Jean-Baptiste Weibel

Orcid: 0000-0003-0201-4740

According to our database1, Jean-Baptiste Weibel authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
STAR: Shape-focused Texture Agnostic Representations for Improved Object Detection and 6D Pose Estimation.
CoRR, 2024

2023
Self-supervised Vision Transformers for 3D pose estimation of novel objects.
Image Vis. Comput., November, 2023

Erkennung transparenter Objekte für die Laborautomatisierung.
Elektrotech. Informationstechnik, October, 2023

ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers.
CoRR, 2023

Challenges for Monocular 6D Object Pose Estimation in Robotics.
CoRR, 2023

Challenges of Depth Estimation for Transparent Objects.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme.
IEEE Robotics Autom. Lett., 2022

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme.
CoRR, 2021

Measuring the Sim2Real Gap in 3D Object Classification for Different 3D Data Representation.
Proceedings of the Computer Vision Systems - 13th International Conference, 2021

2020
Addressing the Sim2Real Gap in Robotic 3-D Object Classification.
IEEE Robotics Autom. Lett., 2020

2019
Addressing the Sim2Real Gap in Robotic 3D Object Classification.
CoRR, 2019

Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution.
Proceedings of the International Conference on Robotics and Automation, 2019

2017
An integrated approach to visual attention modelling using spatial-temporal saliency and objectness.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


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