Computer vision -- ECCV 2020 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings. Part IX /
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....
| 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.
Cham : 2020. |
| Physical Description: |
1 online resource (860 pages). |
| Series: |
Lecture notes in computer science ;
12354. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics. |
| Subjects: |
| 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. |
|---|---|
| Item Description: |
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. 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. Includes bibliographical references and author index. |
| Physical Description: |
1 online resource (860 pages). |
| Bibliography: |
Includes bibliographical references and author index. |
| ISBN: |
9783030585457 303058545X |