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Facial Action Unit Intensity Estimation via Semantic Correspondence
  Learning with Dynamic Graph Convolution

Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution

20 April 2020
Yingruo Fan
Jacqueline C. K. Lam
Victor O.K. Li
ArXivPDFHTML

Papers citing "Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution"

5 / 5 papers shown
Title
MoEL: Mixture of Empathetic Listeners
MoEL: Mixture of Empathetic Listeners
Zhaojiang Lin
Andrea Madotto
Jamin Shin
Peng Xu
Pascale Fung
70
181
0
21 Aug 2019
Semantic Relationships Guided Representation Learning for Facial Action
  Unit Recognition
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
Guanbin Li
Xin Zhu
Yirui Zeng
Qing Wang
Liang Lin
CVBM
33
155
0
22 Apr 2019
Simple Baselines for Human Pose Estimation and Tracking
Simple Baselines for Human Pose Estimation and Tracking
Bin Xiao
Haiping Wu
Yichen Wei
3DH
VOT
107
1,778
0
17 Apr 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Xinyu Wang
Yufei Ye
Abhinav Gupta
137
586
0
21 Mar 2018
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
324
18,300
0
27 May 2016
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