Name
Affiliation
Papers
YONGTAO YU
College of Computer Engineering, Huaiyin Institute of Technology, 223003 Huaian, China.|c|
35
Collaborators
Citations 
PageRank 
91
116
14.05
Referers 
Referees 
References 
294
717
333
Search Limit
100717
Title
Citations
PageRank
Year
Building Extraction From Remote Sensing Imagery With a High-Resolution Capsule Network00.342022
Land Cover Classification of Multispectral LiDAR Data With an Efficient Self-Attention Capsule Network00.342022
Pavement crack detection from CCD images with a locally enhanced transformer network00.342022
C-2-CapsViT: Cross-Context and Cross-Scale Capsule Vision Transformers for Remote Sensing Image Scene Classification00.342022
AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data00.342022
MarkCapsNet: Road Marking Extraction From Aerial Images Using Self-Attention-Guided Capsule Network00.342022
CapViT: Cross-context capsule vision transformers for land cover classification with airborne multispectral LiDAR data00.342022
Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds00.342021
Capsule Feature Pyramid Network for Building Footprint Extraction From High-Resolution Aerial Imagery00.342021
Sparse anchoring guided high-resolution capsule network for geospatial object detection from remote sensing imagery00.342021
A Cascaded Deep Convolutional Network for Vehicle Logo Recognition From Frontal and Rear Images of Vehicles10.372021
A Convolutional Capsule Network for Traffic-Sign Recognition Using Mobile LiDAR Data With Digital Images20.362020
3-D Feature Matching for Point Cloud Object Extraction.00.342020
A Hybrid Capsule Network for Land Cover Classification Using Multispectral LiDAR Data00.342020
DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery.10.352020
Building Extraction from Airborne Multi-Spectral LiDAR Point Clouds Based on Graph Geometric Moments Convolutional Neural Networks.00.342020
Vehicle Detection From High-Resolution Remote Sensing Imagery Using Convolutional Capsule Networks10.352019
An Automated Hierarchical Approach for Three-Dimensional Segmentation of Single Trees Using UAV LiDAR Data.00.342018
Robust Traffic-Sign Detection and Classification Using Mobile LiDAR Data With Digital Images.20.372018
Rapid Localization and Extraction of Street Light Poles in Mobile LiDAR Point Clouds: A Supervoxel-Based Approach.70.442017
Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data110.562016
A Combination of Stop-and-Go and Electro-Tricycle Laser Scanning Systems for Rural Cadastral Surveys.10.352016
Pole-Like Road Object Detection in Mobile LiDAR Data via Supervoxel and Bag-of-Contextual-Visual-Words Representation50.432016
Bag of Contextual-Visual Words for Road Scene Object Detection From Mobile Laser Scanning Data.20.362016
Automated Detection of Three-Dimensional Cars in Mobile Laser Scanning Point Clouds Using DBM-Hough-Forests.50.422016
Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds.80.522016
Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature.100.522016
Automated Extraction of Urban Road Facilities Using Mobile Laser Scanning Data160.602015
Extraction Of Street Trees From Mobile Laser Scanning Point Clouds Based On Subdivided Dimensional Features00.342015
Using Mobile LiDAR Data for Rapidly Updating Road Markings90.572015
Inventory Of 3d Street Lighting Poles Using Mobile Laser Scanning Point Clouds10.352015
A Tensor Voting Approach To Dark Spot Detection In Radarsat-1 Intensity Imagery00.342015
Learning Hierarchical Features for Automated Extraction of Road Markings From 3-D Mobile LiDAR Point Clouds230.842015
Automated Detection of Urban Road Manhole Covers Using Mobile Laser Scanning Data60.452015
Rotation-Invariant Object Detection in High-Resolution Satellite Imagery Using Superpixel-Based Deep Hough Forests.50.462015