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Full Description
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.
Contents
Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation.- Hierarchical Vision-Language Retrieval of Educational Metaverse Content in Agriculture.- Enhancing Testicular Ultrasound Image Classification Through Synthetic Data and Pretraining Strategies.- Classification of Spatial Patterns of Lymphocyte Infiltration in Gliomas from Whole Slide Imaging.- CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks.- MECAD: A Multi-Expert Architecture for Continual Anomaly Detection.- RAW-Mix: Region-Aware Mixing for Unsupervised Domain Adaptation in Object Detection.- Multiple Sclerosis Classification via Random Forest Distances Robust to Missing Data.- Revisiting Dictionaries of Key Poses for Action Representation.- Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation.- A Handful of Data: Evaluating Few-Shot Incremental Landmark Detection.- ExDD: Explicit Dual Distribution Learning for Surface Defect Detection via Diffusion Synthesis.- When Does Pruning Benefit Vision Representations?- WARD: Weather-Aware Road Surface Condition Monitoring Dataset.- Skeleton-Based Action Recognition for the Biomechanical Risk Condition Assessment.- Truth or Lie: An Audio-Visual Approach to Deception Detection.- Momaku: A Retinal Image Annotation Platform.- ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation.- A Study on Multimodal Foundation Models for Affective Video Prediction.- Leveraging Multi View Weak Supervision for Occlusion-Aware Multi-Human Parsing.- T-EVO: Tracking in Egovision for Online Visual Episodic Memory.- Diffusion-Detect: Synthetic and Real Data Towards a Robust Fire and Smoke Detection.- Augmented Reality in Cultural Heritage: A Dual-Model Pipeline for 3D Artwork Reconstruction.- An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System.- How to Train Your Metamorphic Deep Neural Network.- Fault Tolerant Multi-Object Tracking via Temporal Consistency Filtering.- Ego-Exo Object Correspondence by SAM2 and Cross-View Prompting.- Deep Multi-Band EEG Learning for Motor Imagery Classification with Dry Electrodes.- A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation.- Multimodal Deepfake Detection with Large Vision-Language Models: The State of the Art.- Ego and Exo Views for an Object-Level Human Behavior Analysis and Understanding through Tracking in Retail Spaces.- UAV-Based Photovoltaic Farm Maintenance System.- Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification.- Pre-NeRF: Evaluating Preprocessing Approaches to Mitigate Real-World Corruptions in NeRF Reconstruction.- Single-Path Precision: Differentiable Bit-Width Numeric-Format Learning for FPGA-Efficient Neural Networks.- Diversified In-Domain Synthesis with Efficient Fine Tuning for Few-Shot Classification.- Inpainting of Ancient Chinese Character Rubbings via Generative Adversarial Network.- Estimation of Particle Growth Kinetics via Physics-Informed Neural Networks.- Graph-Based Evaluation of Visual Brain Decoding from fMRI Data.- A SAM-Based Automated Schistocyte Detection Pipeline in Peripheral Blood Smear Images.- MORE: A Framework for Stable White Blood Cell Morphological Classification and Report Generation.- How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?- Deep Transductive Learning for Person Re-Identification.- Efficient Oblique Stripe Noise Detection and Removal Using Hough Transform and Guided Filter.- Multimodal Emotion Recognition via Multilevel Fusion of Visual, Audio, and Textual Data.- Business Activity Classification Extraction from Commercial Footage: A Multimodal LLM Approach Based on CNAE (Comparable to NACE and NAICS).- Evaluating Attribute Confusion in Fashion Text-to-Image Generation.- Multi-Swimmer Drowning Detection Using a Custom Annotated Underwater Dataset and Real-Time AI.- Unravelling Neurodivergent Gaze Behaviour through Visual Attention Causal Graphs.- NeSyLAD: A Neuro Symbolic Approach for Unsupervised Logical Anomaly Detection.- Multimodal Distillation for Video-Based Sleep Behavior Analysis.- HoSVD-NSST Framework for Secure Dual Medical ImageWatermarking Using Deep Learning.
