Description
This book covers a wide range of highly qualified papers presented at the Computer Vision Conference 2026, held on May 21 22, 2026, in Amsterdam, Netherlands. The paper submissions for this conference were received from researchers, academicians, and industry practitioners from various countries. To ensure the high standards of originality, technical quality, and relevance to the conference themes, all papers were double-blind peer-reviewed to ensure that the final published papers meet high standards of originality, technical quality, and relevance to the conference theme.
Altogether, this book covers the current research trends, offers valuable insights, and addresses real-world problems. This inspires future investigations and developments in the field of Machine Vision and Deep Learning, Image Processing, Data Science, and Applications.
We hope that this book of the proceedings serves as a valuable reference for researchers and practitioners and contribute to continued exploration, collaboration, and innovation in the rapidly evolving field of computing.
Ensemble-Aware YOLO Architectures for Robust Object Detection in Dense Urban Aerial Imagery.- On Automating the Classification of Building Type and Age: A Multi-Source Machine Learning-Based Comparison.- Unveiling the Roof: Anomaly Detection in Train Pantographs.- AI-Powered Virtual White Cane.- Towards Automated Detection of Bookbinding Tool Impressions: A Pilot Study.- A Simple Automatic Method for Generating Head and Upper-Body Segmentation Datasets from Depth Data.- SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR.- ViGATOR: Explainable Graph-Based Video RAG and Summarization.- Sub-region Aware Modality Fusion and Adaptive Prompting for Multi-modal Brain Tumor Segmentation.- Creating Calming Virtual Reality Environments for Anxiety Relief.
