{"product_id":"advances-in-visual-computing-18th-international-symposium-isvc-2023-lake-tahoe-nv-usa-october-16-18-2023-proceedings-part-i-9783031479687","title":"Advances in Visual Computing: 18th International","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA.\u003c\/p\u003e\u003cp\u003eThe 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral  presentation in special tracks from 34 submissions. The following topical sections followed as:\u003cbr\u003e\u003c\/p\u003e\u003cp\u003ePart 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision \u0026amp; Machine Learning for Critical \u0026amp; Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.\u003c\/p\u003e\u003cp\u003ePart 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.\u003c\/p\u003e\u003cp\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management\u003c\/b\u003e.- Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images.- Deep Learning Based GABA Edited-MRS Signal Reconstruction.- Investigating the Impact of Attention on Mammogram Classification.- ReFit:A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images.- A Data-centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images.- \u003cb\u003eVisualization\u003c\/b\u003e.- Visualizing Multimodal Time Series at Scale.- Hybrid Tree Visualizations for Analysis of Gerrymandering.- ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data.- Spiro: Order-preserving Visualization in High Performance Computing Monitoring.- From Faces To Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans.- \u003cb\u003eVideo Analysis and Event Recognition\u003c\/b\u003e.- Comparison of Autoencoder Models for Unsupervised Representation Learning of Skeleton Sequences.- Local and Global Context Reasoning for Spatio-Temporal Action Localization.- Zero-Shot Video Moment Retrieval using BLIP-based Models.- Self-Supervised Representation Learning for Fine Grained Human Hand Action Recognition in Industrial Assembly Lines.- \u003cb\u003eST: Innovations in Computer Vision \u0026amp; Machine Learning for Critical \u0026amp; Civil Infrastructures\u003c\/b\u003e.- Pretext Tasks in Bridge Defect Segmentation within a ViT-Adapter Framework.- A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation.- Efficient Resource Provisioning in Critical Infrastructures based on Multi-Agent Rollout enabled by Deep Q-Learning.- Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer.- \u003cb\u003eST: Generalization in Visual Machine Learning\u003c\/b\u003e.- Latent Space Navigation for Face Privacy: A Case Study on the MNIST Dataset.- Domain Generalization for Foreground Segmentation Using Federated Learning.- Probabilistic Local Equivalence Certification for Robustness Evaluation.- Challenges of Depth Estimation for Transparent Objects.- Volumetric Body Composition through Cross-Domain Consistency Training for Unsupervised Domain Adaptation.- \u003cb\u003eComputer Graphics\u003c\/b\u003e.- Water Animation Using Coupled SPH and Wave Equation.- Neural Rendering into Unity.- Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination.- SwarmCurves: Evolutionary Curve Reconstruction.- \u003cb\u003eMedical Image Analysis\u003c\/b\u003e.- Brain Cortical Surface Registration with Anatomical Atlas Constraints.- When System Model meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging.- 3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem.- An Integrated Shape-Texture Descriptor for Modeling Whole-Organism Phenotypes in Drug Screening.- Enhancing Image Reconstruction via Phase-Constrained Data in an Iterative Process.- \u003cb\u003eBiometrics\u003c\/b\u003e.- I Got Your Emotion: Emotion Preserving Face De-identification Using Injection-based Generative Adversarial Networks.- DoppelVer: A Benchmark for Face Verification.- Two-stage Face Detection and Anti-spoofing.- \u003cb\u003eAutonomous Anomaly Detection in Images\u003c\/b\u003e.- Driver Anomaly Detection Using Skeleton Images.- Driver Anomaly Detection Using Skeleton Images.- Latent Diffusion based Multi-class Anomaly Detection.- \u003cb\u003eST: Artificial Intelligence in Aerial and Orbital Imagery\u003c\/b\u003e.- Investigating the impact of a low-rank tensor-based approach on deforestation imagery.- Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning A Case Study on Object Tracking Tasks.- Autonomous Navigation Via A Cascading CNN Framework Leveraging Synthetic Terrain Images.- \u003cb\u003eST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture\u003c\/b\u003e.- Synthetically labeled images for maize plant detection in UAS images.- An open source simulation toolbox for annotation of images and point clouds in agricultural scenarios.- Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms.- Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches.- Deep Learning for Super Resolution of Sugarcane Crop Line Imagery from Unmanned Aerial Vehicles.  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