| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Sebeto, Paolo ; Weibel, Jean-Baptiste Nicolas ; Thalhammer, Stefan ; Hartl-Nesic, Christian ; Vincze, Markus | Monocular Depth-guided Cost Volume Refinement for Semantic Correspondences | Presentation Vortrag | 16-Feb-2024 |
| 2 | | Weibel, Jean-Baptiste ; Sebeto, Paolo ; Thalhammer, Stefan ; Vincze, Markus | Challenges of Depth Estimation for Transparent Objects | Inproceedings Konferenzbeitrag | 1-Dec-2023 |
| 3 | | Thalhammer, Stefan ; Jean-Baptiste Weibel ; Markus Vincze ; Rodriguez-Garcia, Jose | Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects | Article Artikel | Nov-2023 |
| 4 | | Thalhammer, Stefan ; Weibel, Jean-Baptiste ; Vincze, Markus ; Rodriguez-Garcia, Jose | Self-supervised Vision Transformers for 3D pose estimation of novel objects | Article Artikel | Nov-2023 |
| 5 | | Suchi, Markus ; Neuberger, Bernhard ; Salykov, Amanzhol ; Weibel, Jean-Baptiste ; Patten, Timothy ; Vincze, Markus | 3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision | Inproceedings Konferenzbeitrag | 2023 |
| 6 | | Feigl, Philipp ; Weibel, Jean-Baptiste Nicolas ; Vincze, Markus | Autonomous In-hand Object Modeling from a Mobile Manipulator | Inproceedings Konferenzbeitrag | 2023 |
| 7 | | Schreiberhuber, Simon ; Weibel, Jean-Baptiste ; Patten, Timothy Michael ; Vincze, Markus | GigaDepth: Learning Depth from Structured Light with Branching Neural Networks | Inproceedings Konferenzbeitrag | 2-Nov-2022 |
| 8 | | Weibel, Jean-Baptiste Nicolas | Robot Vision for Object Grasping | Presentation Vortrag | 9-Sep-2022 |
| 9 | | Weibel, Jean Baptiste ; Patten, Timothy ; Vincze, Markus | Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme | Article Artikel | Jul-2022 |
| 10 | | Weibel, Jean-Baptiste Nicolas | Part-based representations for robust 3D object classification under domain shift | Thesis Hochschulschrift | 2022 |
| 11 | | Weibel, Jean-Baptiste ; Rohrböck, Rainer ; Vincze, Markus | Measuring the Sim2Real Gap in 3D Object Classification for Different 3D Data Representation | Konferenzbeitrag Inproceedings | 2021 |
| 12 | | Rohrböck, Rainer ; Weibel, Jean-Baptiste ; Vincze, Markus | Analysis of 3D shape representations in presence of corrupted data | Konferenzbeitrag Inproceedings | 2021 |
| 13 | | Eder, Christian ; Patten, Timothy ; Weibel, Jean-Baptiste ; Vincze, Markus | Object Placement in an Unknown Environment as Part of a Pick-and-Place Pipeline | Konferenzbeitrag Inproceedings | 2021 |
| 14 | | Weibel, Jean-Baptiste ; Patten, Timothy ; Vincze, Markus | Addressing the Sim2Real Gap in Robotic 3-D Object Classification | Artikel Article | 2020 |
| 15 | | Weibel, Jean-Baptiste ; Patten, Timothy ; Vincze, Markus | Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution | Konferenzbeitrag Inproceedings | 2019 |
| 16 | | Weibel, Jean-Baptiste ; Patten, Timothy ; Vincze, Markus | Geometric Priors from Robot Vision in Deep Networks for 3D Object Classification | Konferenzbeitrag Inproceedings | 2018 |
| 17 | | Weibel, Jean-Baptiste ; Li Tan, Hui ; Lu, Shijan | An Integrated Approach To Visual Attention Modelling Using Spatial-Temporal Saliency And Objectness | Konferenzbeitrag Inproceedings | 2017 |