Freq-HD: An Interpretable Frequency-based High-Dynamics Affective Clip Selection Method for in-the-Wild Facial Expression Recognition in Videos

Author:

Tao Zeng1ORCID,Wang Yan1ORCID,Chen Zhaoyu1ORCID,Wang Boyang1ORCID,Yan Shaoqi1ORCID,Jiang Kaixun1ORCID,Gao Shuyong1ORCID,Zhang Wenqiang1ORCID

Affiliation:

1. Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Scientific and Technological innovation action plan of Shanghai Science and Technology Committee

National Key R&D Program of China

Publisher

ACM

Reference51 articles.

1. Deep Learning for Spatio-Temporal Modeling of Dynamic Spontaneous Emotions

2. Efficient Video Classification Using Fewer Frames

3. Jeff Donahue , Yangqing Jia , Oriol Vinyals , Judy Hoffman , Ning Zhang , Eric Tzeng , and Trevor Darrell . 2014 . Decaf: A deep convolutional activation feature for generic visual recognition . In International conference on machine learning. PMLR, 647--655 . Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. 2014. Decaf: A deep convolutional activation feature for generic visual recognition. In International conference on machine learning. PMLR, 647--655.

4. Recurrent Neural Networks for Emotion Recognition in Video

5. Video-based emotion recognition using CNN-RNN and C3D hybrid networks

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