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This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024.
The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections:
Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability.
Part II: Modelling of Faces and Shapes; Image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and Remote Sensing.
.- Modelling of Faces and Shapes.
.- 360° Volumetric Portrait Avatar.
.- How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations.
.- A Latent Implicit 3D Shape Model for Multiple Levels of Detail.
.- Image Generation and Reconstruction.
.- Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography.
.- Expanding the Image Embedding Space for Language-Free Text-to-Face Image Generation.
.- Towards synthetic generation of realistic wooden logs.
.- 3D Analysis and Sythesis.
.- G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Styles.
.- LiFCal: Online Light Field Camera Calibration via Bundle Adjustment.
.- CARLA Drone: Monocular 3D Object Detection from a Different Perspective.
.- Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors.
.- DynaPix SLAM: A Pixel-Based Dynamic Visual SLAM Approach.
.- Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression.
.- Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis.
.- Physically Plausible Object Pose Refinement in Cluttered Scenes.
.- Gaussian Splatting in Style.
.- Video Analysis.
.- Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified.
.- STAR: Screen Time and Actor Recognition in Video Content.


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