| Effnet: An efficient structure for convolutional neural networks I Freeman, L Roese-Koerner, A Kummert 2018 25th ieee international conference on image processing (icip), 6-10, 2018 | 130 | 2018 |
| An approach for estimating time-variable rates from geodetic time series O Didova, B Gunter, R Riva, R Klees, L Roese-Koerner Journal of Geodesy 90, 1207-1221, 2016 | 47 | 2016 |
| Metabox+: A new region based active learning method for semantic segmentation using priority maps P Colling, L Roese-Koerner, H Gottschalk, M Rottmann arXiv preprint arXiv:2010.01884, 2020 | 25 | 2020 |
| A stochastic framework for inequality constrained estimation L Roese-Koerner, B Devaraju, N Sneeuw, WD Schuh Journal of geodesy 86, 1005-1018, 2012 | 22 | 2012 |
| Convex optimization under inequality constraints in rank-deficient systems L Roese-Koerner, WD Schuh Journal of geodesy 88, 415-426, 2014 | 17 | 2014 |
| Conditional multichannel generative adversarial networks with an application to traffic signs representation learning F Ghorban, N Milani, D Schugk, L Roese-Koerner, Y Su, D Müller, ... Progress in Artificial Intelligence 8, 73-82, 2019 | 11 | 2019 |
| Convex optimization for inequality constrained adjustment problems LR Roese-Koerner Rheinische Friedrich-Wilhelms-Universität Bonn, Landwirtschaftliche Fakultät …, 2015 | 11 | 2015 |
| Quadratische programmierung mit ungleichungen als restriktionen L Roese-Koerner Geodetic Week, 2009 | 11 | 2009 |
| A constrained quadratic programming technique for data-adaptive design of decorrelation filters L Roese-Koerner, I Krasbutter, WD Schuh VII Hotine-Marussi Symposium on Mathematical Geodesy: Proceedings of the …, 2012 | 9 | 2012 |
| Describing the quality of inequality constrained estimates L Roese-Koerner, B Devaraju, WD Schuh, N Sneeuw The 1st International Workshop on the Quality of Geodetic Observation and …, 2015 | 7 | 2015 |
| Use of high performance computing for the rigorous estimation of very high degree spherical harmonic gravity field models JM Brockmann, L Roese-Koerner, WD Schuh Gravity, Geoid and Height Systems: Proceedings of the IAG Symposium GGHS2012 …, 2014 | 7 | 2014 |
| Radar scan matching using navigation maps A Pishehvari, U Iurgel, S Lessmann, L Roese-Koerner, B Tibken 2019 Third IEEE International Conference on Robotic Computing (IRC), 204-211, 2019 | 6 | 2019 |
| Markov random field for image synthesis with an application to traffic sign recognition A Haselhoff, C Nunn, D Müller, M Meuter, L Roese-Koerner 2017 IEEE Intelligent Vehicles Symposium (IV), 1407-1412, 2017 | 6 | 2017 |
| A concept for the estimation of high-degree gravity field models in a high performance computing environment JM Brockmann, L Roese-Koerner, WD Schuh Studia Geophysica et Geodaetica 58, 571-594, 2014 | 6 | 2014 |
| Device and a method for image classification using a convolutional neural network I Freeman, L Roese-Koerner, C Petig, P Cremer US Patent 10,832,097, 2020 | 5 | 2020 |
| On the robustness of active learning L Hahn, L Roese-Koerner, P Cremer, U Zimmermann, O Maoz, ... arXiv preprint arXiv:2006.10370, 2020 | 4 | 2020 |
| Fast and Reliable Architecture Selection for Convolutional Neural Networks L Hahn, L Roese-Koerner, K Friedrichs, A Kummert arXiv preprint arXiv:1905.01924, 2019 | 4 | 2019 |
| Improved Parameter Estimation of Zenith Wet Delays Using an Inequality Constrained Least Squares Method S Halsig, L Roese-Koerner, T Artz, A Nothnagel, WD Schuh IAG 150 Years: Proceedings of the IAG Scientific Assembly in Postdam …, 2016 | 4 | 2016 |
| Effects of different objective functions in inequality constrained and rank-deficient least-squares problems L Roese-Koerner, WD Schuh VIII Hotine-Marussi Symposium on Mathematical Geodesy: Proceedings of the …, 2016 | 4 | 2016 |
| False positive detection and prediction quality estimation for lidar point cloud segmentation P Colling, M Rottmann, L Roese-Koerner, H Gottschalk 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 2 | 2021 |
