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ORCIDLutz Roese-Koerner
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2020 – today
- 2023
[j2]Pascal Colling
, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk:
Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds. Int. J. Artif. Intell. Tools 32(5): 2360006:1-2360006:25 (2023)- [c8]Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann:
LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. DAGM 2023: 85-99 - [i6]Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann:
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. CoRR abs/2306.07835 (2023) - 2021
- [c7]Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann:
MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps. ICPRAM 2021: 51-62 - [c6]Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk:
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. ICTAI 2021: 18-25 - [i5]Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk:
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. CoRR abs/2110.15681 (2021) - 2020
- [i4]Lukas Hahn, Lutz Roese-Koerner, Peet Cremer, Urs Zimmermann, Ori Maoz, Anton Kummert:
On the Robustness of Active Learning. CoRR abs/2006.10370 (2020) - [i3]Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann:
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps. CoRR abs/2010.01884 (2020)
2010 – 2019
- 2019
- [j1]Farzin Ghorban, Narges Milani, Daniel Schugk, Lutz Roese-Koerner, Yu Su, Dennis Müller, Anton Kummert:
Conditional multichannel generative adversarial networks with an application to traffic signs representation learning. Prog. Artif. Intell. 8(1): 73-82 (2019) - [c5]Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert:
Fast and reliable architecture selection for convolutional neural networks. ESANN 2019 - [c4]Lukas Hahn, Lutz Roese-Koerner, Peet Cremer, Urs Zimmermann, Ori Maoz, Anton Kummert:
On the Robustness of Active Learning. GCAI 2019: 152-162 - [c3]Ahmad Pishehvari, Uri Iurgel, Stephanie Lessmann, Lutz Roese-Koerner, Bernd Tibken:
Radar Scan Matching Using Navigation Maps. IRC 2019: 204-211 - [i2]Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert:
Fast and Reliable Architecture Selection for Convolutional Neural Networks. CoRR abs/1905.01924 (2019) - 2018
- [c2]Ido Freeman, Lutz Roese-Koerner, Anton Kummert:
Effnet: An Efficient Structure for Convolutional Neural Networks. ICIP 2018: 6-10 - [i1]Ido Freeman, Lutz Roese-Koerner, Anton Kummert:
EffNet: An Efficient Structure for Convolutional Neural Networks. CoRR abs/1801.06434 (2018) - 2017
- [c1]Anselm Haselhoff, Christian Nunn, Dennis Müller, Mirko Meuter, Lutz Roese-Koerner:
Markov random field for image synthesis with an application to traffic sign recognition. Intelligent Vehicles Symposium 2017: 1407-1412
Coauthor Index
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