Computer Vision – ECCV 2018

Table of Contents

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   Book Overview
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   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