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Details
Table of Contents
Intro
Foreword
Preface
Organization
Contents
Part IX
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
1 Introduction
2 Related Work
3 Method
3.1 Mixed Precision Quantization Search
3.2 BP-NAS for Mixed Precision Quantization Search
4 Experiments
4.1 Cifar-10
4.2 ImageNet
4.3 COCO Detection
5 Ablation Study
5.1 Efficient Search
5.2 Differentiated Importance Factors
6 Conclusion
References
Monocular 3D Object Detection via Feature Domain Adaptation
1 Introduction
2 Related Works
2.1 LiDAR-Based 3D Object Detection
2.2 Monocular 3D Object Detection
2.3 Domain Adaptation
3 Methodology
3.1 Overview
3.2 Siamese Framework for Adapting Pseudo-LiDAR to LiDAR
3.3 Context-Aware Foreground Segmentation
3.4 Training Loss
4 Experiment
4.1 Implementation
4.2 Comparison with State-of-the-art Methods
4.3 Ablation Study
4.4 Generalization Ability
5 Conclusions
References
Talking-Head Generation with Rhythmic Head Motion
1 Introduction
2 Related Work
2.1 Talking-Head Image Generation
2.2 Related Techniques
3 Method
3.1 Problem Formulation
3.2 The Facial Expression Learner
3.3 The Head Motion Learner
3.4 The 3D-Aware Generative Network
4 3D-Aware Generation
4.1 3D-Aware Module
4.2 Hybrid Embedding Module
4.3 Non-linear Composition Module
4.4 Objective Function
5 Experiments Setup
6 Results and Analysis
7 Conclusion and Discussion
References
AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation
1 Introduction
2 Related Work
3 Methodology
3.1 Global 3D Encoding with Arbitrary Number of Appearance Describing Images
3.2 Unsupervised Viewer-Centered Relative-Pose Encoding
3.3 Overall Framework and Optimization Objective
4 Experiments
4.1 Datasets
4.2 Qualitative Results
4.3 Quantitative Results
4.4 Ablation Study of Each Module
4.5 Sensitive Analysis
4.6 Investigating the Global 3D Feature
4.7 The Effect of Source Image Ordering
5 Conclusions
References
VPN: Learning Video-Pose Embedding for Activities of Daily Living
1 Introduction
2 Related Work
3 Proposed Action Recognition Model
3.1 Video Representation
3.2 VPN
3.3 Training Jointly the 3D ConvNet and VPN
4 Experiments
4.1 Implementation Details
4.2 Ablation Study
4.3 Qualitative Analysis
4.4 Comparison with the State-of-the-art
5 Conclusion
References
Soft Anchor-Point Object Detection
1 Introduction
2 Related Work
3 Soft Anchor-Point Detector
3.1 Detection Formulation with Anchor Points
3.2 Soft-Weighted Anchor Points
3.3 Soft-Selected Pyramid Levels
3.4 Implementation Details
4 Experiments
4.1 Ablation Studies
4.2 Comparison to State of the Art
5 Conclusion
Foreword
Preface
Organization
Contents
Part IX
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
1 Introduction
2 Related Work
3 Method
3.1 Mixed Precision Quantization Search
3.2 BP-NAS for Mixed Precision Quantization Search
4 Experiments
4.1 Cifar-10
4.2 ImageNet
4.3 COCO Detection
5 Ablation Study
5.1 Efficient Search
5.2 Differentiated Importance Factors
6 Conclusion
References
Monocular 3D Object Detection via Feature Domain Adaptation
1 Introduction
2 Related Works
2.1 LiDAR-Based 3D Object Detection
2.2 Monocular 3D Object Detection
2.3 Domain Adaptation
3 Methodology
3.1 Overview
3.2 Siamese Framework for Adapting Pseudo-LiDAR to LiDAR
3.3 Context-Aware Foreground Segmentation
3.4 Training Loss
4 Experiment
4.1 Implementation
4.2 Comparison with State-of-the-art Methods
4.3 Ablation Study
4.4 Generalization Ability
5 Conclusions
References
Talking-Head Generation with Rhythmic Head Motion
1 Introduction
2 Related Work
2.1 Talking-Head Image Generation
2.2 Related Techniques
3 Method
3.1 Problem Formulation
3.2 The Facial Expression Learner
3.3 The Head Motion Learner
3.4 The 3D-Aware Generative Network
4 3D-Aware Generation
4.1 3D-Aware Module
4.2 Hybrid Embedding Module
4.3 Non-linear Composition Module
4.4 Objective Function
5 Experiments Setup
6 Results and Analysis
7 Conclusion and Discussion
References
AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation
1 Introduction
2 Related Work
3 Methodology
3.1 Global 3D Encoding with Arbitrary Number of Appearance Describing Images
3.2 Unsupervised Viewer-Centered Relative-Pose Encoding
3.3 Overall Framework and Optimization Objective
4 Experiments
4.1 Datasets
4.2 Qualitative Results
4.3 Quantitative Results
4.4 Ablation Study of Each Module
4.5 Sensitive Analysis
4.6 Investigating the Global 3D Feature
4.7 The Effect of Source Image Ordering
5 Conclusions
References
VPN: Learning Video-Pose Embedding for Activities of Daily Living
1 Introduction
2 Related Work
3 Proposed Action Recognition Model
3.1 Video Representation
3.2 VPN
3.3 Training Jointly the 3D ConvNet and VPN
4 Experiments
4.1 Implementation Details
4.2 Ablation Study
4.3 Qualitative Analysis
4.4 Comparison with the State-of-the-art
5 Conclusion
References
Soft Anchor-Point Object Detection
1 Introduction
2 Related Work
3 Soft Anchor-Point Detector
3.1 Detection Formulation with Anchor Points
3.2 Soft-Weighted Anchor Points
3.3 Soft-Selected Pyramid Levels
3.4 Implementation Details
4 Experiments
4.1 Ablation Studies
4.2 Comparison to State of the Art
5 Conclusion