Pattern Recognition: 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings

Author:   Margret Keuper ,  Francesco Locatello
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032128393


Pages:   649
Publication Date:   03 January 2026
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $237.57 Quantity:  
Add to Cart

Share |

Pattern Recognition: 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings


Overview

This book constitutes the refereed proceedings of the 47th DAGM German Conference on Pattern Recognition, DAGM-GCPR 2025, held in Freiburg, Germany, during September 23-26, 2025. The 40 full papers presented in this volume were carefully reviewed and selected from 85 submissions.  They are grouped into the following topics: Computer Vision Systems and Applications; Video Analysis and Synthesis; Machine Learning Methods; Applications of Foundation Models; Safety and Robustness; 3D Perception and Reconstruction; Photogrammetry and Remote Sensing.

Full Product Details

Author:   Margret Keuper ,  Francesco Locatello
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032128393


ISBN 10:   3032128390
Pages:   649
Publication Date:   03 January 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

.- Computer Vision Systems and Applications. .-  Box it and Track it: A Weakly Supervised Framework for Cell Tracking. .- A Cascaded Dilated Convolution Approach for Mpox Lesion Classification. .- HistDiST: Histopathological Diffusion-based Stain Transfer. .- Deep Learning-Assisted Dynamic Mode Decomposition for Non-resonant Background Removal in CARS Spectroscopy. .- γ-Quant: Towards Learnable Quantization for Low-bit Pattern  Recognition. .- EVCS: A Benchmark for Fine-Grained Electric Vehicle Charging  Station Detection. .- Video Analysis and Synthesis. .-  SegSLR: Promptable Video Segmentation for Isolated Sign Language  Recognition. .- Video Object Segmentation-aware Audio Generation. .-  MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices. .- VisualChef: Generating Visual Aids in Cooking via Mask Inpainting. .- StorySync: Training-Free Subject Consistency via Region Harmonization. .-  Structured Universal Adversarial Attacks on Object Detection for  Video Sequences. .- Road Obstacle Video Segmentation. .- Machine Learning Methods. .- Don’t Miss Out on Novelty: Importance of Novel Features for Deep  Anomaly Detection. .- LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain  Translation. .- On the Dangers of Bootstrapping Generation for Continual Learning  and Beyond. .-  Combined Image Data Augmentations diminish the benefits of  Adaptive Label Smoothing. .- Efficient Masked Attention Transformer for Few-Shot Classification  and Segmentation. .- Applications of Foundation Models. .-  Using Knowledge Graphs to harvest datasets for efficient CLIP model  training. .- Unlocking In-Context Learning for Natural Datasets Beyond Language  Modelling. .-  Investigating Structural Pruning and Recovery Techniques for  Compressing Multimodal Large Language Models: An Empirical Study. .-  Assessing Foundation Models for Mold Colony Detection with Limited  Training Data. .- Common Data Properties Limit Object-Attribute Binding in CLIP. .-  subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation  in Drug Discovery. .- Safety and Robustness. .-  synth-dacl: Does Synthetic Defect Data Enhance Segmentation  Accuracy and Robustness for Real-World Bridge Inspections?. .- FedPCE: Federated Personalized Client Embeddings for Post-training  Knowledge Distillation. .- Object Risk Estimation for Autonomous Driving Safety. .- Rethinking Semi-supervised Segmentation Beyond Accuracy:  Robustness and Reliability. .-  Detection of Synthetic Face Images: Accuracy, Robustness, Generalization. .- 3D Perception and Reconstruction. .- MT-Occ: Single-View 3D Occupancy Prediction via Multi-Task Distillation. .-  Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D  Semantic Segmentation. .-  CoProU-VO: Combining Projected Uncertainty for End-to-End  Unsupervised Monocular Visual Odometry. .-  Combining Absolute and Semi-Generalized Relative Poses for Visual  Localization. .- Graph Roof Reconstruction with Synthetic Data from Misaligned Labels. .-  sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for  3D Reconstruction from Sparse-Views. .- Photogrammetry and Remote Sensing. .- NaT-ReX: Naturalness Assessment with Transformer-Based Reliable  Explainability. .-  Semantic Segmentation of Structural Damage: A Comparative Study  of YOLO11 and Encoder-Decoder Networks. .- Can Multitask Learning Enhance Model Explainability?. .-  Out-of-Distribution Detection in LiDAR Semantic Segmentation Using  Epistemic Uncertainty from Hierarchical GMMs. .- RadarSeq: A Temporal Vision Framework for User Churn Prediction  via Radar Sequence Chart.

Reviews

Author Information

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

NOV RG 20252

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List