Deep Motion Flow Aided Face Video De-identification

Wen, Y Liu, B

Xie, R Cao, J Song, L

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2021 International Conference on Visual Communications and Image Processing (VCIP), 2021, 00, pp. 1-5
Issue Date:: 2021-12-08

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	2021-VCIP-Deep Motion Flow Aided Face Video.pdf	Accepted version	1.54 MB	Adobe PDF	View/Open

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Full metadata record

Field	Value	Language
dc.contributor.author	Wen, Y
dc.contributor.author	Liu, B https://orcid.org/0000-0002-3603-6617
dc.contributor.author	Xie, R
dc.contributor.author	Cao, J
dc.contributor.author	Song, L
dc.date	2021-12-05
dc.date.accessioned	2022-01-23T22:12:02Z
dc.date.available	2022-01-23T22:12:02Z
dc.date.issued	2021-12-08
dc.identifier.citation	2021 International Conference on Visual Communications and Image Processing (VCIP), 2021, 00, pp. 1-5
dc.identifier.uri	http://hdl.handle.net/10453/153457
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2021 International Conference on Visual Communications and Image Processing (VCIP)
dc.relation.ispartof	2021 International Conference on Visual Communications and Image Processing (VCIP)
dc.relation.isbasedon	10.1109/vcip53242.2021.9675353
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Deep Motion Flow Aided Face Video De-identification
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-23T22:12:00Z
pubs.finish-date	2021-12-08
pubs.publication-status	Published
pubs.start-date	2021-12-05
pubs.volume	00

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