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Computer Vision – ECCV 2018

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Table of Contents

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    Book Overview
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    Chapter 1 PS-FCN: A Flexible Learning Framework for Photometric Stereo
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    Chapter 2 Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions
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    Chapter 3 Rendering Portraitures from Monocular Camera and Beyond
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    Chapter 4 Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks
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    Chapter 5 A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data
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    Chapter 6 RCAA: Relational Context-Aware Agents for Person Search
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    Chapter 7 Distractor-Aware Siamese Networks for Visual Object Tracking
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    Chapter 8 Face Recognition with Contrastive Convolution
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    Chapter 9 Adding Attentiveness to the Neurons in Recurrent Neural Networks
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    Chapter 10 Learning Dynamic Memory Networks for Object Tracking
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    Chapter 11 GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
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    Chapter 12 Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks
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    Chapter 13 Find and Focus: Retrieve and Localize Video Events with Natural Language Queries
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    Chapter 14 Face Super-Resolution Guided by Facial Component Heatmaps
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    Chapter 15 Reverse Attention for Salient Object Detection
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    Chapter 16 Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
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    Chapter 17 PSANet: Point-wise Spatial Attention Network for Scene Parsing
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    Chapter 18 Repeatability Is Not Enough: Learning Affine Regions via Discriminability
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    Chapter 19 Compressing the Input for CNNs with the First-Order Scattering Transform
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    Chapter 20 Faces as Lighting Probes via Unsupervised Deep Highlight Extraction
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    Chapter 21 DetNet: Design Backbone for Object Detection
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    Chapter 22 Structured Siamese Network for Real-Time Visual Tracking
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    Chapter 23 Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation
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    Chapter 24 HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs
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    Chapter 25 Learning Human-Object Interactions by Graph Parsing Neural Networks
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    Chapter 26 Macro-Micro Adversarial Network for Human Parsing
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    Chapter 27 Stereo Computation for a Single Mixture Image
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    Chapter 28 Dividing and Aggregating Network for Multi-view Action Recognition
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    Chapter 29 Selective Zero-Shot Classification with Augmented Attributes
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    Chapter 30 Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
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    Chapter 31 An Adversarial Approach to Hard Triplet Generation
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    Chapter 32 SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images
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    Chapter 33 Deep Directional Statistics: Pose Estimation with Uncertainty Quantification
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    Chapter 34 Joint Representation and Truncated Inference Learning for Correlation Filter Based Tracking
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    Chapter 35 Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
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    Chapter 36 Predicting Future Instance Segmentation by Forecasting Convolutional Features
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    Chapter 37 Flow-Grounded Spatial-Temporal Video Prediction from Still Images
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    Chapter 38 Learning to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks
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    Chapter 39 A Dataset of Flash and Ambient Illumination Pairs from the Crowd
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    Chapter 40 Pose-Normalized Image Generation for Person Re-identification
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    Chapter 41 Learning 3D Human Pose from Structure and Motion
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    Chapter 42 Deep Reinforcement Learning with Iterative Shift for Visual Tracking
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    Chapter 43 PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction
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    Chapter 44 AugGAN: Cross Domain Adaptation with GAN-Based Data Augmentation
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    Chapter 45 Graininess-Aware Deep Feature Learning for Pedestrian Detection
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    Chapter 46 Seeing Tree Structure from Vibration
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    Chapter 47 The Devil of Face Recognition Is in the Noise
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    Chapter 48 Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency
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    Chapter 49 PyramidBox: A Context-Assisted Single Shot Face Detector
Overall attention for this book and its chapters
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Mentioned by

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19 tweeters

Citations

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Readers on

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Title
Computer Vision – ECCV 2018
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01240-3
ISBNs
978-3-03-001239-7, 978-3-03-001240-3
Editors

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

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 205 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 24%
Student > Ph. D. Student 42 20%
Researcher 14 7%
Student > Bachelor 12 6%
Student > Doctoral Student 9 4%
Other 24 12%
Unknown 54 26%
Readers by discipline Count As %
Computer Science 98 48%
Engineering 31 15%
Earth and Planetary Sciences 4 2%
Unspecified 3 1%
Social Sciences 2 <1%
Other 7 3%
Unknown 60 29%