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Computer Vision – ECCV 2018

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Cover of 'Computer Vision – ECCV 2018'

Table of Contents

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    Book Overview
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    Chapter 1 GridFace: Face Rectification via Learning Local Homography Transformations
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    Chapter 2 Polarimetric Three-View Geometry
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    Chapter 3 Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
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    Chapter 4 Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
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    Chapter 5 Learning 3D Shapes as Multi-layered Height-Maps Using 2D Convolutional Networks
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    Chapter 6 A Geometric Perspective on Structured Light Coding
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    Chapter 7 Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
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    Chapter 8 ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids
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    Chapter 9 Super-Resolution and Sparse View CT Reconstruction
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    Chapter 10 AutoLoc: Weakly-Supervised Temporal Action Localization in Untrimmed Videos
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    Chapter 11 Exploiting Vector Fields for Geometric Rectification of Distorted Document Images
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    Chapter 12 Hard-Aware Point-to-Set Deep Metric for Person Re-identification
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    Chapter 13 Image Generation from Sketch Constraint Using Contextual GAN
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    Chapter 14 Multi-class Model Fitting by Energy Minimization and Mode-Seeking
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    Chapter 15 HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision
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    Chapter 16 A Unified Framework for Multi-view Multi-class Object Pose Estimation
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    Chapter 17 Dynamic Task Prioritization for Multitask Learning
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    Chapter 18 Joint Blind Motion Deblurring and Depth Estimation of Light Field
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    Chapter 19 Data-Driven Sparse Structure Selection for Deep Neural Networks
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    Chapter 20 On the Solvability of Viewing Graphs
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    Chapter 21 Deep Volumetric Video From Very Sparse Multi-view Performance Capture
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    Chapter 22 Accurate Scene Text Detection Through Border Semantics Awareness and Bootstrapping
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    Chapter 23 Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification
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    Chapter 24 Learning Type-Aware Embeddings for Fashion Compatibility
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    Chapter 25 Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes
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    Chapter 26 Reconstruction-Based Pairwise Depth Dataset for Depth Image Enhancement Using CNN
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    Chapter 27 SRFeat: Single Image Super-Resolution with Feature Discrimination
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    Chapter 28 Recognition in Terra Incognita
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    Chapter 29 A Minimal Closed-Form Solution for Multi-perspective Pose Estimation using Points and Lines
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    Chapter 30 LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization
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    Chapter 31 On Regularized Losses for Weakly-supervised CNN Segmentation
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    Chapter 32 Dense Semantic and Topological Correspondence of 3D Faces without Landmarks
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    Chapter 33 Using Object Information for Spotting Text
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    Chapter 34 Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection
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    Chapter 35 Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
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    Chapter 36 Domain Transfer Through Deep Activation Matching
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    Chapter 37 Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
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    Chapter 38 Adaptively Transforming Graph Matching
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    Chapter 39 Deep Continuous Fusion for Multi-sensor 3D Object Detection
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    Chapter 40 Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing
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    Chapter 41 Understanding Perceptual and Conceptual Fluency at a Large Scale
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    Chapter 42 Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
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    Chapter 43 Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images
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    Chapter 44 Deep Randomized Ensembles for Metric Learning
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    Chapter 45 3D Ego-Pose Estimation via Imitation Learning
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    Chapter 46 ContextVP: Fully Context-Aware Video Prediction
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    Chapter 47 Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics
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    Chapter 48 Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond
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    Chapter 49 Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
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    Chapter 50 DeepTAM: Deep Tracking and Mapping
Overall attention for this book and its chapters
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1 Wikipedia page

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Title
Computer Vision – ECCV 2018
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01270-0
ISBNs
978-3-03-001269-4, 978-3-03-001270-0
Editors

Ferrari, Vittorio, Hebert, Martial, Sminchisescu, Cristian, Weiss, Yair

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 21%
Student > Ph. D. Student 14 19%
Student > Postgraduate 6 8%
Student > Bachelor 5 7%
Researcher 5 7%
Other 3 4%
Unknown 26 35%
Readers by discipline Count As %
Computer Science 31 41%
Engineering 17 23%
Unknown 27 36%