Search Results for author:
Found 3 papers, 3 papers with code
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering
We introduce a highly efficient method for panoptic segmentation of large 3D point clouds by redefining this task as a scalable graph clustering problem.
Ranked #1 on
Panoptic Segmentation
on DALES
Efficient 3D Semantic Segmentation with Superpoint Transformer
We introduce a novel superpoint-based transformer architecture for efficient semantic segmentation of large-scale 3D scenes.
Ranked #1 on
3D Semantic Segmentation
on S3DIS
(mIoU (6-Fold) metric)
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Recent works on 3D semantic segmentation propose to exploit the synergy between images and point clouds by processing each modality with a dedicated network and projecting learned 2D features onto 3D points.
Ranked #1 on
3D Semantic Segmentation
on KITTI-360
(using extra training data)
