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Full Description
This two-volume set LNCS 16169-16170 constitutes the refereed proceedings of the 23rd International Conference on Image Analysis and Processing, ICIAP 2025 Workshops, held in Rome, Italy, during September 15-19, 2025.
The 105 papers included in these proceedings were carefully reviewed and selected from 348 submissions. The papers are organized in the following topical sections:
Volume I:
4th Automatic Affect Analysis and Synthesis Workshop (3AS 2025); International Workshop on Advances in Drone Vision (ADV 2025); 3rd International Workshop on Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD 2025); 2nd International Workshop on Computer Vision for Environment Monitoring and Preservation (CVEMP 2025); Workshop on Computer Vision and Generative Models for Medical Imaging (CVGMMI 2025); Human-Object Interaction: Integrating Egocentric and Exocentric Perspectives (HOI-EGO-EXO 2025); 4th International Workshop on Fine Art Pattern Extraction and Recognition (FAPER 2025); 2nd Workshop on Generation of Human Face and Body Behavior (GHB 2025); and 1st International Workshop on Humans in the eXtended Artificial Intelligence Loop (HUARL 2025).
Volume II:
1st Workshop on Innovative Medical image Processing with AI-driven preCision Technologies (IMPACT 2025); INSAIT: INterpretable Systems for Artificial Intelligence Transparency (INSAIT 2025); 1st Workshop on Advances in Modular Deep Learning; Neuro-Inspired AI; 5th International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2025); Reliable AI and Uncertainty Quantification in Image Analysis (RelAI 2025); 4th International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S 2025); 2nd Workshop on Trustworthy Generative AI for Image and Video Synthesis: Challenges, Ethics, and Applications (TRUEGEN-VIS 2025); 2nd International Workshop on Video Surveillance Systems in Smart Cities: Synthetic Images and Foundation Models for Advanced Monitoring Technologies (V3SC 2025); 4th International Workshop on Recent Advances in Digital Security: Biometrics and Forensics (BioFor 2025); 1st International Workshop on Imaging, AI, VR and AR in Food Research to Enhancing Safety, Quality and Consumer Insights (ImagEAT 2025); Alternative Visual Domains for Detection, Tracking and Forecasting (AVD 2025); Dual Factor Lip-Based Biometric User Authentication; 2nd International Contest on Real-Time Fire Detection on the Edge (ONFIRE 2025); and OCT-Cyst Challenge: A Competition for Cyst Segmentation in Optical Coherence Tomography Images (OCT-Cyst Challenge 2025).
Contents
1st Workshop on Innovative Medical image Processing with AI-driven preCision Technologies (IMPACT 2025).- Automated Specular Reflection Detection Using Weak Annotation for Deep Learning Training.- Detection of Drug Abuse through CNNs and ViTs: A Comparative Analysis of Performance and Explainability.- A Privacy-Preserving Method for Explainable Multiple Sclerosis Detection through Federated Machine Learning.- Scale-Aware Fractal-Lacunarity Analysis of Handwriting for Alzheimer's Disease Classification.- Biatrial Segmentation from Cine MRI Using Convolutional and Attention Networks.- Carbon Nanoparticles in Breast Cell Imaging for CNN-Based Tumor Detection.- Uncovering Lung Lesion Patterns in Computed Tomography Scans through Topological Machine Learning.- Quantum Machine Learning-Based Detection of Retinopathy in Retinal Images of Diabetic Patients.- Semi Supervised Classification with Augmented-Laplacian SVM: Application to MammoWave Breast Cancer Data.- Speed-Performance Balance in Constrained Attention-based Models for Endoscopy Video Sequences.- AIDA: AI-Driven Intelligent Diagnostics and Analytics.- AI in Pediatric Urology: Deep Learning-Based Approach Supporting Posterior Urethral Valves Diagnosis on VCUG Imaging.- INSAIT: INterpretable Systems for Artificial Intelligence Transparency (INSAIT 2025).- 1st Workshop on Advances in Modular Deep Learning.- DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning.- Continual Object Learning Using Gaussian Modeling.- ATM: Improving Model Merging by Alternating Tuning and Merging.- Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity.- Neuro-Inspired AI.- Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning.- 5th International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2025).- The Impact of Template Matching Threshold on Scribe Identification in Medieval Books.- Wenceslas or Not - Face Comparison on Frana's Wenceslas Depiction in the Wenceslas Bible.- Enhancing Cultural Heritage Accessibility with Markerless Visual Recognition.- Preserving Sardinian Linguistic Diversity: An Automatic Language Identifier Approach.- A Modular AI-Powered Framework for Semantic Retrieval and Dialogue in Serious Games for Cultural Heritage.- JoinPap: Learning-Based Matching for the Reconstruction of Fragmentary Papyri.- Reliable AI and Uncertainty Quantification in Image Analysis (RelAI 2025).- Bayesian Attention Fusion for Multimodal Multiple Sclerosis Prediction.- Trustworthy Segmentation in Digital Breast Tomosynthesis: A Preliminary Study on Uncertainty-Aware Attention UNet Ensembles.- Remind Me of Something? Zero-Shot Learning for Trustworthy Image Comparison in Rolling Stock.- 4th International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S 2025).- Latency Considerations in the Context of Traffic and Street Surveillance Using Adaptive Streaming.- Real-Time LiDAR Object Detection on Edge Devices via Adaptive Cropping.- YOLO-FFCM: Real-Time Pedestrian Detection in Traffic Scenes Using YOLO and Feature Fusion Context Module.- 2nd Workshop on Trustworthy Generative AI for Image and Video Synthesis: Challenges, Ethics, and Applications (TRUEGEN-VIS 2025).- Attribution of AI-Generated Images Across Multiple Models: A Benchmark.- GenAI Paradox: Balancing Creative Innovation with Authenticity, Ethics, and Legal Compliance.- Stable Diffusion for Imbalanced Detection Datasets: a Trustworthy Approach to Generate Guided Synthetic Biomedical Image Samples.- 2nd International Workshop on Video Surveillance Systems in Smart Cities: Synthetic Images and Foundation Models for Advanced Monitoring Technologies (V3SC 2025).- Real-Time Object Detection in Urban Traffic: Leveraging Automated Image Data Annotation for Object Detection Model Training.- On the Robustness of Vehicles Localisation Methods from Aerial Images.- 4th International Workshop on Recent Advances in Digital Security: Biometrics and Forensics (BioFor 2025).- A Framework Proposal for Privacy-Preserving Contact Tracing Using Geometrical Boundaries.- Large-Scale Security Seal Verification with Computer Vision Algorithms.- Enhancing Iris Recognition through Advanced VIS-to-NIR Image Translation.- 1st International Workshop on Imaging, AI, VR and AR in Food Research to Enhancing Safety, Quality and Consumer Insights (ImagEAT 2025).- Discriminating Short-Term Moisture Changes in Stuffed Pasta Using Deep Computer Vision.- Hyperspectral Imaging and Machine Learning for Geographic Discrimination of Wheat Flours.- Deep Learning for Tomato Ripeness Detection: A YOLO-Based Approach.- Alternative Visual Domains for Detection, Tracking and Forecasting (AVD 2025).- Large-Scale Synthetic Side-Scan Sonar Dataset Generation and Super-Resolution Enhancement for Underwater Mine Detection.- Benchmark on Monocular Metric Depth Estimation in Wildlife Setting.- Dual Factor Lip-Based Biometric User Authentication.- Multimodal Biometric Authentication Using Lip Motion and Spoken Passphrases.- 2nd International Contest on Real-Time Fire Detection on the Edge (ONFIRE 2025).- ONFIRE Contest 2025: Fire and Smoke Detection in Real-Time on the Edge.- Event-GPT: Sequence-Aware Video Event Classification via LoRA-Tuned GPT.- Real-Time Fire Recognition Method for Surveillance System Based on DenseNet and Transformer.- OCT-Cyst Challenge: A Competition for Cyst Segmentation in Optical Coherence Tomography Images (OCT-Cyst Challenge 2025).- A Transformer-Based Framework for OCT Cyst Segmentation.- CystSeg: A New Dataset for Automatic Cyst Segmentation.- Deep Ensemble with Voting Mechanism for OCT Cyst Segmentation.
