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Computer Vision – ECCV 2016

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Table of Contents

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    Book Overview
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    Chapter 1 Generating Visual Explanations
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    Chapter 2 Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps
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    Chapter 3 Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons
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    Chapter 4 Manhattan-World Urban Reconstruction from Point Clouds
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    Chapter 5 Computer Vision – ECCV 2016
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    Chapter 6 Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests
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    Chapter 7 Can We Jointly Register and Reconstruct Creased Surfaces by Shape-from-Template Accurately?
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    Chapter 8 Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes
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    Chapter 9 Connectionist Temporal Modeling for Weakly Supervised Action Labeling
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    Chapter 10 Deep Joint Image Filtering
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    Chapter 11 Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation
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    Chapter 12 A Multi-scale CNN for Affordance Segmentation in RGB Images
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    Chapter 13 Hierarchical Dynamic Parsing and Encoding for Action Recognition
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    Chapter 14 Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation
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    Chapter 15 A Diagram is Worth a Dozen Images
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    Chapter 16 Automatic Attribute Discovery with Neural Activations
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    Chapter 17 “What Happens If...” Learning to Predict the Effect of Forces in Images
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    Chapter 18 View Synthesis by Appearance Flow
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    Chapter 19 Top-Down Learning for Structured Labeling with Convolutional Pseudoprior
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    Chapter 20 Generative Image Modeling Using Style and Structure Adversarial Networks
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    Chapter 21 Joint Learning of Semantic and Latent Attributes
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    Chapter 22 A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
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    Chapter 23 Deep Specialized Network for Illuminant Estimation
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    Chapter 24 Weakly-Supervised Semantic Segmentation Using Motion Cues
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    Chapter 25 Human-in-the-Loop Person Re-identification
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    Chapter 26 Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects
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    Chapter 27 Estimation of Human Body Shape in Motion with Wide Clothing
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    Chapter 28 A Shape-Based Approach for Salient Object Detection Using Deep Learning
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    Chapter 29 Fast Optical Flow Using Dense Inverse Search
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    Chapter 30 Global Registration of 3D Point Sets via LRS Decomposition
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    Chapter 31 Recognition from Hand Cameras: A Revisit with Deep Learning
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    Chapter 32 XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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    Chapter 33 Top-Down Neural Attention by Excitation Backprop
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    Chapter 34 Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network
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    Chapter 35 Learning Representations for Automatic Colorization
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    Chapter 36 Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
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    Chapter 37 Learning Without Forgetting
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    Chapter 38 Identity Mappings in Deep Residual Networks
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    Chapter 39 Deep Networks with Stochastic Depth
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    Chapter 40 Less Is More: Towards Compact CNNs
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    Chapter 41 Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints
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    Chapter 42 Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
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    Chapter 43 Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples
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    Chapter 44 Chained Predictions Using Convolutional Neural Networks
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    Chapter 45 Multi-region Two-Stream R-CNN for Action Detection
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    Chapter 46 Semantic Co-segmentation in Videos
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    Chapter 47 Attribute2Image: Conditional Image Generation from Visual Attributes
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    Chapter 48 Modeling Context Between Objects for Referring Expression Understanding
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    Chapter 49 Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance
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    Chapter 50 Saliency Detection with Recurrent Fully Convolutional Networks
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    Chapter 51 Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
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    Chapter 52 Temporal Model Adaptation for Person Re-identification
Overall attention for this book and its chapters
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Mentioned by

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6 tweeters
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8 patents

Citations

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Title
Computer Vision – ECCV 2016
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-46493-0
ISBNs
978-3-31-946492-3, 978-3-31-946493-0
Editors

Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 1,049 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1049 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 2%
Student > Master 15 1%
Student > Bachelor 10 <1%
Student > Doctoral Student 5 <1%
Researcher 4 <1%
Other 10 <1%
Unknown 988 94%
Readers by discipline Count As %
Computer Science 39 4%
Engineering 14 1%
Nursing and Health Professions 1 <1%
Mathematics 1 <1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 5 <1%
Unknown 988 94%