Computer Vision – ACCV 2020

Table of Contents

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   Book Overview
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   Chapter 1 Image Inpainting with Onion Convolutions
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   Chapter 2 Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network
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   Chapter 3 Second-Order Camera-Aware Color Transformation for Cross-Domain Person Re-identification
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   Chapter 4 CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation
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   Chapter 5 MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining
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   Chapter 6 Degradation Model Learning for Real-World Single Image Super-Resolution
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   Chapter 7 Chromatic Aberration Correction Using Cross-Channel Prior in Shearlet Domain
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   Chapter 8 Raw-Guided Enhancing Reprocess of Low-Light Image via Deep Exposure Adjustment
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    Chapter 9 Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallax
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    Chapter 10 Low-Light Color Imaging via Dual Camera Acquisition
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    Chapter 11 Frequency Attention Network: Blind Noise Removal for Real Images
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    Chapter 12 Restoring Spatially-Heterogeneous Distortions Using Mixture of Experts Network
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    Chapter 13 Color Enhancement Using Global Parameters and Local Features Learning
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    Chapter 14 An Efficient Group Feature Fusion Residual Network for Image Super-Resolution
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    Chapter 15 Adversarial Image Composition with Auxiliary Illumination
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    Chapter 16 Overwater Image Dehazing via Cycle-Consistent Generative Adversarial Network
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    Chapter 17 Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
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    Chapter 18 Multi-scale Attentive Residual Dense Network for Single Image Rain Removal
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    Chapter 19 FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
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    Chapter 20 Human Motion Deblurring Using Localized Body Prior
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    Chapter 21 Synergistic Saliency and Depth Prediction for RGB-D Saliency Detection
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    Chapter 22 Deep Snapshot HDR Imaging Using Multi-exposure Color Filter Array
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    Chapter 23 Deep Priors Inside an Unrolled and Adaptive Deconvolution Model
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    Chapter 24 Adaptive Spatio-Temporal Regularized Correlation Filters for UAV-Based Tracking
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    Chapter 25 Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation
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    Chapter 26 Self-supervised Sparse to Dense Motion Segmentation
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    Chapter 27 Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras
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    Chapter 28 Adversarial Refinement Network for Human Motion Prediction
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    Chapter 29 Semantic Synthesis of Pedestrian Locomotion
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    Chapter 30 Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
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    Chapter 31 Visual Tracking by TridentAlign and Context Embedding
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    Chapter 32 Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking
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    Chapter 33 A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking
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    Chapter 34 Learning Local Feature Descriptors for Multiple Object Tracking
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    Chapter 35 VAN: Versatile Affinity Network for End-to-End Online Multi-object Tracking
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    Chapter 36 COMET: Context-Aware IoU-Guided Network for Small Object Tracking
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    Chapter 37 Adversarial Semi-supervised Multi-domain Tracking
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    Chapter 38 Tracking-by-Trackers with a Distilled and Reinforced Model
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    Chapter 39 Motion Prediction Using Temporal Inception Module
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    Chapter 40 A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking
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    Chapter 41 Modeling Cross-Modal Interaction in a Multi-detector, Multi-modal Tracking Framework
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    Chapter 42 Dense Pixel-Wise Micro-motion Estimation of Object Surface by Using Low Dimensional Embedding of Laser Speckle Pattern