Awards

DAGM GCPR 2024 Best Paper Award

Worldwide High-fidelity Road Extraction from Aerial and Satellite Imagery enabled by Low-fidelity OpenStreetMap Labels
Corentin Henry and Friedrich Fraundorfer

DAGM GCPR 2024 Best Paper Honorable Mention

Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
Steven Landgraf, Markus Hillemann, Theodor Kapler, and Markus Ulrich

SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining
Jonathan Prexl and Michael Schmitt

VMV 2024 Best Paper Award

Towards Practical Meshlet Compression
Bastian Kuth, Max Oberberger, Felix Kawala, Sander Reitter, Sebastian Michel, Matthäus Chajdas, and Quirin Meyer

VMV 2024 Best Paper Honorable Mention

COMAND: Controllable Action-aware Manifold for 3D Motion Synthesis
I. Habibie, M. Elgharib, D. Luvizon, B. Thambiraja, S. Nyatsanga, J. Thies, M. Neff, and C. Theobalt

Geospatial Topographic Attribute Maps
L. Pessl, J. Schmidt, and R. Preiner

German Pattern Recognition Award

• Prof. Dr. Angela Dai
• Prof. Dr. Justus Thies

DAGM MVTec Dissertation Award

Francesco Croce (EPFL)
Evaluating and Improving the Robustness of Image Classifiers against Adversarial Attacks

DAGM Best Master's Thesis Award

Lukas Kirchdorfer (University of Mannheim)
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning