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...
Saved in:
Main Authors: | Chen, Yuedong, Wang, Jianfeng, Chen, Shikai, Shi, Zhongchao, Cai, Jianfei |
---|---|
Other Authors: | 2019 IEEE Visual Communications and Image Processing (VCIP) |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138945 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
by: NEO YUAN RONG DEXTER
Published: (2021) -
Modified HMAX models for facial expression recognition
by: Gu, W., et al.
Published: (2014) -
Using moment invariants and HMM in facial expression recognition
by: Zhu, Y., et al.
Published: (2014) -
Facial Expression Aftereffect Revealed by Adaption to Emotion-Invisible Dynamic Bubbled Faces
by: Luo, Chengwen, et al.
Published: (2016) -
Noisy facial recognition with convolutional neural network (CNN)
by: Heng, Yin Qi
Published: (2024)