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Computer Vision – ECCV 2018

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Cover of 'Computer Vision – ECCV 2018'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Physical Primitive Decomposition
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    Chapter 2 Deep Attention Neural Tensor Network for Visual Question Answering
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    Chapter 3 Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
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    Chapter 4 Combining 3D Model Contour Energy and Keypoints for Object Tracking
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    Chapter 5 Pairwise Confusion for Fine-Grained Visual Classification
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    Chapter 6 Interpretable Intuitive Physics Model
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    Chapter 7 Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States
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    Chapter 8 SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation
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    Chapter 9 Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
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    Chapter 10 Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms
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    Chapter 11 DYAN: A Dynamical Atoms-Based Network for Video Prediction
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    Chapter 12 Sparsely Aggregated Convolutional Networks
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    Chapter 13 Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
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    Chapter 14 Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks
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    Chapter 15 End-to-End Incremental Learning
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    Chapter 16 Conditional Image-Text Embedding Networks
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    Chapter 17 Sampling Algebraic Varieties for Robust Camera Autocalibration
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    Chapter 18 Attribute-Guided Face Generation Using Conditional CycleGAN
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    Chapter 19 Deep Structure Inference Network for Facial Action Unit Recognition
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    Chapter 20 Learning Priors for Semantic 3D Reconstruction
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    Chapter 21 Object Detection in Video with Spatiotemporal Sampling Networks
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    Chapter 22 Video Summarization Using Fully Convolutional Sequence Networks
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    Chapter 23 Modeling Visual Context Is Key to Augmenting Object Detection Datasets
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    Chapter 24 Learning Region Features for Object Detection
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    Chapter 25 End-to-End Deep Structured Models for Drawing Crosswalks
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    Chapter 26 Sidekick Policy Learning for Active Visual Exploration
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    Chapter 27 Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation
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    Chapter 28 Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search
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    Chapter 29 Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?
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    Chapter 30 Visual Question Generation for Class Acquisition of Unknown Objects
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    Chapter 31 Efficient Dense Point Cloud Object Reconstruction Using Deformation Vector Fields
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    Chapter 32 Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization
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    Chapter 33 Concept Mask: Large-Scale Segmentation from Semantic Concepts
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    Chapter 34 Descending, Lifting or Smoothing: Secrets of Robust Cost Optimization
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    Chapter 35 Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification
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    Chapter 36 License Plate Detection and Recognition in Unconstrained Scenarios
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    Chapter 37 Self-produced Guidance for Weakly-Supervised Object Localization
  39. Altmetric Badge
    Chapter 38 Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
  40. Altmetric Badge
    Chapter 39 Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
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    Chapter 40 Improving Shape Deformation in Unsupervised Image-to-Image Translation
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    Chapter 41 SwapNet: Image Based Garment Transfer
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    Chapter 42 Deterministic Consensus Maximization with Biconvex Programming
  44. Altmetric Badge
    Chapter 43 Robust Fitting in Computer Vision: Easy or Hard?
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    Chapter 44 Highly-Economized Multi-view Binary Compression for Scalable Image Clustering
  46. Altmetric Badge
    Chapter 45 Efficient Semantic Scene Completion Network with Spatial Group Convolution
  47. Altmetric Badge
    Chapter 46 Asynchronous, Photometric Feature Tracking Using Events and Frames
Attention for Chapter 4: Combining 3D Model Contour Energy and Keypoints for Object Tracking
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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2 X users


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Chapter title
Combining 3D Model Contour Energy and Keypoints for Object Tracking
Chapter number 4
Book title
Computer Vision – ECCV 2018
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-01258-8_4
Book ISBNs
978-3-03-001257-1, 978-3-03-001258-8

Bogdan Bugaev, Anton Kryshchenko, Roman Belov, Bugaev, Bogdan, Kryshchenko, Anton, Belov, Roman

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Student > Master 16 15%
Researcher 14 13%
Student > Bachelor 4 4%
Student > Doctoral Student 3 3%
Other 11 11%
Unknown 40 38%
Readers by discipline Count As %
Computer Science 49 47%
Engineering 11 11%
Agricultural and Biological Sciences 1 <1%
Materials Science 1 <1%
Economics, Econometrics and Finance 1 <1%
Other 0 0%
Unknown 41 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 06 February 2020.
All research outputs
of 23,253,955 outputs
Outputs from arXiv
of 958,527 outputs
Outputs of similar age
of 336,665 outputs
Outputs of similar age from arXiv
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Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958,527 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 92% 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 336,665 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 23,793 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.