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Computer Vision – ECCV 2014

Overview of attention for book
Cover of 'Computer Vision – ECCV 2014'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 All-In-Focus Synthetic Aperture Imaging
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    Chapter 2 Photo Uncrop
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    Chapter 3 Solving Square Jigsaw Puzzles with Loop Constraints
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    Chapter 4 Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features
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    Chapter 5 Spatio-temporal Matching for Human Detection in Video
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    Chapter 6 Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets
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    Chapter 7 Facial Landmark Detection by Deep Multi-task Learning
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    Chapter 8 Joint Cascade Face Detection and Alignment
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    Chapter 9 Computer Vision – ECCV 2014
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    Chapter 10 Crowd Tracking with Dynamic Evolution of Group Structures
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    Chapter 11 Tracking Using Multilevel Quantizations
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    Chapter 12 Occlusion and Motion Reasoning for Long-Term Tracking
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    Chapter 13 MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization
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    Chapter 14 Robust Motion Segmentation with Unknown Correspondences
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    Chapter 15 Monocular Multiview Object Tracking with 3D Aspect Parts
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    Chapter 16 Modeling Blurred Video with Layers
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    Chapter 17 Efficient Image and Video Co-localization with Frank-Wolfe Algorithm
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    Chapter 18 Non-parametric Higher-Order Random Fields for Image Segmentation
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    Chapter 19 Co-Sparse Textural Similarity for Interactive Segmentation
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    Chapter 20 A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding
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    Chapter 21 Free-Shape Polygonal Object Localization
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    Chapter 22 Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations
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    Chapter 23 Attributes Make Sense on Segmented Objects
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    Chapter 24 Towards Transparent Systems: Semantic Characterization of Failure Modes
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    Chapter 25 Orientation Covariant Aggregation of Local Descriptors with Embeddings
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    Chapter 26 Similarity-Invariant Sketch-Based Image Retrieval in Large Databases
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    Chapter 27 Discovering Object Classes from Activities
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    Chapter 28 Weakly Supervised Object Localization with Latent Category Learning
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    Chapter 29 Food-101 – Mining Discriminative Components with Random Forests
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    Chapter 30 Latent-Class Hough Forests for 3D Object Detection and Pose Estimation
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    Chapter 31 FPM: Fine Pose Parts-Based Model with 3D CAD Models
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    Chapter 32 Learning High-Level Judgments of Urban Perception
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    Chapter 33 CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows
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    Chapter 34 Discovering Video Clusters from Visual Features and Noisy Tags
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    Chapter 35 Category-Specific Video Summarization
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    Chapter 36 Assessing the Quality of Actions
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    Chapter 37 HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos
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    Chapter 38 Computer Vision – ECCV 2014
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    Chapter 39 GIS-Assisted Object Detection and Geospatial Localization
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    Chapter 40 Context-Based Pedestrian Path Prediction
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    Chapter 41 Sliding Shapes for 3D Object Detection in Depth Images
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    Chapter 42 Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model
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    Chapter 43 PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding
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    Chapter 44 Unfolding an Indoor Origami World
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    Chapter 45 Joint Semantic Segmentation and 3D Reconstruction from Monocular Video
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    Chapter 46 A New Variational Framework for Multiview Surface Reconstruction
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    Chapter 47 Multi-body Depth-Map Fusion with Non-intersection Constraints
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    Chapter 48 Shape from Light Field Meets Robust PCA
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    Chapter 49 Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval
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    Chapter 50 Reverse Training: An Efficient Approach for Image Set Classification
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    Chapter 51 Real-Time Exemplar-Based Face Sketch Synthesis
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    Chapter 52 Domain-Adaptive Discriminative One-Shot Learning of Gestures
Attention for Chapter 26: Similarity-Invariant Sketch-Based Image Retrieval in Large Databases
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Chapter title
Similarity-Invariant Sketch-Based Image Retrieval in Large Databases
Chapter number 26
Book title
Computer Vision – ECCV 2014
Published in
Lecture notes in computer science, September 2014
DOI 10.1007/978-3-319-10599-4_26
Book ISBNs
978-3-31-910598-7, 978-3-31-910599-4
Authors

Sarthak Parui, Anurag Mittal

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
France 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 34%
Researcher 6 17%
Student > Master 6 17%
Student > Doctoral Student 3 9%
Lecturer 3 9%
Other 1 3%
Unknown 4 11%
Readers by discipline Count As %
Computer Science 22 63%
Engineering 6 17%
Medicine and Dentistry 1 3%
Social Sciences 1 3%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 October 2014.
All research outputs
#14,788,263
of 22,768,097 outputs
Outputs from Lecture notes in computer science
#4,541
of 8,125 outputs
Outputs of similar age
#131,025
of 238,856 outputs
Outputs of similar age from Lecture notes in computer science
#123
of 223 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.