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Computer Vision – ACCV 2016

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Table of Contents

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    Book Overview
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    Chapter 1 Layered Scene Reconstruction from Multiple Light Field Camera Views
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    Chapter 2 A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields
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    Chapter 3 Radial Lens Distortion Correction Using Convolutional Neural Networks Trained with Synthesized Images
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    Chapter 4 Ultrasound Speckle Reduction via $$L_{0}$$ Minimization
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    Chapter 5 A Variational Model for Intrinsic Light Field Decomposition
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    Chapter 6 Dense Depth-Map Estimation and Geometry Inference from Light Fields via Global Optimization
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    Chapter 7 Direct and Global Component Separation from a Single Image Using Basis Representation
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    Chapter 8 Ultra-Shallow DoF Imaging Using Faced Paraboloidal Mirrors
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    Chapter 9 ConvNet-Based Depth Estimation, Reflection Separation and Deblurring of Plenoptic Images
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    Chapter 10 Learning a Mixture of Deep Networks for Single Image Super-Resolution
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    Chapter 11 A Fast Blind Spatially-Varying Motion Deblurring Algorithm with Camera Poses Estimation
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    Chapter 12 Removing Shadows from Images of Documents
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    Chapter 13 Video Enhancement via Super-Resolution Using Deep Quality Transfer Network
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    Chapter 14 Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling
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    Chapter 15 Illumination-Recovered Pose Normalization for Unconstrained Face Recognition
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    Chapter 16 Local Fractional Order Derivative Vector Quantization Pattern for Face Recognition
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    Chapter 17 Learning Facial Point Response for Alignment by Purely Convolutional Network
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    Chapter 18 Random Forest with Suppressed Leaves for Hough Voting
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    Chapter 19 Sign-Correlation Partition Based on Global Supervised Descent Method for Face Alignment
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    Chapter 20 Deep Video Code for Efficient Face Video Retrieval
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    Chapter 21 From Face Images and Attributes to Attributes
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    Chapter 22 Learning with Ambiguous Label Distribution for Apparent Age Estimation
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    Chapter 23 Prototype Discriminative Learning for Face Image Set Classification
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    Chapter 24 Collaborative Learning Network for Face Attribute Prediction
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    Chapter 25 Facial Expression-Aware Face Frontalization
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    Chapter 26 Eigen-Aging Reference Coding for Cross-Age Face Verification and Retrieval
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    Chapter 27 Consistent Sparse Representation for Video-Based Face Recognition
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    Chapter 28 Unconstrained Gaze Estimation Using Random Forest Regression Voting
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    Chapter 29 A Novel Time Series Kernel for Sequences Generated by LTI Systems
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    Chapter 30 Hand Pose Regression via a Classification-Guided Approach
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    Chapter 31 Who’s that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images
Attention for Chapter 13: Video Enhancement via Super-Resolution Using Deep Quality Transfer Network
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Chapter title
Video Enhancement via Super-Resolution Using Deep Quality Transfer Network
Chapter number 13
Book title
Computer Vision – ACCV 2016
Published by
Springer, Cham, November 2016
DOI 10.1007/978-3-319-54187-7_13
Book ISBNs
978-3-31-954186-0, 978-3-31-954187-7
Authors

Pai-Heng Hsiao, Ping-Lin Chang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Engineering 1 17%