Advances in Visual Computing : 20th International Symposium, ISVC 2025, Las Vegas, NV, USA, November 17-19, 2025, Proceedings, Part I (Lecture Notes in Computer Science)

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Advances in Visual Computing : 20th International Symposium, ISVC 2025, Las Vegas, NV, USA, November 17-19, 2025, Proceedings, Part I (Lecture Notes in Computer Science)

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Full Description

This two-volume set constitutes the proceedings of the 20th International Symposium, ISVC 2025, held in Las Vegas, NV, USA, during November 17-19, 2025.

The 54 full papers and 18 poster papers were carefully reviewed and selected from 118 submissions. The papers cover the following topical sections:
Part I: Deep Learning; Computer Graphics; Motion and Tracking; Applications; Object Detection and Recognition; Medical Imaging, and Virtual Reality.
Part II: Segmentation; 3D; Recognition; Video Analysis and Event Recognition; Biometrics; Visualization, and Poster.

Contents

.- Deep Learning.
.-  Effective Fine-Tuning with Eigenvector Centrality Based Pruning.
.- Continual Learning for Image Captioning through Improved Image-Text Alignment.
.-  NeuroShield-ViT: Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers.
.- CATCH: A Modular Cross-domain Adaptive Template with Hook.
.-  PPP: Performance Preserving Pruning for Deep Neural Networks.
.-  Computer Graphics.
.- Joint Neural SDF Reconstruction and Semantic Segmentation for CAD Models.
.- Scheduling the Off-Diagonal Weingarten Loss of Neural SDFs for CAD Models.
.-  PPREDICTING UNCANNY PERCEPTION IN VIRTUAL HUMANS FACES THROUGH IMAGE FEATURES.
.-  Extreme Views: 3DGS Filter for Novel View Synthesis from Out-of-Distribution Camera Poses.
.-  Indoor Heat Estimation from a Single Visible-Light Panorama.
.- Motion and Tracking.
.-  Long-Term Prediction of Local and Global Human Motion with Occlusion Recovery.
.-  Enhanced Vehicle Speed Detection Considering Lane Recognition Using Drone Videos in California.
.- A Video-Based Fish Counting System for Juvenile Fish Transferred with Water Flow in Aquaculture.
.-  A Geometry-Driven Approach to Detecting and Tracking Multiple Aerial Objects.
.-  Synthetic Data Enabled Under the Cover Human Pose Estimation using RGB Images.
.- Applications.
.- Object-Based Camera Pose Estimation from a Single Object Detection and Gravity Vector.
.-  Leveraging Multimodal LLMs for Building Condition Assessment from Street-View Imagery.
.-  Taming Inversion Drift: A Dynamic Look-ahead Controller for Rectified Flow Models.
.-  Variable Rate Image Compression via N-Gram Context based Swin-transformer.
.-  Abnormality Detection in Maize Fields Using Selective Domain Adaptation-Driven Data Augmentation.
.- Object Detection and Recognition.
.- UniRare: Framework Reconciling Bottom-Up and Top-Down Attention in Visual Saliency.
.-  The Hidden Cost of Poor Annotations: How Label Quality Affects Camouflaged Object Detection Performance.
.-  Self-supervised structured object representation learning.
.-  YOLOv8-Based Detection and Classification of Plant Cells in Light Micrographs.
.-  Task-Conditioned Next-Fixation Prediction in Assembly Tasks.
.-  Medical Imaging.
.-  ColonMeshNet: Fusing Local and Global Context for Accurate 3D Colon Segmentation.
.-  Leveraging Autoencoder-Based Filters to Enhance Automated Medical Classifiers.
.-  Interpretable Tile-Based Classification of Paclitaxel Exposure.
.-  Self-Supervised Representation Learning for AI-Based Musculoskeletal Radiograph Registry Construction.
.-  Features for Measuring the Progression of Gastric Atrophy Focused on Gastric Areae Shadow Pattern in X-ray Images of Stomach.
.- Virtual Reality.
.- Gaze Prediction in Virtual Reality Without Eye Tracking Using Visual and Head Motion Cues.
.-  Examining Visual Discomfort Associated with Perceived Depth Changes in Optical See-Through Augmented Reality.
.-  Evaluating Stepwise Increases in Degrees of Freedom from Walking to Manipulation for Immersive Analytics.
.-  Shadow-Based Touch Detection for Virtual Forearm Keyboards in AR Text Entry.
.- LiFMCR: Dataset and Benchmark for Light Field Multi-Camera Registration.

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