Niclas Vödisch

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Depth Estimation

Object Segmentation

Uncalibrated Views

Top Venues

IEEE Robotics Autom. Lett.

Publications

Niclas Vödisch, Kürsat Petek, Markus Käppeler, Abhinav Valada, Wolfram Burgard
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation. CoRR (2024)
Niclas Vödisch
Efficient Robot Learning for Perception and Mapping. CoRR (2024)
Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Few-Shot Panoptic Segmentation With Foundation Models. ICRA (2024)
Jonas Schramm, Niclas Vödisch, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. CoRR (2024)
Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Collaborative Dynamic 3D Scene Graphs for Automated Driving. ICRA (2024)
Kürsat Petek, Niclas Vödisch, Johannes Meyer, Daniele Cattaneo, Abhinav Valada, Wolfram Burgard
Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. CoRR (2024)
Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. Robotics: Science and Systems (2023)
Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. CoRR (2023)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CoRR (2023)
Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Few-Shot Panoptic Segmentation With Foundation Models. CoRR (2023)
Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
Collaborative Dynamic 3D Scene Graphs for Automated Driving. CoRR (2023)
José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention. IEEE Robotics Autom. Lett. 8 (3) (2023)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CVPR Workshops (2023)
Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR (2022)
Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7 (2) (2022)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning. ISRR (2022)
Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. CoRR (2022)
José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention. CoRR (2022)
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
Accurate Mapping and Planning for Autonomous Racing. IROS (2020)
Andreas Bühler, Niclas Vödisch, Mathias Bürki, Lukas Schaupp
Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks. CoRR (2020)
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
Fast and Accurate Mapping for Autonomous Racing. CoRR (2020)
David Dodel, Michael Schötz, Niclas Vödisch
FSOCO: The Formula Student Objects in Context Dataset. CoRR (2020)