Computer vision -- ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings. Part XXVII / Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (eds.).

Intro
Foreword
Preface
Organization
Contents
Part XXVII
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces from Images
1 Introduction
2 Related Work
3 Surface Property Synesthesia Dataset
4 Methods
4.1 Mapping Vision to Touch
4.2 Viewpoint Selection
5 Experiments
5.1 Cross-Modal Experiments
5.2 Viewing Angle Selection Experiments
6 Conclusion
References
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion
1 Introduction
1.1 Related Work and Contributions

2 Bilinear Parameterization Penalties
2.1 Extreme Points and Optimality
3 Non-square Matrices
4 Linear Objectives
Weighted Nuclear Norms
5 Experiments
5.1 Pseudo Object Space Error (pOSE) and Non-Rigid Structure from Motion
5.2 Low-Rank Matrix Recovery with pOSE Errors
5.3 Non-Rigid Structure Recovery
6 Conclusions
References
Proposal-Based Video Completion
1 Introduction
2 Related Work
3 Proposal-Based Video Completion
3.1 Overview
3.2 3D Inpainting Network
3.3 Proposal Generation
3.4 Proposals Fusion
3.5 Training

3.6 Implementation Details
4 Experimental Results
4.1 Experimental Setting
4.2 Fixed Region Inpainting
4.3 Video Object Removal
4.4 Ablation Study
4.5 Failure Cases
5 Conclusion
References
HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation
1 Introduction
2 Related Work
3 The Proposed Method
3.1 Preliminaries and Motivation
3.2 Adaptive Feature Separation
3.3 Hybrid Generation
3.4 Training and Inference
4 Experiments
4.1 Datasets and Comparisons
4.2 Implementation Details
4.3 Experimental Results
4.4 Ablation Study

5 Conclusion
References
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding
1 Introduction
2 Related Work
2.1 Single Image Deraining
2.2 Video Deraining
2.3 Stereo Deraining
3 The Semantic-Aware Deraining Module
3.1 The Consolidation of Different Tasks
3.2 Image Deraining and Scene Segmentation
3.3 Semantic-Rethinking Loop
4 The Paired Rain Removal Network
4.1 Network Architecture
4.2 SFNet
4.3 VFNet
4.4 Objective Functions
5 Experiments
5.1 Datasets
5.2 Implementation Details
5.3 Ablation Study

5.4 Stereo Deraining
5.5 Monocular Deraining
5.6 Evaluation on Real-World Images
6 Conclusion
References
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks
1 Introduction
2 Related Work
3 Differentiable Branched Quantizer (DBQ)
3.1 Formulation of DBQ
3.2 Differentiability
3.3 Implementation Details
4 Experimental Results
4.1 Complexity Metrics
4.2 CIFAR-10 Results
4.3 ImageNet Results
4.4 Visual Wake Words Results
5 Conclusion
References