most citedLEST: Large-scale LiDAR Semantic Segmentation with Transformer

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2023

Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception

Chuanyu Luo, Nuo Cheng, Sikun Ma +4

Common deep learning models for 3D environment perception often use pillarization/voxelization methods to convert point cloud data into pillars/voxels and then process it with a 2D…

cs.CV2023★ 1 cited

LEST: Large-scale LiDAR Semantic Segmentation with Transformer

Chuanyu Luo, Nuo Cheng, Sikun Ma +4

Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception. Almost all of the previous state-of-the-art LiDAR semantic segmentati…