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Computer Vision – ECCV 2022

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Table of Contents

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    Book Overview
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    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
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Title
Computer Vision – ECCV 2022
Published by
Springer Nature Switzerland, November 2022
DOI 10.1007/978-3-031-19800-7
ISBNs
978-3-03-119799-4, 978-3-03-119800-7
Editors

Avidan, Shai, Brostow, Gabriel, Cissé, Moustapha, Farinella, Giovanni Maria, Hassner, Tal

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