Computer Vision – ECCV 2016

Table of Contents

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   Book Overview
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   Chapter 1 Generating Visual Explanations
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   Chapter 2 Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps
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   Chapter 3 Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons
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   Chapter 4 Manhattan-World Urban Reconstruction from Point Clouds
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   Chapter 5 Computer Vision – ECCV 2016
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   Chapter 6 Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests
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   Chapter 7 Can We Jointly Register and Reconstruct Creased Surfaces by Shape-from-Template Accurately?
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   Chapter 8 Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes
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    Chapter 9 Connectionist Temporal Modeling for Weakly Supervised Action Labeling
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    Chapter 10 Deep Joint Image Filtering
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    Chapter 11 Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation
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    Chapter 12 A Multi-scale CNN for Affordance Segmentation in RGB Images
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    Chapter 13 Hierarchical Dynamic Parsing and Encoding for Action Recognition
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    Chapter 14 Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation
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    Chapter 15 A Diagram is Worth a Dozen Images
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    Chapter 16 Automatic Attribute Discovery with Neural Activations
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    Chapter 17 “What Happens If...” Learning to Predict the Effect of Forces in Images
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    Chapter 18 View Synthesis by Appearance Flow
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    Chapter 19 Top-Down Learning for Structured Labeling with Convolutional Pseudoprior
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    Chapter 20 Generative Image Modeling Using Style and Structure Adversarial Networks
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    Chapter 21 Joint Learning of Semantic and Latent Attributes
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    Chapter 22 A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
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    Chapter 23 Deep Specialized Network for Illuminant Estimation
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    Chapter 24 Weakly-Supervised Semantic Segmentation Using Motion Cues
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    Chapter 25 Human-in-the-Loop Person Re-identification
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    Chapter 26 Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects
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    Chapter 27 Estimation of Human Body Shape in Motion with Wide Clothing
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    Chapter 28 A Shape-Based Approach for Salient Object Detection Using Deep Learning
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    Chapter 29 Fast Optical Flow Using Dense Inverse Search
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    Chapter 30 Global Registration of 3D Point Sets via LRS Decomposition
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    Chapter 31 Recognition from Hand Cameras: A Revisit with Deep Learning
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    Chapter 32 XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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    Chapter 33 Top-Down Neural Attention by Excitation Backprop
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    Chapter 34 Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network
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    Chapter 35 Learning Representations for Automatic Colorization
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    Chapter 36 Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
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    Chapter 37 Learning Without Forgetting
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    Chapter 38 Identity Mappings in Deep Residual Networks
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    Chapter 39 Deep Networks with Stochastic Depth
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    Chapter 40 Less Is More: Towards Compact CNNs
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    Chapter 41 Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints
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    Chapter 42 Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
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    Chapter 43 Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples
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    Chapter 44 Chained Predictions Using Convolutional Neural Networks
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    Chapter 45 Multi-region Two-Stream R-CNN for Action Detection
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    Chapter 46 Semantic Co-segmentation in Videos
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    Chapter 47 Attribute2Image: Conditional Image Generation from Visual Attributes
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    Chapter 48 Modeling Context Between Objects for Referring Expression Understanding
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    Chapter 49 Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance
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    Chapter 50 Saliency Detection with Recurrent Fully Convolutional Networks
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    Chapter 51 Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
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    Chapter 52 Temporal Model Adaptation for Person Re-identification