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Computer Vision – ECCV 2022

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Computer Vision – ECCV 2022
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 $$\mathrm {CT^2}$$ CT 2 : Colorization Transformer via Color Tokens
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    Chapter 2 Simple Baselines for Image Restoration
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    Chapter 3 Spike Transformer: Monocular Depth Estimation for Spiking Camera
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    Chapter 4 Improving Image Restoration by Revisiting Global Information Aggregation
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    Chapter 5 Data Association Between Event Streams and Intensity Frames Under Diverse Baselines
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    Chapter 6 D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
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    Chapter 7 Learning Graph Neural Networks for Image Style Transfer
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    Chapter 8 DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images
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    Chapter 9 Instance Contour Adjustment via Structure-Driven CNN
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    Chapter 10 Synthesizing Light Field Video from Monocular Video
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    Chapter 11 Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features
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    Chapter 12 DeMFI: Deep Joint Deblurring and Multi-frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting
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    Chapter 13 Neural Image Representations for Multi-image Fusion and Layer Separation
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    Chapter 14 Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
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    Chapter 15 FILM: Frame Interpolation for Large Motion
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    Chapter 16 Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow
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    Chapter 17 EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls
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    Chapter 18 DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization
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    Chapter 19 SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data
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    Chapter 20 Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
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    Chapter 21 BigColor: Colorization Using a Generative Color Prior for Natural Images
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    Chapter 22 CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
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    Chapter 23 Deep Semantic Statistics Matching (D2SM) Denoising Network
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    Chapter 24 3D Scene Inference from Transient Histograms
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    Chapter 25 Neural Space-Filling Curves
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    Chapter 26 Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging
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    Chapter 27 Seeing Through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration
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    Chapter 28 Tomography of Turbulence Strength Based on Scintillation Imaging
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    Chapter 29 Realistic Blur Synthesis for Learning Image Deblurring
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    Chapter 30 Learning Phase Mask for Privacy-Preserving Passive Depth Estimation
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    Chapter 31 LWGNet - Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval
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    Chapter 32 PANDORA: Polarization-Aided Neural Decomposition of Radiance
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    Chapter 33 HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling
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    Chapter 34 DVS-Voltmeter: Stochastic Process-Based Event Simulator for Dynamic Vision Sensors
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    Chapter 35 Benchmarking Omni-Vision Representation Through the Lens of Visual Realms
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    Chapter 36 BEAT: A Large-Scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis
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    Chapter 37 Neuromorphic Data Augmentation for Training Spiking Neural Networks
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    Chapter 38 CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
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    Chapter 39 MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
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    Chapter 41 Unitail: Detecting, Reading, and Matching in Retail Scene
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    Chapter 42 Not Just Streaks: Towards Ground Truth for Single Image Deraining
Attention for Chapter 38: CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
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Chapter title
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
Chapter number 38
Book title
Computer Vision – ECCV 2022
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-20071-7_38
Book ISBNs
978-3-03-120070-0, 978-3-03-120071-7
Authors

Zhu, Hao, Wu, Wayne, Zhu, Wentao, Jiang, Liming, Tang, Siwei, Zhang, Li, Liu, Ziwei, Loy, Chen Change

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Student > Master 6 14%
Researcher 5 11%
Student > Doctoral Student 2 5%
Student > Postgraduate 1 2%
Other 0 0%
Unknown 22 50%
Readers by discipline Count As %
Computer Science 18 41%
Unknown 26 59%