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Computer Vision – ECCV 2016

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Cover of 'Computer Vision – ECCV 2016'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Curious Robot: Learning Visual Representations via Physical Interactions
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    Chapter 2 Image Co-localization by Mimicking a Good Detector’s Confidence Score Distribution
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    Chapter 3 Facilitating and Exploring Planar Homogeneous Texture for Indoor Scene Understanding
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    Chapter 4 An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
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    Chapter 5 Modeling Context in Referring Expressions
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    Chapter 6 Taxonomy-Regularized Semantic Deep Convolutional Neural Networks
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    Chapter 7 Playing for Data: Ground Truth from Computer Games
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    Chapter 8 Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints
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    Chapter 9 Revisiting Additive Quantization
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    Chapter 10 Single Image Dehazing via Multi-scale Convolutional Neural Networks
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    Chapter 11 Photometric Stereo Under Non-uniform Light Intensities and Exposures
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    Chapter 12 Visual Motif Discovery via First-Person Vision
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    Chapter 13 A Cluster Sampling Method for Image Matting via Sparse Coding
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    Chapter 14 Fundamental Matrices from Moving Objects Using Line Motion Barcodes
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    Chapter 15 Fashion Landmark Detection in the Wild
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    Chapter 16 Human Pose Estimation Using Deep Consensus Voting
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    Chapter 17 Leveraging Visual Question Answering for Image-Caption Ranking
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    Chapter 18 DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
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    Chapter 19 Real-Time Joint Tracking of a Hand Manipulating an Object from RGB-D Input
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    Chapter 20 DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
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    Chapter 21 Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding
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    Chapter 22 Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation
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    Chapter 23 Head Reconstruction from Internet Photos
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    Chapter 24 Support Discrimination Dictionary Learning for Image Classification
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    Chapter 25 Accelerating the Super-Resolution Convolutional Neural Network
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    Chapter 26 Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation
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    Chapter 27 Peak-Piloted Deep Network for Facial Expression Recognition
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    Chapter 28 Is Faster R-CNN Doing Well for Pedestrian Detection?
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    Chapter 29 Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation
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    Chapter 30 Deep Attributes Driven Multi-Camera Person Re-identification
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    Chapter 31 An Occlusion-Resistant Ellipse Detection Method by Joining Coelliptic Arcs
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    Chapter 32 Branching Path Following for Graph Matching
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    Chapter 33 Higher Order Conditional Random Fields in Deep Neural Networks
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    Chapter 34 LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
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    Chapter 35 Stereo Video Deblurring
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    Chapter 36 Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization
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    Chapter 37 Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-Sensitive Similarity
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    Chapter 38 Title Generation for User Generated Videos
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    Chapter 39 Natural Image Matting Using Deep Convolutional Neural Networks
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    Chapter 40 Double-Opponent Vectorial Total Variation
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    Chapter 41 Learning to Count with CNN Boosting
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    Chapter 42 Amodal Instance Segmentation
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    Chapter 43 Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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    Chapter 44 An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem
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    Chapter 45 $$\ell ^{0}$$ ℓ 0 -Sparse Subspace Clustering
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    Chapter 46 Normalized Cut Meets MRF
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    Chapter 47 Fast Global Registration
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    Chapter 48 Polysemous Codes
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    Chapter 49 Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian
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    Chapter 50 Efficient Continuous Relaxations for Dense CRF
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    Chapter 51 Complexity of Discrete Energy Minimization Problems
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    Chapter 52 A Convex Solution to Spatially-Regularized Correspondence Problems
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    Chapter 53 A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance
Overall attention for this book and its chapters
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Mentioned by

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1 news outlet
twitter
7 tweeters
patent
11 patents
wikipedia
1 Wikipedia page

Citations

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27 Dimensions

Readers on

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52 Mendeley
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Title
Computer Vision – ECCV 2016
Published by
Springer International Publishing, September 2016
DOI 10.1007/978-3-319-46475-6
ISBNs
978-3-31-946474-9, 978-3-31-946475-6
Editors

Leibe, Bastian, Matas, Jiri, Sebe, Nicu, Welling, Max

Twitter Demographics

The data shown below were collected from the profiles of 7 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Student > Ph. D. Student 9 17%
Student > Bachelor 7 13%
Researcher 6 12%
Unspecified 2 4%
Other 6 12%
Unknown 11 21%
Readers by discipline Count As %
Computer Science 24 46%
Engineering 8 15%
Unspecified 2 4%
Mathematics 2 4%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 13 25%