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Full Description
The two-volume set 15725 and 15726 constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2025, held in Reykjavik, Iceland, during June 23-25, 2025.
The 60 revised full papers presented in these proceedings were carefully reviewed and selected from 98 submissions. The papers are organized in the following topical sections:
Part I: Machine learning and deep learning; Segmentation, Grouping, and Shape; Vision for robotics and autonomous vehicles; Biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; and Vision applications and systems.
Part II: Datasets and evaluation; Image and video processing, analysis, and understanding; Detection, recognition, classification, and localization in 2D and/or 3D; Medical, biological, and cell microscopy; Explainable AI for CV; Vision + language (+ other modalities); Computational photography; Fairness; and Low·level and physics·based vision.
Contents
.- Datasets and evaluation
.- FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking.
.- SunVid: A Curated Online Video Database for Sundown Syndrome Research .
.- Comparative Analysis of rPPG and Motion-Based Approaches for Heart and Respiration Rate Estimation from Videos.
.- Aligning Subjective and Objective Assessments in Super-Resolution Models.
.- Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data.
.- Image and video processing, analysis, and understanding.
.- A spectral-preserving zero-shot technique for hyperspectral pansharpening.
.- Characteristic-driven Deep Learning in Synthetic Aperture Radar Target Recognition.
.- Single-Image Localised Reflection Removal with k-Order Differences Term.
.- Detection, recognition, classification, and localization in 2D and/or 3D.
.- The Impact of Semi-Supervised Learning on Line Segment Detection.
.- Weak Cube R-CNN: Weakly Supervised 3D Detection using only 2D Bounding Boxes.
.- Training Binary Neural Networks with Deep Semantic Guidance.
.- Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations.
.- Quantifying Epistemic Uncertainty in Absolute Pose Regression.
.- EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation.
.- Subspace-Based Embedded Feature Reduction for Fast Anomaly Detection.
.- Medical, biological, and cell microscopy.
.- Active Learning with nnUNet for Coronary Artery Lumen Segmentation using a Centerline Prior.
.- Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review.
.- Determining Fetal Orientations From Blind Sweep Ultrasound Video.
.- A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology.
.- Assessing the Efficacy of Multi-Task Learning in Mammographic Density Classification: A study on Class Imbalance and Model Performance.
.- Fine-Grained Classification of Unpigmented Skin Cancer from Paired Dermatoscopy Images.
.- Explainable AI for CV.
.- A Meaningful Perturbation Metric for Evaluating Explainability Methods.
.- The Weighting Game: Evaluating Quality of Explainability Methods..
.- Vision + language (+ other modalities).
.- POEM: Precise Object-level Editing via MLLM control.
.- Food State Recognition from Recipes Using Multimodal Model for Task Monitoring in Autonomous Cooking Robots.
.- Computational photography.
.- Data-Efficient Limited-Angle Tomography Using Deep Priors and Regularization.
.- Fairness.
.- Are generative models fair? A study of racial bias in dermatological image generation.
.- Low·level and physics·based vision.
.- Demosaicing and Neural Network Based Image Reconstruction in the Presence of Noise.
