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Pattern Recognition : 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings / edited by Margret Keuper, Francesco Locatello.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Keuper, Margret.
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 16125
- Language:
- English
- Subjects (All):
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Artificial intelligence.
- Computer systems.
- Education--Data processing.
- Education.
- Application software.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer System Implementation.
- Computers and Education.
- Computer and Information Systems Applications.
- Local Subjects:
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer System Implementation.
- Computers and Education.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (1012 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- 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.
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-12840-4
- 9783032128409
- OCLC:
- 1568062080
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