Complex-YOLO: An Euler-Region-Proposal for Real-Time 3D Object Detection on Point Clouds M Simon, S Milz, K Amende, HM Gross European Conference on Computer Vision, 197-209, 2018 | 558* | 2018 |
Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving S Yogamani, C Hughes, J Horgan, G Sistu, P Varley, D O'Dea, M Uricár, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 266 | 2019 |
Complexer-yolo: Real-time 3d object detection and tracking on semantic point clouds M Simon, K Amende, A Kraus, J Honer, T Samann, H Kaulbersch, S Milz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 233 | 2019 |
Stickypillars: Robust and efficient feature matching on point clouds using graph neural networks K Fischer, M Simon, F Olsner, S Milz, HM Gross, P Mader Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 65 | 2021 |
Monocular fisheye camera depth estimation using sparse lidar supervision VR Kumar, S Milz, C Witt, M Simon, K Amende, J Petzold, S Yogamani, ... 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 62 | 2018 |
Near-field depth estimation using monocular fisheye camera: A semi-supervised learning approach using sparse LiDAR data VR Kumar, S Milz, C Witt, M Simon, K Amende, J Petzold, S Yogamani, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 38 | 2018 |
Points2Pix: 3D Point-Cloud to Image Translation Using Conditional GANs S Milz, M Simon, K Fischer, M Pöpperl, HM Gross German Conference on Pattern Recognition, 387-400, 2019 | 22 | 2019 |
Limoseg: Real-time bird's eye view based lidar motion segmentation S Mohapatra, M Hodaei, S Yogamani, S Milz, H Gotzig, M Simon, ... arXiv preprint arXiv:2111.04875, 2021 | 16 | 2021 |
Boosting Instance Segmentation With Synthetic Data: A Study To Overcome the Limits of Real World Data Sets F Poucin, A Kraus, M Simon Proceedings of the IEEE/CVF International Conference on Computer Vision, 945-953, 2021 | 16 | 2021 |
About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving M Reuse, M Simon, B Sick Proceedings of the IEEE/CVF International Conference on Computer Vision, 979-987, 2021 | 14 | 2021 |
Efficient semantic segmentation for visual bird’s-eye view interpretation T Sämann, K Amende, S Milz, C Witt, M Simon, J Petzold Intelligent Autonomous Systems 15: Proceedings of the 15th International …, 2019 | 13 | 2019 |
StickyLocalization: Robust End-to-End Relocalization on Point Clouds Using Graph Neural Networks K Fischer, M Simon, S Milz, P Mäder Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 9 | 2022 |
Method and device for generating a vehicle environment view for a vehicle G Arbeiter, RG Marques, M Simon, J Petzold, J Schrepfer, M Friebe US Patent 10,937,201, 2021 | 3 | 2021 |
Device and Method for Fusing Image Data from a Multi-Camera System for a Motor Vehicle M Friebe, J Schrepfer, RG Marques, M Simon, G Arbeiter, S Milz US Patent App. 16/469,285, 2019 | 1 | 2019 |
Exploring 3D Object Detection for Autonomous Factory Driving: Advanced Research on Handling Limited Annotations with Ground Truth Sampling Augmentation M Reuse, K Amende, M Simon, B Sick Computer Sciences & Mathematics Forum 9 (1), 5, 2024 | | 2024 |
MagneticPillars: Efficient Point Cloud Registration Through Hierarchized Birds-Eye-View Cell Correspondence Refinement K Fischer, M Simon, S Milz, P Mäder Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
Content capture of an environment of a vehicle using a priori confidence levels M Simon, J Petzold, M Heinen US Patent App. 18/053,420, 2023 | | 2023 |
Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning M Simon BoD–Books on Demand, 2023 | | 2023 |