| Automatic camera and range sensor calibration using a single shot A Geiger, F Moosmann, Ö Car, B Schuster 2012 IEEE international conference on robotics and automation, 3936-3943, 2012 | 804 | 2012 |
| Fast discriminative visual codebooks using randomized clustering forests F Moosmann, B Triggs, F Jurie Advances in neural information processing systems 19, 2006 | 728* | 2006 |
| Randomized clustering forests for image classification F Moosmann, E Nowak, F Jurie IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (9), 1632-1646, 2008 | 429 | 2008 |
| Segmentation of 3D lidar data in non-flat urban environments using a local convexity criterion F Moosmann, O Pink, C Stiller 2009 IEEE Intelligent Vehicles Symposium, 215-220, 2009 | 400 | 2009 |
| Velodyne slam F Moosmann, C Stiller 2011 ieee intelligent vehicles symposium (iv), 393-398, 2011 | 328 | 2011 |
| Team AnnieWAY's entry to the 2011 grand cooperative driving challenge A Geiger, M Lauer, F Moosmann, B Ranft, H Rapp, C Stiller, J Ziegler IEEE Transactions on Intelligent Transportation Systems 13 (3), 1008-1017, 2012 | 252 | 2012 |
| Classification of weather situations on single color images M Roser, F Moosmann 2008 IEEE intelligent vehicles symposium, 798-803, 2008 | 185 | 2008 |
| Joint self-localization and tracking of generic objects in 3D range data F Moosmann, C Stiller 2013 IEEE International Conference on Robotics and Automation, 1146-1152, 2013 | 126 | 2013 |
| Learning saliency maps for object categorization F Moosmann, D Larlus, F Jurie International Workshop on The Representation and Use of Prior Knowledge in …, 2006 | 123 | 2006 |
| Visual features for vehicle localization and ego-motion estimation O Pink, F Moosmann, A Bachmann 2009 IEEE Intelligent Vehicles Symposium, 254-260, 2009 | 97 | 2009 |
| Slim: Self-supervised lidar scene flow and motion segmentation SA Baur, DJ Emmerichs, F Moosmann, P Pinggera, B Ommer, A Geiger Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 93 | 2021 |
| Motion estimation from range images in dynamic outdoor scenes F Moosmann, T Fraichard 2010 IEEE International Conference on Robotics and Automation, 142-147, 2010 | 68 | 2010 |
| Moving on to dynamic environments: Visual odometry using feature classification B Kitt, F Moosmann, C Stiller 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 54 | 2010 |
| Interlacing self-localization, moving object tracking and mapping for 3d range sensors F Moosmann KIT Scientific Publishing, 2014 | 27 | 2014 |
| An integrated simulation framework for cognitive automobiles S Vacek, R Nagel, T Batz, F Moosmann, R Dillmann 2007 IEEE Intelligent Vehicles Symposium, 221-226, 2007 | 23 | 2007 |
| Real-time 3D LiDAR flow for autonomous vehicles SA Baur, F Moosmann, S Wirges, CB Rist 2019 IEEE Intelligent Vehicles Symposium (IV), 1288-1295, 2019 | 14 | 2019 |
| Unsupervised discovery of object classes in 3d outdoor scenarios F Moosmann, M Sauerland 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 9 | 2011 |
| LISO: Lidar-only Self-Supervised 3D Object Detection S Baur, F Moosmann, A Geiger arXiv preprint arXiv:2403.07071, 2024 | 4 | 2024 |
| LISO: Lidar-only Self-Supervised 3D Object Detection A Geiger, F Moosmann, S Baur arXiv, 2024 | | 2024 |
| Object Detection Using Adaptive Saliency Maps and Extremely Randomized Trees F Moosmann | | 2006 |
