Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors-Reference-Cited by-同舟云学术

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Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
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Author:

Saxen Frerk,Werner Philipp,Al-Hamadi Ayoub

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8234943/8265191/08265574.pdf?arnumber=8265574

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FAMM: Facial Muscle Motions for Detecting Compressed Deepfake Videos Over Social Networks;IEEE Transactions on Circuits and Systems for Video Technology;2023-12

2. Fake Emotion Detection Using Affective Cues and Speech Emotion Recognition for Improved Human Computer Interaction;2023 2nd International Conference on Smart Cities 4.0;2023-10-22

3. Face the Truth: Interpretable Emotion Genuineness Detection;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

4. Subject-dependent selection of geometrical features for spontaneous emotion recognition;Multimedia Tools and Applications;2022-07-01

5. Real and fake emotion detection using enhanced boosted support vector machine algorithm;Multimedia Tools and Applications;2022-06-16

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