Advances in Visual Computing

This 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.

The 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:

Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & 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.

Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.

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• Klappentext

  This 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. The 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: Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & 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. Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.

  Inhalt
  ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management.- 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.- Visualization.- 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.- Video Analysis and Event Recognition.- 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.- ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures.- 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.- ST: Generalization inVisual Machine Learning.- 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.- Computer Graphics.- 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.- Medical Image Analysis.- 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.- Biometrics.- 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.- Autonomous Anomaly Detection in Images.- Driver Anomaly Detection Using Skeleton Images.- Driver Anomaly Detection Using Skeleton Images.- Latent Diffusion based Multi-class Anomaly Detection.- ST: Artificial Intelligence in Aerial and Orbital Imagery.- 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.- ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.- 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.