2026-09-19T00:02:23Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1120012026-06-16T18:53:35Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Antonio Torralba.
Vondrick, Carl (Carl Martin)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2017-10-30T15:03:50Z
2017-10-30T15:03:50Z
2017
2017
http://hdl.handle.net/1721.1/112001
1006381602
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 95-106).
Anticipating outcomes is the root of intelligence. This thesis investigates Predictive Vision with the goal to develop robust methods that anticipate the next events that may happen in images or videos. Importantly, we develop methods for eciently scaling learning algorithms to learn an extensive set of rules that enable richer visual understanding. While large annotated datasets fuel progress in object recognition, the knowledge required for event understanding is vast and potentially ambiguous. To tackle this challenge, we develop predictive vision algorithms that instead learn these rules directly from large amounts of raw, unlabeled data. Capitalizing on millions of natural videos, this work develops algorithms that learn to anticipate the visual future, forecast human actions, and recognize ambient sounds.
by Carl Vondrick.
Ph.D.
106 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Predictive vision
Thesis
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