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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 Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution
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    Chapter 2 Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration
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    Chapter 3 Neural Color Operators for Sequential Image Retouching
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    Chapter 4 Optimizing Image Compression via Joint Learning with Denoising
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    Chapter 5 Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks
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    Chapter 8 Perceiving and Modeling Density for Image Dehazing
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    Chapter 9 Stripformer: Strip Transformer for Fast Image Deblurring
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    Chapter 10 Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction
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    Chapter 11 Frequency and Spatial Dual Guidance for Image Dehazing
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    Chapter 12 Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach
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    Chapter 13 Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
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    Chapter 14 KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
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    Chapter 15 ARM: Any-Time Super-Resolution Method
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    Chapter 16 Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines
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    Chapter 17 RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos
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    Chapter 18 Memory-Augmented Model-Driven Network for Pansharpening
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    Chapter 19 All You Need Is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
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    Chapter 20 Ghost-free High Dynamic Range Imaging with Context-Aware Transformer
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    Chapter 21 Style-Guided Shadow Removal
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    Chapter 22 D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution
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    Chapter 23 GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training
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    Chapter 24 Efficient Video Deblurring Guided by Motion Magnitude
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    Chapter 25 Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model
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    Chapter 26 Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression
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    Chapter 27 Image Super-Resolution with Deep Dictionary
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    Chapter 29 RAWtoBit: A Fully End-to-end Camera ISP Network
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    Chapter 30 DRCNet: Dynamic Image Restoration Contrastive Network
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    Chapter 31 Zero-Shot Learning for Reflection Removal of Single 360-Degree Image
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    Chapter 32 Transformer with Implicit Edges for Particle-Based Physics Simulation
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    Chapter 33 Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior
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    Chapter 35 Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
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    Chapter 36 AlphaVC: High-Performance and Efficient Learned Video Compression
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    Chapter 37 Content-Oriented Learned Image Compression
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    Chapter 38 RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection
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    Chapter 39 Contrastive Prototypical Network with Wasserstein Confidence Penalty
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    Chapter 40 Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
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    Chapter 41 Self-support Few-Shot Semantic Segmentation
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    Chapter 42 Few-Shot Object Detection with Model Calibration
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    Chapter 43 Self-Supervision Can Be a Good Few-Shot Learner
Attention for Chapter 3: Neural Color Operators for Sequential Image Retouching
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Chapter title
Neural Color Operators for Sequential Image Retouching
Chapter number 3
Book title
Computer Vision – ECCV 2022
Published in
arXiv, July 2022
DOI 10.1007/978-3-031-19800-7_3
Book ISBNs
978-3-03-119799-4, 978-3-03-119800-7
Authors

Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang, Fu Li, Errui Ding, Wang, Yili, Li, Xin, Xu, Kun, He, Dongliang, Zhang, Qi, Li, Fu, Ding, Errui

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Other 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 7%
Unspecified 1 7%
Other 0 0%
Unknown 6 40%
Readers by discipline Count As %
Computer Science 5 33%
Engineering 2 13%
Unspecified 1 7%
Unknown 7 47%
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 26 October 2022.
All research outputs
#14,940,583
of 22,979,862 outputs
Outputs from arXiv
#324,001
of 942,687 outputs
Outputs of similar age
#202,443
of 401,030 outputs
Outputs of similar age from arXiv
#12,859
of 37,056 outputs
Altmetric has tracked 22,979,862 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 942,687 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 60% 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 401,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37,056 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 60% of its contemporaries.