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Inhaltsverzeichnis
.- 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.
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- 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.
Zusammenfassung
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.
