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Computer Vision – ECCV 2020

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Cover of 'Computer Vision – ECCV 2020'

Table of Contents

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    Book Overview
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    Chapter 1 MessyTable: Instance Association in Multiple Camera Views
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    Chapter 4 HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization
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    Chapter 6 Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
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    Chapter 7 Towards Real-Time Multi-Object Tracking
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    Chapter 8 A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation
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    Chapter 16 From Shadow Segmentation to Shadow Removal
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    Chapter 17 Diverse and Admissible Trajectory Forecasting Through Multimodal Context Understanding
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    Chapter 18 CONFIG: Controllable Neural Face Image Generation
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    Chapter 19 Single View Metrology in the Wild
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    Chapter 20 Procedure Planning in Instructional Videos
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    Chapter 25 HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction
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    Chapter 29 Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
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    Chapter 30 Semi-supervised Learning with a Teacher-Student Network for Generalized Attribute Prediction
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    Chapter 33 Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
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    Chapter 34 DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
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    Chapter 35 Neural Re-rendering of Humans from a Single Image
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    Chapter 39 CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing
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    Chapter 41 Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
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    Chapter 42 Making Affine Correspondences Work in Camera Geometry Computation
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    Chapter 43 Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces
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    Chapter 44 Foley Music: Learning to Generate Music from Videos
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    Chapter 45 Contrastive Multiview Coding
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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