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)

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)

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. - Benedikt Mersch; Xieyuanli Chen; Ignacio Vizzo; Lucas Nunes; 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)

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)

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving. - Lucas Nunes; Louis Wiesmann; Rodrigo Marcuzzi; Xieyuanli Chen; Jens Behley; Cyrill Stachniss (CVPR, 2023)

Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. - Ignacio Vizzo; Benedikt Mersch; Lucas Nunes; Louis Wiesmann; Tiziano Guadagnino; Cyrill Stachniss (ITSC, 2023)

ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. - Hyungtae Lim; Lucas Nunes; Benedikt Mersch; Xieyuanli Chen; Jens Behley; Hyun Myung; Cyrill Stachniss (Robotics: Science and Systems, 2023)

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving. - Rodrigo Marcuzzi; Lucas Nunes; Louis Wiesmann; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition. - Louis Wiesmann; Lucas Nunes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 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., 2023)

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. - Lucas Nunes; Rodrigo Marcuzzi; Benedikt Mersch; Jens Behley; Cyrill Stachniss (CVPR, 2024)

Open-World Semantic Segmentation Including Class Similarity. - Matteo Sodano; Federico Magistri; Lucas Nunes; Jens Behley; Cyrill Stachniss (CVPR, 2024)

Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment. - Louis Wiesmann; Thomas Läbe; Lucas Nunes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2024)

Optimizing the Logistics Operations of Distribution Network Operators from a Multinational Electric Utility Company. - Diego Dantas Almeida; Mariana Azevedo; Victor Vieira; Nelson Ion de Oliveira; Anna Giselle Câmara Dantas Ribeiro Rodrigues; Leonardo C. T. Bezerra; Lucas Nunes; Thaís Alves de Mendonça; Rodrigo Manfredini (EvoApplications (2), 2025)

Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving. - Lucas Nunes; Rodrigo Marcuzzi; Jens Behley; Cyrill Stachniss (CoRR, 2025)

SfmOcc: Vision-Based 3D Semantic Occupancy Prediction in Urban Environments. - Rodrigo Marcuzzi; Lucas Nunes; Elias Marks; Louis Wiesmann; Thomas Läbe; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2025)