Image Analysis and Processing - ICIAP 2025 Workshops by Rodolà, Emanuele; Galasso, Fabio; Masi, Iacopo;

Hosszú leírás:

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).

Tartalomjegyzék:

4th Automatic Affect Analysis and Synthesis Workshop (3AS 2025).- Original Versus Zero-Shot Prompted AI Visuals: Examining Human Feedback to Corporate Sustainability Reporting.- EEG-Based Mental Stress Detection: A Comparative and Explainable Study Across Tasks and Subjects.- Seeing Beyond: Unlocking Image Emotion with Contextual Depths.- Zero-Shot Evaluation of Commercial Software and State-of-the-Art FER Models on Standardized Datasets.- Privacy through Data-Efficiency: Sparse Temporal Difference Videos for Emotion Classification Utilizing Vision Transformers.- Decoding Facial Expressions in Video: A Multiple Instance Learning Perspective on Action Units.- A Pilot Study Exploring the Alignment of Humans and CNN During Perception of Social Interactions.- Decoding Affective States from fMRI Using Automatically Labeled Multi-Modal Movie Stimuli.- International Workshop on Advances in Drone Vision (ADV 2025).- Application of Object-Based Image Analysis to Drone Data for the Monitoring of Methane Emissions in Landfills.- UKANWeed: An application of Kolmogorov-Arnold Networks to Weed Mapping.- A Weakly-Supervised Learning Approach for RGB Crop Detection Using UAV Imagery.- ConvNeXt Based Architecture for Crowd Counting in Highly Crowd Environments.- 3rd International Workshop on Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD 2025).- A Fully Automatic Patch-Based Deep Learning Pipeline for Mass and Microcalcification Detection in Mammography: A Preliminary Study.- Preliminary Radiomics Based Classification of Tumor Nuclei in Melanoma Histopathology.- Mask-Aware Transformers Enable Robust Learning from Incomplete Volumetric Medical Imaging.- A Generalized Gray Level Co-occurrence Matrix for Rotation-Invariant Texture Detection in Radiomics.- Machine Learning in Mammography Classification: A Radiomics-Based Evaluation and Developments.- Variational Radiomics for Active Surfaces.- Radiomic Analysis of Mouse Magnetic Resonance Images and Correlation of Features Extracted to Vascular Defects in Sickle Cell Disease: Preclinical Applications.- Radiomic Analysis of MR and PET Images of Mice to Identify Possible Microstructural Changes Associated with Early Molecular Changes During Nigral Neuron Deafferentation.- Automated Prostate Gland Detection in MRI Using YOLOv8: A Deep Learning Approach for Early Diagnosis.- Artificial Intelligence Assisted Image Segmentation in Scratch Wound Healing Assays Using Threshold and Level Set Methods.- Unsupervised MR to CT Synthesis: A Comparative Analysis of Explicit Structural Constrained Adversarial Learning and Adversarial Diffusion Models.- Paravertebral Space Muscles Segmentation in Patients with Oral Squamous Cell Carcinoma: A Preliminary Step for Radiomics Studies.- Preliminary Study Exploring the Potential of ML Models Applied to Radiomic Features Extracted from PSMA-PET: Prediction of the PRIMARY and E-PSMA Scores in the Evaluation of Primary PCa Lesions.- Prostate MRI Segmentation: A Comparative Analysis of U-Net and E-Net Deep Learning Models.- A Template Independent Method for Parkinson’s Diagnosis from Handwritten Patterns.- 2nd International Workshop on Computer Vision for Environment Monitoring and Preservation (CVEMP 2025).- Leveraging Annotation Efficiency Strategies for AI-Driven Detection and Segmentation of Fruits, Flowers, and Diseased Leaves.- A Deep Learning Model to Predict GNSS from InSAR Data.- Enhancing Camouflaged Object Detection via Diffusion Model Augmentation.- Seeing the Heat: Vision Transformers for Spatiotemporal Temperature Prediction.- Workshop on Computer Vision and Generative Models for Medical Imaging (CVGMMI 2025).- Supporting Cardiac MRI Generation with High Fidelity Digital Twin.- GeMM-GAN: A Multimodal Generative Model Conditioned on Histopathology Images and Clinical Descriptions for Gene Expression Profile Generation.- A Comparative Evaluation of Diffusion Based Networks for Multiple Sclerosis Lesion Segmentation.- Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation.- Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation.- Human-Object Interaction: Integrating Egocentric and Exocentric Perspectives (HOI-EGO-EXO 2025).- A Benchmark of Egocentric Scene Graph Prediction Methods for Understanding Human-Object Interactions.- A Real-Time System for Egocentric Hand-Object Interaction Detection in Industrial Domains.- Toward Trustworthy AI in Retail: A Case Study of Vending Machines in Public Environments.- From Smart Assistants to Smart Spaces: AI in Fashion Retail and the Emerging Need for In-Store Behavioral Intelligence.- 4th InternationalWorkshop on Fine Art Pattern Extraction and Recognition (FAPER 2025).- Face Detection in Historic Manuscripts A Case Study on the Wenceslas Bible.- Data Augmentation via Latent Diffusion Models for Detecting Smell-Related Objects in Historical Artworks.- Have Large Vision-Language Models Mastered Art History?- Exploring Image Watermarking in Digital Collections of Ancient Coins.- The Evolution of Light in Caravaggio’s Oeuvre.- From NUMMI DIGITALI to NUmmi DIgitali towards Europe (NUDItEu).- Unveiling Visual Features in Artwork Classification: Towards Explainable Vision Transformers in the Arts.- 2nd Workshop on Generation of Human Face and Body Behavior (GHB 2025).- Enhancing 3D Reconstruction: A Preliminary Study on Geometric Algebra Based Loss.- SISMA: Semantic Face Image Synthesis with Mamba.- 1st International Workshop on Humans in the eXtended Artificial Intelligence Loop (HUARL 2025).- Towards a Human-in the-Loop Framework for Swarm Intelligence- Driven Dance Generation.- On the LLM Robustness in a Simulated Conversational XR Scenario: A Preliminary Semantic Analysis.- A Modular and Efficient Framework for the Development of Large Language Model-Based Virtual Humans: An Educational Scenario.- XRidge: Enabling Cross-Reality Co-Creation with Generative AI and LLMs.- The Digital Garment: A Comparative Study of 3D Digitisation Techniques for Fashion Heritage.