| Discriminative multi-modal feature fusion for rgbd indoor scene recognition H Zhu, JB Weibel, S Lu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 126 | 2016 |
| Addressing the sim2real gap in robotic 3-d object classification JB Weibel, T Patten, M Vincze IEEE Robotics and Automation Letters 5 (2), 407-413, 2019 | 15 | 2019 |
| 3d-dat: 3d-dataset annotation toolkit for robotic vision M Suchi, B Neuberger, A Salykov, JB Weibel, T Patten, M Vincze 2023 IEEE International Conference on Robotics and Automation (ICRA), 9162-9168, 2023 | 9 | 2023 |
| Robust 3D object classification by combining point pair features and graph convolution JB Weibel, T Patten, M Vincze 2019 International Conference on Robotics and Automation (ICRA), 7262-7268, 2019 | 7 | 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 |
| GigaDepth: Learning depth from structured light with branching neural networks S Schreiberhuber, JB Weibel, T Patten, M Vincze European Conference on Computer Vision, 214-229, 2022 | 4 | 2022 |
| 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 |
| Open challenges for monocular single-shot 6d object pose estimation S Thalhammer, P Hönig, JB Weibel, M Vincze arXiv preprint arXiv:2302.11827, 2023 | 3 | 2023 |
| Measuring the sim2real gap in 3d object classification for different 3d data representation JB Weibel, R Rohrböck, M Vincze International Conference on Computer Vision Systems, 107-116, 2021 | 3 | 2021 |
| Robust Sim2Real 3D object classification using graph representations and a deep center voting scheme JB Weibel, T Patten, M Vincze IEEE Robotics and Automation Letters 7 (3), 8028-8035, 2022 | 2 | 2022 |
| Sim2real 3d object classification using spherical kernel point convolution and a deep center voting scheme JB Weibel, T Patten, M Vincze arXiv preprint arXiv:2103.06134, 2021 | 2 | 2021 |
| Geometric priors from robot vision in deep networks for 3D object classification JB Weibel, T Patten, M Vincze Proceedings of International Conference on Robotics and Automation (Workshop …, 2018 | 2 | 2018 |
| 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 |
| An integrated approach to visual attention modelling using spatial-temporal saliency and objectness JB Weibel, HL Tan, S Lu 2017 IEEE International Conference on Image Processing (ICIP), 440-444, 2017 | 1 | 2017 |
| Monocular Depth-guided Cost Volume Refinement for Semantic Correspondences P Sebeto, JBN Weibel, S Thalhammer, C Hartl-Nesic, M Vincze | | 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 |
| 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 |
| Computer Vision Systems: 14th International Conference, ICVS 2023, Vienna, Austria, September 27–29, 2023, Proceedings HI Christensen, P Corke, R Detry, JB Weibel, M Vincze Springer Nature, 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 |
