Retriever: Point Cloud Retrieval in Compressed 3D Maps. - Louis Wiesmann; Rodrigo Marcuzzi; Cyrill Stachniss; Jens Behley (ICRA, 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)

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)

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)

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)

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)

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

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)

Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots. - Federico Magistri; Rodrigo Marcuzzi; Elias Marks; Matteo Sodano; Jens Behley; Cyrill Stachniss (ICRA, 2024)

3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors. - Matteo Sodano; Federico Magistri; Elias Marks; Fares Hosn; Aibek Zurbayev; Rodrigo Marcuzzi; Meher V. R. Malladi; Jens Behley; Cyrill Stachniss (CoRR, 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)