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Autonomous learning for face recognition in the wild via ambient wireless cues

Abstract:

Facial recognition is a key enabling component for emerging Internet of Things (IoT) services such as smart homes or responsive offices. Through the use of deep neural networks, facial recognition has achieved excellent performance. However, this is only possibly when trained with hundreds of images of each user in different viewing and lighting conditions. Clearly, this level of effort in enrolment and labelling is impossible for wide-spread deployment and adoption. Inspired by the fact that...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3308558.3313398

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
Publisher:
Association for Computing Machinery
Host title:
WWW '19 The World Wide Web Conference
Journal:
WWW '19 The World Wide Web Conference More from this journal
Pages:
1175-1186
Publication date:
2019-05-13
Acceptance date:
2019-01-21
Event start date:
2019-05-13
Event end date:
2019-05-17
DOI:
ISBN:
9781450366748
Keywords:
Pubs id:
pubs:1017378
UUID:
uuid:6e6dfc4e-d3ee-4a27-b0ad-b74bf46b5ba2
Local pid:
pubs:1017378
Source identifiers:
1017378
Deposit date:
2019-08-23

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