1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2022
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds
Chuanyu Luo, Xiaohan Li, Nuo Cheng +3
Semantic segmentation of 3D point cloud is an essential task for autonomous driving environment perception. The pipeline of most pointwise point cloud semantic segmentation methods…