Facial motion prior networks for facial expression recognition
Deep learning based facial expression recognition (FER) has received a lot of attention in the past few years. Most of the existing deep learning based FER methods do not consider domain knowledge well, which thereby fail to extract representative features. In this work, we propose a novel FER frame...
Main Authors: | Chen, Yuedong, Wang, Jianfeng, Chen, Shikai, Shi, Zhongchao, Cai, Jianfei |
---|---|
Other Authors: | 2019 IEEE Visual Communications and Image Processing (VCIP) |
Format: | Conference Paper |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138945 |
Similar Items
-
Facial Expression Aftereffect Revealed by Adaption to Emotion-Invisible Dynamic Bubbled Faces
by: Luo, Chengwen, et al.
Published: (2016) -
A joint learning method with consistency-aware for low-resolution facial expression recognition
by: Xie, Yuanlun, et al.
Published: (2024) -
Noisy facial recognition with convolutional neural network (CNN)
by: Heng, Yin Qi
Published: (2024) -
3D-based multi-ethnic facial expression database and recognition system
by: Rabiu, Habibu
Published: (2013) -
Facial macro expression analysis
by: Lim, Jie Xian
Published: (2024)