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Computer Vision – ECCV 2018 Workshops

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Cover of 'Computer Vision – ECCV 2018 Workshops'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deep Learning for Automated Tagging of Fashion Images
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    Chapter 2 Brand > Logo: Visual Analysis of Fashion Brands
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    Chapter 3 Tiered Deep Similarity Search for Fashion
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    Chapter 4 Deep Fashion Analysis with Feature Map Upsampling and Landmark-Driven Attention
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    Chapter 5 DesIGN: Design Inspiration from Generative Networks
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    Chapter 6 FashionSearchNet: Fashion Search with Attribute Manipulation
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    Chapter 7 CRAFT: Complementary Recommendation by Adversarial Feature Transform
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    Chapter 8 Full-Body High-Resolution Anime Generation with Progressive Structure-Conditional Generative Adversarial Networks
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    Chapter 9 Convolutional Photomosaic Generation via Multi-scale Perceptual Losses
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    Chapter 10 Action Anticipation by Predicting Future Dynamic Images
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    Chapter 11 Predicting Action Tubes
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    Chapter 12 Forecasting Hands and Objects in Future Frames
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    Chapter 13 RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark
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    Chapter 14 Joint Future Semantic and Instance Segmentation Prediction
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    Chapter 15 Context Graph Based Video Frame Prediction Using Locally Guided Objective
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    Chapter 16 Convolutional Neural Network for Trajectory Prediction
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    Chapter 17 Action Alignment from Gaze Cues in Human-Human and Human-Robot Interaction
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    Chapter 18 Group LSTM: Group Trajectory Prediction in Crowded Scenarios
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    Chapter 19 Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization
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    Chapter 20 Deep Normal Estimation for Automatic Shading of Hand-Drawn Characters
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    Chapter 21 3D Surface Reconstruction by Pointillism
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    Chapter 22 Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps
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    Chapter 23 Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence
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    Chapter 24 3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues
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    Chapter 25 Evaluation of CNN-Based Single-Image Depth Estimation Methods
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    Chapter 26 A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes
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    Chapter 27 Learning Structure-from-Motion from Motion
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    Chapter 28 Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis
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    Chapter 29 Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
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    Chapter 30 Deep Learning for Multi-path Error Removal in ToF Sensors
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    Chapter 31 PosIX-GAN: Generating Multiple Poses Using GAN for Pose-Invariant Face Recognition
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    Chapter 32 Semi-supervised Semantic Matching
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    Chapter 33 Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
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    Chapter 34 Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data
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    Chapter 35 Deep Fundamental Matrix Estimation Without Correspondences
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    Chapter 36 High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks
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    Chapter 37 Recent Advances at the Brain-Driven Computer Vision Workshop 2018
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    Chapter 38 CapsuleGAN: Generative Adversarial Capsule Network
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    Chapter 39 Navigational Affordance Cortical Responses Explained by Scene-Parsing Model
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    Chapter 40 A Context-Aware Capsule Network for Multi-label Classification
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    Chapter 41 Brain-Inspired Robust Delineation Operator
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    Chapter 42 Understanding Fake Faces
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    Chapter 43 Characterization of Visual Object Representations in Rat Primary Visual Cortex
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    Chapter 44 Learning Event Representations by Encoding the Temporal Context
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    Chapter 45 Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning
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    Chapter 46 EmoP3D: A Brain Like Pyramidal Deep Neural Network for Emotion Recognition
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    Chapter 47 Subitizing with Variational Autoencoders
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    Chapter 48 The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion
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    Chapter 49 A Deeper Look at 3D Shape Classifiers
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    Chapter 50 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image
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    Chapter 51 Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition
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    Chapter 52 Temporally Consistent Depth Estimation in Videos with Recurrent Architectures
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    Chapter 53 End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization
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    Chapter 54 YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
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    Chapter 55 Increasing the Robustness of CNN-Based Human Body Segmentation in Range Images by Modeling Sensor-Specific Artifacts
Overall attention for this book and its chapters
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Title
Computer Vision – ECCV 2018 Workshops
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-11015-4
ISBNs
978-3-03-011014-7, 978-3-03-011015-4
Editors

Leal-Taixé, Laura, Roth, Stefan

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Student > Ph. D. Student 4 31%
Student > Doctoral Student 1 8%
Researcher 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 9 69%
Engineering 2 15%
Unknown 2 15%