Hengming Dai

According to our database, Hengming Dai authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

SCREAM: SCene REndering Adversarial Model for Low-and-Non-Overlap Point Cloud Registration.

Jiabo Xu, Hengming Dai, Xiangyun Hu, Shichao Fan, Tao Ke

IEEE Trans. Geosci. Remote. Sens., 2024

Large-Scale ALS Point Cloud Segmentation via Projection-Based Context Embedding.

Hengming Dai, Xiangyun Hu, Jinming Zhang, Zhen Shu, Jiabo Xu, Juan Du

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Deep Ground Filtering of Large-Scale ALS Point Clouds via Iterative Sequential Ground Prediction.

Hengming Dai, Xiangyun Hu, Zhen Shu, Nannan Qin, Jinming Zhang

Remote. Sens., February, 2023

Robust Extraction of Vectorized Buildings via Bidirectional Tracing of Keypoints From Remotely Sensed Imagery.

Zhen Shu, Xiangyun Hu, Hengming Dai, Lunhao Duan, Zhili Zhang, Lin Zhang, Litong Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Unsupervised Learning of ALS Point Clouds for 3-D Terrain Scene Clustering.

Jinming Zhang, Xiangyun Hu, Hengming Dai

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Progress Guidance Representation for Robust Interactive Extraction of Buildings from Remotely Sensed Images.

Zhen Shu, Xiangyun Hu, Hengming Dai

Remote. Sens., 2021

2020

DEM Extraction from ALS Point Clouds in Forest Areas via Graph Convolution Network.

Jinming Zhang, Xiangyun Hu, Hengming Dai, ShenRun Qu

Remote. Sens., 2020

A Graph-Voxel Joint Convolution Neural Network for ALS Point Cloud Segmentation.

Jinming Zhang, Xiangyun Hu, Hengming Dai

IEEE Access, 2020