Conference item icon

Conference item

Temporal query networks for fine-grained video understanding

Abstract:

Our objective in this work is fine-grained classification of actions in untrimmed videos, where the actions may be temporally extended or may span only a few frames of the video. We cast this into a query-response mechanism, where each query addresses a particular question, and has its own response label set.We make the following four contributions: (i) We propose a new model—a Temporal Query Network—which enables the query-response functionality, and a structural understanding of fine-graine...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1109/CVPR46437.2021.00446

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573
Publisher:
IEEE Publisher's website
Pages:
4484-4494
Host title:
Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR 2021)
Publication date:
2021-11-13
Acceptance date:
2021-02-28
Event title:
Conference on Computer Vision and Pattern Recognition (CVPR 2021)
Event location:
Online
Event website:
http://cvpr2021.thecvf.com/
Event start date:
2021-06-19T00:00:00Z
Event end date:
2021-06-25T00:00:00Z
DOI:
EISBN:
978-1-6654-4509-2
EISSN:
2575-7075
ISSN:
1063-6919
ISBN:
978-1-6654-4510-8
Language:
English
Keywords:
Pubs id:
1173981
Local pid:
pubs:1173981
Deposit date:
2021-04-30

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP