| SyDPose: Object detection and pose estimation in cluttered real-world depth images trained using only synthetic data S Thalhammer, T Patten, M Vincze 2019 International Conference on 3D Vision (3DV), 106-115, 2019 | 23 | 2019 |
| PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift S Thalhammer, M Leitner, T Patten, M Vincze 2021 IEEE International Conference on Robotics and Automation (ICRA), 13909 …, 2021 | 20 | 2021 |
| Cope: End-to-end trainable constant runtime object pose estimation S Thalhammer, T Patten, M Vincze Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 8 | 2023 |
| Sydd: Synthetic depth data randomization for object detection using domain-relevant background S Thalhammer, K Park, T Patten, M Vincze, W Kropatsch TUGraz OPEN Library, 14-22, 2019 | 6 | 2019 |
| Self-supervised vision transformers for 3d pose estimation of novel objects S Thalhammer, JB Weibel, M Vincze, J Garcia-Rodriguez Image and Vision Computing 139, 104816, 2023 | 5 | 2023 |
| Challenges for monocular 6d object pose estimation in robotics S Thalhammer, D Bauer, P Hönig, JB Weibel, J García-Rodríguez, ... arXiv preprint arXiv:2307.12172, 2023 | 4 | 2023 |
| ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers P Ausserlechner, D Haberger, S Thalhammer, JB Weibel, M Vincze arXiv preprint arXiv:2309.11986, 2023 | 3 | 2023 |
| Grasping the inconspicuous H Gupta, S Thalhammer, M Leitner, M Vincze arXiv preprint arXiv:2211.08182, 2022 | 3 | 2022 |
| Towards object detection and pose estimation in clutter using only synthetic depth data for training S Thalhammer, T Patten, M Vincze Proceedings of ARW and OAGM Workshop 2019, 2019 | 3 | 2019 |
| Challenges of Depth Estimation for Transparent Objects JB Weibel, P Sebeto, S Thalhammer, M Vincze International Symposium on Visual Computing, 277-288, 2023 | 1 | 2023 |
| Monocular Depth-guided Cost Volume Refinement for Semantic Correspondences P Sebeto, JBN Weibel, S Thalhammer, C Hartl-Nesic, M Vincze | | 2024 |
| Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation P Hönig, S Thalhammer, M Vincze arXiv preprint arXiv:2402.06436, 2024 | | 2024 |
| STAR: Shape-focused Texture Agnostic Representations for Improved Object Detection and 6D Pose Estimation P Hönig, S Thalhammer, JB Weibel, M Hirschmanner, M Vincze arXiv preprint arXiv:2402.04878, 2024 | | 2024 |
| ROS-driven Disassembly Planning Framework incorporating Screw Detection T Hoebert, D Neubauer, M Merdan, W Lepuschitz, S Thalhammer, ... 2023 20th International Conference on Electrical Engineering, Computing …, 2023 | | 2023 |
| Erkennung transparenter Objekte für die Laborautomatisierung M Vincze, JB Weibel, S Thalhammer, H Gupta, P Ausserlechner e & i Elektrotechnik und Informationstechnik 140 (6), 519-529, 2023 | | 2023 |
| Recognizing transparent objects for laboratory automation M Vincze, JB Weibel, S Thalhammer, H Gupta, P Ausserlechner Elektrotechnik und Informationstechnik: E & I 140 (6), 519-529, 2023 | | 2023 |
| Simultaneous Object Detection and Pose Estimation under Domain Shift S Thalhammer Technische Universität Wien, 2022 | | 2022 |
| Enabling Classification of Heavily-occluded Objects through Class-agnostic Image Manipulation B Gallauner, S Thalhammer, M Vincze OAGM Workshop 2021 Computer Vision and Pattern Analysis Across Domains, 5, 2021 | | 2021 |
| Usability Study of Learning-Based Pose Estimation of Industrial Objects from Synthetic Depth Data S Thalhammer, T Patten, M Vincze International Precision Assembly Seminar, 285-296, 2020 | | 2020 |
| Image Synthesis in SO (3) by Learning Equivariant Feature Spaces M Peer, S Thalhammer, M Vincze | | 2020 |
Markus VinczeTU WienVerified email at acin.tuwien.ac.at
