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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 The Sixth Visual Object Tracking VOT2018 Challenge Results
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    Chapter 2 On the Optimization of Advanced DCF-Trackers
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    Chapter 3 Channel Pruning for Visual Tracking
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    Chapter 4 WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking
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    Chapter 5 A Memory Model Based on the Siamese Network for Long-Term Tracking
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    Chapter 6 Multiple Context Features in Siamese Networks for Visual Object Tracking
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    Chapter 7 Towards a Better Match in Siamese Network Based Visual Object Tracker
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    Chapter 8 How to Make an RGBD Tracker?
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    Chapter 9 Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints
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    Chapter 10 Semantic Segmentation of Fisheye Images
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    Chapter 11 Complex-YOLO: An Euler-Region-Proposal for Real-Time 3D Object Detection on Point Clouds
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    Chapter 12 It’s Not All About Size: On the Role of Data Properties in Pedestrian Detection
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    Chapter 13 Real-Time Point Cloud Alignment for Vehicle Localization in a High Resolution 3D Map
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    Chapter 14 Exploiting Single Image Depth Prediction for Mono-stixel Estimation
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    Chapter 15 EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
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    Chapter 16 Scale Drift Correction of Camera Geo-Localization Using Geo-Tagged Images
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    Chapter 17 Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution?
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    Chapter 18 Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?
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    Chapter 19 Deep Modular Network Architecture for Depth Estimation from Single Indoor Images
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    Chapter 20 Generative Adversarial Networks for Unsupervised Monocular Depth Prediction
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    Chapter 21 Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation
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    Chapter 22 Robust Structured Light System Against Subsurface Scattering Effects Achieved by CNN-Based Pattern Detection and Decoding Algorithm
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    Chapter 23 Robust 3D Pig Measurement in Pig Farm
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    Chapter 24 SConE: Siamese Constellation Embedding Descriptor for Image Matching
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    Chapter 25 RGB-D SLAM Based Incremental Cuboid Modeling
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    Chapter 26 Semi-independent Stereo Visual Odometry for Different Field of View Cameras
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    Chapter 27 Improving Thin Structures in Surface Reconstruction from Sparse Point Cloud
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    Chapter 28 Polygonal Reconstruction of Building Interiors from Cluttered Pointclouds
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    Chapter 29 Paired 3D Model Generation with Conditional Generative Adversarial Networks
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    Chapter 30 Predicting Muscle Activity and Joint Angle from Skin Shape
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    Chapter 31 Modeling Camera Effects to Improve Visual Learning from Synthetic Data
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    Chapter 32 Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions
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    Chapter 33 Exploring Bias in Primate Face Detection and Recognition
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    Chapter 34 Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
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    Chapter 35 Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-task Convolution Neural Network Approach
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    Chapter 36 A Summary of the 4th International Workshop on Recovering 6D Object Pose
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    Chapter 37 Image-to-Voxel Model Translation with Conditional Adversarial Networks
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    Chapter 38 3D Pose Estimation for Fine-Grained Object Categories
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    Chapter 39 Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices
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    Chapter 40 Plane-Based Humanoid Robot Navigation and Object Model Construction for Grasping
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    Chapter 41 Category-Level 6D Object Pose Recovery in Depth Images
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    Chapter 42 On Pre-trained Image Features and Synthetic Images for Deep Learning
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    Chapter 43 Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images
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    Chapter 44 Occlusion Resistant Object Rotation Regression from Point Cloud Segments
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    Chapter 45 Camera Tracking for SLAM in Deformable Maps
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    Chapter 46 RPNet: An End-to-End Network for Relative Camera Pose Estimation
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Computer Vision – ECCV 2018 Workshops
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-11009-3
978-3-03-011008-6, 978-3-03-011009-3

Leal-Taixé, Laura, Roth, Stefan

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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 4 25%
Researcher 2 13%
Student > Postgraduate 2 13%
Student > Ph. D. Student 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Computer Science 4 25%
Engineering 3 19%
Neuroscience 1 6%
Unknown 8 50%