Wissenschaftliche Artikel

Gupta, H., Thalhammer, S., Weibel, J.-B., Haberl, A., & Vincze, M. (2024). ReFlow6D: Refraction-Guided Transparent Object 6D Pose Estimation via Intermediate Representation Learning. IEEE Robotics and Automation Letters, 9(11), 9438–9445. https://doi.org/10.1109/LRA.2024.3455897 ( reposiTUm)
Thalhammer, S., Weibel, J.-B., Vincze, M., & Rodriguez-Garcia, J. (2023). Self-supervised Vision Transformers for 3D pose estimation of novel objects. Image and Vision Computing, 139, Article 104816. https://doi.org/10.1016/j.imavis.2023.104816 ( reposiTUm)
Weibel, J. B., Patten, T., & Vincze, M. (2022). Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme. IEEE Robotics and Automation Letters, 7(3), 8028–8035. https://doi.org/10.1109/LRA.2022.3186745 ( reposiTUm)

Beiträge in Tagungsbänden

Suchi, M., Neuberger, B., Salykov, A., Weibel, J.-B., Patten, T., & Vincze, M. (2023). 3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 9162–9168). IEEE. https://doi.org/10.34726/5387 ( reposiTUm)
Feigl, P., Weibel, J.-B. N., & Vincze, M. (2023). Autonomous In-hand Object Modeling from a Mobile Manipulator. In A. Müller, M. Nader, & H. Gattringer (Eds.), Proceedingsof the Austrian Robotics Workshop 2023 (pp. 80–85). https://doi.org/10.34726/5356 ( reposiTUm)
Weibel, J.-B., Sebeto, P., Thalhammer, S., & Vincze, M. (2023). Challenges of Depth Estimation for Transparent Objects. In G. Bebis, G. Ghiasi, Y. Fang, A. Sharf, Y. Dong, C. Weaver, Z. Leo, J. J. LaViola Jr., & L. Kohli (Eds.), Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023. Proceedings, Part I (pp. 277–288). Springer. https://doi.org/10.34726/5311 ( reposiTUm)