Image Analysis and Processing – ICIAP 2025: 23rd International Conference, Rome, Italy, September 15–19, 2025, Proceedings, Part I(16167 Lecture Notes in Computer Science)

About the Book

This two-volume set LNCS 16167-16168 constitutes the refereed proceedings of the 23rd International Conference on Image Analysis and Processing, ICIAP 2025, held in Rome, Italy, during September 15-19, 2025.

The 104 papers included in these proceedings were carefully reviewed and selected from 178 submissions. They covered a broad and evolving spectrum of topics in Computer Vision, Image Analysis, Pattern Recognition, and Machine Learning, spanning both foundational theories and impactful applications.

Table of Contents:
Incremental Object-Based Novelty Detection with Feedback Loop.- Zero-Shot Neural Architecture Search for Efficient Deep Stereo Matching.- DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector.- KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices.- SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging.- FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation.- Confidently Biased (ConB): A Per-Sample Confidence Approach for Unsupervised Model Debiasing.- A Reinforcement Learning Framework for Optimizing Predictive Maintenance of Photovoltaic Systems.- Unsupervised Segmentation for Reliable Estimation of Stratum Corneum Thickness Using LC-OCT.- MATE: Multimodal Agent that Talks and Empathizes.- Intrinsic Training Signals for Federated Learning Aggregation.- Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning.- Deep Multimodal Fusion for 2D-3D Vineyard Scene Understanding.- There is No Model to Beat Them All: Recommendations for Deep Learning Model Selection when Training on Synthetic Images.- SVGauge: Towards Human-Aligned Evaluation for SVG Generation.- A Second-Order Perspective on Pruning at Initialization and Knowledge Transfer.- Depth and Event-Based Approaches for Human Detection and Pose Estimation.- Comparative Analysis of Lightweight Vision Models on Embedded Accelerator Devices.- Efficient Single Image Super-Resolution for Images with Spatially Varying Degradations.- MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport.- Predicting Soccer Penalty Kick Direction Using Human Action Recognition.- AI-Driven Visual Monitoring of Industrial Assembly Tasks.- Benchmarking Content-Based Puzzle Solvers on Corrupted Jigsaw Puzzles.- Successful 3D Reconstructions of Underwater World War II Wreckage.- Explainable Machine Learning for Earthquakes: SHAP Interpretation of CNNs to Distinguish Seismic Spectrograms of Foreshocks and Aftershocks.- RoadFusion: Latent Diffusion Model for Pavement Defect Detection.- Historical Postcards Classification Combining Visual Content and Text Description.- VidCLearn: A Continual Learning Approach for Text-to-Video Generation.- Ensemble-Enhanced Semantic Segmentation for Efficient Waste Recycling.- FSMDet: Vision-Guided Feature Diffusion for Fully Sparse 3D Detector.- Efficient Odd-One Out Anomaly Detection.- Physics-Based 3D Simulation for Synthetic Data Generation and Failure Analysis in Packaging Stability Assessment.- Segmenting Anything in Architecture: a Tailored Approach to Segmenting Floor Plan Documents.- Automated Instance Label Generation for Traffic Domain to Enhance YOLACT-YOLO.- Accelerating YOLO with EOBranch: An Early Exit Approach for Adaptive Object Detection.- Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video.- Zero-Shot Fibers Detection in Scanning Electron Micrographs.- 7Bench: a Comprehensive Benchmark for Layout-guided Text-to-image Models.- Efficient Attention on Microcontrollers via Linearized Transformer Blocks.- VS-Sim: A Synthetic Dataset for Viewpoint Shift Robustness.- Few-Shot Anomaly Classification by Learning to Inpaint Nominal Images.- AGCD-Net: Attention Guided Context Debiasing Network for Emotion Recognition.- Prompt-Based Consistent Video Colorization.- An Investigation on Incremental Learning from Unbalanced Streamed Data.- Improving Generative Data Augmentation with Prior-Knowledge for Dysplasia Grading of Colorectal Polyps.- Automatic Benchmarking of Large Multimodal Models via Iterative Experiment Programming.- High-Fidelity Infrared Scenario Simulation with Conditional CycleGAN.- Multi-Frame Alignment for Video Super-Resolution Using Attention.- D2R2: Deep-Learning Based Real-Time Dense Object Reconstruction.- Unsupervised Anomaly Localization in the Wild via Token Optimization and Test-Time Score Correction.- Enhancing Scene Segmentation Using Spatial Relationships: A Case Study on Byzantine Seals.- Image Specific Protection Against Manipulation.