Computer Vision -- ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020 : proceedings. Part V
- Author/Creator:
- European Conference on Computer Vision Online) 2020 : (16th
- Publication/Creation:
- Cham : Springer, 2020
- Resource Type:
- Book
More Details
Additional/Related Title Information
- Full Title:
- Computer Vision -- ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020 : proceedings. Part V / Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (eds.).
- Series Titles:
- Lecture notes in computer science ; 12350
LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 12350.
LNCS sublibrary.
- Variant Titles:
- ECCV 2020
Related Names
- Additional Author/Creators:
- Vedaldi, Andrea, editor
Bischof, Horst, editor
Brox, Thomas, editor
Frahm, Jan-Michael, editor
Subjects/Genre
- Genre:
- Conference papers and proceedings
Electronic books - Subjects:
- Computer vision--Congresses
Optical data processing
Machine learning
Pattern perception
Description/Summary
- Table of Contents:
- Intro -- Foreword -- Preface -- Organization -- Contents -- Part V -- BLSM: A Bone-Level Skinned Model of the Human Mesh -- 1 Introduction -- 2 Related Work -- 3 Bone-Level Skinned Model -- 3.1 Skeleton Modeling -- 3.2 Template Synthesis -- 3.3 Linear Blend Skinning -- 4 Model Training -- 4.1 Unconstrained Landmark-Based Alignment -- 4.2 Bone Basis and Bone-Corrective Blendshapes -- 4.3 Shape Blendshapes -- 4.4 Blending Weights -- 5 Evaluation -- 5.1 Implementation Details -- 5.2 Quantitative Evaluation -- 5.3 Qualitative Evaluation -- 6 Conclusion -- References
Associative Alignment for Few-Shot Image Classification -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Associative Alignment -- 4.1 Detecting the Related Bases -- 4.2 Centroid Associative Alignment -- 4.3 Adversarial Associative Alignment -- 5 Establishing a Strong Baseline -- 5.1 Classification Loss Functions -- 5.2 Episodic Early Stopping -- 6 Experimental Validation -- 6.1 Datasets and Implementation Details -- 6.2 mini-ImageNet and CUB with a Shallow Conv4 Backbone -- 6.3 mini-ImageNet and tieredimageNet with Deep Backbones -- 6.4 FC100 and CUB with a ResNet-18 Backbone
6.5 Cross-Domain Evaluation -- 7 Discussion -- References -- Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes -- 1 Introduction -- 2 Contribution -- 3 Background -- 3.1 Riemannian 2-Manifolds -- 3.2 Functional Maps -- 3.3 Deep Functional Maps -- 3.4 Self-Supervised Deep Functional Maps -- 4 Cyclic Self-Supervised Deep Functional Maps -- 4.1 Correspondence Distortion -- 4.2 Cyclic Distortion -- 4.3 Deep Cyclic Mapping -- 5 Implementation -- 5.1 Hardware -- 5.2 Pre-processing -- 5.3 Network Architecture -- 6 Experiments -- 6.1 Mesh Error Evaluation
6.2 Synthetic FAUST -- 6.3 Real Scans -- 6.4 Non-Isometric Deformations -- 6.5 TOSCA -- 6.6 SCAPE -- 6.7 One-Shot Single Pair Learning -- 6.8 Partial Shapes Correspondence -- 7 Limitations -- 8 Summary -- References -- View-Invariant Probabilistic Embedding for Human Pose -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Matching Definition -- 3.2 Triplet Ratio Loss -- 3.3 Positive Pairwise Loss -- 3.4 Probabilistic Embeddings -- 3.5 Camera Augmentation -- 3.6 Implementation Details -- 4 Experiments -- 4.1 Datasets -- 4.2 View-Invariant Pose Retrieval -- 4.3 Downstream Tasks
4.4 Ablation Study -- 5 Conclusion -- References -- Contact and Human Dynamics from Monocular Video -- 1 Introduction -- 2 Related Work -- 3 Physics-Based Motion Estimation -- 3.1 Physics-Based Trajectory Optimization -- 3.2 Learning to Estimate Contacts -- 3.3 Kinematic Initialization -- 4 Results -- 4.1 Contact Estimation -- 4.2 Qualitative Motion Evaluation -- 4.3 Quantitative Motion Evaluation -- 5 Discussion -- References -- PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 The Cost Volume Layer - Summary:
- 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. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
- Language:
- English
- Physical Type/Description:
- 1 online resource (xlii, 803 pages) : illustrations
- General Note:
- International conference proceedings.
Includes author index. - Local Note:
- Available to current Emory University students, faculty and staff.
Additional Identifiers
- Catalog ID (MMSID):
- 9937265459402486
- ISBN:
- 9783030585587
3030585581 - OCLC Number:
- 1225891716
- Other Identifiers:
- doi: 10.1007/978-3-030-58558-7
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