Intro
Preface
Organization
Contents
Part II
Contents
Part I
MSCANet: Adaptive Multi-scale Context Aggregation Network for Congested Crowd Counting
1 Introduction
2 Related Work
3 Proposed Method
3.1 Multi-scale Context Aggregation Module
3.2 Multi-scale Context Aggregation Network
3.3 Compared to Other Context Modules
4 Experiments
4.1 Datasets
4.2 Implementation Details
4.3 Evaluation Metrics
4.4 Comparison with State-of-the-Arts
4.5 Ablation Study
5 Conclusion
References

Tropical Cyclones Tracking Based on Satellite Cloud Images: Database and Comprehensive Study
1 Introduction
2 The Proposed TCTSCI Database
2.1 Data Preprocessing
2.2 Annotation
2.3 Attributes
3 Evaluation
3.1 Evaluation Metric
3.2 Evaluated Trackers
3.3 Evaluation Results with OPE
3.4 Evaluation Results with EAO
3.5 Analysis
4 Conclusion
References
Image Registration Improved by Generative Adversarial Networks
1 Introduction
2 Proposed Method
2.1 Background
2.2 Proposed Network Structure
2.3 Loss Function
3 Experiments
3.1 Dataset

3.2 Implementation Details
3.3 Results
4 Conclusion
References
Deep 3D Modeling of Human Bodies from Freehand Sketching
1 Introduction
2 Related Work
3 Our Method
3.1 Intermediate Skeleton Construction
3.2 Joint-Wise Pose Regression
3.3 Loss
4 Experiments and Discussion
4.1 Dataset
4.2 Network Details and Training Settings
4.3 Results and Discussion
4.4 Body Modeling by Freehand Sketching
5 Conclusions
References
Two-Stage Real-Time Multi-object Tracking with Candidate Selection
1 Introduction
2 Related Work

2.1 Tracking-by-Detection Methods
2.2 Simultaneous Detection and Tracking Methods
3 Proposed Method
3.1 Backbone Network
3.2 Two Branches
3.3 Candidate Selection
3.4 Cascade Data Association
4 Experiments
4.1 Datasets and Metrics
4.2 Implementation Details
4.3 Experimental Results
5 Conclusion
References
Tell as You Imagine: Sentence Imageability-Aware Image Captioning
1 Introduction
2 Related Work
3 Image Captioning Considering Imageability
3.1 Data Augmentation
3.2 Sentence Imageability Calculation
3.3 Image Captioning
4 Evaluation

4.1 Environment
4.2 Analysis on the Sentence Imageability Scores
4.3 Evaluation of Image Captioning Results
4.4 Subjective Evaluation
5 Conclusion
References
Deep Face Swapping via Cross-Identity Adversarial Training
1 Introduction
2 Related Works
3 Our Approach
3.1 Network Architecture
3.2 Model Objective
4 Implementation
5 Experiments and Analysis
5.1 Qualitative Results
5.2 Quantitative Results
5.3 Ablation Study
5.4 Difficult Cases
6 Conclusion
References