Xiangda Lei

According to our database, Xiangda Lei authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DAAL-WS: A weakly-supervised method integrated with data augmentation and active learning strategies for MLS point cloud semantic segmentation.

Xiangda Lei, Haiyan Guan, Lingfei Ma, Jiacheng Liu, Yogntao Yu, Lanying Wang, Zhen Dong, Huan Ni, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes.

Huchen Li, Haiyan Guan, Lingfei Ma, Xiangda Lei, Yongtao Yu, Hanyun Wang, Mahmoud Reza Delavar, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, August, 2023

2022

Introducing Improved Transformer to Land Cover Classification Using Multispectral LiDAR Point Clouds.

Zhiwen Zhang, Teng Li, Xuebin Tang, Xiangda Lei, Yuanxi Peng

Remote. Sens., 2022

Pavement crack detection from CCD images with a locally enhanced transformer network.

Zhengsen Xu, Haiyan Guan, Jian Kang, Xiangda Lei, Lingfei Ma, Yongtao Yu, Yiping Chen, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2022

WSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds.

Xiangda Lei, Haiyan Guan, Lingfei Ma, Yongtao Yu, Zhen Dong, Kyle Gao, Mahmoud Reza Delavar, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2022

Road marking extraction in UAV imagery using attentive capsule feature pyramid network.

Haiyan Guan, Xiangda Lei, Yongtao Yu, Haohao Zhao, Daifeng Peng, José Marcato Junior, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2022

2020

ALS Point Cloud Classification by Integrating an Improved Fully Convolutional Network into Transfer Learning with Multi-Scale and Multi-View Deep Features.

Xiangda Lei, Hongtao Wang, Cheng Wang, Zongze Zhao, Jianqi Miao, Puguang Tian

Sensors, 2020