| Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges D Feng, C Haase-Schütz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ... IEEE Transactions on Intelligent Transportation Systems 22 (3), 1341-1360, 2020 | 1031 | 2020 |
| Preanalytical aspects and sample quality assessment in metabolomics studies of human blood P Yin, A Peter, H Franken, X Zhao, SS Neukamm, L Rosenbaum, M Lucio, ... Clinical chemistry 59 (5), 833-845, 2013 | 302 | 2013 |
| Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection D Feng, L Rosenbaum, K Dietmayer 2018 21st international conference on intelligent transportation systems …, 2018 | 284 | 2018 |
| Circulating lysophosphatidylcholines are markers of a metabolically benign nonalcoholic fatty liver R Lehmann, H Franken, S Dammeier, L Rosenbaum, K Kantartzis, ... Diabetes care 36 (8), 2331-2338, 2013 | 127 | 2013 |
| jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints G Hinselmann, L Rosenbaum, A Jahn, N Fechner, A Zell Journal of cheminformatics 3, 1-14, 2011 | 103 | 2011 |
| Deep active learning for efficient training of a lidar 3d object detector D Feng, X Wei, L Rosenbaum, A Maki, K Dietmayer 2019 IEEE Intelligent Vehicles Symposium (IV), 667-674, 2019 | 87 | 2019 |
| Leveraging heteroscedastic aleatoric uncertainties for robust real-time lidar 3d object detection D Feng, L Rosenbaum, F Timm, K Dietmayer 2019 IEEE Intelligent Vehicles Symposium (IV), 1280-1287, 2019 | 77 | 2019 |
| Interpreting linear support vector machine models with heat map molecule coloring L Rosenbaum, G Hinselmann, A Jahn, A Zell Journal of Cheminformatics 3, 1-12, 2011 | 70 | 2011 |
| Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software J Eichner, L Rosenbaum, C Wrzodek, HU Häring, A Zell, R Lehmann Journal of Chromatography B 966, 77-82, 2014 | 54 | 2014 |
| Inferring multi-target QSAR models with taxonomy-based multi-task learning L Rosenbaum, A Dörr, MR Bauer, FM Boeckler, A Zell Journal of cheminformatics 5, 1-20, 2013 | 47 | 2013 |
| Can we trust you? on calibration of a probabilistic object detector for autonomous driving D Feng, L Rosenbaum, C Glaeser, F Timm, K Dietmayer arXiv preprint arXiv:1909.12358, 2019 | 45 | 2019 |
| Large-scale learning of structure− activity relationships using a linear support vector machine and problem-specific metrics G Hinselmann, L Rosenbaum, A Jahn, N Fechner, C Ostermann, A Zell Journal of chemical information and modeling 51 (2), 203-213, 2011 | 36 | 2011 |
| Inferring spatial uncertainty in object detection Z Wang, D Feng, Y Zhou, L Rosenbaum, F Timm, K Dietmayer, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 30 | 2020 |
| Leveraging uncertainties for deep multi-modal object detection in autonomous driving D Feng, Y Cao, L Rosenbaum, F Timm, K Dietmayer 2020 IEEE Intelligent Vehicles Symposium (IV), 877-884, 2020 | 29 | 2020 |
| Deepfusion: A robust and modular 3d object detector for lidars, cameras and radars F Drews, D Feng, F Faion, L Rosenbaum, M Ulrich, C Gläser 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 21 | 2022 |
| Labels are not perfect: Inferring spatial uncertainty in object detection D Feng, Z Wang, Y Zhou, L Rosenbaum, F Timm, K Dietmayer, ... IEEE Transactions on Intelligent Transportation Systems 23 (8), 9981-9994, 2021 | 19 | 2021 |
| Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein, C Gläser, F Timm, ... Methods, and Challenges, 2019 | 18 | 2019 |
| 4D Flexible Atom-Pairs: An efficient probabilistic conformational space comparison for ligand-based virtual screening A Jahn, L Rosenbaum, G Hinselmann, A Zell Journal of cheminformatics 3, 1-17, 2011 | 13 | 2011 |
| Learning multimodal fixed-point weights using gradient descent L Enderich, F Timm, L Rosenbaum, W Burgard arXiv preprint arXiv:1907.07220, 2019 | 9 | 2019 |
| Labels are not perfect: Improving probabilistic object detection via label uncertainty D Feng, L Rosenbaum, F Timm, K Dietmayer arXiv preprint arXiv:2008.04168, 2020 | 7 | 2020 |
