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Computer Vision – ECCV 2018

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Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Contextual-Based Image Inpainting: Infer, Match, and Translate
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    Chapter 2 TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
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    Chapter 3 Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation
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    Chapter 4 Robust Image Stitching with Multiple Registrations
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    Chapter 5 CTAP: Complementary Temporal Action Proposal Generation
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    Chapter 6 Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
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    Chapter 7 Open-World Stereo Video Matching with Deep RNN
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    Chapter 8 Deep High Dynamic Range Imaging with Large Foreground Motions
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    Chapter 9 Linear Span Network for Object Skeleton Detection
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    Chapter 10 SaaS: Speed as a Supervisor for Semi-supervised Learning
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    Chapter 11 Attention-GAN for Object Transfiguration in Wild Images
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    Chapter 12 Exploring the Limits of Weakly Supervised Pretraining
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    Chapter 13 Egocentric Activity Prediction via Event Modulated Attention
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    Chapter 14 How Good Is My GAN?
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    Chapter 15 3D-CODED: 3D Correspondences by Deep Deformation
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    Chapter 16 Audio-Visual Event Localization in Unconstrained Videos
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    Chapter 17 Grounding Visual Explanations
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    Chapter 18 Adversarial Open-World Person Re-Identification
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    Chapter 19 Generative Domain-Migration Hashing for Sketch-to-Image Retrieval
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    Chapter 20 TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights
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    Chapter 21 End-to-End View Synthesis for Light Field Imaging with Pseudo 4DCNN
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    Chapter 22 DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks
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    Chapter 23 Deep Video Generation, Prediction and Completion of Human Action Sequences
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    Chapter 24 Semantic Match Consistency for Long-Term Visual Localization
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    Chapter 25 Deep Generative Models for Weakly-Supervised Multi-Label Classification
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    Chapter 26 Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint
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    Chapter 27 ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks
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    Chapter 28 Local Orthogonal-Group Testing
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    Chapter 29 Rolling Shutter Pose and Ego-Motion Estimation Using Shape-from-Template
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    Chapter 30 Unveiling the Power of Deep Tracking
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    Chapter 31 Recurrent Fusion Network for Image Captioning
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    Chapter 32 Good Line Cutting: Towards Accurate Pose Tracking of Line-Assisted VO/VSLAM
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    Chapter 33 Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
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    Chapter 34 Where Are the Blobs: Counting by Localization with Point Supervision
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    Chapter 35 Textual Explanations for Self-Driving Vehicles
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    Chapter 36 Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias
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    Chapter 37 Deep Recursive HDRI: Inverse Tone Mapping Using Generative Adversarial Networks
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    Chapter 38 DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition
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    Chapter 39 Pairwise Relational Networks for Face Recognition
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    Chapter 40 Stereo Vision-Based Semantic 3D Object and Ego-Motion Tracking for Autonomous Driving
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    Chapter 41 A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
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    Chapter 42 Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction
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    Chapter 43 ECO: Efficient Convolutional Network for Online Video Understanding
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    Chapter 44 Multi-Scale Structure-Aware Network for Human Pose Estimation
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    Chapter 45 Diverse and Coherent Paragraph Generation from Images
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    Chapter 46 From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data
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Mentioned by

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18 X users
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6 patents

Citations

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Title
Computer Vision – ECCV 2018
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-01216-8
ISBNs
978-3-03-001215-1, 978-3-03-001216-8
Editors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 18%
Student > Master 4 18%
Researcher 2 9%
Student > Ph. D. Student 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 10 45%
Readers by discipline Count As %
Computer Science 8 36%
Engineering 4 18%
Unknown 10 45%