Facial Expression Recognition Based on Multi-modal Features for Videos in the Wild-Reference-Cited by-同舟云学术

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Facial Expression Recognition Based on Multi-modal Features for Videos in the Wild

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Liu Chuanhe¹,Zhang Xinjie²,Liu Xiaolong¹,Zhang Tenggan²,Meng Liyu¹,Liu Yuchen²,Deng Yuanyuan¹,Jiang Wenqiang¹

Affiliation:

1. Beijing Seek Truth Data Technology Co., Ltd

2. Renmin University of China,School of Information

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208471.pdf?arnumber=10208471

Reference44 articles.

1. Masked Autoencoders Are Scalable Vision Learners

2. Training deep networks for facial expression recognition with crowd-sourced label distribution

3. ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges

4. OpenFace 2.0: Facial Behavior Analysis Toolkit

5. Attention is all you need;vaswani;Advances in neural information processing systems,2017

Cited by 2 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. Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

2. Learning facial expression and body gesture visual information for video emotion recognition;Expert Systems with Applications;2024-03

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