Ming Cheng
Xiamen University(CN)Monash University(AU)Northwest A&F University(CN)Ministry of Agriculture, Livestock, and Food Supply(BR)
Publications by Year
Research Areas
Remote Sensing and LiDAR Applications, 3D Surveying and Cultural Heritage, Robotics and Sensor-Based Localization, Advanced Neural Network Applications, 3D Shape Modeling and Analysis
Most-Cited Works
- → LO-Net: Deep Real-Time Lidar Odometry(2019)224 cited
- → NormalNet: A voxel-based CNN for 3D object classification and retrieval(2018)154 cited
- → Tree Classification in Complex Forest Point Clouds Based on Deep Learning(2017)122 cited
- → RF-Net: An End-To-End Image Matching Network Based on Receptive Field(2019)110 cited
- → 3-D Road Boundary Extraction From Mobile Laser Scanning Data via Supervoxels and Graph Cuts(2017)99 cited
- → Extraction and Classification of Road Markings Using Mobile Laser Scanning Point Clouds(2016)86 cited