Jean-Baptiste Weibel

According to our database, Jean-Baptiste Weibel authored at least 32 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SGFAM: Semantic and Geometric Features Aggregation for Dense Shape Matching in Generalizable Robotic Manipulation.

Paolo Sebeto, Christian Hartl-Nesic, Jean-Baptiste Weibel, Daniel Zimmer, Andreas Holzinger, Markus Vincze

IEEE Robotics Autom. Lett., June, 2026

SilRef: Joint Visual Silhouette and Tactile Pose Optimization for Transparent Object Manipulation.

Jean-Baptiste Weibel, Clemence Dubois, Negar Layegh Khavidaki, Saifeddine Aloui, Mathieu Grossard, Markus Vincze, Andreas Holzinger

IEEE Robotics Autom. Lett., March, 2026

OSCAR: Open-Set CAD Retrieval from a Language Prompt and a Single Image.

Tessa Pulli, Jean-Baptiste Weibel, Peter Hönig, Matthias Hirschmanner, Markus Vincze, Andreas Holzinger

CoRR, January, 2026

Tactile Sensing for Wheeled Robot Navigation in Open Worlds: A Simple Yet Robust Approach.

Florian Ehrlich-Sommer, Christof Müller, Bernhard Kager, Bernhard Hoerl, Jean-Baptiste Weibel, Andreas Holzinger

IEEE Access, 2026

Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids.

Ke Ma, Yizhou Fang, Jean-Baptiste Weibel, Shuai Tan, Xinggang Wang, Yang Xiao, Yi Fang, Tian Xia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Tracebot In-Gripper.

Jean-Baptiste Weibel, Markus Vincze

Dataset, December, 2025

Methoden zur raschen Erkennung neuer Objekte in Farb- und Tiefenbildern.

Markus Vincze, Jean-Baptiste Weibel, Philipp Ausserlechner, Peter Hönig, Paolo Sebeto, Anish Pratheepkumar, Hrishikesh Gupta, Stefan Thalhammer

Elektrotech. Informationstechnik, November, 2025

SCOPE: Semantic Conditioning for Sim2Real Category-Level Object Pose Estimation in Robotics.

Peter Hönig, Stefan Thalhammer, Jean-Baptiste Weibel, Matthias Hirschmanner, Markus Vincze

CoRR, September, 2025

Shape-Biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation.

Peter Hönig, Stefan Thalhammer, Jean-Baptiste Weibel, Matthias Hirschmanner, Markus Vincze

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Evaluating Pose Awareness and 3D Consistency in Semantic Matching.

Paolo Sebeto, Jean-Baptiste Weibel, Christian Hartl-Nesic, Markus Vincze

Proceedings of the Robotics, Computer Vision and Intelligent Systems, 2025

TRICKY 2025 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces.

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Benjamin Busam, Guangyao Zhai, Weihang Li, Junwen Huang, Hyunjun Jung, Mykola Lavreniuk, Pihai Sun, Yijun Luo, Hongtao Wang, Manying Gao, Kui Jiang, Junjun Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

TRICKY 2025 HouseCat6D Object Pose Estimation Challenge with Specular and Transparent Surfaces.

Weihang Li, Junwen Huang, Hyunjun Jung, Guangyao Zhai, Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Jing He, Yiqing Wang, Kexin Zhang, Licheng Jiao, Lingling Li, Fang Liu, Wenping Ma, Benjamin Busam

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

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

Hrishikesh Gupta, Stefan Thalhammer, Jean-Baptiste Weibel, Alexander Haberl, Markus Vincze

IEEE Robotics Autom. Lett., November, 2024

Challenges for Monocular 6-D Object Pose Estimation in Robotics.

Stefan Thalhammer, Dominik Bauer, Peter Hönig, Jean-Baptiste Weibel, José García Rodríguez, Markus Vincze

IEEE Trans. Robotics, 2024

STAR: Shape-focused Texture Agnostic Representations for Improved Object Detection and 6D Pose Estimation.

Peter Hönig, Stefan Thalhammer, Jean-Baptiste Weibel, Matthias Hirschmanner, Markus Vincze

CoRR, 2024

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

Philipp Ausserlechner, David Haberger, Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces.

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

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

Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze, José García Rodríguez

Image Vis. Comput., November, 2023

Erkennung transparenter Objekte für die Laborautomatisierung.

Markus Vincze, Jean-Baptiste Weibel, Stefan Thalhammer, Hrishikesh Gupta, Philipp Ausserlechner

Elektrotech. Informationstechnik, October, 2023

Challenges for Monocular 6D Object Pose Estimation in Robotics.

Stefan Thalhammer, Dominik Bauer, Peter Hönig, Jean-Baptiste Weibel, José García Rodríguez, Markus Vincze

CoRR, 2023

Challenges of Depth Estimation for Transparent Objects.

Jean-Baptiste Weibel, Paolo Sebeto, Stefan Thalhammer, Markus Vincze

Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

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

Markus Suchi, Bernhard Neuberger, Amanzhol Salykov, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks.

Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

Dataset, October, 2022

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

Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

IEEE Robotics Autom. Lett., 2022

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks.

Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme.

Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

CoRR, 2021

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

Jean-Baptiste Weibel, Rainer Rohrböck, Markus Vincze

Proceedings of the Computer Vision Systems - 13th International Conference, 2021

2020

Addressing the Sim2Real Gap in Robotic 3-D Object Classification.

Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

IEEE Robotics Autom. Lett., 2020

2019

Addressing the Sim2Real Gap in Robotic 3D Object Classification.

Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

CoRR, 2019

Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution.

Jean-Baptiste Weibel, Timothy Patten, Markus Vincze

Proceedings of the International Conference on Robotics and Automation, 2019

2017

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

Jean-Baptiste Weibel, Hui Li Tan, Shijian Lu

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition.

Hongyuan Zhu, Jean-Baptiste Weibel, Shijian Lu

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016