| 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 | 55 | 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 | 46 | 2022 |
| Receding moving object segmentation in 3d lidar data using sparse 4d convolutions B Mersch, X Chen, I Vizzo, L Nunes, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 7503-7510, 2022 | 37 | 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 | 20 | 2023 |
| 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 | 18 | 2022 |
| Path planning and autonomous navigation using AMCL and AD LPN Matias, TC Santos, DF Wolf, JR Souza 2015 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium …, 2015 | 18 | 2015 |
| 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 | 11 | 2023 |
| KPPR: Exploiting momentum contrast for point cloud-based place recognition L Wiesmann, L Nunes, J Behley, C Stachniss IEEE Robotics and Automation Letters 8 (2), 592-599, 2022 | 8 | 2022 |
| ERASOR2: Instance-aware robust 3D mapping of the static world in dynamic scenes HT Lim, L Nunes, B Mersch, X Chen, J Behley, H Myung, C Stachniss Robotics: Science and Systems (RSS 2023), 2023 | 7 | 2023 |
| 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 | 6 | 2022 |
| Veigan: Vectorial inpainting generative adversarial network for depth maps object removal LPN Matias, M Sons, JR Souza, DF Wolf, C Stiller 2019 IEEE Intelligent Vehicles Symposium (IV), 310-316, 2019 | 6 | 2019 |
| Computer vision system with 2d and 3d data fusion for detection of possible auxiliaries routes in stretches of interdicted roads D Bruno, L Peres Nunes Matias, J Amaro, FS Osório, D Wolf | 6 | 2019 |
| 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 | 1 | 2023 |
| Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion L Nunes, R Marcuzzi, B Mersch, J Behley, C Stachniss arXiv preprint arXiv:2403.13470, 2024 | | 2024 |
| Open-World Semantic Segmentation Including Class Similarity M Sodano, F Magistri, L Nunes, J Behley, C Stachniss arXiv preprint arXiv:2403.07532, 2024 | | 2024 |
| Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition I Vizzo, B Mersch, L Nunes, L Wiesmann, T Guadagnino, C Stachniss 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Environment reconstruction on disparity images using surface features and Generative Adversarial Networks LPN Matias Universidade de São Paulo, 2020 | | 2020 |
| Environment reconstruction on depth images using Generative Adversarial Networks LPN Matias, JR Souza, DF Wolf arXiv preprint arXiv:1912.03992, 2019 | | 2019 |
| Trajectory Planning for UGV Using Clothoids LPN Matias, TC Santos, DF Wolf, JR Souza Robotics: 12th Latin American Robotics Symposium and Third Brazilian …, 2016 | | 2016 |
| Jens Behley Cyrill Stachniss University of Bonn R Marcuzzi, L Nunes, L Wiesmann, I Vizzo | | |
