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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 Accurate Vessel Segmentation with Progressive Contrast Enhancement and Canny Refinement
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    Chapter 2 Eigen-PEP for Video Face Recognition
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    Chapter 3 Local Generic Representation for Face Recognition with Single Sample per Person
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    Chapter 4 Unsupervised Image Co-segmentation Based on Cooperative Game
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    Chapter 5 A High Performance CRF Model for Clothes Parsing
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    Chapter 6 Real-Time Head Orientation from a Monocular Camera Using Deep Neural Network
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    Chapter 7 Jointly Learning Dictionaries and Subspace Structure for Video-Based Face Recognition
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    Chapter 8 Visual Salience Learning via Low Rank Matrix Recovery
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    Chapter 9 A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting
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    Chapter 10 Age Estimation by Multi-scale Convolutional Network
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    Chapter 11 Photorealistic Face De-Identification by Aggregating Donors’ Face Components
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    Chapter 12 Which Image Pairs Will Cosegment Well? Predicting Partners for Cosegmentation
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    Chapter 13 Image Restoration via Multi-prior Collaboration
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    Chapter 14 Modeling the Temporality of Saliency
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    Chapter 15 Salient Object Detection Using Window Mask Transferring with Multi-layer Background Contrast
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    Chapter 16 A Patch Aware Multiple Dictionary Framework for Demosaicing
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    Chapter 17 Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild
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    Chapter 18 A Three-Color Coupled Level-Set Algorithm for Simultaneous Multiple Cell Segmentation and Tracking
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    Chapter 19 OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds
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    Chapter 20 Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach
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    Chapter 21 Head Motion Signatures from Egocentric Videos
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    Chapter 22 Improving Saliency Models by Predicting Human Fixation Patches
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    Chapter 23 Fast Super-Resolution via Dense Local Training and Inverse Regressor Search
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    Chapter 24 PSPGC: Part-Based Seeds for Parametric Graph-Cuts
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    Chapter 25 Multi-cue Mid-level Grouping
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    Chapter 26 Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation
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    Chapter 27 Learning One-Shot Exemplar SVM from the Web for Face Verification
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    Chapter 28 Unsupervised Segmentation of RGB-D Images
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    Chapter 29 Class-Driven Color Transformation for Semantic Labeling
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    Chapter 30 Discovering Harmony: A Hierarchical Colour Harmony Model for Aesthetics Assessment
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    Chapter 31 Deconstructing Binary Classifiers in Computer Vision
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    Chapter 32 Effective Drusen Segmentation from Fundus Images for Age-Related Macular Degeneration Screening
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    Chapter 33 Recognizing People by Their Personal Aesthetics: A Statistical Multi-level Approach
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    Chapter 34 FASA: Fast, Accurate, and Size-Aware Salient Object Detection
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    Chapter 35 Gesture Modeling by Hanklet-Based Hidden Markov Model
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    Chapter 36 A Novel Face Spoofing Detection Method Based on Gaze Estimation
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    Chapter 37 Hybrid Euclidean-and-Riemannian Metric Learning for Image Set Classification
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    Chapter 38 Size and Location Matter: A New Baseline for Salient Object Detection
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    Chapter 39 Learning Hierarchical Feature Representation in Depth Image
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    Chapter 40 Computer Vision -- ACCV 2014
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    Chapter 41 Transductive Transfer Machine
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    Chapter 42 Fully Automatic Segmentation of Hip CT Images via Random Forest Regression-Based Atlas Selection and Optimal Graph Search-Based Surface Detection
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    Chapter 43 Optimal Transportation for Example-Guided Color Transfer
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    Chapter 44 Evaluation of Discriminative Models for the Reconstruction of Hand-Torn Documents
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    Chapter 45 Hand Segmentation with Structured Convolutional Learning
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    Chapter 46 Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment
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Title
Computer Vision -- ACCV 2014
Published by
Springer International Publishing, April 2015
DOI 10.1007/978-3-319-16811-1
ISBNs
978-3-31-916810-4, 978-3-31-916811-1
Editors

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

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Student > Bachelor 2 13%
Student > Master 1 7%
Unknown 6 40%
Readers by discipline Count As %
Computer Science 7 47%
Biochemistry, Genetics and Molecular Biology 1 7%
Earth and Planetary Sciences 1 7%
Unknown 6 40%