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Computer Vision – ECCV 2022

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Cover of 'Computer Vision – ECCV 2022'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Most and Least Retrievable Images in Visual-Language Query Systems
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    Chapter 2 Sports Video Analysis on Large-Scale Data
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    Chapter 3 Grounding Visual Representations with Texts for Domain Generalization
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    Chapter 4 Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions
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    Chapter 5 StoryDALL-E : Adapting Pretrained Text-to-Image Transformers for Story Continuation
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    Chapter 6 VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
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    Chapter 7 Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
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    Chapter 8 End-to-End Active Speaker Detection
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    Chapter 9 Emotion Recognition for Multiple Context Awareness
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    Chapter 10 Adaptive Fine-Grained Sketch-Based Image Retrieval
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    Chapter 11 Quantized GAN for Complex Music Generation from Dance Videos
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    Chapter 12 Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction
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    Chapter 13 Localizing Visual Sounds the Easy Way
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    Chapter 14 Learning Visual Styles from Audio-Visual Associations
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    Chapter 15 Remote Respiration Monitoring of Moving Person Using Radio Signals
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    Chapter 16 Camera Pose Estimation and Localization with Active Audio Sensing
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    Chapter 17 PACS : A Dataset for Physical Audiovisual CommonSense Reasoning
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    Chapter 18 VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer
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    Chapter 19 Telepresence Video Quality Assessment
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    Chapter 20 MultiMAE: Multi-modal Multi-task Masked Autoencoders
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    Chapter 21 AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation
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    Chapter 22 Audio–Visual Segmentation
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    Chapter 23 Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
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    Chapter 24 Relationformer: A Unified Framework for  Image-to-Graph Generation
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    Chapter 25 GAMa: Cross-View Video Geo-Localization
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    Chapter 26 Revisiting a kNN-Based Image Classification System with High-Capacity Storage
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    Chapter 27 Geometric Representation Learning for Document Image Rectification
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    Chapter 28 S $$^{2}$$ 2 -VER: Semi-supervised Visual Emotion Recognition
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    Chapter 29 Image Coding for Machines with Omnipotent Feature Learning
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    Chapter 30 Feature Representation Learning for Unsupervised Cross-Domain Image Retrieval
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    Chapter 31 Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
  33. Altmetric Badge
    Chapter 32 Semantic-Guided Multi-mask Image Harmonization
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    Chapter 33 Learning an Isometric Surface Parameterization for Texture Unwrapping
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    Chapter 34 Towards Regression-Free Neural Networks for Diverse Compute Platforms
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    Chapter 35 Relationship Spatialization for Depth Estimation
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    Chapter 36 Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
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    Chapter 37 FAR: Fourier Aerial Video Recognition
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    Chapter 38 Translating a Visual LEGO Manual to a Machine-Executable Plan
  40. Altmetric Badge
    Chapter 39 Fabric Material Recovery from Video Using Multi-scale Geometric Auto-Encoder
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    Chapter 40 MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
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    Chapter 41 The One Where They Reconstructed 3D Humans and Environments in TV Shows
Attention for Chapter 4: Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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Citations

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Chapter title
Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions
Chapter number 4
Book title
Computer Vision – ECCV 2022
Published in
arXiv, October 2022
DOI 10.1007/978-3-031-19836-6_4
Book ISBNs
978-3-03-119835-9, 978-3-03-119836-6
Authors

Joaquin Ossandón, Benjamin Earle, Álvaro Soto, Ossandón, Joaquín, Earle, Benjamín, Soto, Álvaro

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Master 2 15%
Student > Bachelor 1 8%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 6 46%
Economics, Econometrics and Finance 1 8%
Engineering 1 8%
Unknown 5 38%
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 2022.
All research outputs
#14,670,295
of 23,485,296 outputs
Outputs from arXiv
#293,646
of 970,847 outputs
Outputs of similar age
#206,986
of 444,299 outputs
Outputs of similar age from arXiv
#14,411
of 43,313 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970,847 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 444,299 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 43,313 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.