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Perceptual facial expression representation
KTH, School of Electrical Engineering and Computer Science (EECS), Robotics, Perception and Learning, RPL.
KTH, School of Electrical Engineering and Computer Science (EECS), Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-5750-9655
2018 (English)In: Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 179-186Conference paper, Published paper (Refereed)
Abstract [en]

Dissimilarity measures are often used as a proxy or a handle to reason about data. This can be problematic, as the data representation is often a consequence of the capturing process or how the data is visualized, rather than a reflection of the semantics that we want to extract. Facial expressions are a subtle and essential part of human communication but they are challenging to extract from current representations. In this paper we present a method that is capable of learning semantic representations of faces in a data driven manner. Our approach uses sparse human supervision which our method grounds in the data. We provide experimental justification of our approach showing that our representation improves the performance for emotion classification.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 179-186
Keywords [en]
Facial expressions, Representation learning, Variational auto encoder
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-238209DOI: 10.1109/FG.2018.00035ISI: 000454996700025Scopus ID: 2-s2.0-85049386490ISBN: 9781538623350 (print)OAI: oai:DiVA.org:kth-238209DiVA, id: diva2:1265172
Conference
13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018, Grand Dynasty Culture HotelXi'an, China, 15 May 2018 through 19 May 2018
Note

QC 20181122

Available from: 2018-11-22 Created: 2018-11-22 Last updated: 2019-09-18Bibliographically approved

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Kjellström, Hedvig

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf