RE-Net: A Relation Embedded Deep Model for AU Occurrence and…

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14
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2021
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  • DOI 10.1007/978-3-030-69541-5_9
  • OpenAlex ID W3107794057
  • Type Conference-paper
  • Language EN
  • Published 01 Jan 2021
  • Pages 137–153
  • Source Lecture notes in computer science
  • Publisher Springer Science+Business Media
  • FWCI 0.74
  • Countries 1
  • Institutions 1
  • Added 07 Dec 2020
  • Updated 16 Oct 2026
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RE-Net: A Relation Embedded Deep Model for AU Occurrence and Intensity Estimation

Conference-paper 2021 EN

14

Citations

43

References

2

Authors

0.74

FWCI

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2 authors
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1 Huiyuan Yang Corresponding Binghamton University (US)
2 Lijun Yin Binghamton University (US)
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