Advances in Visual Computing

Table of Contents

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   Book Overview
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   Chapter 1 Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images
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   Chapter 2 Deep Learning Based GABA Edited-MRS Signal Reconstruction
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   Chapter 3 Investigating the Impact of Attention on Mammogram Classification
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   Chapter 4 ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images
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   Chapter 5 A Data-Centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images
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   Chapter 6 Visualizing Multimodal Time Series at Scale
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   Chapter 7 Hybrid Tree Visualizations for Analysis of Gerrymandering
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   Chapter 8 ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data
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    Chapter 9 Spiro : Order-Preserving Visualization in High Performance Computing Monitoring
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    Chapter 10 From Faces to Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans
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    Chapter 11 Comparison of Autoencoder Models for Unsupervised Representation Learning of Skeleton Sequences
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    Chapter 12 Local and Global Context Reasoning for Spatio-Temporal Action Localization
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    Chapter 13 Zero-Shot Video Moment Retrieval Using BLIP-Based Models
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    Chapter 14 Self-supervised Representation Learning for Fine Grained Human Hand Action Recognition in Industrial Assembly Lines
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    Chapter 15 Pretext Tasks in Bridge Defect Segmentation Within a ViT-Adapter Framework
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    Chapter 16 A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
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    Chapter 17 Efficient Resource Provisioning in Critical Infrastructures Based on Multi-Agent Rollout Enabled by Deep Q-Learning
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    Chapter 18 Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer
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    Chapter 19 Latent Space Navigation for Face Privacy: A Case Study on the MNIST Dataset
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    Chapter 20 Domain Generalization for Foreground Segmentation Using Federated Learning
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    Chapter 21 Probabilistic Local Equivalence Certification for Robustness Evaluation
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    Chapter 22 Challenges of Depth Estimation for Transparent Objects
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    Chapter 23 Volumetric Body Composition Through Cross-Domain Consistency Training for Unsupervised Domain Adaptation
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    Chapter 24 Water Animation Using Coupled SPH and Wave Equation
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    Chapter 25 UniTorch - Integrating Neural Rendering into Unity
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    Chapter 26 Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination
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    Chapter 27 SwarmCurves: Evolutionary Curve Reconstruction
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    Chapter 28 Brain Cortical Surface Registration with Anatomical Atlas Constraints
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    Chapter 29 When System Model Meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging
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    Chapter 30 3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem
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    Chapter 31 An Integrated Shape-Texture Descriptor for Modeling Whole-Organism Phenotypes in Drug Screening
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    Chapter 32 Enhancing Image Reconstruction via Phase-Constrained Data in an Iterative Process
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    Chapter 33 I Got Your Emotion: Emotion Preserving Face De-identification Using Injection-Based Generative Adversarial Networks
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    Chapter 34 DoppelVer: A Benchmark for Face Verification
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    Chapter 35 Two-Stage Face Detection and Anti-spoofing
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    Chapter 36 Driver Anomaly Detection Using Skeleton Images
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    Chapter 37 Future Video Prediction from a Single Frame for Video Anomaly Detection
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    Chapter 38 Latent Diffusion Based Multi-class Anomaly Detection
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    Chapter 39 Investigating the Impact of a Low-Rank Tensor-Based Approach on Deforestation Imagery
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    Chapter 40 Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning A Case Study on Object Tracking Tasks
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    Chapter 41 Autonomous Navigation via a Cascading CNN Framework Leveraging Synthetic Terrain Images
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    Chapter 42 Synthetically Labeled Images for Maize Plant Detection in UAS Images
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    Chapter 43 An Open Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios
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    Chapter 44 Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms
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    Chapter 45 Identification of Abnormality in Maize Plants from UAV Images Using Deep Learning Approaches
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    Chapter 46 Deep Learning for Super Resolution of Sugarcane Crop Line Imagery from Unmanned Aerial Vehicles