Lutz Roese-Koerner

According to our database, Lutz Roese-Koerner authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

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, August, 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

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2021

False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation.

Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps.

Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann

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

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, Dennis Müller, Anton Kummert

Prog. Artif. Intell., 2019

Radar Scan Matching Using Navigation Maps.

Ahmad Pishehvari, Uri Iurgel, Stephanie Lessmann, Lutz Roese-Koerner, Bernd Tibken

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 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

2018

Effnet: An Efficient Structure for Convolutional Neural Networks.

Ido Freeman, Lutz Roese-Koerner, Anton Kummert

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Markov random field for image synthesis with an application to traffic sign recognition.

Anselm Haselhoff, Christian Nunn, Dennis Müller, Mirko Meuter, Lutz Roese-Koerner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017