Computer Vision – ECCV 2014 : 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII

Table of Contents

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   Book Overview
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   Chapter 1 Person Re-Identification Using Kernel-Based Metric Learning Methods
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   Chapter 2 Saliency in Crowd
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   Chapter 3 Webpage Saliency
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   Chapter 4 Deblurring Face Images with Exemplars
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   Chapter 5 Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution
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   Chapter 6 Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information
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   Chapter 7 Affine Subspace Representation for Feature Description
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   Chapter 8 A Generative Model for the Joint Registration of Multiple Point Sets
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    Chapter 9 Change Detection in the Presence of Motion Blur and Rolling Shutter Effect
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    Chapter 10 An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions
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    Chapter 11 OpenDR: An Approximate Differentiable Renderer
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    Chapter 12 A Superior Tracking Approach: Building a Strong Tracker through Fusion
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    Chapter 13 Training-Based Spectral Reconstruction from a Single RGB Image
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    Chapter 14 On Shape and Material Recovery from Motion
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    Chapter 15 Intrinsic Image Decomposition Using Structure-Texture Separation and Surface Normals
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    Chapter 16 Multi-level Adaptive Active Learning for Scene Classification
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    Chapter 17 Graph Cuts for Supervised Binary Coding
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    Chapter 18 Planar Structure Matching under Projective Uncertainty for Geolocation
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    Chapter 19 Active Deformable Part Models Inference
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    Chapter 20 Simultaneous Detection and Segmentation
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    Chapter 21 Learning Graphs to Model Visual Objects across Different Depictive Styles
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    Chapter 22 Analyzing the Performance of Multilayer Neural Networks for Object Recognition
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    Chapter 23 Learning Rich Features from RGB-D Images for Object Detection and Segmentation
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    Chapter 24 Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification
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    Chapter 25 OTC: A Novel Local Descriptor for Scene Classification
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    Chapter 26 Multi-scale Orderless Pooling of Deep Convolutional Activation Features
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    Chapter 27 Expanding the Family of Grassmannian Kernels: An Embedding Perspective
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    Chapter 28 Image Tag Completion by Noisy Matrix Recovery
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    Chapter 29 ConceptMap: Mining Noisy Web Data for Concept Learning
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    Chapter 30 Shrinkage Expansion Adaptive Metric Learning
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    Chapter 31 Salient Montages from Unconstrained Videos
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    Chapter 32 Action-Reaction: Forecasting the Dynamics of Human Interaction
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    Chapter 33 Creating Summaries from User Videos
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    Chapter 34 Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
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    Chapter 35 Robust Foreground Detection Using Smoothness and Arbitrariness Constraints
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    Chapter 36 Video Object Co-segmentation by Regulated Maximum Weight Cliques
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    Chapter 37 Dense Semi-rigid Scene Flow Estimation from RGBD Images
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    Chapter 38 Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes
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    Chapter 39 Joint Object Class Sequencing and Trajectory Triangulation (JOST)
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    Chapter 40 Scene Chronology