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Lucas Nunes
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2020 – today
- 2024
- [j9]Louis Wiesmann
, Thomas Läbe
Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment. IEEE Robotics Autom. Lett. 9(10): 9103-9110 (2024) - [c5]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CVPR 2024: 3184-3194 - [c4]Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss:
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CVPR 2024: 14770-14780 - [i4]Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss:
Open-World Semantic Segmentation Including Class Similarity. CoRR abs/2403.07532 (2024) - [i3]Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss:
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CoRR abs/2403.13470 (2024) - 2023
- [j8]Louis Wiesmann
KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition. IEEE Robotics Autom. Lett. 8(2): 592-599 (2023) - [j7]Rodrigo Marcuzzi
Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving. IEEE Robotics Autom. Lett. 8(2): 1141-1148 (2023) - [j6]Rodrigo Marcuzzi
Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences. IEEE Robotics Autom. Lett. 8(11): 7487-7494 (2023) - [c3]Lucas Nunes, Louis Wiesmann, Rodrigo Marcuzzi, Xieyuanli Chen
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving. CVPR 2023: 5217-5228 - [c2]Ignacio Vizzo, Benedikt Mersch, Lucas Nunes, Louis Wiesmann, Tiziano Guadagnino, Cyrill Stachniss:
Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. ITSC 2023: 5838-5845 - [c1]Hyungtae Lim, Lucas Nunes, Benedikt Mersch, Xieyuanli Chen, Jens Behley, Hyun Myung, Cyrill Stachniss:
ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. Robotics: Science and Systems 2023 - 2022
- [j5]Rodrigo Marcuzzi
Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans. IEEE Robotics Autom. Lett. 7(2): 1550-1557 (2022) - [j4]Lucas Nunes
SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination. IEEE Robotics Autom. Lett. 7(2): 2116-2123 (2022) - [j3]Xieyuanli Chen
Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation. IEEE Robotics Autom. Lett. 7(3): 6107-6114 (2022) - [j2]Benedikt Mersch
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. IEEE Robotics Autom. Lett. 7(3): 7503-7510 (2022) - [j1]Lucas Nunes
Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles. IEEE Robotics Autom. Lett. 7(4): 8713-8720 (2022) - [i2]Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation. CoRR abs/2201.04501 (2022) - [i1]Benedikt Mersch, Xieyuanli Chen
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. CoRR abs/2206.04129 (2022)
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