Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images

Zhongguo Li; Magnus Oskarsson; Anders Heyden

doi:10.1109/ICPR48806.2021.9412556

Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images

Zhongguo Li, Magnus Oskarsson, Anders Heyden

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Originalspråk	engelska
Titel på värdpublikation	25th International Conference on Pattern Recognition (ICPR)
Förlag	IEEE Computer Society
Sidor	8968 - 8975
Antal sidor	8
DOI	https://doi.org/10.1109/ICPR48806.2021.9412556
Status	Published - 2021
Evenemang	2020 25th International Conference on Pattern Recognition - Virtual, Milan, Italien Varaktighet: 2021 jan. 10 → 2021 jan. 15 Konferensnummer: 25 https://www.micc.unifi.it/icpr2020/

Publikationsserier

Namn	International Conference on Pattern Recognition
Förlag	IEEE
ISSN (tryckt)	1051-4651

Konferens

Konferens	2020 25th International Conference on Pattern Recognition
Förkortad titel	ICPR 2020
Land/Territorium	Italien
Ort	Milan
Period	2021/01/10 → 2021/01/15
Internetadress	https://www.micc.unifi.it/icpr2020/

Ämnesklassifikation (UKÄ)

Datorseende och robotik (autonoma system)

Tillgång till dokument

10.1109/ICPR48806.2021.9412556

1 Doktorsavhandling (sammanläggning)

3D Human Pose and Shape Estimation Based on Parametric Model and Deep Learning
Li, Z., 2021, Lund, Sweden: Lund University / Centre for Mathematical Sciences /LTH. 179 s.
Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

Öppen tillgång
Fil

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@inproceedings{cbe4dd682d4f463ba90e248dee668185,

title = "Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images",

author = "Zhongguo Li and Magnus Oskarsson and Anders Heyden",

year = "2021",

doi = "10.1109/ICPR48806.2021.9412556",

language = "English",

series = "International Conference on Pattern Recognition",

publisher = "IEEE Computer Society",

pages = "8968 -- 8975",

booktitle = "25th International Conference on Pattern Recognition (ICPR)",

address = "United States",

note = "2020 25th International Conference on Pattern Recognition, ICPR 2020 ; Conference date: 10-01-2021 Through 15-01-2021",

url = "https://www.micc.unifi.it/icpr2020/",

}

Li, Z, Oskarsson, M & Heyden, A 2021, Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images. i 25th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition, IEEE Computer Society, s. 8968 - 8975, 2020 25th International Conference on Pattern Recognition, Milan, Italien, 2021/01/10. https://doi.org/10.1109/ICPR48806.2021.9412556

Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images. / Li, Zhongguo; Oskarsson, Magnus ; Heyden, Anders.

25th International Conference on Pattern Recognition (ICPR). IEEE Computer Society, 2021. s. 8968 - 8975 (International Conference on Pattern Recognition).

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images

AU - Li, Zhongguo

AU - Oskarsson, Magnus

AU - Heyden, Anders

N1 - Conference code: 25

PY - 2021

Y1 - 2021

U2 - 10.1109/ICPR48806.2021.9412556

DO - 10.1109/ICPR48806.2021.9412556

M3 - Paper in conference proceeding

T3 - International Conference on Pattern Recognition

SP - 8968

EP - 8975

BT - 25th International Conference on Pattern Recognition (ICPR)

PB - IEEE Computer Society

T2 - 2020 25th International Conference on Pattern Recognition

Y2 - 10 January 2021 through 15 January 2021

ER -

Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images

Publikationsserier

Konferens

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Forskningsoutput

3D Human Pose and Shape Estimation Based on Parametric Model and Deep Learning

Citera det här