Pattern Recognition

1. Front Matter

   Pages i-xv

   PDF

2. Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows

   • Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe

   Pages 1-14

3. Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

   • Max Maria Losch, Mario Fritz, Bernt Schiele

   Pages 15-29

4. Bias Detection and Prediction of Mapping Errors in Camera Calibration

   • Annika Hagemann, Moritz Knorr, Holger Janssen, Christoph Stiller

   Pages 30-43

5. Learning to Identify Physical Parameters from Video Using Differentiable Physics

   • Rama Kandukuri, Jan Achterhold, Michael Moeller, Joerg Stueckler

   Pages 44-57

6. Assignment Flow for Order-Constrained OCT Segmentation

   • Dmitrij Sitenko, Bastian Boll, Christoph Schnörr

   Pages 58-71

7. Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling

   • Abdelhak Lemkhenter, Paolo Favaro

   Pages 72-85

8. Long-Tailed Recognition Using Class-Balanced Experts

   • Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele

   Pages 86-100

9. Analyzing the Dependency of ConvNets on Spatial Information

   • Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele

   Pages 101-115

10. Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels

    • Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers

    Pages 116-129

11. Observer Dependent Lossy Image Compression

    • Maurice Weber, Cedric Renggli, Helmut Grabner, Ce Zhang

    Pages 130-144

12. Adversarial Synthesis of Human Pose from Text

    • Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall

    Pages 145-158

13. Long-Term Anticipation of Activities with Cycle Consistency

    • Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall

    Pages 159-173

14. Multi-stage Fusion for One-Click Segmentation

    • Soumajit Majumder, Ansh Khurana, Abhinav Rai, Angela Yao

    Pages 174-187

15. Neural Architecture Performance Prediction Using Graph Neural Networks

    • Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper

    Pages 188-201

16. Discovering Latent Classes for Semi-supervised Semantic Segmentation

    • Olga Zatsarynna, Johann Sawatzky, Juergen Gall

    Pages 202-217

17. Riemannian SOS-Polynomial Normalizing Flows

    • Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr

    Pages 218-231

18. Automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning

    • Rémy Vandaele, Sarah L. Dance, Varun Ojha

    Pages 232-245

19. Does SGD Implicitly Optimize for Smoothness?

    • Václav Volhejn, Christoph Lampert

    Pages 246-259

20. Looking Outside the Box: The Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images

    • Ronny Hänsch

    Pages 260-274

This book constitutes the refereed proceedings of the 42^nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tübingen, Germany, but had to change to an online format due to the COVID-19 pandemic.

The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning.

• biometrics
• communication systems
• computational photography
• computer networks
• computer systems
• computer vision
• correlation analysis
• databases
• education
• image analysis
• image processing
• image reconstruction
• machine learning
• neural networks
• object recognition
• pattern recognition
• photogrammetry
• remote sensing
• signal processing

• University of Tübingen, Tübingen, Germany

  Zeynep Akata, Andreas Geiger

• Czech Technical University in Prague, Prague, Czech Republic

  Torsten Sattler

Policies and ethics