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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
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.
