End-To-End 3D Facial Shape Reconstruction from an Unconstrained Image

doi:10.1145/3494885.3494945

DRO

End-To-End 3D Facial Shape Reconstruction from an Unconstrained Image

Han, Y, Qiao, X, Wu, YAN and Zhang, Zili 2021, End-To-End 3D Facial Shape Reconstruction from an Unconstrained Image, in CSSE 2021 : Proceedings of the 4th International Conference on Computer Science and Software Engineering, Association for Computing Machinery, New York, N.Y., pp. 325-332, doi: 10.1145/3494885.3494945.

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Name			Description	MIMEType		Size	Downloads

Title	End-To-End 3D Facial Shape Reconstruction from an Unconstrained Image
Author(s)	Han, Y Qiao, X Wu, YAN Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name	Computer science and software engineering. Conference (4th : 2021 : Singapore)
Conference location	Singapore
Conference dates	2021/10/22 - 2021/10/24
Title of proceedings	CSSE 2021 : Proceedings of the 4th International Conference on Computer Science and Software Engineering
Publication date	2021
Start page	325
End page	332
Total pages	8
Publisher	Association for Computing Machinery
Place of publication	New York, N.Y.
Keyword(s)	no CORE2020
ISBN	9781450390675
Language	eng
DOI	10.1145/3494885.3494945
HERDC Research category	E1.1 Full written paper - refereed
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30161215

Document type:	Conference Paper
Collections:	Faculty of Science, Engineering and Built Environment School of Information Technology


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Created:	Wed, 12 Jan 2022, 13:36:02 EST

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