Embodied Vision
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Example result by CIR-phys [
] (right). Left: ground truth. Middle: baseline deep learning-based approach.
Physically Consistent Object-Level Scene Reconstruction

In our work CIR-phys [
] we include object interpenetration constraints into deep learning based object pose estimation (Lipson et al., Coupled Iterative Refinement for 6D Multi-Object Pose Estimation, CVPR 2022) to reduce interpenetrations of detected objects and improve the physical plausibility of the scene reconstruction.
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Publications
Embodied Vision
Article
Event-based Non-Rigid Reconstruction of Low-Rank Parametrized Deformations from Contours
Xue, Y., Li, H., Leutenegger, S., Stueckler, J.
International Journal of Computer Vision (IJCV), 2024 (Published)
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Embodied Vision
Conference Paper
Physically Plausible Object Pose Refinement in Cluttered Scenes
Strecke, M., Stueckler, J.
In Proceedings of the German Conference on Pattern Recognition (GCPR), 2024, to appear, To be published (To be published)
code
preprint (submitted version)
BibTeX
Embodied Vision
Conference Paper
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos
Kandukuri, R. K., Strecke, M., Stueckler, J.
In Proceedings of the International Conference on 3D Vision (3DV), 2024 (Published)
preprint
supplemental video
dataset
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Embodied Vision
Conference Paper
Learning-based Relational Object Matching Across Views
Elich, C., Armeni, I., Oswald, M. R., Pollefeys, M., Stueckler, J.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2023 (Published)
preprint
code
DOI
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Embodied Vision
Article
Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors
Elich, C., Oswald, M. R., Pollefeys, M., Stueckler, J.
Computer Vision and Image Understanding (CVIU), 220, July 2022 (Published)
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Preprint
DOI
URL
BibTeX
Embodied Vision
Conference Paper
Event-based Non-Rigid Reconstruction from Contours
Xue, Y., Li, H., Leutenegger, S., Stueckler, J.
In Proceedings of the British Machine Vision Conference (BMVC), 2022 (Published)
preprint
video
URL
BibTeX
Embodied Vision
Conference Paper
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
Wang, R., Yang, N., Stückler, J., Cremers, D.
In Proceedings of the IEEE international Conference on Robotics and Automation (ICRA), :11067 - 11073, IEEE, Piscataway, NJ, IEEE International Conference on Robotics and Automation (ICRA 2020), May 2020, arXiv:1904.10097 (Published)
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