Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition. - Hongyuan Zhu; Jean-Baptiste Weibel; Shijian Lu (CVPR, 2016)

An integrated approach to visual attention modelling using spatial-temporal saliency and objectness. - Jean-Baptiste Weibel; Hui Li Tan; Shijian Lu (ICIP, 2017)

Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (ICRA, 2019)

Addressing the Sim2Real Gap in Robotic 3D Object Classification. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (CoRR, 2019)

Addressing the Sim2Real Gap in Robotic 3-D Object Classification. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (IEEE Robotics Autom. Lett., 2020)

Measuring the Sim2Real Gap in 3D Object Classification for Different 3D Data Representation. - Jean-Baptiste Weibel; Rainer Rohrböck; Markus Vincze (ICVS, 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)

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks. - Simon Schreiberhuber; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (ECCV (33), 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 (TU Wien Research Data, 2022)

3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision. - Markus Suchi; Bernhard Neuberger; Amanzhol Salykov; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (ICRA, 2023)

Challenges of Depth Estimation for Transparent Objects. - Jean-Baptiste Weibel; Paolo Sebeto; Stefan Thalhammer; Markus Vincze (ISVC (1), 2023)

Challenges for Monocular 6D Object Pose Estimation in Robotics. - Stefan Thalhammer; Dominik Bauer; Peter Hönig; Jean-Baptiste Weibel; José García Rodríguez 001; Markus Vincze (CoRR, 2023)

Erkennung transparenter Objekte für die Laborautomatisierung. - Markus Vincze; Jean-Baptiste Weibel; Stefan Thalhammer; Hrishikesh Gupta; Philipp Ausserlechner (Elektrotech. Informationstechnik, 2023)

Self-supervised Vision Transformers for 3D pose estimation of novel objects. - Stefan Thalhammer; Jean-Baptiste Weibel; Markus Vincze; José García Rodríguez 001 (Image Vis. Comput., 2023)

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 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers. - Philipp Ausserlechner; David Haberger; Stefan Thalhammer; Jean-Baptiste Weibel; Markus Vincze (ICRA, 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)

Challenges for Monocular 6-D Object Pose Estimation in Robotics. - Stefan Thalhammer; Dominik Bauer; Peter Hönig; Jean-Baptiste Weibel; José García Rodríguez 001; Markus Vincze (IEEE Trans. Robotics, 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., 2024)

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 (WACV, 2025)