E-raamat: Advances in Visual Computing: 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16-18, 2023, Proceedings, Part I

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.