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Computer Vision – ACCV 2018 Workshops

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Cover of 'Computer Vision – ACCV 2018 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels
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    Chapter 2 Localizing the Gaze Target of a Crowd of People
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    Chapter 3 A Thumb Tip Wearable Device Consisting of Multiple Cameras to Measure Thumb Posture
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    Chapter 4 Summarizing Videos with Attention
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    Chapter 5 Gait-Based Age Estimation Using a DenseNet
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    Chapter 6 Human Action Recognition via Body Part Region Segmented Dense Trajectories
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    Chapter 7 Let AI Clothe You: Diversified Fashion Generation
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    Chapter 8 Word-Conditioned Image Style Transfer
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    Chapter 9 Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer
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    Chapter 10 Paying Attention to Style: Recognizing Photo Styles with Convolutional Attentional Units
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    Chapter 11 E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text
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    Chapter 12 An Invoice Reading System Using a Graph Convolutional Network
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    Chapter 13 Reading Industrial Inspection Sheets by Inferring Visual Relations
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    Chapter 14 Learning to Clean: A GAN Perspective
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    Chapter 15 Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language
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    Chapter 16 Simultaneous Recognition of Horizontal and Vertical Text in Natural Images
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    Chapter 17 Automatic Retinal and Choroidal Boundary Segmentation in OCT Images Using Patch-Based Supervised Machine Learning Methods
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    Chapter 18 Discrimination Ability of Glaucoma via DCNNs Models from Ultra-Wide Angle Fundus Images Comparing Either Full or Confined to the Optic Disc
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    Chapter 19 Synthesizing New Retinal Symptom Images by Multiple Generative Models
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    Chapter 20 Retinal Detachment Screening with Ensembles of Neural Network Models
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    Chapter 21 Recent Developments of Retinal Image Analysis in Alzheimer’s Disease and Potential AI Applications
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    Chapter 22 Intermediate Goals in Deep Learning for Retinal Image Analysis
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    Chapter 23 Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning
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    Chapter 24 Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis
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    Chapter 25 AI-based AMD Analysis: A Review of Recent Progress
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    Chapter 26 Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs
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    Chapter 27 OCT Segmentation via Deep Learning: A Review of Recent Work
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    Chapter 28 Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
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    Chapter 29 LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
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    Chapter 30 Reaching Behind Specular Highlights by Registration of Two Images of Broiler Viscera
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    Chapter 31 Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data
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    Chapter 32 Integration of Driver Behavior into Emotion Recognition Systems: A Preliminary Study on Steering Wheel and Vehicle Acceleration
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    Chapter 33 Prediction Based Deep Autoencoding Model for Anomaly Detection
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    Chapter 34 Multimodal Sensor Fusion in Single Thermal Image Super-Resolution
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    Chapter 35 PCA-RECT: An Energy-Efficient Object Detection Approach for Event Cameras
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    Chapter 36 Unconstrained Iris Segmentation Using Convolutional Neural Networks
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    Chapter 37 Simultaneous Multi-view Relative Pose Estimation and 3D Reconstruction from Planar Regions
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    Chapter 38 WNet: Joint Multiple Head Detection and Head Pose Estimation from a Spectator Crowd Image
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    Chapter 39 Markerless Augmented Advertising for Sports Videos
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    Chapter 40 Visual Siamese Clustering for Cosmetic Product Recommendation
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    Chapter 41 Multimodal Deep Neural Networks Based Ensemble Learning for X-Ray Object Recognition
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Title
Computer Vision – ACCV 2018 Workshops
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-21074-8
ISBNs
978-3-03-021073-1, 978-3-03-021074-8
Editors

Carneiro, Gustavo, You, Shaodi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Researcher 2 20%
Student > Ph. D. Student 1 10%
Student > Bachelor 1 10%
Professor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 7 70%
Engineering 1 10%
Unknown 2 20%