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Computer Vision – ECCV 2016

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
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    Chapter 2 SSD: Single Shot MultiBox Detector
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    Chapter 3 A Recurrent Encoder-Decoder Network for Sequential Face Alignment
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    Chapter 4 Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks
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    Chapter 5 Learning to Refine Object Segments
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    Chapter 6 Deep Automatic Portrait Matting
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    Chapter 7 Segmentation from Natural Language Expressions
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    Chapter 8 Semantic Object Parsing with Graph LSTM
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    Chapter 9 SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation
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    Chapter 10 Towards Viewpoint Invariant 3D Human Pose Estimation
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    Chapter 11 Person Re-Identification by Unsupervised \(\ell _1\) Graph Learning
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    Chapter 12 Deep Learning the City: Quantifying Urban Perception at a Global Scale
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    Chapter 13 Computer Vision – ECCV 2016
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    Chapter 14 Eigen Appearance Maps of Dynamic Shapes
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    Chapter 15 Learnable Histogram: Statistical Context Features for Deep Neural Networks
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    Chapter 16 Pedestrian Behavior Understanding and Prediction with Deep Neural Networks
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    Chapter 17 Real-Time RGB-D Activity Prediction by Soft Regression
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    Chapter 18 A 3D Morphable Eye Region Model for Gaze Estimation
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    Chapter 19 Foreground Segmentation via Dynamic Tree-Structured Sparse RPCA
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    Chapter 20 Contextual Priming and Feedback for Faster R-CNN
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    Chapter 21 Efficient Multi-view Surface Refinement with Adaptive Resolution Control
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    Chapter 22 Gaussian Process Density Counting from Weak Supervision
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    Chapter 23 Region-Based Semantic Segmentation with End-to-End Training
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    Chapter 24 Fast 6D Pose Estimation from a Monocular Image Using Hierarchical Pose Trees
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    Chapter 25 Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
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    Chapter 26 A Software Platform for Manipulating the Camera Imaging Pipeline
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    Chapter 27 A Benchmark and Simulator for UAV Tracking
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    Chapter 28 Scene Depth Profiling Using Helmholtz Stereopsis
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    Chapter 29 Projective Bundle Adjustment from Arbitrary Initialization Using the Variable Projection Method
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    Chapter 30 Localizing and Orienting Street Views Using Overhead Imagery
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    Chapter 31 Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
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    Chapter 32 Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification
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    Chapter 33 DOC: Deep OCclusion Estimation from a Single Image
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    Chapter 34 RepMatch: Robust Feature Matching and Pose for Reconstructing Modern Cities
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    Chapter 35 Convolutional Oriented Boundaries
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    Chapter 36 Superpixel Convolutional Networks Using Bilateral Inceptions
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    Chapter 37 Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies
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    Chapter 38 Building Dual-Domain Representations for Compression Artifacts Reduction
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    Chapter 39 Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
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    Chapter 40 Photo Aesthetics Ranking Network with Attributes and Content Adaptation
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    Chapter 41 SDF-2-SDF: Highly Accurate 3D Object Reconstruction
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    Chapter 42 Knowledge Transfer for Scene-Specific Motion Prediction
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    Chapter 43 Weakly Supervised Localization Using Deep Feature Maps
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    Chapter 44 Embedding Deep Metric for Person Re-identification: A Study Against Large Variations
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    Chapter 45 Learning to Track at 100 FPS with Deep Regression Networks
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    Chapter 46 Matching Handwritten Document Images
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    Chapter 47 Semantic Clustering for Robust Fine-Grained Scene Recognition
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    Chapter 48 Ambient Sound Provides Supervision for Visual Learning
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    Chapter 49 Grounding of Textual Phrases in Images by Reconstruction
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    Chapter 50 Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations
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    Chapter 51 Visual Relationship Detection with Language Priors
Attention for Chapter 17: Real-Time RGB-D Activity Prediction by Soft Regression
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Chapter title
Real-Time RGB-D Activity Prediction by Soft Regression
Chapter number 17
Book title
Computer Vision – ECCV 2016
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-46448-0_17
Book ISBNs
978-3-31-946447-3, 978-3-31-946448-0
Authors

Jian-Fang Hu, Wei-Shi Zheng, Lianyang Ma, Gang Wang, Jianhuang Lai, Hu, Jian-Fang, Zheng, Wei-Shi, Ma, Lianyang, Wang, Gang, Lai, Jianhuang

Editors

Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Portugal 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Student > Master 9 25%
Student > Bachelor 4 11%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Computer Science 24 67%
Engineering 5 14%
Agricultural and Biological Sciences 1 3%
Unknown 6 17%