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
Xue, Y., Li, H., Leutenegger, S., Stueckler, J.
Event-based Non-Rigid Reconstruction of Low-Rank Parametrized Deformations from Contours
International Journal of Computer Vision (IJCV), 2024 (article)
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
Elich, C., Kirchdorfer, L., Köhler, J. M., Schott, L.
Challenging Common Assumptions in Multi-task Learning
abs/2311.04698, CoRR/arxiv, 2023 (techreport)
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
Elich, C., Oswald, M. R., Pollefeys, M., Stueckler, J.
Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors
Computer Vision and Image Understanding (CVIU), 2022 (article) Accepted
Li, H., Stueckler, J.
Observability Analysis of Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
abs/2204.06651, CoRR/arxiv, 2022 (techreport)
Li, H., Stueckler, J.
Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
IEEE Robotics and Automation Letters (RA-L), 2022, Accepted for oral presentation at IEEE ICRA 2023 (article) Accepted
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)
Kandukuri, R., Achterhold, J., Moeller, M., Stueckler, J.
Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics
International Journal of Computer Vision, 2021 (article)
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)
Vinogradska, J., Bischoff, B., Achterhold, J., Koller, T., Peters, J.
Numerical Quadrature for Probabilistic Policy Search
IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1):164-175, 2020 (article)
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)
Usenko, V., Demmel, N., Schubert, D., Stückler, J., Cremers, D.
Visual-Inertial Mapping with Non-Linear Factor Recovery
IEEE Robotics and Automation Letters (RA-L), 5, 2020, presented at IEEE International Conference on Robotics and Automation (ICRA) 2020, preprint arXiv:1904.06504 (article)
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)
Elich, C., Engelmann, F., Kontogianni, T., Leibe, B.
3D Birds-Eye-View Instance Segmentation
In Pattern Recognition - Proceedings 41st DAGM German Conference, DAGM GCPR 2019, pages: 48-61, Lecture Notes in Computer Science (LNCS) 11824, (Editors: Fink G.A., Frintrop S., Jiang X.), Springer, 2019 German Conference on Pattern Recognition (GCPR), September 2019, ISSN: 03029743 (inproceedings)
2018
Schubert, D., Usenko, V., Demmel, N., Stueckler, J., Cremers, D.
Direct Sparse Odometry With Rolling Shutter
In European Conference on Computer Vision (ECCV), September 2018, oral presentation (inproceedings)
Yang, N., Wang, R., Stueckler, J., Cremers, D.
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
In European Conference on Computer Vision (ECCV), September 2018, oral presentation, preprint https://arxiv.org/abs/1807.02570 (inproceedings)
Schubert, D., Goll, T., Demmel, N., Usenko, V., Stueckler, J., Cremers, D.
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
In IEEE International Conference on Intelligent Robots and Systems (IROS), 2018, arXiv:1804.06120 (inproceedings)
Ma, L., Stueckler, J., Wu, T., Cremers, D.
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
arxiv, 2018, arXiv:1808.01834 (techreport)
Achterhold, J., Koehler, J. M., Schmeink, A., Genewein, T.
Variational Network Quantization
In International Conference on Learning Representations , 2018 (inproceedings)
Matsuki, H., von Stumberg, L., Usenko, V., Stueckler, J., Cremers, D.
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras
IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS), Robotics and Automation Letters (RA-L), IEEE, 2018 (article)
Alperovich, A., Johannsen, O., Strecke, M., Goldluecke, B.
Light field intrinsics with a deep encoder-decoder network
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (inproceedings)
Strecke, M., Goldluecke, B.
Sublabel-accurate convex relaxation with total generalized variation regularization
In German Conference on Pattern Recognition (Proc. GCPR), 2018 (inproceedings)
2017
von Stumberg, L., Usenko, V., Engel, J., Stueckler, J., Cremers, D.
From Monocular SLAM to Autonomous Drone Exploration
In European Conference on Mobile Robots (ECMR), September 2017 (inproceedings)
Ma, L., Stueckler, J., Kerl, C., Cremers, D.
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras
In IEEE International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017 (inproceedings)
Strecke, M., Alperovich, A., Goldluecke, B.
Accurate depth and normal maps from occlusion-aware focal stack symmetry
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (inproceedings)
Kuznietsov, Y., Stueckler, J., Leibe, B.
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (inproceedings)
Alperovich, A., Johannsen, O., Strecke, M., Goldluecke, B.
Shadow and Specularity Priors for Intrinsic Light Field Decomposition
In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2017 (inproceedings)
Kasyanov, A., Engelmann, F., Stueckler, J., Leibe, B.
Keyframe-Based Visual-Inertial Online SLAM with Relocalization
In IEEE/RSJ Int. Conference on Intelligent Robots and Systems,
IROS, 2017 (inproceedings)
Engelmann, F., Stueckler, J., Leibe, B.
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction
In IEEE Winter Conference on Applications of Computer Vision,
WACV, 2017 (inproceedings)
2016
zur Jacobsmühlen, J., Achterhold, J., Kleszczynski, S., Witt, G., Merhof, D.
Robust calibration marker detection in powder bed images from laser beam melting processes
In 2016 IEEE International Conference on Industrial Technology (ICIT), pages: 910-915, March 2016 (inproceedings)
Stueckler, J., Schwarz, M., Schadler, M., Topalidou-Kyniazopoulou, A., Behnke, S.
NimbRo Explorer: Semi-Autonomous Exploration and Mobile Manipulation in Rough Terrain
Journal of Field Robotics (JFR), 33(4):411-430, Wiley, 2016 (article)
Droeschel, D., Nieuwenhuisen, M., Beul, M., Stueckler, J., Holz, D., Behnke, S.
Multi-Layered Mapping and Navigation for Autonomous Micro Aerial Vehicles
Journal of Field Robotics (JFR), 33(4):451-475, 2016 (article)
Usenko, V., Engel, J., Stueckler, J., Cremers, D.
Direct Visual-Inertial Odometry with Stereo Cameras
In IEEE International Conference on Robotics and Automation (ICRA), 2016 (inproceedings)
Ma, L., Kerl, C., Stueckler, J., Cremers, D.
CPA-SLAM: Consistent Plane-Model Alignment for Direct RGB-D SLAM
In IEEE International Conference on Robotics and Automation (ICRA), 2016 (inproceedings)
Klostermann, D., Osep, A., Stueckler, J., Leibe, B.
Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes
In British Machine Vision Conference (BMVC), 2016 (inproceedings)
Kochanov, D., Osep, A., Stueckler, J., Leibe, B.
Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes
In IEEE/RSJ Int. Conference on Intelligent Robots and Systems, IROS, 2016 (inproceedings)