Image Analysis and Processing - ICIAP 2025 (eBook, PDF)

23rd International Conference, Rome, Italy, September 15-19, 2025, Proceedings, Part I
Redaktion: Rodolà, Emanuele; Masi, Iacopo; Galasso, Fabio

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 675
• Erscheinungstermin: 1. Januar 2026
• Englisch
• ISBN-13: 9783032101853
• Artikelnr.: 76269606

Inhaltsangabe

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.