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Pattern Recognition

45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19–22, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Ullrich Köthe

    1. IWR, Heidelberg University, Heidelberg, Germany

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  2. Carsten Rother

    1. IWR, Heidelberg University, Heidelberg, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14264)

Included in the following conference series:

Conference proceedings info: DAGM GCPR 2023.

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About this book

This book constitutes the proceedings of the 45th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2023, which took place in Heidelberg, Germany, during September 19-22, 2023. The 40 full papers included in these proceedings were carefully reviewed and selected from 76 submissions. They were organized in topical sections as follows: Segmentation and action recognition; 3D reconstruction and neural rendering; Photogrammetry and remote sensing; Pattern recognition in the life sciences; Interpretable machine learning; Weak supervision and online learning; Robust models.

Keywords

Table of contents (40 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Segmentation and Action Recognition

    1. Front Matter

      Pages 1-1
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    2. Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions

      • Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
      Pages 3-17

    3. A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Temporal Action Detection

      • Christian Stippel, Thomas Heitzinger, Martin Kampel
      Pages 18-33

    4. Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery

      • Seyed Majid Azimi, Reza Bahmanyar
      Pages 34-49

    5. UGainS: Uncertainty Guided Anomaly Instance Segmentation

      • Alexey Nekrasov, Alexander Hermans, Lars Kuhnert, Bastian Leibe
      Pages 50-66

    6. Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition

      • Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper
      Pages 67-82

  3. 3D Reconstruction and Neural Rendering

    1. Front Matter

      Pages 83-83
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    2. LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

      • Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl et al.
      Pages 85-99

    3. A Network Analysis for Correspondence Learning via Linearly-Embedded Functions

      • Sharik Siddiqi, Zorah Lähner
      Pages 100-114

    4. HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture

      • Jiayin Zhu, Zhuoran Zhao, Linlin Yang, Angela Yao
      Pages 115-130

    5. Point2Vec for Self-supervised Representation Learning on Point Clouds

      • Karim Abou Zeid, Jonas Schult, Alexander Hermans, Bastian Leibe
      Pages 131-146

    6. FullFormer: Generating Shapes Inside Shapes

      • Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper
      Pages 147-162

    7. GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Human View Synthesis

      • Youssef Abdelkareem, Shady Shehata, Fakhri Karray
      Pages 163-177

    8. RC-BEVFusion: A Plug-In Module for Radar-Camera Bird’s Eye View Feature Fusion

      • Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason Rambach, Didier Stricker
      Pages 178-194

    9. Parallax-Aware Image Stitching Based on Homographic Decomposition

      • Simon Seibt, Michael Arold, Bartosz von Rymon Lipinski, Uwe Wienkopf, Marc Erich Latoschik
      Pages 195-208

  4. Photogrammetry and Remote Sensing

    1. Front Matter

      Pages 209-209
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    2. DustNet: Attention to Dust

      • Andreas Michel, Martin Weinmann, Fabian Schenkel, Tomas Gomez, Mark Falvey, Rainer Schmitz et al.
      Pages 211-226

    3. Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification

      • Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher
      Pages 227-242

    4. Automatic Reverse Engineering: Creating Computer-Aided Design (CAD) Models from Multi-view Images

      • Henrik Jobczyk, Hanno Homann
      Pages 243-259
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Editors and Affiliations

  • IWR, Heidelberg University, Heidelberg, Germany

    Ullrich Köthe, Carsten Rother

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