Lutz Roese-Koerner

17 papers B 4C 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds.
Int. J. Comput. Vis.
Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023 — conf
LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds.
DAGM
Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023 J jnl
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds.
CoRR
Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023 J jnl
Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds.
Int. J. Artif. Intell. Tools
Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021 B conf
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation.
ICTAI
Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021 J jnl
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation.
CoRR
Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021 C conf
MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps.
ICPRAM
Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2020 J jnl
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps.
CoRR
Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2020 J jnl
On the Robustness of Active Learning.
CoRR
Lukas Hahn, Lutz Roese-Koerner, Peet Cremer, Urs Zimmermann, Ori Maoz, Anton Kummert
2019 J jnl
Conditional multichannel generative adversarial networks with an application to traffic signs representation learning.
Prog. Artif. Intell.
Farzin Ghorban, Narges Milani, Daniel Schugk, Lutz Roese-Koerner, Yu Su, Dennis Müller, Anton Kummert
2019 J jnl
Fast and Reliable Architecture Selection for Convolutional Neural Networks.
CoRR
Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert
2019 B conf
Fast and reliable architecture selection for convolutional neural networks.
ESANN
Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert
2019 — conf
On the Robustness of Active Learning.
GCAI
Lukas Hahn, Lutz Roese-Koerner, Peet Cremer, Urs Zimmermann, Ori Maoz, Anton Kummert
2019 — conf
Radar Scan Matching Using Navigation Maps.
IRC
Ahmad Pishehvari, Uri Iurgel, Stephanie Lessmann, Lutz Roese-Koerner, Bernd Tibken
2018 J jnl
EffNet: An Efficient Structure for Convolutional Neural Networks.
CoRR
Ido Freeman, Lutz Roese-Koerner, Anton Kummert
2018 B conf
Effnet: An Efficient Structure for Convolutional Neural Networks.
ICIP
Ido Freeman, Lutz Roese-Koerner, Anton Kummert
2017 B conf
Markov random field for image synthesis with an application to traffic sign recognition.
Intelligent Vehicles Symposium
Anselm Haselhoff, Christian Nunn, Dennis Müller, Mirko Meuter, Lutz Roese-Koerner