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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 RankGAN: A Maximum Margin Ranking GAN for Generating Faces
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    Chapter 2 Zero-Shot Facial Expression Recognition with Multi-label Label Propagation
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    Chapter 3 Believe It or Not, We Know What You Are Looking At!
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    Chapter 4 COSONet: Compact Second-Order Network for Video Face Recognition
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    Chapter 5 Visual Re-ranking with Natural Language Understanding for Text Spotting
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    Chapter 6 TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network
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    Chapter 7 Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
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    Chapter 8 Understanding Individual Decisions of CNNs via Contrastive Backpropagation
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    Chapter 9 Say Yes to the Dress: Shape and Style Transfer Using Conditional GANs
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    Chapter 10 Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery
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    Chapter 11 Panorama from Representative Frames of Unconstrained Videos Using DiffeoMeshes
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    Chapter 12 Robust and Efficient Ellipse Fitting Using Tangent Chord Distance
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    Chapter 13 Knowledge Distillation with Feature Maps for Image Classification
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    Chapter 14 Bidirectional Conditional Generative Adversarial Networks
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    Chapter 15 Cross-Resolution Person Re-identification with Deep Antithetical Learning
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    Chapter 16 A Temporally-Aware Interpolation Network for Video Frame Inpainting
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    Chapter 17 Linear Solution to the Minimal Absolute Pose Rolling Shutter Problem
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    Chapter 18 Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera
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    Chapter 19 Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation
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    Chapter 20 Deep Manifold Alignment for Mid-Grain Sketch Based Image Retrieval
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    Chapter 21 Visual Graphs from Motion (VGfM): Scene Understanding with Object Geometry Reasoning
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    Chapter 22 Deep Semantic Matching with Foreground Detection and Cycle-Consistency
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    Chapter 23 Hidden Two-Stream Convolutional Networks for Action Recognition
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    Chapter 24 A Multi-purpose Convolutional Neural Network for Simultaneous Super-Resolution and High Dynamic Range Image Reconstruction
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    Chapter 25 ITM-CNN: Learning the Inverse Tone Mapping from Low Dynamic Range Video to High Dynamic Range Displays Using Convolutional Neural Networks
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    Chapter 26 Structure Aware SLAM Using Quadrics and Planes
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    Chapter 27 Maintaining Natural Image Statistics with the Contextual Loss
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    Chapter 28 U-DADA: Unsupervised Deep Action Domain Adaptation
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    Chapter 29 Artistic Object Recognition by Unsupervised Style Adaptation
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    Chapter 30 iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects
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    Chapter 31 Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes
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    Chapter 32 Combination of Two Fully Convolutional Neural Networks for Robust Binarization
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    Chapter 33 Deep Depth from Focus
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    Chapter 34 Random Temporal Skipping for Multirate Video Analysis
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    Chapter 35 Tiny People Pose
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    Chapter 36 Pose Estimation of a Single Circle Using Default Intrinsic Calibration
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    Chapter 37 Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions
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    Chapter 38 Low-Resolution Face Recognition
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    Chapter 39 GANomaly: Semi-supervised Anomaly Detection via Adversarial Training
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    Chapter 40 Deep Object Co-segmentation
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    Chapter 41 From Same Photo: Cheating on Visual Kinship Challenges
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    Chapter 42 Class-Agnostic Counting
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    Chapter 43 A Computational Camera with Programmable Optics for Snapshot High-Resolution Multispectral Imaging
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    Chapter 44 Unsupervised Intuitive Physics from Visual Observations
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    Chapter 45 Deep Mixture of MRFs for Human Pose Estimation
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Title
Computer Vision – ACCV 2018
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-20893-6
ISBNs
978-3-03-020892-9, 978-3-03-020893-6
Editors

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

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X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Student > Bachelor 2 13%
Researcher 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Computer Science 8 50%
Engineering 2 13%
Decision Sciences 1 6%
Unknown 5 31%