Image Analysis and Processing - ICIAP 2025

This two-volume set LNCS 1616716168 constitutes the refereed proceedings of the 23rd International Conference on Image Analysis and Processing, ICIAP 2025, held in Rome, Italy, during September 1519, 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.

Klappentext

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.

Inhalt

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.