Rodrigo Marcuzzi

According to our database, Rodrigo Marcuzzi authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion.

Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss

CoRR, 2024

2023

Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences.

Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Elias Marks, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., November, 2023

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions.

Elias Marks, Matteo Sodano, Federico Magistri, Louis Wiesmann, Dhagash Desai, Rodrigo Marcuzzi, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2023

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving.

Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2023

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving.

Lucas Nunes, Louis Wiesmann, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments.

Ignacio Vizzo, Benedikt Mersch, Rodrigo Marcuzzi, Louis Wiesmann, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2022

SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination.

Lucas Nunes, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2022

Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.

Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, Jens Behley

IEEE Robotics Autom. Lett., 2022

Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans.

Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Ignacio Vizzo, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2022

Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation.

Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2022

Retriever: Point Cloud Retrieval in Compressed 3D Maps.

Louis Wiesmann, Rodrigo Marcuzzi, Cyrill Stachniss, Jens Behley

Proceedings of the 2022 International Conference on Robotics and Automation, 2022