Pattern Recognition: 45th Dagm German Conference, Dagm Gcpr 2023, Heidelberg, Germany, September 19-22, 2023, Proceedings (Paperback, 2024)

Segmentation and action recognition.-?Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions.-?A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Temporal Action Detection.-?Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery.-?UGainS: Uncertainty Guided Anomaly Instance Segmentation.-?Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition.-?3D reconstruction and neural rendering.-?LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds.-?A Network Analysis for Correspondence Learning via Linearly-Embedded Functions.-?HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture.-?Point2Vec for Self-Supervised Representation Learning on Point Clouds.-?FullFormer: Generating Shapes Inside Shapes.-?GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Human View Synthesis.-?RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion.-?Parallax-aware Image Stitching based on Homographic Decomposition.-?Photogrammetry and remote sensing.-?DustNet: Attention to Dust.-?Leveraging Bioclimatic Context for Supervised and Self-Supervised Land Cover Classification.-?Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images.-?Characterization of out-of-distribution samples from uncertainty maps using supervised machine learning.-?Underwater multiview stereo using axial camera models.-?Pattern recognition in the life sciences.-?3D Retinal Vessel Segmentation in OCTA Volumes: Annotated Dataset MORE3D and Hybrid U-Net with Flattening Transformation.-?M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms.-?Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping.-?Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing.-?Self-Supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading.-?Interpretable machine learning.-?DeViL: Decoding Vision features into Language.-?Zero-shot Translation of Attention Patterns in VQA Models to Natural Language.-?Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization.-?Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification.-?Weak supervision and online learning.-?Best Practices in Active Learning for Semantic Segmentation.-?COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking.-?Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality.-?Speeding Up Online Self-Supervised Learning by Exploiting Its Limitations.-?Text-to-feature diffusion for audio-visual few-shot learning.-?Correlation Clustering of Bird Sounds.-?MargCTGAN: A ``Marginally'' Better CTGAN for the Low Sample Regime.-?Robust models.-?Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks?Adversarial Perturbations Straight on JPEG Coefficients.-?Certified Robust Models with Slack Control and Large Lipschitz Constants.-?Multiclass Alignment of Confidence and Certainty for Network Calibration.-?Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels.-?An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness.