Computer Vision -- ECCV 2014

Table of Contents

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   Book Overview
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   Chapter 1 Visual Tracking by Sampling Tree-Structured Graphical Models
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   Chapter 2 Tracking Interacting Objects Optimally Using Integer Programming
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   Chapter 3 Learning Latent Constituents for Recognition of Group Activities in Video
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   Chapter 4 Large-Scale Object Classification Using Label Relation Graphs
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   Chapter 5 30Hz Object Detection with DPM V5
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   Chapter 6 Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection
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   Chapter 7 Linking People in Videos with “Their” Names Using Coreference Resolution
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   Chapter 8 Optimal Essential Matrix Estimation via Inlier-Set Maximization
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    Chapter 9 UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability
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    Chapter 10 3D Reconstruction of Dynamic Textures in Crowd Sourced Data
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    Chapter 11 3D Interest Point Detection via Discriminative Learning
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    Chapter 12 Pose Locality Constrained Representation for 3D Human Pose Reconstruction
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    Chapter 13 Synchronization of Two Independently Moving Cameras without Feature Correspondences
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    Chapter 14 Multi Focus Structured Light for Recovering Scene Shape and Global Illumination
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    Chapter 15 Coplanar Common Points in Non-centric Cameras
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    Chapter 16 SRA: Fast Removal of General Multipath for ToF Sensors
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    Chapter 17 Sub-pixel Layout for Super-Resolution with Images in the Octic Group
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    Chapter 18 Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition
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    Chapter 19 Computer Vision – ECCV 2014
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    Chapter 20 Multilinear Wavelets: A Statistical Shape Space for Human Faces
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    Chapter 21 Distance Estimation of an Unknown Person from a Portrait
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    Chapter 22 Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model
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    Chapter 23 Description-Discrimination Collaborative Tracking
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    Chapter 24 Online, Real-Time Tracking Using a Category-to-Individual Detector
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    Chapter 25 Robust Visual Tracking with Double Bounding Box Model
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    Chapter 26 Tractable and Reliable Registration of 2D Point Sets
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    Chapter 27 Graduated Consistency-Regularized Optimization for Multi-graph Matching
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    Chapter 28 Optical Flow Estimation with Channel Constancy
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    Chapter 29 Non-local Total Generalized Variation for Optical Flow Estimation
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    Chapter 30 Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow
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    Chapter 31 Hipster Wars: Discovering Elements of Fashion Styles
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    Chapter 32 From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields
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    Chapter 33 Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis
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    Chapter 34 Learning to Rank 3D Features
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    Chapter 35 Salient Color Names for Person Re-identification
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    Chapter 36 Learning Discriminative and Shareable Features for Scene Classification
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    Chapter 37 Image Retrieval and Ranking via Consistently Reconstructing Multi-attribute Queries
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    Chapter 38 Neural Codes for Image Retrieval
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    Chapter 39 Architectural Style Classification Using Multinomial Latent Logistic Regression
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    Chapter 40 Instance Segmentation of Indoor Scenes Using a Coverage Loss
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    Chapter 41 Superpixel Graph Label Transfer with Learned Distance Metric
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    Chapter 42 Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images
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    Chapter 43 A Multi-stage Approach to Curve Extraction
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    Chapter 44 Geometry Driven Semantic Labeling of Indoor Scenes
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    Chapter 45 A Novel Topic-Level Random Walk Framework for Scene Image Co-segmentation
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    Chapter 46 Surface Matching and Registration by Landmark Curve-Driven Canonical Quasiconformal Mapping
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    Chapter 47 Motion Words for Videos
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    Chapter 48 Activity Group Localization by Modeling the Relations among Participants
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    Chapter 49 Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach
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    Chapter 50 Semantic Aware Video Transcription Using Random Forest Classifiers
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    Chapter 51 Ranking Domain-Specific Highlights by Analyzing Edited Videos
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    Chapter 52 A Multi-transformational Model for Background Subtraction with Moving Cameras
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    Chapter 53 Visualizing and Understanding Convolutional Networks
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    Chapter 54 Part-Based R-CNNs for Fine-Grained Category Detection