1 citations · 1 across the 3 of their papers we have counts for
4 papers
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene
XianFeng Han, Huixian Cheng, Hang Jiang +2
Fast and efficient semantic segmentation of large-scale LiDAR point clouds is a fundamental problem in autonomous driving. To achieve this goal, the existing point-based methods ma…
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
Hui-Xian Cheng, Xian-Feng Han, Guo-Qiang Xiao
Accurate and fast scene understanding is one of the challenging task for autonomous driving, which requires to take full advantage of LiDAR point clouds for semantic segmentation.…
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation
Xian-Feng Han, Zhang-Yue He, Jia Chen +1
Self-attention mechanism recently achieves impressive advancement in Natural Language Processing (NLP) and Image Processing domains. And its permutation invariance property makes i…
Dual Transformer for Point Cloud Analysis
Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng +1
Following the tremendous success of transformer in natural language processing and image understanding tasks, in this paper, we present a novel point cloud representation learning…