Sheng Xu

Orcid: 0000-0002-9017-1510

Affiliations:
  • Nanjing Forestry University, Nanjing, China
  • University of Calgary, Department of Geomatics, AB, Canada (former)


According to our database1, Sheng Xu authored at least 30 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
YOLO-RS: A More Accurate and Faster Object Detection Method for Remote Sensing Images.
Remote. Sens., August, 2023

CLEGAN: Toward Low-Light Image Enhancement for UAVs via Self-Similarity Exploitation.
IEEE Trans. Geosci. Remote. Sens., 2023

Action Behavior Learning Based on a New Multi-Scale Interactive Perception Network.
IEEE Access, 2023

2022
Building Instance Mapping From ALS Point Clouds Aided by Polygonal Maps.
IEEE Trans. Geosci. Remote. Sens., 2022

An Effectively Dynamic Path Optimization Approach for the Tree Skeleton Extraction from Portable Laser Scanning Point Clouds.
Remote. Sens., 2022

Individual Tree Segmentation from Side-View LiDAR Point Clouds of Street Trees Using Shadow-Cut.
Remote. Sens., 2022

Classification of 3-D Point Clouds by a New Augmentation Convolutional Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2022

3-D Contour Deformation for the Point Cloud Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2022

A Gap-Based Method for LiDAR Point Cloud Division.
IEEE Geosci. Remote. Sens. Lett., 2022

A Method of the Coverage Ratio of Street Trees Based on Deep Learning.
Int. J. Interact. Multim. Artif. Intell., 2022

2021
Separation of Wood and Foliage for Trees From Ground Point Clouds Using a Novel Least-Cost Path Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Point Cloud Inversion: A Novel Approach for the Localization of Trees in Forests from TLS Data.
Remote. Sens., 2021

Plane Segmentation Based on the Optimal-Vector-Field in LiDAR Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020
An Optimal Hierarchical Clustering Approach to Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2020

A New Clustering-Based Framework to the Stem Estimation and Growth Fitting of Street Trees From Mobile Laser Scanning Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019
Power Line Extraction From Mobile LiDAR Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Higher-Order Conditional Random Fields-Based 3D Semantic Labeling of Airborne Laser-Scanning Point Clouds.
Remote. Sens., 2019

A Flexible Architecture for Extracting Metro Tunnel Cross Sections from Terrestrial Laser Scanning Point Clouds.
Remote. Sens., 2019

2018
Automatic extraction of street trees' nonphotosynthetic components from MLS data.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Recognizing Street Lighting Poles From Mobile LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2017

Road Curb Extraction From Mobile LiDAR Point Clouds.
IEEE Trans. Geosci. Remote. Sens., 2017

Incorporating neighbors' distribution knowledge into support vector machines.
Soft Comput., 2017

Finding the samples near the decision plane for support vector learning.
Inf. Sci., 2017

LiDAR Point Cloud Segmentation via Minimum-cost Perfect Matching in a Bipartite Graph.
CoRR, 2017

2016
Relative density degree induced boundary detection for one-class SVM.
Soft Comput., 2016

A weighted one-class support vector machine.
Neurocomputing, 2016

2014
Erratum to "Boundary detection and sample reduction for one-class Support Vector Machines" [Neurocomputing 123 (2014) 166-173].
Neurocomputing, 2014

Boundary detection and sample reduction for one-class Support Vector Machines.
Neurocomputing, 2014

2011
Research on a RBF Neural Network in Stereo Matching.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Research on the Protein Secondary Prediction Using a Symmetric Binding Form of Organization, .
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011


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