Deep structured learning for facial action unit intensity estimation

Download full text files

  • 71911.pdfeng
    (458KB)

    Postprint. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:R. Walecki, O. Rudovic, V. Pavlovic, Björn SchullerORCiDGND, M. Pantic
URN:urn:nbn:de:bvb:384-opus4-719116
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71911
ISBN:978-1-5386-0457-1OPAC
Parent Title (English):IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, Honolulu, Hawaii
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Part of a Book
Language:English
Year of first Publication:2017
Publishing Institution:Universität Augsburg
Release Date:2020/03/10
First Page:3405
Last Page:3414
DOI:https://doi.org/10.1109/CVPR.2017.605
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

OPUS4 Logo