Computer Vision – ECCV 2018

Table of Contents

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   Book Overview
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   Chapter 1 Physical Primitive Decomposition
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   Chapter 2 Deep Attention Neural Tensor Network for Visual Question Answering
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   Chapter 3 Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
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   Chapter 4 Combining 3D Model Contour Energy and Keypoints for Object Tracking
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   Chapter 5 Pairwise Confusion for Fine-Grained Visual Classification
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   Chapter 6 Interpretable Intuitive Physics Model
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   Chapter 7 Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States
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   Chapter 8 SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation
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    Chapter 9 Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
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    Chapter 10 Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms
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    Chapter 11 DYAN: A Dynamical Atoms-Based Network for Video Prediction
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    Chapter 12 Sparsely Aggregated Convolutional Networks
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    Chapter 13 Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
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    Chapter 14 Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks
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    Chapter 15 End-to-End Incremental Learning
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    Chapter 16 Conditional Image-Text Embedding Networks
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    Chapter 17 Sampling Algebraic Varieties for Robust Camera Autocalibration
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    Chapter 18 Attribute-Guided Face Generation Using Conditional CycleGAN
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    Chapter 19 Deep Structure Inference Network for Facial Action Unit Recognition
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    Chapter 20 Learning Priors for Semantic 3D Reconstruction
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    Chapter 21 Object Detection in Video with Spatiotemporal Sampling Networks
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    Chapter 22 Video Summarization Using Fully Convolutional Sequence Networks
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    Chapter 23 Modeling Visual Context Is Key to Augmenting Object Detection Datasets
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    Chapter 24 Learning Region Features for Object Detection
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    Chapter 25 End-to-End Deep Structured Models for Drawing Crosswalks
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    Chapter 26 Sidekick Policy Learning for Active Visual Exploration
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    Chapter 27 Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation
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    Chapter 28 Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search
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    Chapter 29 Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?
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    Chapter 30 Visual Question Generation for Class Acquisition of Unknown Objects
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    Chapter 31 Efficient Dense Point Cloud Object Reconstruction Using Deformation Vector Fields
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    Chapter 32 Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization
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    Chapter 33 Concept Mask: Large-Scale Segmentation from Semantic Concepts
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    Chapter 34 Descending, Lifting or Smoothing: Secrets of Robust Cost Optimization
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    Chapter 35 Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification
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    Chapter 36 License Plate Detection and Recognition in Unconstrained Scenarios
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    Chapter 37 Self-produced Guidance for Weakly-Supervised Object Localization
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    Chapter 38 Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
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    Chapter 39 Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
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    Chapter 40 Improving Shape Deformation in Unsupervised Image-to-Image Translation
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    Chapter 41 SwapNet: Image Based Garment Transfer
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    Chapter 42 Deterministic Consensus Maximization with Biconvex Programming
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    Chapter 43 Robust Fitting in Computer Vision: Easy or Hard?
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    Chapter 44 Highly-Economized Multi-view Binary Compression for Scalable Image Clustering
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    Chapter 45 Efficient Semantic Scene Completion Network with Spatial Group Convolution
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    Chapter 46 Asynchronous, Photometric Feature Tracking Using Events and Frames