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Computer Vision – ECCV 2014 : 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V

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Cover of 'Computer Vision – ECCV 2014 : 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Video Registration to SfM Models
  3. Altmetric Badge
    Chapter 2 Computer Vision – ECCV 2014
  4. Altmetric Badge
    Chapter 3 Inverse Kernels for Fast Spatial Deconvolution
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    Chapter 4 Deep Network Cascade for Image Super-resolution
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    Chapter 5 Spectral Edge Image Fusion: Theory and Applications
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    Chapter 6 Spatio-chromatic Opponent Features
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    Chapter 7 Modeling Perceptual Color Differences by Local Metric Learning
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    Chapter 8 Online Graph-Based Tracking
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    Chapter 9 Fast Visual Tracking via Dense Spatio-temporal Context Learning
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    Chapter 10 Extended Lucas-Kanade Tracking
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    Chapter 11 Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations
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    Chapter 12 Generalized Background Subtraction Using Superpixels with Label Integrated Motion Estimation
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    Chapter 13 Spectra Estimation of Fluorescent and Reflective Scenes by Using Ordinary Illuminants
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    Chapter 14 Interreflection Removal Using Fluorescence
  16. Altmetric Badge
    Chapter 15 Intrinsic Face Image Decomposition with Human Face Priors
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    Chapter 16 Recovering Scene Geometry under Wavy Fluid via Distortion and Defocus Analysis
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    Chapter 17 Human Detection Using Learned Part Alphabet and Pose Dictionary
  19. Altmetric Badge
    Chapter 18 SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection
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    Chapter 19 Detecting Snap Points in Egocentric Video with a Web Photo Prior
  21. Altmetric Badge
    Chapter 20 Towards Unified Object Detection and Semantic Segmentation
  22. Altmetric Badge
    Chapter 21 Foreground Consistent Human Pose Estimation Using Branch and Bound
  23. Altmetric Badge
    Chapter 22 Human Pose Estimation with Fields of Parts
  24. Altmetric Badge
    Chapter 23 Unsupervised Video Adaptation for Parsing Human Motion
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    Chapter 24 Training Object Class Detectors from Eye Tracking Data
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    Chapter 25 Depth Based Object Detection from Partial Pose Estimation of Symmetric Objects
  27. Altmetric Badge
    Chapter 26 Edge Boxes: Locating Object Proposals from Edges
  28. Altmetric Badge
    Chapter 27 Training Deformable Object Models for Human Detection Based on Alignment and Clustering
  29. Altmetric Badge
    Chapter 28 Predicting Actions from Static Scenes
  30. Altmetric Badge
    Chapter 29 Exploiting Privileged Information from Web Data for Image Categorization
  31. Altmetric Badge
    Chapter 30 Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling
  32. Altmetric Badge
    Chapter 31 Discriminatively Trained Dense Surface Normal Estimation
  33. Altmetric Badge
    Chapter 32 Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects
  34. Altmetric Badge
    Chapter 33 Non-associative Higher-Order Markov Networks for Point Cloud Classification
  35. Altmetric Badge
    Chapter 34 Learning Where to Classify in Multi-view Semantic Segmentation
  36. Altmetric Badge
    Chapter 35 Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding
  37. Altmetric Badge
    Chapter 36 Sparse Dictionaries for Semantic Segmentation
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    Chapter 37 Video Action Detection with Relational Dynamic-Poselets
  39. Altmetric Badge
    Chapter 38 Action Recognition with Stacked Fisher Vectors
  40. Altmetric Badge
    Chapter 39 A Discriminative Model with Multiple Temporal Scales for Action Prediction
  41. Altmetric Badge
    Chapter 40 Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions
  42. Altmetric Badge
    Chapter 41 Weakly Supervised Action Labeling in Videos under Ordering Constraints
  43. Altmetric Badge
    Chapter 42 Active Random Forests: An Application to Autonomous Unfolding of Clothes
  44. Altmetric Badge
    Chapter 43 Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects
  45. Altmetric Badge
    Chapter 44 Convexity Shape Prior for Segmentation
  46. Altmetric Badge
    Chapter 45 Pseudo-bound Optimization for Binary Energies
  47. Altmetric Badge
    Chapter 46 A Closer Look at Context: From Coxels to the Contextual Emergence of Object Saliency
  48. Altmetric Badge
    Chapter 47 Geodesic Object Proposals
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    Chapter 48 Microsoft COCO: Common Objects in Context
  50. Altmetric Badge
    Chapter 49 Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation
  51. Altmetric Badge
    Chapter 50 Robust Bundle Adjustment Revisited
  52. Altmetric Badge
    Chapter 51 Accurate Intrinsic Calibration of Depth Camera with Cuboids
  53. Altmetric Badge
    Chapter 52 Statistical Pose Averaging with Non-isotropic and Incomplete Relative Measurements
  54. Altmetric Badge
    Chapter 53 A Pot of Gold: Rainbows as a Calibration Cue
  55. Altmetric Badge
    Chapter 54 Let There Be Color! Large-Scale Texturing of 3D Reconstructions
Attention for Chapter 48: Microsoft COCO: Common Objects in Context
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

2 news outlets
1 blog
1 policy source
1 tweeter
7 patents
2 Wikipedia pages


64 Dimensions

Readers on

6618 Mendeley
1 CiteULike
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Chapter title
Microsoft COCO: Common Objects in Context
Chapter number 48
Book title
Computer Vision – ECCV 2014
Published in
Lecture notes in computer science, September 2014
DOI 10.1007/978-3-319-10602-1_48
Book ISBNs
978-3-31-910601-4, 978-3-31-910602-1

Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick, David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars, Lin, Tsung-Yi, Maire, Michael, Belongie, Serge, Hays, James, Perona, Pietro, Ramanan, Deva, Dollár, Piotr, Zitnick, C. Lawrence

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 6,618 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 <1%
United Kingdom 5 <1%
Japan 4 <1%
Germany 4 <1%
Spain 3 <1%
France 3 <1%
Netherlands 2 <1%
Italy 2 <1%
China 2 <1%
Other 13 <1%
Unknown 6571 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1394 21%
Student > Ph. D. Student 1265 19%
Student > Bachelor 748 11%
Researcher 599 9%
Student > Doctoral Student 219 3%
Other 635 10%
Unknown 1758 27%
Readers by discipline Count As %
Computer Science 2638 40%
Engineering 1280 19%
Agricultural and Biological Sciences 98 1%
Earth and Planetary Sciences 62 <1%
Physics and Astronomy 59 <1%
Other 536 8%
Unknown 1945 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 16 June 2022.
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Altmetric has tracked 22,013,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,087 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 98% 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 231,361 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 95% of its contemporaries.
We're also able to compare this research output to 30 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 99% of its contemporaries.