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Computer vision -- ECCV 2020 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings. Part VII /

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic....

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Corporate Authors: European Conference on Computer Vision Online)
Other Authors: European Conference on Computer Vision, Vedaldi, Andrea, Bischof, Horst, Brox, Thomas, Frahm, Jan-Michael,, SpringerLink (Online service)
Format: eBook
Language: English
Published: Cham : Springer, 2020.
Physical Description: 1 online resource (xlii, 805 pages) : illustrations.
Series: Lecture notes in computer science ; 12352.
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics.
Subjects:
Computer vision -- Congresses.
Optical data processing.
Electronic books.
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 Z̀ero-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.

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