2024
Kandukuri, R. K., Strecke, M., Stueckler, J.
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos
In International Conference on 3D Vision (3DV), 2024, accepted, preprint arXiv: 2309.15703 (inproceedings) Accepted
Li, H., Stueckler, J.
Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry
In Accepted for IEEE International Conference on Robotics and Automation (ICRA), 2024, accepted, preprint arXiv:2309.11148 (inproceedings) Accepted
2023
Achterhold, J., Tobuschat, P., Ma, H., Büchler, D., Muehlebach, M., Stueckler, J.
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
In Proceedings of the 5th Annual Learning for Dynamics and Control Conference (L4DC), 211, pages: 878-890, Proceedings of Machine Learning Research, (Editors: Nikolai Matni, Manfred Morari and George J. Pappa), PMLR, June 2023 (inproceedings)
Dhédin, V., Li, H., Khorshidi, S., Mack, L., Ravi, A. K. C., Meduri, A., Shah, P., Grimminger, F., Righetti, L., Khadiv, M., Stueckler, J.
Visual-Inertial and Leg Odometry Fusion for Dynamic Locomotion
In Accepted for IEEE International Conference on Robotics and Automation (ICRA), arXiv:2210.02127, 2023 (inproceedings) Accepted
Elich, C., Armeni, I., Oswald, M. R., Pollefeys, M., Stueckler, J.
Learning-based Relational Object Matching Across Views
In Accepted for IEEE International Conference on Robotics and Automation (ICRA), 2023, arXiv:2305.02398 (inproceedings) Accepted
Guttikonda, S., Achterhold, J., Li, H., Boedecker, J., Stueckler, J.
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
In Accepted for the European Conference on Mobile Robots (ECMR), 2023, accepted (inproceedings) Accepted
2022
Xue, Y., Li, H., Leutenegger, S., Stueckler, J.
Event-based Non-Rigid Reconstruction from Contours
In British Machine Vision Conference (BMVC), 2022 (inproceedings) Accepted
Achterhold, J., Krimmel, M., Stueckler, J.
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning
In Conference on Robot Learning (CoRL), 2022, accepted (inproceedings) Accepted
2021
Strecke, M., Stückler, J.
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes
In International Conference on 3D Vision (3DV), December 2021 (inproceedings)
Li, H., Stueckler, J.
Tracking 6-DoF Object Motion from Events and Frames
In Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), 2021 (inproceedings)
Achterhold, J., Stueckler, J.
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
In Proc. of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021, preprint CoRR abs/2102.11394 (inproceedings)
2020
Strecke, M., Stückler, J.
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints
In Proceedings IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2020, June 2020, preprint Corr abs/2004.04630 (inproceedings)
Usenko, V., Stumberg, L. V., Stückler, J., Cremers, D.
TUM Flyers: Vision-Based MAV Navigation for Systematic Inspection of Structures
In Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users: The Experience of the European Robotics Challenges, 136, pages: 189-209, Springer International Publishing, 2020 (inbook)
Kandukuri, R., Achterhold, J., Moeller, M., Stueckler, J.
Learning to Identify Physical Parameters from Video Using Differentiable Physics
Proc. of the 42th German Conference on Pattern Recognition (GCPR), 2020, GCPR 2020 Honorable Mention, preprint https://arxiv.org/abs/2009.08292 (conference)
Bosch, N., Achterhold, J., Leal-Taixe, L., Stückler, J.
Planning from Images with Deep Latent Gaussian Process Dynamics
Proceedings of the 2nd Conference on Learning for Dynamics and Control (L4DC), 120, pages: 640-650, Proceedings of Machine Learning Research (PMLR), (Editors: Alexandre M. Bayen and Ali Jadbabaie and George Pappas and Pablo A. Parrilo and Benjamin Recht and Claire Tomlin and Melanie Zeilinger), 2020, preprint arXiv:2005.03770 (conference)
Pinneri, C., Sawant, S., Blaes, S., Achterhold, J., Stueckler, J., Rolinek, M., Martius, G.
Sample-efficient Cross-Entropy Method for Real-time Planning
In Conference on Robot Learning 2020, 2020 (inproceedings)
Wang, R., Yang, N., Stückler, J., Cremers, D.
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
In Proceedings of the IEEE international Conference on Robotics and Automation (ICRA), 2020, arXiv:1904.10097 (inproceedings)
Mallick, A., Stückler, J., Lensch, H.
Learning to Adapt Multi-View Stereo by Self-Supervision
In Proceedings of the British Machine Vision Conference (BMVC), 2020, preprint https://arxiv.org/abs/2009.13278 (inproceedings)
2019
Strecke, M., Stückler, J.
EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association
In Proceedings IEEE/CVF International Conference on Computer Vision 2019 (ICCV), pages: 5864-5873, IEEE, 2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 2019 (inproceedings)
Zhu, D., Munderloh, M., Rosenhahn, B., Stückler, J.
Learning to Disentangle Latent Physical Factors for Video Prediction
In Pattern Recognition - Proceedings German Conference on Pattern Recognition (GCPR), Springer International, German Conference on Pattern Recognition (GCPR), September 2019 (inproceedings)