Niclas Vödisch

32 papers A* 2A 5C 1Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation.
IEEE Robotics Autom. Lett.
Niclas Vödisch, Kürsat Petek, Markus Käppeler, Abhinav Valada, Wolfram Burgard
2025 A conf
Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding.
IROS
Tim Steinke, Martin Büchner, Niclas Vödisch, Abhinav Valada
2025 J jnl
Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding.
CoRR
Tim Steinke, Martin Büchner, Niclas Vödisch, Abhinav Valada
2025 A conf
Label-Efficient LiDAR Panoptic Segmentation.
IROS
Ahmet Selim Çanakçi, Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
2025 J jnl
Label-Efficient LiDAR Panoptic Segmentation.
CoRR
Ahmet Selim Çanakçi, Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
2025 J jnl
LiDAR Registration with Visual Foundation Models.
CoRR
Niclas Vödisch, Giovanni Cioffi, Marco Cannici, Wolfram Burgard, Davide Scaramuzza
2025 A conf
ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models.
IROS
Jiarong Wei, Niclas Vödisch, Anna Rehr, Christian Feist, Abhinav Valada
2025 J jnl
ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models.
CoRR
Jiarong Wei, Niclas Vödisch, Anna Rehr, Christian Feist, Abhinav Valada
2024 J jnl
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation.
CoRR
Niclas Vödisch, Kürsat Petek, Markus Käppeler, Abhinav Valada, Wolfram Burgard
2024 J jnl
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences.
CoRR
Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo, Abhinav Valada, Wolfram Burgard
2024 J jnl
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences.
IEEE Robotics Autom. Lett.
Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo, Abhinav Valada, Wolfram Burgard
2024 A conf
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation.
IROS
Jonas Schramm, Niclas Vödisch, Kürsat Petek, Bangalore Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada
2024 J jnl
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation.
CoRR
Jonas Schramm, Niclas Vödisch, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada
2024 A* conf
Collaborative Dynamic 3D Scene Graphs for Automated Driving.
ICRA
Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
2024 J jnl
Efficient Robot Learning for Perception and Mapping.
CoRR
Niclas Vödisch
2024 A* conf
Few-Shot Panoptic Segmentation With Foundation Models.
ICRA
Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
2023 — conf
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation.
Robotics: Science and Systems
Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
2023 J jnl
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation.
CoRR
Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
2023 — conf
CoVIO: Online Continual Learning for Visual-Inertial Odometry.
CVPR Workshops
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
2023 J jnl
CoVIO: Online Continual Learning for Visual-Inertial Odometry.
CoRR
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
2023 J jnl
Collaborative Dynamic 3D Scene Graphs for Automated Driving.
CoRR
Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
2023 J jnl
Few-Shot Panoptic Segmentation With Foundation Models.
CoRR
Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
2023 J jnl
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention.
IEEE Robotics Autom. Lett.
José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
2022 C conf
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning.
ISRR
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
2022 J jnl
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning.
CoRR
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
2022 J jnl
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization.
CoRR
Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
2022 J jnl
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization.
IEEE Robotics Autom. Lett.
Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
2022 J jnl
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention.
CoRR
José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
2020 A conf
Accurate Mapping and Planning for Autonomous Racing.
IROS
Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel
2020 J jnl
Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks.
CoRR
Andreas Bühler, Niclas Vödisch, Mathias Bürki, Lukas Schaupp
2020 J jnl
FSOCO: The Formula Student Objects in Context Dataset.
CoRR
David Dodel, Michael Schötz, Niclas Vödisch
2020 J jnl
Fast and Accurate Mapping for Autonomous Racing.
CoRR
Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel