Raphaël Frank — accepted AI-conference papers

2025

DENSER: 3D Gaussian Splatting for Scene Reconstruction of Dynamic Urban Environments

Mahmud A. Mohamad, Gamal Elghazaly, Arthur Hubert, Raphaël Frank

ICRA 2025

This paper presents DENSER, a framework leveraging 3D Gaussian splatting (3DGS) for the reconstruction of dynamic urban environments. While several methods for photorealistic scene representations, both implicitly using neural radiance fields (NeRF) and explicitly using 3DGS have shown promising res

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2022

Striving for Less: Minimally-Supervised Pseudo-Label Generation for Monocular Road Segmentation

François Robinet, Yussef Akl, Kaleem Ullah, Farzad Nozarian, Christian Müller, Raphaël Frank

RA-L 2022

Identifying traversable space is one of the most important problems in autonomous robot navigation and is primarily tackled using learning-based methods. To alleviate the prohibitively high annotation-cost associated with labeling large and diverse datasets, research has recently shifted from tradit

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