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Computer Vision -- ACCV 2014

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Table of Contents

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    Book Overview
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    Chapter 1 Deep Representations to Model User ‘Likes’
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    Chapter 2 Submodular Reranking with Multiple Feature Modalities for Image Retrieval
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    Chapter 3 Accurate Scene Text Recognition Based on Recurrent Neural Network
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    Chapter 4 Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery
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    Chapter 5 Can Visual Recognition Benefit from Auxiliary Information in Training?
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    Chapter 6 Low Rank Representation on Grassmann Manifolds
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    Chapter 7 Computer Vision -- ACCV 2014
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    Chapter 8 Age Estimation Based on Complexity-Aware Features
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    Chapter 9 Efficient On-the-fly Category Retrieval Using ConvNets and GPUs
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    Chapter 10 A Latent Clothing Attribute Approach for Human Pose Estimation
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    Chapter 11 NOKMeans: Non-Orthogonal K-means Hashing
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    Chapter 12 Visual Vocabulary with a Semantic Twist
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    Chapter 13 Context Based Re-ranking for Object Retrieval
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    Chapter 14 Adaptive Structural Model for Video Based Pedestrian Detection
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    Chapter 15 Fusion of Auxiliary Imaging Information for Robust, Scalable and Fast 3D Reconstruction
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    Chapter 16 What Visual Attributes Characterize an Object Class?
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    Chapter 17 Accurate Object Detection with Location Relaxation and Regionlets Re-localization
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    Chapter 18 Unsupervised Feature Learning for RGB-D Image Classification
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    Chapter 19 Non-maximum Suppression for Object Detection by Passing Messages Between Windows
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    Chapter 20 Stable Radial Distortion Calibration by Polynomial Matrix Inequalities Programming
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    Chapter 21 Pedestrian Verification for Multi-Camera Detection
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    Chapter 22 Color Photometric Stereo Using a Rainbow Light for Non-Lambertian Multicolored Surfaces
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    Chapter 23 Predicting the Location of “interactees” in Novel Human-Object Interactions
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    Chapter 24 Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation
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    Chapter 25 Imposing Differential Constraints on Radial Distortion Correction
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    Chapter 26 Automatic Shoeprint Retrieval Algorithm for Real Crime Scenes
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    Chapter 27 Lane Detection in Unstructured Environments for Autonomous Navigation Systems
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    Chapter 28 Multiple Stage Residual Model for Accurate Image Classification
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    Chapter 29 Hybrid-Indexing Multi-type Features for Large-Scale Image Search
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    Chapter 30 Look Closely: Learning Exemplar Patches for Recognizing Textiles from Product Images
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    Chapter 31 Action Recognition from a Single Web Image Based on an Ensemble of Pose Experts
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    Chapter 32 Scene Text Recognition and Retrieval for Large Lexicons
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    Chapter 33 Planar Structures from Line Correspondences in a Manhattan World
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    Chapter 34 LBP with Six Intersection Points: Reducing Redundant Information in LBP-TOP for Micro-expression Recognition
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    Chapter 35 Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos
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    Chapter 36 Robust Edge Aware Descriptor for Image Matching
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    Chapter 37 Robust Binary Feature Using the Intensity Order
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    Chapter 38 Minimal Solution for Computing Pairs of Lines in Non-central Cameras
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    Chapter 39 Asymmetric Feature Representation for Object Recognition in Client Server System
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    Chapter 40 Leveraging High Level Visual Information for Matching Images and Captions
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    Chapter 41 Efficient Feature Coding Based on Auto-encoder Network for Image Classification
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    Chapter 42 Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition
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    Chapter 43 Image Representation Learning by Deep Appearance and Spatial Coding
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    Chapter 44 On the Exploration of Joint Attribute Learning for Person Re-identification
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    Chapter 45 Complementary Geometric and Optical Information for Match-Propagation-Based 3D Reconstruction
  47. Altmetric Badge
    Chapter 46 Exploring Image Specific Structured Loss for Image Annotation with Incomplete Labelling
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Mentioned by

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4 patents

Citations

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3 Dimensions

Readers on

mendeley
171 Mendeley
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Title
Computer Vision -- ACCV 2014
Published by
Springer International Publishing, April 2015
DOI 10.1007/978-3-319-16865-4
ISBNs
978-3-31-916864-7, 978-3-31-916865-4
Editors

Cremers, Daniel, Reid, Ian, Saito, Hideo, Yang, Ming-Hsuan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Algeria 1 <1%
Netherlands 1 <1%
Unknown 169 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 17%
Student > Master 20 12%
Student > Bachelor 7 4%
Student > Doctoral Student 3 2%
Researcher 3 2%
Other 6 4%
Unknown 103 60%
Readers by discipline Count As %
Computer Science 44 26%
Engineering 16 9%
Mathematics 2 1%
Arts and Humanities 1 <1%
Chemical Engineering 1 <1%
Other 2 1%
Unknown 105 61%