Facial Expression Spotting Based on Optical Flow Features-Reference-Cited by-同舟云学术

Facial Expression Spotting Based on Optical Flow Features

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Yu Jun¹,Cai Zhongpeng²,Liu Zepeng²,Xie Guochen²,He Peng²

Affiliation:

1. University of Science and Technology of China, Heifei, China

2. University of Science and Technology of China, Hefei, China

Funder

USTC Research Funds of the Double First-Class Initiative

CAAI-Huawei MindSpore Open Fund

Anhui Province Key Research and Development Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3551608

Reference30 articles.

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2. Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

3. Adrian K Davison , Cliff Lansley , Nicholas Costen , Kevin Tan , and Moi Hoon Yap . 2016 . Samm: A spontaneous micro-facial movement dataset . IEEE transactions on affective computing 9, 1 (2016), 116--129. Adrian K Davison, Cliff Lansley, Nicholas Costen, Kevin Tan, and Moi Hoon Yap. 2016. Samm: A spontaneous micro-facial movement dataset. IEEE transactions on affective computing 9, 1 (2016), 116--129.

4. Carlos Arango Duque , Olivier Alata , Remi Emonet , Anne-Claire Legrand , and Hubert Konik . 2018 . Micro-Expression Spotting Using the Riesz Pyramid. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). 66--74 . Carlos Arango Duque, Olivier Alata, Remi Emonet, Anne-Claire Legrand, and Hubert Konik. 2018. Micro-Expression Spotting Using the Riesz Pyramid. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). 66--74.

5. Darwin, Deception, and Facial Expression

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