series, please visit the website:
http://www.cs.cmu.edu/~aiseminar/

-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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