Lukas Hahn

According to our database, Lukas Hahn authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models.

Felix Stillger, Frederik Hasecke, Lukas Hahn, Tobias Meisen

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method.

Elham Iravani, Frederik Hasecke, Lukas Hahn, Tobias Meisen

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

2022

Aspects of active learning, architecture search and Lidar Panoptic Segmentation towards pedestrian perception in autonomous driving.

Lukas Hahn

PhD thesis, 2022

MuRiT: Efficient Computation of Pathwise Persistence Barcodes in Multi-Filtered Flag Complexes via Vietoris-Rips Transformations.

Maximilian Neumann, Michael Bleher, Lukas Hahn, Samuel Braun, Holger Obermaier, Mehmet Soysal, René Caspart, Andreas Ott

CoRR, 2022

2021

Topology identifies emerging adaptive mutations in SARS-CoV-2.

Michael Bleher, Lukas Hahn, Juan Ángel Patino-Galindo, Mathieu Carrière, Ulrich Bauer, Raul Rabadan, Andreas Ott

CoRR, 2021

FLIC: Fast Lidar Image Clustering.

Frederik Hasecke, Lukas Hahn, Anton Kummert

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020

Fast Lidar Clustering by Density and Connectivity.

Frederik Hasecke, Lukas Hahn, Anton Kummert

CoRR, 2020

Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances.

Lukas Hahn, Frederik Hasecke, Anton Kummert

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

On the Robustness of Active Learning.

Lukas Hahn, Lutz Roese-Koerner, Peet Cremer, Urs Zimmermann, Ori Maoz, Anton Kummert

Proceedings of the GCAI 2019. Proceedings of the 5th Global Conference on Artificial Intelligence, 2019

Fast and reliable architecture selection for convolutional neural networks.

Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019