Linked e-resources
Details
Table of Contents
Intro
Foreword
Preface
Organization
Contents
Part VII
Multiview Detection with Feature Perspective Transformation
1 Introduction
2 Related Work
3 Methodology
3.1 Multiview Aggregation
3.2 Spatial Aggregation
3.3 Training and Testing
4 Experiment
4.1 Experiment Setup
4.2 Implementation Details
4.3 Method Comparisons
4.4 Evaluation of MVDet
5 Conclusion
References
Learning Object Relation Graph and Tentative Policy for Visual Navigation
1 Introduction
2 Related Work
3 Proposed Method
3.1 Task Definition
3.2 Object Representation Graph
3.3 Navigation Driven by Visual Features
3.4 Trial-Driven Imitation Learning
3.5 Memory-Augmented Tentative Policy Network
3.6 Training Details
4 Experiments
4.1 Dataset and Evaluation
4.2 Task Setup and Comparison Methods
4.3 Results
4.4 Ablation Study
5 Conclusions
References
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition
1 Introduction
2 Related Work
2.1 3D Action Recognition
2.2 Semi-supervised Learning
2.3 Self-supervised Learning for Action Recognition
3 Method
3.1 Problem Formulation
3.2 Neighborhood Consistency for Semi-supervised 3D Action Recognition
3.3 Adversarial Learning for Aligning Self-supervised and Semi-supervised Representations
3.4 Model Architecture and Optimization
4 Experiments
4.1 Experimental Setup
4.2 Comparison with Semi-supervised Methods
4.3 Ablation Study
5 Conclusions
References
Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning
1 Introduction
2 Patch Recurrence Across Dimensions
3 Generating an Internal Training Set
4 `Zero-Shot' Temporal-SR
The Algorithm
5 Experiments and Results
References
Inducing Optimal Attribute Representations for Conditional GANs
1 Introduction
2 Related Works
3 Proposed Method
3.1 Overview on the Pipeline
3.2 Graph Convolution and Generator
3.3 Online Multitask Learning for Discriminator
4 Experiments
5 Conclusions
References
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
1 Introduction
2 Related Works
3 Proposed Method
3.1 Approach Overview
3.2 Learning the Adaptive Resolution Policy
3.3 Loss Functions
4 Experiments
4.1 Experimental Setup
4.2 Main Results
4.3 Ablation Studies
4.4 Qualitative Analysis
5 Conclusion
References
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation
1 Introduction
2 Related Work
3 Method
3.1 Semantic Frustum Voxel Model
3.2 SSZ Generator
3.3 Pose6DoF Discriminator
3.4 SemanticVoxels Dataset
4 Experiments
4.1 Baselines
4.2 Training Details
4.3 Qualitative Evaluation
4.4 Quantitative Results
4.5 Ablation Studies
5 Conclusions
References
Consistency Guided Scene Flow Estimation
Foreword
Preface
Organization
Contents
Part VII
Multiview Detection with Feature Perspective Transformation
1 Introduction
2 Related Work
3 Methodology
3.1 Multiview Aggregation
3.2 Spatial Aggregation
3.3 Training and Testing
4 Experiment
4.1 Experiment Setup
4.2 Implementation Details
4.3 Method Comparisons
4.4 Evaluation of MVDet
5 Conclusion
References
Learning Object Relation Graph and Tentative Policy for Visual Navigation
1 Introduction
2 Related Work
3 Proposed Method
3.1 Task Definition
3.2 Object Representation Graph
3.3 Navigation Driven by Visual Features
3.4 Trial-Driven Imitation Learning
3.5 Memory-Augmented Tentative Policy Network
3.6 Training Details
4 Experiments
4.1 Dataset and Evaluation
4.2 Task Setup and Comparison Methods
4.3 Results
4.4 Ablation Study
5 Conclusions
References
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition
1 Introduction
2 Related Work
2.1 3D Action Recognition
2.2 Semi-supervised Learning
2.3 Self-supervised Learning for Action Recognition
3 Method
3.1 Problem Formulation
3.2 Neighborhood Consistency for Semi-supervised 3D Action Recognition
3.3 Adversarial Learning for Aligning Self-supervised and Semi-supervised Representations
3.4 Model Architecture and Optimization
4 Experiments
4.1 Experimental Setup
4.2 Comparison with Semi-supervised Methods
4.3 Ablation Study
5 Conclusions
References
Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning
1 Introduction
2 Patch Recurrence Across Dimensions
3 Generating an Internal Training Set
4 `Zero-Shot' Temporal-SR
The Algorithm
5 Experiments and Results
References
Inducing Optimal Attribute Representations for Conditional GANs
1 Introduction
2 Related Works
3 Proposed Method
3.1 Overview on the Pipeline
3.2 Graph Convolution and Generator
3.3 Online Multitask Learning for Discriminator
4 Experiments
5 Conclusions
References
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
1 Introduction
2 Related Works
3 Proposed Method
3.1 Approach Overview
3.2 Learning the Adaptive Resolution Policy
3.3 Loss Functions
4 Experiments
4.1 Experimental Setup
4.2 Main Results
4.3 Ablation Studies
4.4 Qualitative Analysis
5 Conclusion
References
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation
1 Introduction
2 Related Work
3 Method
3.1 Semantic Frustum Voxel Model
3.2 SSZ Generator
3.3 Pose6DoF Discriminator
3.4 SemanticVoxels Dataset
4 Experiments
4.1 Baselines
4.2 Training Details
4.3 Qualitative Evaluation
4.4 Quantitative Results
4.5 Ablation Studies
5 Conclusions
References
Consistency Guided Scene Flow Estimation