Markov random field for image synthesis with an application to traffic sign recognition. - Anselm Haselhoff; Christian Nunn; Dennis Müller 002; Mirko Meuter; Lutz Roese-Koerner (Intelligent Vehicles Symposium, 2017)

Effnet: An Efficient Structure for Convolutional Neural Networks. - Ido Freeman; Lutz Roese-Koerner; Anton Kummert (ICIP, 2018)

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)

Radar Scan Matching Using Navigation Maps. - Ahmad Pishehvari; Uri Iurgel; Stephanie Lessmann; Lutz Roese-Koerner; Bernd Tibken (IRC, 2019)

Conditional multichannel generative adversarial networks with an application to traffic signs representation learning. - Farzin Ghorban; Narges Milani; Daniel Schugk; Lutz Roese-Koerner; Yu Su 003; Dennis Müller 002; Anton Kummert (Prog. Artif. Intell., 2019)

MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps. - Pascal Colling; Lutz Roese-Koerner; Hanno Gottschalk; Matthias Rottmann (ICPRAM, 2021)

False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. - Pascal Colling; Matthias Rottmann; Lutz Roese-Koerner; Hanno Gottschalk (ICTAI, 2021)

Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds. - Pascal Colling; Matthias Rottmann; Lutz Roese-Koerner; Hanno Gottschalk (Int. J. Artif. Intell. Tools, 2023)

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; Lutz Roese-Koerner; Michael Arnold; Urs Zimmermann; Matthias Rottmann (Int. J. Comput. Vis., 2025)