Intro
Foreword
Preface
Organization
Contents - Part VI
W22
Competition on Affective Behavior Analysis In-the-Wild
W22
Competition on Affective Behavior Analysis In-the-Wild
Geometric Pose Affordance: Monocular 3D Human Pose Estimation with Scene Constraints
1 Introduction
2 Related Work
3 Geometric Pose Affordance Dataset (GPA)
4 Geometry-Aware Pose Estimation
4.1 Pose Estimation Baseline Model
4.2 Geometric Consistency Loss and Encoding
4.3 Overall Training
5 Experiments
5.1 Baselines
5.2 Effectiveness of Geometric Affordance

6 Discussion and Conclusion
References
Affective Behaviour Analysis Using Pretrained Model with Facial Prior
1 Introduction
2 Related Work
3 Proposed Method
3.1 Formulation
3.2 EMMA
3.3 Masked CoTEX
4 Experiment
4.1 Benchmarks and Evaluation Metrics
4.2 Training Details
4.3 Recognition Results
4.4 Ablation Study
5 Conclusions
References
Facial Affect Recognition Using Semi-supervised Learning with Adaptive Threshold
1 Introduction
2 Method
2.1 MFAR: Multi-task Facial Affect Recognition

2.2 SS-MFAR: Semi-supervised Multi-task Facial Affect Recognition
2.3 Problem Formulation
2.4 Adaptive Threshold
2.5 Supervision Loss
2.6 Unsupervised and Consistency Loss
2.7 Overall Loss
3 Dataset and Implementation Details
3.1 Dataset
3.2 Implementation Details
3.3 Evaluation Metrics
4 Results and Discussion
4.1 Performance on Validation Set
4.2 Ablation Studies
4.3 Performance on Test Set
5 Conclusions
References
MT-EmotiEffNet for Multi-task Human Affective Behavior Analysis and Learning from Synthetic Data
1 Introduction

2 Proposed Approach
2.1 Multi-task Learning Challenge
2.2 Learning from Synthetic Data Challenge
3 Experimental Study
3.1 FER for Static Images
3.2 Multi-task-Learning Challenge
3.3 Learning from Synthetic Data Challenge
4 Conclusions
References
Ensemble of Multi-task Learning Networks for Facial Expression Recognition In-the-Wild with Learning from Synthetic Data
1 Introduction
2 Method
2.1 Data Pre-processing
2.2 Model Architecture
3 Experiments and Results
3.1 Training Setup
3.2 Performance Evaluation
4 Conclusion
References

PERI: Part Aware Emotion Recognition in the Wild
1 Introduction
2 Related Work
3 Method
3.1 MediaPipe Holistic Model
3.2 The Emotic Model
3.3 Part Aware Spatial Image
3.4 Context Infusion Blocks
4 Experiments
4.1 Experiment Setup
4.2 Quantitative Results
4.3 Qualitative Results
4.4 Ablation Study
5 Conclusion
References
Facial Expression Recognition with Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing
1 Introduction
2 Related Work
3 Method
3.1 Overview
3.2 Mid-level Representation Enhancement