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Rodrigo Marcuzzi
Rodrigo Marcuzzi
PhD Student and Research Assistant
Verified email at uni-bonn.de
Title
Cited by
Cited by
Year
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
602022
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
522022
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
242023
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
232022
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
192022
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
162023
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
92022
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
82022
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, 2023
62023
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
52022
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
52018
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, 2023
12023
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
12018
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
2024
Jens Behley Cyrill Stachniss University of Bonn
R Marcuzzi, L Nunes, L Wiesmann, I Vizzo
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