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Computer Vision – ECCV 2018 Workshops

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Cover of 'Computer Vision – ECCV 2018 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning for Assistive Computer Vision
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    Chapter 2 Recovering 6D Object Pose: A Review and Multi-modal Analysis
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    Chapter 3 Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data Set
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    Chapter 4 Vision Augmented Robot Feeding
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    Chapter 5 Human-Computer Interaction Approaches for the Assessment and the Practice of the Cognitive Capabilities of Elderly People
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    Chapter 6 Analysis of the Effect of Sensors for End-to-End Machine Learning Odometry
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    Chapter 7 RAMCIP Robot: A Personal Robotic Assistant; Demonstration of a Complete Framework
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    Chapter 8 An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls
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    Chapter 9 ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information
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    Chapter 10 Comparing Methods for Assessment of Facial Dynamics in Patients with Major Neurocognitive Disorders
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    Chapter 11 Deep Execution Monitor for Robot Assistive Tasks
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    Chapter 12 Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool
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    Chapter 13 Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments
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    Chapter 14 Hand-Tremor Frequency Estimation in Videos
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    Chapter 15 DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression
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    Chapter 16 Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton
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    Chapter 17 Estimating 2D Multi-hand Poses from Single Depth Images
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    Chapter 18 Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition
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    Chapter 19 Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
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    Chapter 20 HANDS18: Methods, Techniques and Applications for Hand Observation
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    Chapter 21 Automatic Classification of Low-Resolution Chromosomal Images
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    Chapter 22 Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation
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    Chapter 23 Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis
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    Chapter 24 Multi-level Activation for Segmentation of Hierarchically-Nested Classes
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    Chapter 25 Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
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    Chapter 26 2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor
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    Chapter 27 Improved Dictionary Learning with Enriched Information for Biomedical Images
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    Chapter 28 Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data
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    Chapter 29 Instance Segmentation of Neural Cells
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    Chapter 30 Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images
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    Chapter 31 Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images
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    Chapter 32 A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology
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    Chapter 33 A Benchmark for Epithelial Cell Tracking
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    Chapter 34 Automatic Fusion of Segmentation and Tracking Labels
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    Chapter 35 Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics
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    Chapter 36 Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps
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    Chapter 37 Pre-training on Grayscale ImageNet Improves Medical Image Classification
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    Chapter 38 Workshop on Interactive and Adaptive Learning in an Open World
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    Chapter 39 Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation
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    Chapter 40 Learning to Learn from Web Data Through Deep Semantic Embeddings
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    Chapter 41 Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods
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    Chapter 42 A Structured Listwise Approach to Learning to Rank for Image Tagging
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    Chapter 43 Visually Indicated Sound Generation by Perceptually Optimized Classification
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    Chapter 44 CentralNet: A Multilayer Approach for Multimodal Fusion
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    Chapter 45 Where and What Am I Eating? Image-Based Food Menu Recognition
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    Chapter 46 ThermalGAN: Multimodal Color-to-Thermal Image Translation for Person Re-identification in Multispectral Dataset
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    Chapter 47 Visual-Semantic Alignment Across Domains Using a Semi-Supervised Approach
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    Chapter 48 Generalized Bayesian Canonical Correlation Analysis with Missing Modalities
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    Chapter 49 Unpaired Thermal to Visible Spectrum Transfer Using Adversarial Training
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    Chapter 50 Devon: Deformable Volume Network for Learning Optical Flow
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    Chapter 51 Using Phase Instead of Optical Flow for Action Recognition
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    Chapter 52 Event Extraction Using Transportation of Temporal Optical Flow Fields
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    Chapter 53 A Simple and Effective Fusion Approach for Multi-frame Optical Flow Estimation
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    Chapter 54 Unsupervised Event-Based Optical Flow Using Motion Compensation
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    Chapter 55 MoA-Net: Self-supervised Motion Segmentation
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    Chapter 56 “What Is Optical Flow For?”: Workshop Results and Summary
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Title
Computer Vision – ECCV 2018 Workshops
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-11024-6
ISBNs
978-3-03-011023-9, 978-3-03-011024-6
Editors

Leal-Taixé, Laura, Roth, Stefan

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X Demographics

The data shown below were collected from the profiles of 13 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 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 > Bachelor 2 25%
Student > Postgraduate 1 13%
Unknown 5 63%
Readers by discipline Count As %
Engineering 2 25%
Computer Science 1 13%
Unknown 5 63%