Jean-Baptiste Weibel

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Visual Attention

Pose Estimation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Peter Hönig, Stefan Thalhammer, Jean-Baptiste Weibel, Matthias Hirschmanner, Markus Vincze
STAR: Shape-focused Texture Agnostic Representations for Improved Object Detection and 6D Pose Estimation. CoRR (2024)
Philipp Ausserlechner, David Haberger, Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers. ICRA (2024)
Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze, José García Rodríguez
Self-supervised Vision Transformers for 3D pose estimation of novel objects. Image Vis. Comput. 139 (2023)
Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze, José García Rodríguez
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects. CoRR (2023)
Markus Suchi, Bernhard Neuberger, Amanzhol Salykov, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision. ICRA (2023)
Stefan Thalhammer, Dominik Bauer, Peter Hönig, Jean-Baptiste Weibel, José García Rodríguez, Markus Vincze
Challenges for Monocular 6D Object Pose Estimation in Robotics. CoRR (2023)
Philipp Ausserlechner, David Haberger, Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers. CoRR (2023)
Jean-Baptiste Weibel, Paolo Sebeto, Stefan Thalhammer, Markus Vincze
Challenges of Depth Estimation for Transparent Objects. ISVC (1) (2023)
Markus Vincze, Jean-Baptiste Weibel, Stefan Thalhammer, Hrishikesh Gupta, Philipp Ausserlechner
Erkennung transparenter Objekte für die Laborautomatisierung. Elektrotech. Informationstechnik 140 (6) (2023)
Stefan Thalhammer, Peter Hönig, Jean-Baptiste Weibel, Markus Vincze
Open Challenges for Monocular Single-shot 6D Object Pose Estimation. CoRR (2023)
Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks. ECCV (33) (2022)
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme. IEEE Robotics Autom. Lett. 7 (3) (2022)
Jean-Baptiste Weibel, Rainer Rohrböck, Markus Vincze
Measuring the Sim2Real Gap in 3D Object Classification for Different 3D Data Representation. ICVS (2021)
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme. CoRR (2021)
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
Addressing the Sim2Real Gap in Robotic 3-D Object Classification. IEEE Robotics Autom. Lett. 5 (2) (2020)
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution. ICRA (2019)
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
Addressing the Sim2Real Gap in Robotic 3D Object Classification. CoRR (2019)
Jean-Baptiste Weibel, Hui Li Tan, Shijian Lu
An integrated approach to visual attention modelling using spatial-temporal saliency and objectness. ICIP (2017)
Hongyuan Zhu, Jean-Baptiste Weibel, Shijian Lu
Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition. CVPR (2016)