Advances in Visual Computing

Table of Contents

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   Book Overview
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   Chapter 1 Unsupervised Structure-Consistent Image-to-Image Translation
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   Chapter 2 Learning Representations for Masked Facial Recovery
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   Chapter 3 Deep Learning Based Shrimp Classification
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   Chapter 4 Gait Emotion Recognition Using a Bi-modal Deep Neural Network
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   Chapter 5 Attacking Frequency Information with Enhanced Adversarial Networks to Generate Adversarial Samples
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   Chapter 6 Explainable Interactive Projections for Image Data
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   Chapter 7 MultiProjector : Temporal Projection for Multivariates Time Series
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   Chapter 8 Deep Learning Based Super-Resolution for Medical Volume Visualization with Direct Volume Rendering
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    Chapter 9 Interactive Virtual Reality Exploration of Large-Scale Datasets Using Omnidirectional Stereo Images
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    Chapter 10 A Quantitative Analysis of Labeling Issues in the CelebA Dataset
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    Chapter 11 Recognition of Aquatic Invasive Species Larvae Using Autoencoder-Based Feature Averaging
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    Chapter 12 Subspace Analysis for Multi-temporal Disaster Mapping Using Satellite Imagery
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    Chapter 13 Open-Set Plankton Recognition Using Similarity Learning
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    Chapter 14 Sensor Fusion Operators for Multimodal 2D Object Detection
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    Chapter 15 Learning When to Say “I Don’t Know"
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    Chapter 16 Multi-class Detection and Tracking of Intracorporeal Suturing Instruments in an FLS Laparoscopic Box Trainer Using Scaled-YOLOv4
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    Chapter 17 A New Approach to Visual Classification Using Concatenated Deep Learning for Multimode Fusion of EEG and Image Data
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    Chapter 18 Deep Learning-Based Classification of Plant Xylem Tissue from Light Micrographs
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    Chapter 19 VampNet: Unsupervised Vampirizing of Convolutional Networks
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    Chapter 20 RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization
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    Chapter 21 Deep Labeling of fMRI Brain Networks Using Cloud Based Processing
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    Chapter 22 Semantic Segmentation Using Neural Ordinary Differential Equations
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    Chapter 23 Graphing the Future: Activity and Next Active Object Prediction Using Graph-Based Activity Representations
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    Chapter 24 Detecting Fall Actions of Videos by Using Weakly-Supervised Learning and Unsupervised Clustering Learning
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    Chapter 25 Multi-property Tensor-Based Learning for Abnormal Event Detection
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    Chapter 26 Depth-Based vs. Color-Based Pose Estimation in Human Action Recognition
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    Chapter 27 Cross-Domain Learning in Deep HAR Models via Natural Language Processing on Action Labels
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    Chapter 28 Visualizing Data Flows in Computer Graphics Programs for Code Comprehension and Debugging
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    Chapter 29 A Practical Algorithm for Degree- k Voronoi Domains of Three-Dimensional Periodic Point Sets
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    Chapter 30 End-to-End Deep Neural Network for Illumination Consistency and Global Illumination
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    Chapter 31 Pruning-Based Topology Refinement of 3D Mesh Using a 2D Alpha Mask
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    Chapter 32 ConnectedUNets ++ : Mass Segmentation from Whole Mammographic Images
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    Chapter 33 Severity Classification of Ulcerative Colitis in Colonoscopy Videos by Learning from Confusion
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    Chapter 34 Detection and Classification of Lung Disease Using Deep Learning Architecture from X-ray Images
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    Chapter 35 PolypDEQ: Towards Effective Transformer-Based Deep Equilibrium Models for Colon Polyp Segmentation