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Boris Meden

2 accepted papers

2025

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions

RA-L 2025

We introduce Corr2Distrib, the first correspondence-based method which estimates a 6D camera pose distribution from an RGB image, explaining the observations. Indeed, symmetries and occlusions introduce visual ambiguities, leading to multiple valid poses. While a few recent methods tackle this probl

Cited by 2SourceScholar
2024

Introducing CEA-IMSOLD: an Industrial Multi-Scale Object Localization Dataset

ICRA 2024poster

We introduce the CEA Industrial Multi-Scale Object Localization Dataset (CEA-IMSOLD), a new BOP format dataset for 6-DoF object localization, crucial for robotics. This dataset aims to evaluate the current localization methods with respect to a new difficulty: large variations in observation distanc…

Cited by 0SourcecodeScholar