Computer Vision – ACCV 2016

Table of Contents

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   Book Overview
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   Chapter 1 Realtime Hierarchical Clustering Based on Boundary and Surface Statistics
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   Chapter 2 Weakly-Supervised Video Scene Co-parsing
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   Chapter 3 Supervoxel-Based Segmentation of 3D Volumetric Images
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   Chapter 4 Message Passing on the Two-Layer Network for Geometric Model Fitting
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   Chapter 5 Deep Supervised Hashing with Triplet Labels
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   Chapter 6 Boosting Zero-Shot Image Classification via Pairwise Relationship Learning
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   Chapter 7 Hierarchical Supervoxel Graph for Interactive Video Object Representation and Segmentation
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   Chapter 8 Learning to Generate Object Segment Proposals with Multi-modal Cues
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    Chapter 9 Saliency Detection via Diversity-Induced Multi-view Matrix Decomposition
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    Chapter 10 Parallel Accelerated Matting Method Based on Local Learning
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    Chapter 11 Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
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    Chapter 12 Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
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    Chapter 13 Object Boundary Guided Semantic Segmentation
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    Chapter 14 FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture
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    Chapter 15 Point-Cut: Interactive Image Segmentation Using Point Supervision
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    Chapter 16 A Holistic Approach for Data-Driven Object Cutout
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    Chapter 17 Interactive Segmentation from 1-Bit Feedback
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    Chapter 18 Geodesic Distance Histogram Feature for Video Segmentation
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    Chapter 19 HF-FCN: Hierarchically Fused Fully Convolutional Network for Robust Building Extraction
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    Chapter 20 Dictionary Reduction: Automatic Compact Dictionary Learning for Classification
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    Chapter 21 A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval
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    Chapter 22 SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions
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    Chapter 23 An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering
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    Chapter 24 Sparse Gradient Pursuit for Robust Visual Analysis
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    Chapter 25 F-SORT: An Alternative for Faster Geometric Verification
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    Chapter 26 Clustering Symmetric Positive Definite Matrices on the Riemannian Manifolds
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    Chapter 27 Subspace Learning Based Low-Rank Representation