Artificial Neural Networks and Machine Learning – ICANN 2025

34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part II

AvWalter Senn,Marcello Sanguineti

Häftad, Engelska, 2025

Del 16069 i serien Lecture Notes in Computer Science

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Beskrivning

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025.The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.

Produktinformation

Utgivningsdatum:2025-09-11
Mått:155 x 235 x 38 mm
Vikt:1 060 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:671
Förlag:Springer Nature Switzerland AG
ISBN:9783032045454

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- HARNet: Human Activity Recognition with Spatial-temporal Features..- Wavelet-based Self-image Blending for More General Face Forgery Detection..- HCNQA: Enhancing 3D Visual Question-Answering with Hierarchical Concentration Narrowing Supervision..- Text-Image Encoder-based Contrastive Regression for AI-Generated Image Quality Assessment..- Deblurring with Improved Video Diffusion Model..- Understanding Image Classification Prediction with Any Segment Explanation..- F2Unet: F-shaped U-Net Architecture for Medical Image Segmentation Combining Fourier Transforms..- Efficient Real-Time On-Mobile Video Super-Resolution with Automatic Evolutionary Neural Architecture Search..- Swin-DAG-VNet for Fetal Head Segmentation and Elliptical Parameter Regression for Circumference Measurement..- GPIS: Geometric Informed Polygon Prompt for Incision Segmentation..- Topological Enhancement Learning Module for Segmentation of Complex and Irregular Structures in 3D Medical Imaging..- Multi-Representation Adapter with Neural Architecture Search forEfficient Range-Doppler Radar Object Detection..- LPSF-LiDARNet: Log-Polar Spatiotemporal Fusion-Based LiDAR Point Cloud Semantic Segmentation for Autonomous Driving..- PSRDET: Fast Multimodal Detecton based on Prior Scene Repair for All-weather Road Sensing..- Art Style Backdoor Attacks on Semantic Segmentation Models..- CLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection..- Generalized Object Detection in the Infrared Domain based on Common-Representation Learning..- Balance Discriminability and Integrality for Robust Salient Object Detection..- Unsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild..- Towards Context-Aware Compositional Zero-Shot Food Recognition via SalientFusion..- SparWR: A Lightweight Architecture for Medical Grayscale Image Super-Resolution..- PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification..- Sparse Attention Diffusion Model for Pathological Micrograph Deblurring..- RDIF: Infrared and Visible Image Fusion Based on Reverse Cross-Attention and Diffusion Model..- RDGE-6D: Reverse Direction Geometry Injection for 6D Pose Estimation..- YOLO11n BSS: Examination Room Behaviors Detection Based on Improved YOLO11n Model..- Efficient Long-Term Motion Feature Learning via Frequency-Based Key Frame Guidance for Action Recognition..- Region Expansion: Optimization of Patch-fetching Method for Point Cloud Denoising..- SAMTNU: Adaptive Segment Anything Model for Thyroid and Nodule Ultrasound Image Segmentation..- AgileIR: Memory-Efficient Group Shifted Windows Attention for Lightweight Image Restoration..- Constrained Learnable Channel-wise Normalization for Single-Source Domain Generalization in Medical Image Segmentation..- FaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization..- Improving the Transferability of Point Cloud Attack via Spectral-aware Admix and Optimization Designs..- IHCP:Image Hiding against Blind Compression Based on Quality Prediction..- VideoPCDNet: Video Parsing and Prediction with Phase Correlation Networks..- Uncertainty Quantification in Video Distortion Classification under Dataset Shift..- PIMSeg: Point Cloud Segmentation via 2D Image Mapping and Multimodal Feature Integration..- Prototype-Guided Local Spatial Attention for Model Explanation..- Robustness Verification for Object Detectors using Set-Based Reachability Analysis..- Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation..- PaFi-GS: Gaussian Splatting via Propagation-Aware Filtering for Urban Street View Rendering..- Vision-Text Interaction with Orientation-Awareness for Referring Remote Sensing Image Segmentation..- U-FQA: A Unified Face Quality Assessment Score for Improved Unknown Identity Detection in Facial Recognition Systems..- DFU-Net: A Diffusion-based Fourier Neural Operator-aided U-Net Model for Medical Image Segmentation in Edge Devices..- An Enhanced Dual-Stream Architecture for State-of-the-Art Artist and Style Classification..- A Scene Text Detection Method Based on Supervised Contrastive Learning..- CM-MNet: A Coordinate Space-Aware Mamba-Based Multi-Task Model for 3D Fine Lesions in Elongated Structures Segmentation and Diagnosis in MS and NMOSD..- Problem-Driven and Shape-Guided: Multi-scale Deform KAN for X-shaped Anterior Visual Pathway Segmentation..- A Camouflaged Object Detection Network with Global Cross-space Perception and Flexible Local Feature Refinement Network..- See Beyond: Benchmarking MLLMs’ Visual Relational Reasoning Ability..- HeteroCap: Hierarchical Visual-Semantic Fusion with Heterogeneous Graphs for Image Captioning..- Dual-Head Feature Enhancement for Graph-Based Cross-View Multi-Object Tracking..- Semantic Enhanced Interaction for Unsupervised Cross-modal Hashing Retrieval.