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Learning and using the arrow of time

Abstract:

We seek to understand the arrow of time in videos – what makes videos look like they are playing forwards or backwards? Can we visualize the cues? Can the arrow of time be a supervisory signal useful for activity analysis? To this end, we build three large-scale video datasets and apply a learning-based approach to these tasks.


To learn the arrow of time efficiently and reliably, we design a ConvNet suitable for extended temporal footprints and for class activation visualizati...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/CVPR.2018.00840

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
Conference on Computer Vision and Pattern Recognition (CVPR 2018) Journal website
Host title:
Conference on Computer Vision and Pattern Recognition (CVPR 2018)
Publication date:
2018-12-17
Acceptance date:
2018-02-28
DOI:
Source identifiers:
859555
Pubs id:
pubs:859555
UUID:
uuid:53e35755-a037-4c1e-9f16-8bacc1f9923d
Local pid:
pubs:859555
Deposit date:
2018-06-27

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