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Works (12)

Challenges for Monocular 6-D Object Pose Estimation in Robotics

IEEE Transactions on Robotics
2024 | Journal article
DOI: 10.1109/TRO.2024.3433870
Contributors: Stefan Thalhammer; Dominik Bauer; Peter Hönig; Jean-Baptiste Weibel; José García-Rodríguez; Markus Vincze
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Crossref

ReFlow6D: Refraction-Guided Transparent Object 6D Pose Estimation via Intermediate Representation Learning

IEEE Robotics and Automation Letters
2024-11 | Journal article
DOI: 10.1109/LRA.2024.3455897
Contributors: Hrishikesh Gupta; Stefan Thalhammer; Jean-Baptiste Weibel; Alexander Haberl; Markus Vincze
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Crossref

ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers

2024 IEEE International Conference on Robotics and Automation (ICRA)
2024-05-13 | Conference paper
DOI: 10.1109/icra57147.2024.10611464
Contributors: Philipp Ausserlechner; David Haberger; Stefan Thalhammer; Jean-Baptiste Weibel; Markus Vincze
Source: Self-asserted source
Jean-Baptiste Weibel

Challenges of Depth Estimation for Transparent Objects

2023 | Book chapter
DOI: 10.1007/978-3-031-47969-4_22
Contributors: Jean-Baptiste Weibel; Paolo Sebeto; Stefan Thalhammer; Markus Vincze
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Crossref

Self-supervised Vision Transformers for 3D pose estimation of novel objects

Image and Vision Computing
2023-11 | Journal article
DOI: 10.1016/j.imavis.2023.104816
Part of ISSN: 0262-8856
Contributors: Stefan Thalhammer; Jean-Baptiste Weibel; Markus Vincze; Jose Garcia-Rodriguez
Source: Self-asserted source
Jean-Baptiste Weibel

3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision

2023 IEEE International Conference on Robotics and Automation (ICRA)
2023-05-29 | Conference paper
DOI: 10.1109/icra48891.2023.10160669
Contributors: Markus Suchi; Bernhard Neuberger; Amanzhol Salykov; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze
Source: Self-asserted source
Jean-Baptiste Weibel

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks

2022 | Book chapter
DOI: 10.1007/978-3-031-19827-4_13
Contributors: Simon Schreiberhuber; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze
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Crossref

Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme

IEEE Robotics and Automation Letters
2022-07 | Journal article
DOI: 10.1109/LRA.2022.3186745
Contributors: Jean-Baptiste Weibel; Timothy Patten; Markus Vincze
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Crossref

Measuring the Sim2Real Gap in 3D Object Classification for Different 3D Data Representation

2021 | Book chapter
DOI: 10.1007/978-3-030-87156-7_9
Contributors: Jean-Baptiste Weibel; Rainer Rohrböck; Markus Vincze
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Crossref

Addressing the Sim2Real Gap in Robotic 3-D Object Classification

IEEE Robotics and Automation Letters
2020-04 | Journal article
DOI: 10.1109/LRA.2019.2959497
Contributors: Jean-Baptiste Weibel; Timothy Patten; Markus Vincze
Source: check_circle
Crossref

An integrated approach to visual attention modelling using spatial-temporal saliency and objectness

2017 IEEE International Conference on Image Processing (ICIP)
2017-09 | Conference paper
DOI: 10.1109/icip.2017.8296319
Contributors: Jean-Baptiste Weibel; Hui Li Tan; Shijian Lu
Source: Self-asserted source
Jean-Baptiste Weibel

Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2016-06 | Conference paper
DOI: 10.1109/cvpr.2016.324
Contributors: Hongyuan Zhu; Jean-Baptiste Weibel; Shijian Lu
Source: Self-asserted source
Jean-Baptiste Weibel
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