Name
Affiliation
Papers
MING CHENG
Computer Science Department, Xiamen University, Xiamen, China 361005
38
Collaborators
Citations 
PageRank 
113
54
13.93
Referers 
Referees 
References 
209
760
280
Search Limit
100760
Title
Citations
PageRank
Year
Local Fusion Attention Network for Semantic Segmentation of Building Facade Point Clouds00.342022
2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds00.342022
Multi-Graph Fusion Networks for Urban Region Embedding00.342022
LiDAR-based localization using universal encoding and memory-aware regression00.342022
FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds00.342022
Dense Point Cloud Completion Based on Generative Adversarial Network00.342022
Learning scale awareness in keypoint extraction and description10.402022
Planar Primitive Group-Based Point Cloud Registration for Autonomous Vehicle Localization in Underground Parking Lots00.342022
Multi-Graph Fusion Networks for Urban Region Embedding.00.342022
Corrigendum to “LiDAR-based localization using universal encoding and memory-aware regression” Pattern Recognition Volume 128 (2022) 10868500.342022
DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds00.342022
DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds00.342022
CovidPass: A Contactless Check-in System for Keeping Social Distance in Public Health Crisis00.342021
Matching 2d Image Patches And 3d Point Cloud Volumes By Learning Local Cross-Domain Feature Descriptors00.342021
Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network00.342021
Predicting the spread of COVID-19 in China with human mobility data00.342021
iDrug - Pediatric Drug Interaction Modeling and Risk Evaluation Leveraging Prescription Big Data.00.342019
NormalNet: A voxel-based CNN for 3D object classification and retrieval.80.492019
Lo-Net: Deep Real-Time Lidar Odometry00.342019
Rf-Net: An End-To-End Image Matching Network Based On Receptive Field30.352019
3-D Road Boundary Extraction From Mobile Laser Scanning Data via Supervoxels and Graph Cuts.40.392018
Traffic Sign Occlusion Detection Using Mobile Laser Scanning Point Clouds.70.472017
Tree Classification in Complex Forest Point Clouds Based on Deep Learning.00.342017
Solar Potential Analysis Method Using Terrestrial Laser Scanning Point Clouds.10.352017
Extraction and Classification of Road Markings Using Mobile Laser Scanning Point Clouds.20.352017
Robust vehicle detection by combining deep features with exemplar classification.40.382016
Road Network Extraction Via Deep Learning And Line Integral Convolution40.482016
A Feature-Based Mutual Information and Wavelet Method for Image Fusion.00.342016
Superpixel-Based Coastline Extraction In Sar Images With Speckle Noise Removal10.382016
Local quality assessment of point clouds for indoor mobile mapping.40.412016
Partial Procedural Geometric Model Fitting for Point Clouds.00.342016
Turning Mobile Laser Scanning Points Into 2d/3d On-Road Object Models: Current Status10.352015
Big Data Analytics and Visualization with Spatio-Temporal Correlations for Traffic Accidents.00.342015
Single-image super-resolution in RGB space via group sparse representation40.452015
Combinative hypergraph learning for semi-supervised image classification.50.402015
Automated Object Extraction from MLS Data: A Survey00.342015
The use of a projection method to simplify portal and hepatic vein segmentation in liver anatomy.50.512008
A Fast Method to Segment the Liver According to Couinaud's Classification00.342007