Cover image for Advances in Visual Computing 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16-18, 2023, Proceedings, Part I
Title:
Advances in Visual Computing 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16-18, 2023, Proceedings, Part I
Author:
Bebis, George. editor.
ISBN:
9783031479694
Edition:
1st ed. 2023.
Physical Description:
XLII, 614 p. 258 illus., 221 illus. in color. online resource.
Series:
Lecture Notes in Computer Science, 14361
Contents:
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. .
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