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Computer Vision – ECCV 2016 Workshops

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Cover of 'Computer Vision – ECCV 2016 Workshops'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
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    Chapter 2 Human Action Recognition Without Human
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    Chapter 3 Motion Representation with Acceleration Images
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    Chapter 4 Segmentation Free Object Discovery in Video
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    Chapter 5 Human Pose Estimation in Space and Time Using 3D CNN
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    Chapter 6 Autonomous Driving Challenge: To Infer the Property of a Dynamic Object Based on Its Motion Pattern
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    Chapter 7 Temporal Convolutional Networks: A Unified Approach to Action Segmentation
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    Chapter 8 Making a Case for Learning Motion Representations with Phase
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    Chapter 9 gvnn: Neural Network Library for Geometric Computer Vision
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    Chapter 10 On-Line Large Scale Semantic Fusion
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    Chapter 11 Learning Covariant Feature Detectors
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    Chapter 12 Scene Segmentation Driven by Deep Learning and Surface Fitting
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    Chapter 13 Improving Constrained Bundle Adjustment Through Semantic Scene Labeling
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    Chapter 14 A CNN Cascade for Landmark Guided Semantic Part Segmentation
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    Chapter 15 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
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    Chapter 16 Overcoming Occlusion with Inverse Graphics
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    Chapter 17 Deep Kinematic Pose Regression
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    Chapter 18 How Useful Is Photo-Realistic Rendering for Visual Learning?
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    Chapter 19 Learning the Structure of Objects from Web Supervision
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    Chapter 20 VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
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    Chapter 21 Deep Shape from a Low Number of Silhouettes
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    Chapter 22 Deep Disentangled Representations for Volumetric Reconstruction
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    Chapter 23 Class-Specific Object Pose Estimation and Reconstruction Using 3D Part Geometry
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    Chapter 24 Monocular Surface Reconstruction Using 3D Deformable Part Models
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    Chapter 25 Deep Bimodal Regression for Apparent Personality Analysis
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    Chapter 26 SASE: RGB-Depth Database for Human Head Pose Estimation
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    Chapter 27 Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and Stochastic Visual Features
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    Chapter 28 Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
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    Chapter 29 Deep Learning for Facial Action Unit Detection Under Large Head Poses
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    Chapter 30 Combining Deep Facial and Ambient Features for First Impression Estimation
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    Chapter 31 The Static Multimodal Dyadic Behavior Dataset for Engagement Prediction
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    Chapter 32 ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results
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    Chapter 33 Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits
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    Chapter 34 Best Practices for Fine-Tuning Visual Classifiers to New Domains
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    Chapter 35 Deep CORAL: Correlation Alignment for Deep Domain Adaptation
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    Chapter 36 Nonlinear Embedding Transform for Unsupervised Domain Adaptation
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    Chapter 37 Unsupervised Domain Adaptation with Regularized Domain Instance Denoising
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    Chapter 38 Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers
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    Chapter 39 Learning the Roots of Visual Domain Shift
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    Chapter 40 Heterogeneous Face Recognition with CNNs
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    Chapter 41 VLAD Is not Necessary for CNN
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    Chapter 42 Training a Mentee Network by Transferring Knowledge from a Mentor Network
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    Chapter 43 Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction
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    Chapter 44 Deep Attributes for One-Shot Face Recognition
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    Chapter 45 Hard Negative Mining for Metric Learning Based Zero-Shot Classification
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    Chapter 46 Transfer Learning for Cell Nuclei Classification in Histopathology Images
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    Chapter 47 Visual Analogies: A Framework for Defining Aspect Categorization
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    Chapter 48 A Direct Method for Robust Model-Based 3D Object Tracking from a Monocular RGB Image
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    Chapter 49 A Radial Search Method for Fast Nearest Neighbor Search on Range Images
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    Chapter 50 Direct-from-Video: Unsupervised NRSfM
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    Chapter 51 Physical Reasoning for 3D Object Recognition Using Global Hypothesis Verification
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    Chapter 52 On Evaluation of 6D Object Pose Estimation
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    Chapter 53 Reconstructing Articulated Rigged Models from RGB-D Videos
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    Chapter 54 RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction
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    Chapter 55 SemanticFusion: Joint Labeling, Tracking and Mapping
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    Chapter 56 Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing
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    Chapter 57 The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better
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    Chapter 58 Sensor Fusion for Sparse SLAM with Descriptor Pooling
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    Chapter 59 An Evaluation of Local Feature Detectors and Descriptors for Infrared Images
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    Chapter 60 Evaluating Local Features for Day-Night Matching
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    Chapter 61 Image Correspondences Matching Using Multiple Features Fusion
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    Chapter 62 Learning Local Convolutional Features for Face Recognition with 2D-Warping
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    Chapter 63 Improving Performances of MSER Features in Matching and Retrieval Tasks
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    Chapter 64 Improved Image Boundaries for Better Video Segmentation
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    Chapter 65 Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency
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    Chapter 66 Can Ground Truth Label Propagation from Video Help Semantic Segmentation?
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    Chapter 67 3D Point Cloud Video Segmentation Based on Interaction Analysis
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    Chapter 68 Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence
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    Chapter 69 Clockwork Convnets for Video Semantic Segmentation
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    Chapter 70 Learning Markerless Human Pose Estimation from Multiple Viewpoint Video
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    Chapter 71 Virtual Immortality: Reanimating Characters from TV Shows
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    Chapter 72 Light Source Estimation in Synthetic Images
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    Chapter 73 LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode
  75. Altmetric Badge
    Chapter 74 Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data
  76. Altmetric Badge
    Chapter 75 UnrealCV: Connecting Computer Vision to Unreal Engine
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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17 X users
patent
24 patents
q&a
1 Q&A thread

Citations

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21 Dimensions

Readers on

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1118 Mendeley
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Title
Computer Vision – ECCV 2016 Workshops
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-49409-8
ISBNs
978-3-31-949408-1, 978-3-31-949409-8
Editors

Gang Hua, Hervé Jégou

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 1,118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 3 <1%
United Kingdom 3 <1%
Spain 2 <1%
Brazil 2 <1%
United States 2 <1%
Japan 2 <1%
France 1 <1%
China 1 <1%
Ecuador 1 <1%
Other 2 <1%
Unknown 1099 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 291 26%
Student > Master 242 22%
Student > Bachelor 95 8%
Researcher 77 7%
Student > Doctoral Student 45 4%
Other 147 13%
Unknown 221 20%
Readers by discipline Count As %
Computer Science 467 42%
Engineering 228 20%
Unspecified 27 2%
Agricultural and Biological Sciences 23 2%
Physics and Astronomy 21 2%
Other 104 9%
Unknown 248 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 March 2024.
All research outputs
#1,921,943
of 25,837,817 outputs
Outputs from Lecture notes in computer science
#299
of 8,229 outputs
Outputs of similar age
#31,828
of 405,194 outputs
Outputs of similar age from Lecture notes in computer science
#69
of 583 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 405,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 583 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.