| Automatic labeling to generate training data for online LiDAR-based moving object segmentation X Chen, B Mersch, L Nunes, R Marcuzzi, I Vizzo, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 6107-6114, 2022 | 96 | 2022 |
| Segcontrast: 3d point cloud feature representation learning through self-supervised segment discrimination L Nunes, R Marcuzzi, X Chen, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (2), 2116-2123, 2022 | 89 | 2022 |
| Mask-based panoptic lidar segmentation for autonomous driving R Marcuzzi, L Nunes, L Wiesmann, J Behley, C Stachniss IEEE Robotics and Automation Letters 8 (2), 1141-1148, 2023 | 42 | 2023 |
| Temporal consistent 3d lidar representation learning for semantic perception in autonomous driving L Nunes, L Wiesmann, R Marcuzzi, X Chen, J Behley, C Stachniss Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 35 | 2023 |
| Retriever: Point cloud retrieval in compressed 3D maps L Wiesmann, R Marcuzzi, C Stachniss, J Behley 2022 international conference on robotics and automation (ICRA), 10925-10932, 2022 | 31 | 2022 |
| Contrastive instance association for 4d panoptic segmentation using sequences of 3d lidar scans R Marcuzzi, L Nunes, L Wiesmann, I Vizzo, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (2), 1550-1557, 2022 | 21 | 2022 |
| Scaling diffusion models to real-world 3d lidar scene completion L Nunes, R Marcuzzi, B Mersch, J Behley, C Stachniss Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 19 | 2024 |
| Unsupervised class-agnostic instance segmentation of 3d lidar data for autonomous vehicles L Nunes, X Chen, R Marcuzzi, A Osep, L Leal-Taixé, C Stachniss, ... IEEE Robotics and Automation Letters 7 (4), 8713-8720, 2022 | 18 | 2022 |
| Make it dense: Self-supervised geometric scan completion of sparse 3d lidar scans in large outdoor environments I Vizzo, B Mersch, R Marcuzzi, L Wiesmann, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 8534-8541, 2022 | 16 | 2022 |
| High precision leaf instance segmentation for phenotyping in point clouds obtained under real field conditions E Marks, M Sodano, F Magistri, L Wiesmann, D Desai, R Marcuzzi, ... IEEE Robotics and Automation Letters 8 (8), 4791-4798, 2023 | 13 | 2023 |
| Mask4D: end-to-end mask-based 4D panoptic segmentation for lidar sequences R Marcuzzi, L Nunes, L Wiesmann, E Marks, J Behley, C Stachniss IEEE Robotics and Automation Letters 8 (11), 7487-7494, 2023 | 12 | 2023 |
| Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, and Jens Behley. Unsupervised class-agnostic instance segmentation of 3d lidar data for autonomous vehicles L Nunes, X Chen, R Marcuzzi IEEE Robotics and Automation Letters 7 (4), 8713-8720, 2022 | 9 | 2022 |
| Efficient and accurate transformer-based 3d shape completion and reconstruction of fruits for agricultural robots F Magistri, R Marcuzzi, E Marks, M Sodano, J Behley, C Stachniss 2024 IEEE International Conference on Robotics and Automation (ICRA), 8657-8663, 2024 | 6 | 2024 |
| Space maker: A place where creativity, innovation and hands-on learning join to improve engineering education MT Garibay, JC Gómez, L Terissi, L Soria, R Marcuzzi, M Moya, L Bertinat, ... 2018 World Engineering Education Forum-Global Engineering Deans Council …, 2018 | 6 | 2018 |
| Desarrollo de un sistema de localización y seguimiento en tiempo real de una fuente sonora M Moya, R Marcuzzi, L Soria, LD Terissi, JC Gómez XXI Concurso de Trabajos Estudiantiles (EST)-JAIIO 47 (CABA, 2018), 2018 | 1 | 2018 |
| 3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors M Sodano, F Magistri, E Marks, F Hosn, A Zurbayev, R Marcuzzi, ... arXiv preprint arXiv:2503.13188, 2025 | | 2025 |
| Jens Behley Cyrill Stachniss University of Bonn R Marcuzzi, L Nunes, L Wiesmann, I Vizzo | | |
