Fast and reliable architecture selection for convolutional neural networks. - Lukas Hahn; Lutz Roese-Koerner; Klaus Friedrichs; Anton Kummert (ESANN, 2019)

On the Robustness of Active Learning. - Lukas Hahn; Lutz Roese-Koerner; Peet Cremer; Urs Zimmermann; Ori Maoz; Anton Kummert (GCAI, 2019)

Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances. - Lukas Hahn; Frederik Hasecke; Anton Kummert (ITSC, 2020)

Fast Lidar Clustering by Density and Connectivity. - Frederik Hasecke; Lukas Hahn; Anton Kummert (CoRR, 2020)

FLIC: Fast Lidar Image Clustering. - Frederik Hasecke; Lukas Hahn; Anton Kummert (ICPRAM, 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)

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)

Aspects of active learning, architecture search and Lidar Panoptic Segmentation towards pedestrian perception in autonomous driving. - Lukas Hahn (2022)

Enhancing 3D Human Pose Estimation: A Novel Post-Processing Method. - Elham Iravani; Frederik Hasecke; Lukas Hahn; Tobias Meisen (VISIGRAPP (2): VISAPP, 2025)

Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models. - Felix Stillger; Frederik Hasecke; Lukas Hahn; Tobias Meisen (VISIGRAPP (2): VISAPP, 2025)