Artificial Neural Networks and Machine Learning - ICANN 2025: 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part II

by Walter Senn (Editor), Marcello Sanguineti (Editor), Ausra Saudargiene (Editor), Igor V. Tetko (Editor), Alessandro E. P. Villa (Editor)

Overview

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.

Product Details

ISBN-13:	9783032045461
Publisher:	Springer-Verlag New York, LLC
Publication date:	10/12/2025
Series:	Lecture Notes in Computer Science , #16069
Sold by:	Barnes & Noble
Format:	eBook
File size:	130 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- 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.