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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 Real-Time Embedded Computer Vision on UAVs
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    Chapter 2 Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation
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    Chapter 3 Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning
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    Chapter 4 SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data
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    Chapter 5 Aerial GANeration: Towards Realistic Data Augmentation Using Conditional GANs
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    Chapter 6 Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV Flight
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    Chapter 7 ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery
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    Chapter 8 Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones
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    Chapter 9 UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
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    Chapter 10 ChangeNet: A Deep Learning Architecture for Visual Change Detection
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    Chapter 11 DeeSIL: Deep-Shallow Incremental Learning
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    Chapter 12 Dynamic Adaptation on Non-stationary Visual Domains
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    Chapter 13 Domain Adaptive Semantic Segmentation Through Structure Enhancement
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    Chapter 14 Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks
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    Chapter 15 Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations
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    Chapter 16 Model Selection for Generalized Zero-Shot Learning
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    Chapter 17 Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking
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    Chapter 18 Enhanced Two-Stage Multi-person Pose Estimation
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    Chapter 19 Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network
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    Chapter 20 A Top-Down Approach to Articulated Human Pose Estimation and Tracking
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    Chapter 21 Deep Fusion Network for Splicing Forgery Localization
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    Chapter 22 Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields
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    Chapter 23 Bridging Machine Learning and Cryptography in Defence Against Adversarial Attacks
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    Chapter 24 Bidirectional Convolutional LSTM for the Detection of Violence in Videos
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    Chapter 25 Are You Tampering with My Data?
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    Chapter 26 Adversarial Examples Detection in Features Distance Spaces
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    Chapter 27 Give Ear to My Face: Modelling Multimodal Attention to Social Interactions
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    Chapter 28 Investigating Depth Domain Adaptation for Efficient Human Pose Estimation
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    Chapter 29 Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising Autoencoders
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    Chapter 30 Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting Loss
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    Chapter 31 A Semi-supervised Data Augmentation Approach Using 3D Graphical Engines
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    Chapter 32 Towards Learning a Realistic Rendering of Human Behavior
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    Chapter 33 Human Action Recognition Based on Temporal Pose CNN and Multi-dimensional Fusion
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    Chapter 34 Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation Coefficients
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    Chapter 35 Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model
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    Chapter 36 Photorealistic Facial Synthesis in the Dimensional Affect Space
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    Chapter 37 Generating Synthetic Video Sequences by Explicitly Modeling Object Motion
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    Chapter 38 A Semi-supervised Deep Generative Model for Human Body Analysis
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    Chapter 39 Role of Group Level Affect to Find the Most Influential Person in Images
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    Chapter 40 Residual Stacked RNNs for Action Recognition
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    Chapter 41 Semantically Selective Augmentation for Deep Compact Person Re-Identification
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    Chapter 42 Recognizing People in Blind Spots Based on Surrounding Behavior
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    Chapter 43 Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information
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    Chapter 44 Human-Centric Visual Relation Segmentation Using Mask R-CNN and VTransE
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    Chapter 45 Learning Spatiotemporal 3D Convolution with Video Order Self-supervision
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    Chapter 46 What Was Monet Seeing While Painting? Translating Artworks to Photo-Realistic Images
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    Chapter 47 Saliency-Driven Variational Retargeting for Historical Maps
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    Chapter 48 Deep Transfer Learning for Art Classification Problems
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    Chapter 49 Reflecting on How Artworks Are Processed and Analyzed by Computer Vision
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    Chapter 50 Seeing the World Through Machinic Eyes: Reflections on Computer Vision in the Arts
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    Chapter 51 A Digital Tool to Understand the Pictorial Procedures of 17 $$^\mathrm{th}$$ th Century Realism
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    Chapter 52 How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval
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    Chapter 53 Weakly Supervised Object Detection in Artworks
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    Chapter 54 Images of Image Machines. Visual Interpretability in Computer Vision for Art
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 10.1007/978-3-030-11012-3
ISBNs
978-3-03-011011-6, 978-3-03-011012-3
Editors

Leal-Taixé, Laura, Roth, Stefan

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Student > Master 3 18%
Student > Bachelor 2 12%
Researcher 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 4 24%
Readers by discipline Count As %
Computer Science 5 29%
Engineering 5 29%
Chemistry 1 6%
Arts and Humanities 1 6%
Unknown 5 29%