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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 Representative-Discriminative Learning for Open-Set Land Cover Classification of Satellite Imagery
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    Chapter 2 Structure-Aware Human-Action Generation
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    Chapter 3 Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition
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    Chapter 4 $$S^3$$ S 3 Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
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    Chapter 5 Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning
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    Chapter 6 Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks
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    Chapter 7 UNITER: UNiversal Image-TExt Representation Learning
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    Chapter 8 Oscar : Object-Semantics Aligned Pre-training for Vision-Language Tasks
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    Chapter 9 Improving Face Recognition from Hard Samples via Distribution Distillation Loss
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    Chapter 10 Extract and Merge: Superpixel Segmentation with Regional Attributes
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    Chapter 11 Spatial-Adaptive Network for Single Image Denoising
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    Chapter 12 Physics-Based Feature Dehazing Networks
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    Chapter 13 Learning Surrogates via Deep Embedding
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    Chapter 14 An Asymmetric Modeling for Action Assessment
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    Chapter 15 High-Quality Single-Model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation
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    Chapter 16 Instance-Aware Embedding for Point Cloud Instance Segmentation
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    Chapter 17 Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples
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    Chapter 18 Manifold Projection for Adversarial Defense on Face Recognition
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    Chapter 19 Weakly Supervised Learning with Side Information for Noisy Labeled Images
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    Chapter 20 Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision
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    Chapter 21 SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
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    Chapter 22 Modeling the Space of Point Landmark Constrained Diffeomorphisms
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    Chapter 23 PieNet: Personalized Image Enhancement Network
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    Chapter 24 Rotational Outlier Identification in Pose Graphs using Dual Decomposition
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    Chapter 25 Speech-Driven Facial Animation Using Cascaded GANs for Learning of Motion and Texture
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    Chapter 26 Solving Phase Retrieval with a Learned Reference
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    Chapter 27 Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps
Attention for Chapter 25: Speech-Driven Facial Animation Using Cascaded GANs for Learning of Motion and Texture
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Citations

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Chapter title
Speech-Driven Facial Animation Using Cascaded GANs for Learning of Motion and Texture
Chapter number 25
Book title
Computer Vision – ECCV 2020
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-58577-8_25
Book ISBNs
978-3-03-058576-1, 978-3-03-058577-8
Authors

Dipanjan Das, Sandika Biswas, Sanjana Sinha, Brojeshwar Bhowmick, Das, Dipanjan, Biswas, Sandika, Sinha, Sanjana, Bhowmick, Brojeshwar

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Student > Ph. D. Student 10 13%
Researcher 5 6%
Student > Bachelor 3 4%
Student > Doctoral Student 1 1%
Other 2 3%
Unknown 45 57%
Readers by discipline Count As %
Computer Science 29 37%
Engineering 3 4%
Economics, Econometrics and Finance 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Unknown 45 57%

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