↓ Skip to main content

Computer Vision – ECCV 2018 Workshops

Overview of attention for book
Cover of 'Computer Vision – ECCV 2018 Workshops'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Sixth Visual Object Tracking VOT2018 Challenge Results
  3. Altmetric Badge
    Chapter 2 On the Optimization of Advanced DCF-Trackers
  4. Altmetric Badge
    Chapter 3 Channel Pruning for Visual Tracking
  5. Altmetric Badge
    Chapter 4 WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking
  6. Altmetric Badge
    Chapter 5 A Memory Model Based on the Siamese Network for Long-Term Tracking
  7. Altmetric Badge
    Chapter 6 Multiple Context Features in Siamese Networks for Visual Object Tracking
  8. Altmetric Badge
    Chapter 7 Towards a Better Match in Siamese Network Based Visual Object Tracker
  9. Altmetric Badge
    Chapter 8 How to Make an RGBD Tracker?
  10. Altmetric Badge
    Chapter 9 Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints
  11. Altmetric Badge
    Chapter 10 Semantic Segmentation of Fisheye Images
  12. Altmetric Badge
    Chapter 11 Complex-YOLO: An Euler-Region-Proposal for Real-Time 3D Object Detection on Point Clouds
  13. Altmetric Badge
    Chapter 12 It’s Not All About Size: On the Role of Data Properties in Pedestrian Detection
  14. Altmetric Badge
    Chapter 13 Real-Time Point Cloud Alignment for Vehicle Localization in a High Resolution 3D Map
  15. Altmetric Badge
    Chapter 14 Exploiting Single Image Depth Prediction for Mono-stixel Estimation
  16. Altmetric Badge
    Chapter 15 EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
  17. Altmetric Badge
    Chapter 16 Scale Drift Correction of Camera Geo-Localization Using Geo-Tagged Images
  18. Altmetric Badge
    Chapter 17 Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution?
  19. Altmetric Badge
    Chapter 18 Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?
  20. Altmetric Badge
    Chapter 19 Deep Modular Network Architecture for Depth Estimation from Single Indoor Images
  21. Altmetric Badge
    Chapter 20 Generative Adversarial Networks for Unsupervised Monocular Depth Prediction
  22. Altmetric Badge
    Chapter 21 Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation
  23. Altmetric Badge
    Chapter 22 Robust Structured Light System Against Subsurface Scattering Effects Achieved by CNN-Based Pattern Detection and Decoding Algorithm
  24. Altmetric Badge
    Chapter 23 Robust 3D Pig Measurement in Pig Farm
  25. Altmetric Badge
    Chapter 24 SConE: Siamese Constellation Embedding Descriptor for Image Matching
  26. Altmetric Badge
    Chapter 25 RGB-D SLAM Based Incremental Cuboid Modeling
  27. Altmetric Badge
    Chapter 26 Semi-independent Stereo Visual Odometry for Different Field of View Cameras
  28. Altmetric Badge
    Chapter 27 Improving Thin Structures in Surface Reconstruction from Sparse Point Cloud
  29. Altmetric Badge
    Chapter 28 Polygonal Reconstruction of Building Interiors from Cluttered Pointclouds
  30. Altmetric Badge
    Chapter 29 Paired 3D Model Generation with Conditional Generative Adversarial Networks
  31. Altmetric Badge
    Chapter 30 Predicting Muscle Activity and Joint Angle from Skin Shape
  32. Altmetric Badge
    Chapter 31 Modeling Camera Effects to Improve Visual Learning from Synthetic Data
  33. Altmetric Badge
    Chapter 32 Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions
  34. Altmetric Badge
    Chapter 33 Exploring Bias in Primate Face Detection and Recognition
  35. Altmetric Badge
    Chapter 34 Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
  36. Altmetric Badge
    Chapter 35 Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-task Convolution Neural Network Approach
  37. Altmetric Badge
    Chapter 36 A Summary of the 4th International Workshop on Recovering 6D Object Pose
  38. Altmetric Badge
    Chapter 37 Image-to-Voxel Model Translation with Conditional Adversarial Networks
  39. Altmetric Badge
    Chapter 38 3D Pose Estimation for Fine-Grained Object Categories
  40. Altmetric Badge
    Chapter 39 Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices
  41. Altmetric Badge
    Chapter 40 Plane-Based Humanoid Robot Navigation and Object Model Construction for Grasping
  42. Altmetric Badge
    Chapter 41 Category-Level 6D Object Pose Recovery in Depth Images
  43. Altmetric Badge
    Chapter 42 On Pre-trained Image Features and Synthetic Images for Deep Learning
  44. Altmetric Badge
    Chapter 43 Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images
  45. Altmetric Badge
    Chapter 44 Occlusion Resistant Object Rotation Regression from Point Cloud Segments
  46. Altmetric Badge
    Chapter 45 Camera Tracking for SLAM in Deformable Maps
  47. Altmetric Badge
    Chapter 46 RPNet: An End-to-End Network for Relative Camera Pose Estimation
Attention for Chapter 36: A Summary of the 4th International Workshop on Recovering 6D Object Pose
Altmetric Badge

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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

11 tweeters
2 patents


4 Dimensions

Readers on

65 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
A Summary of the 4th International Workshop on Recovering 6D Object Pose
Chapter number 36
Book title
Computer Vision – ECCV 2018 Workshops
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-11009-3_36
Book ISBNs
978-3-03-011008-6, 978-3-03-011009-3

Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas, Tomáš Hodaň, Jiří Matas, Hodaň, Tomáš, Kouskouridas, Rigas, Kim, Tae-Kyun, Tombari, Federico, Bekris, Kostas, Drost, Bertram, Groueix, Thibault, Walas, Krzysztof, Lepetit, Vincent, Leonardis, Ales, Steger, Carsten, Michel, Frank, Sahin, Caner, Rother, Carsten, Matas, Jiří

Twitter Demographics

The data shown below were collected from the profiles of 11 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Researcher 12 18%
Student > Master 12 18%
Student > Bachelor 4 6%
Lecturer 2 3%
Other 4 6%
Unknown 13 20%
Readers by discipline Count As %
Computer Science 36 55%
Engineering 16 25%
Medicine and Dentistry 1 2%
Unknown 12 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 10 August 2022.
All research outputs
of 23,056,273 outputs
Outputs from arXiv
of 946,900 outputs
Outputs of similar age
of 336,140 outputs
Outputs of similar age from arXiv
of 23,795 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 946,900 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 336,140 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 84% of its contemporaries.
We're also able to compare this research output to 23,795 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 95% of its contemporaries.