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Computer Vision – ACCV 2018

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Cover of 'Computer Vision – ACCV 2018'

Table of Contents

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    Book Overview
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    Chapter 1 Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation
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    Chapter 2 Pioneer Networks: Progressively Growing Generative Autoencoder
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    Chapter 3 Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
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    Chapter 4 Cross Connected Network for Efficient Image Recognition
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    Chapter 5 Answer Distillation for Visual Question Answering
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    Chapter 6 Spiral-Net with F1-Based Optimization for Image-Based Crack Detection
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    Chapter 7 Flex-Convolution
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    Chapter 8 Extreme Reverse Projection Learning for Zero-Shot Recognition
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    Chapter 9 A Defect Inspection Method for Machine Vision Using Defect Probability Image with Deep Convolutional Neural Network
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    Chapter 10 3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds
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    Chapter 11 Minutiae-Based Gender Estimation for Full and Partial Fingerprints of Arbitrary Size and Shape
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    Chapter 12 Simultaneous Face Detection and Head Pose Estimation: A Fast and Unified Framework
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    Chapter 13 Progressive Feature Fusion Network for Realistic Image Dehazing
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    Chapter 14 Semi-supervised Learning for Face Sketch Synthesis in the Wild
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    Chapter 15 Evolvement Constrained Adversarial Learning for Video Style Transfer
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    Chapter 16 An Unsupervised Deep Learning Framework via Integrated Optimization of Representation Learning and GMM-Based Modeling
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    Chapter 17 Recovering Affine Features from Orientation- and Scale-Invariant Ones
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    Chapter 18 Totally Looks Like - How Humans Compare, Compared to Machines
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    Chapter 19 Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs Using Multi-scale and Conditional Adversarial Network
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    Chapter 20 GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
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    Chapter 21 Multi-level Sequence GAN for Group Activity Recognition
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    Chapter 22 Spatio-Temporal Fusion Networks for Action Recognition
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    Chapter 23 Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
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    Chapter 24 Face Completion with Semantic Knowledge and Collaborative Adversarial Learning
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    Chapter 25 Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
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    Chapter 26 Matchable Image Retrieval by Learning from Surface Reconstruction
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    Chapter 27 Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts
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    Chapter 28 VIENA $$^2$$ : A Driving Anticipation Dataset
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    Chapter 29 Multilevel Collaborative Attention Network for Person Search
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    Chapter 30 Enhancing Perceptual Attributes with Bayesian Style Generation
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    Chapter 31 Deep Convolutional Compressed Sensing for LiDAR Depth Completion
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    Chapter 32 Learning for Video Super-Resolution Through HR Optical Flow Estimation
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    Chapter 33 Deep Multiple Instance Learning for Zero-Shot Image Tagging
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    Chapter 34 Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
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    Chapter 35 Vision-Based Freezing of Gait Detection with Anatomic Patch Based Representation
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    Chapter 36 Fast Video Shot Transition Localization with Deep Structured Models
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    Chapter 37 Traversing Latent Space Using Decision Ferns
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    Chapter 38 Parallel Convolutional Networks for Image Recognition via a Discriminator
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    Chapter 39 ENG: End-to-End Neural Geometry for Robust Depth and Pose Estimation Using CNNs
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    Chapter 40 Multi-scale Adaptive Structure Network for Human Pose Estimation from Color Images
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    Chapter 41 Full Explicit Consistency Constraints in Uncalibrated Multiple Homography Estimation
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    Chapter 42 A New Method for Computing the Principal Point of an Optical Sensor by Means of Sphere Images
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    Chapter 43 NightOwls : A Pedestrians at Night Dataset
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    Chapter 44 Multi-view Consensus CNN for 3D Facial Landmark Placement
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Title
Computer Vision – ACCV 2018
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-20887-5
ISBNs
978-3-03-020886-8, 978-3-03-020887-5
Editors

Jawahar, C. V., Li, Hongdong, Mori, Greg, Schindler, Konrad

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Doctoral Student 1 13%
Unknown 5 63%
Readers by discipline Count As %
Engineering 2 25%
Computer Science 1 13%
Unknown 5 63%