Multi View Facial Action Unit Detection Based on CNN and BLSTM-RNN-Reference-Cited by-同舟云学术

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Multi View Facial Action Unit Detection Based on CNN and BLSTM-RNN

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
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Author:

He Jun,Li Dongliang,Yang Bin,Cao Siming,Sun Bo,Yu Lejun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7959734/7961704/07961831.pdf?arnumber=7961831

Cited by 36 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. Facial Action Unit detection based on multi-task learning strategy for unlabeled facial images in the wild;Expert Systems with Applications;2024-11

2. Cascading CNNs for facial action unit detection;Engineering Science and Technology, an International Journal;2023-11

3. Demonstrating AHA: Boosting Unmodified AI's Robustness by Proactively Inducing Favorable Human Sensing Conditions;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

4. Recognizing, Fast and Slow: Complex Emotion Recognition With Facial Expression Detection and Remote Physiological Measurement;IEEE Transactions on Affective Computing;2023-10-01

5. Biomechanics-Guided Facial Action Unit Detection Through Force Modeling;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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