Renaud Marlet

papers

1,320

total citations

papers (13)

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

CVPR 2023arXiv

118

citations

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation

CVPR 2023arXiv

citations

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

ICCV 2021arXiv

citations

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation

ICCV 2023arXiv

citations

NOPE: Novel Object Pose Estimation from a Single Image

CVPR 2024arXiv

citations

Three Pillars Improving Vision Foundation Model Distillation for Lidar

CVPR 2024arXiv

citations

Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application

ECCV 2020arXiv

citations

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

ICCV 2023arXiv

citations

Approximating shapes in images with low-complexity polygons

CVPR 2020

citations

Renaud Marlet

papers (13)

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

FLOT: Scene Flow on Point Clouds guided by Optimal Transport

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

POCO: Point Convolution for Surface Reconstruction

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation

NOPE: Novel Object Pose Estimation from a Single Image

Three Pillars Improving Vision Foundation Model Distillation for Lidar

Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

Approximating shapes in images with low-complexity polygons

papers (13)

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

FLOT: Scene Flow on Point Clouds guided by Optimal Transport

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

POCO: Point Convolution for Surface Reconstruction

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation

NOPE: Novel Object Pose Estimation from a Single Image

Three Pillars Improving Vision Foundation Model Distillation for Lidar

Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

Approximating shapes in images with low-complexity polygons