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Home/Authors/Raoul de Charette

Raoul de Charette

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Vision×2Robotics×1

Frequent co-authors

Tetiana Martyniuk1×
Jonathan Seele1×
Alexandre Boulch1×
Gilles Puy1×
Renaud Marlet1×
Sebastian Cavada1×

Research Timeline

2026
Exploring Easy Boosts for Lidar Semantic Scene Completion

The paper shows that simple, non-architectural enhancements, such as adding semantic pseudo-labels and visibility information, can significantly boost Lidar Semantic Scene Completion performance.

NewtPhys: Do Foundation Models Understand Newtonian Physics?

The paper introduces NewtPhys, a novel 4D dataset of real-world scenes with dense physical annotations, to systematically evaluate and reveal the limitations of foundation models in low-level Newtonian physics understanding.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.RORecentJun 2, 2026

Exploring Easy Boosts for Lidar Semantic Scene Completion

Tetiana Martyniuk, Jonathan Seele, Alexandre Boulch, Gilles Puy +2 more

The paper shows that simple, non-architectural enhancements, such as adding semantic pseudo-labels and visibility information, can significantly boost Lidar Semantic Scene Completion performance.

View →
cs.CVRecentJun 2, 2026

NewtPhys: Do Foundation Models Understand Newtonian Physics?

Sebastian Cavada, Soumava Paul, Tuan-Hung Vu, Andrei Bursuc +1 more

The paper introduces NewtPhys, a novel 4D dataset of real-world scenes with dense physical annotations, to systematically evaluate and reveal the limitations of foundation models in low-level Newtonia…

View →