Renaud Marlet

Centre National de la Recherche Scientifique — France

Engineering · Physical Sciences

35h-index4.1kcitations173works4.02yr avg
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Research Topics

Robotics and Sensor-Based Localization(31), 3D Shape Modeling and Analysis(27), Advanced Vision and Imaging(25), Remote Sensing and LiDAR Applications(24), 3D Surveying and Cultural Heritage(23)

Publications173 total

Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
arXiv (Cornell University)·2025Open Access
Articulated Object Understanding from a Single Video Sequence
2025
LOSC: LiDAR Open-voc Segmentation Consolidator
arXiv (Cornell University)·2025Open Access
LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
2025
LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
arXiv (Cornell University)·2025Open Access
UNIT: Unsupervised Online Instance Segmentation Through Time
2025
Valeo4Cast: A Modular Approach to End-to-End Forecasting
Lecture notes in computer science·2025· 1 cited
LOGen: Toward Lidar Object Generation by Point Diffusion
arXiv (Cornell University)·2024Open Access
A Survey and Benchmark of Automatic Surface Reconstruction From Point Clouds
IEEE Transactions on Pattern Analysis and Machine Intelligence·2024· 19 cited
Train Till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation
Lecture notes in computer science·2024Open Access
UNIT: Unsupervised Online Instance Segmentation through Time
arXiv (Cornell University)·2024Open Access
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
arXiv (Cornell University)·2024Open Access
MILAN: Milli-Annotations for Lidar Semantic Segmentation
arXiv (Cornell University)·2024Open Access
Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
arXiv (Cornell University)·2024Open Access
Professional Bodies: France—Forensic, Medical and Scientific Training
Encyclopedia of Forensic and Legal Medicine·2024
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
2024· 9 citedOpen Access
Three Pillars Improving Vision Foundation Model Distillation for Lidar
2024· 17 cited
NOPE: Novel Object Pose Estimation from a Single Image
2024· 16 citedOpen Access
Valeo4Cast: A Modular Approach to End-to-End Forecasting
arXiv (Cornell University)·2024Open Access
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Alexandre Boulch(14), Charles Consel(14), Gilles Puy(9), Pascal Monasse(7), Yang Xiao(5), Gilles Muller(5), Pierre Moulon(4), Spyros Gidaris(4), Andrei Bursuc(4), S. Thibault(3), Corentin Sautier(3), Mathieu Aubry(3), Scott Thibault(3), Yohann Salaün(3), Vincent Lepetit(2), Fabrice Mérillon(2), Laurent Réveillère(2), E.-N. Volanschi(2), Jacques Noyé(2), Oriane Siméoni(2)