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Computer Science

D-Index
39
Citations
4788
World Ranking
9901
National Ranking
1248

Overview

Yongtao Yu is affiliated with the Huaiyin Institute of Technology in China. Their research primarily spans the fields of Engineering, Computer Science, and Environmental Science, with a focus on applied technology and environmental applications.

The scientist's work encompasses several subfields, including Computer Vision and Pattern Recognition, Environmental Engineering, Civil and Structural Engineering, Media Technology, and Ocean Engineering. Their main research topics concentrate on Remote Sensing and LiDAR Applications, Advanced Neural Network Applications, Remote-Sensing Image Classification, Automated Road and Building Extraction, 3D Surveying and Cultural Heritage, 3D Shape Modeling and Analysis, and Remote Sensing in Agriculture.

Yongtao Yu has published multiple papers in well-recognized venues. Some of the recent significant publications include:

  • "An attention-based multiscale transformer network for remote sensing image change detection," 2023, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Pavement crack detection from CCD images with a locally enhanced transformer network," 2022, International Journal of Applied Earth Observation and Geoinformation
  • "Polyp Detection from Colorectum Images by Using Attentive YOLOv5," 2021, Diagnostics
  • "DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery," 2020, Remote Sensing

The scientist frequently publishes in venues such as the International Journal of Applied Earth Observation and Geoinformation, IEEE Geoscience and Remote Sensing Letters, Remote Sensing, IEEE Transactions on Intelligent Transportation Systems, and the ISPRS Journal of Photogrammetry and Remote Sensing.

Collaborations play a significant role in their research. Frequent co-authors include Haiyan Guan, Jonathan Li, Dilong Li, Lingfei Ma, and Changhui Yu, with co-authorship counts ranging from 8 to 33 shared publications.

Best Publications

  • Using mobile laser scanning data for automated extraction of road markings

    Haiyan Guan;Jonathan Li;Jonathan Li;Yongtao Yu;Cheng Wang

  • Use of mobile LiDAR in road information inventory: a review

    Haiyan Guan;Jonathan Li;Shuang Cao;Yongtao Yu

  • Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds

    Yongtao Yu;Jonathan Li;Haiyan Guan;Cheng Wang

  • Deep learning-based tree classification using mobile LiDAR data

    Haiyan Guan;Yongtao Yu;Zheng Ji;Jonathan Li

  • Automated Road Information Extraction From Mobile Laser Scanning Data

    Haiyan Guan;Jonathan Li;Yongtao Yu;Michael Chapman

  • Learning Hierarchical Features for Automated Extraction of Road Markings From 3-D Mobile LiDAR Point Clouds

    Yongtao Yu;Jonathan Li;Haiyan Guan;Fukai Jia

  • An attention-based multiscale transformer network for remote sensing image change detection

    Unknown

  • Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments

    Lingfei Ma;Ying Li;Jonathan Li;Weikai Tan

  • Extraction of power-transmission lines from vehicle-borne lidar data

    Haiyan Guan;Yongtao Yu;Jonathan Li;Zheng Ji

  • Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data

    Haiyan Guan;Jonathan Li;Yongtao Yu;Michael A. Chapman

  • Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data

    Yongtao Yu;Jonathan Li;Jonathan Li;Chenglu Wen;Haiyan Guan

  • Automated Extraction of Urban Road Facilities Using Mobile Laser Scanning Data

    Yongtao Yu;Jonathan Li;Haiyan Guan;Cheng Wang

  • Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters

    Suoyan Pan;Haiyan Guan;Yating Chen;Yongtao Yu

  • Using Mobile LiDAR Data for Rapidly Updating Road Markings

    Haiyan Guan;Jonathan Li;Yongtao Yu;Zheng Ji

  • Rapid Localization and Extraction of Street Light Poles in Mobile LiDAR Point Clouds: A Supervoxel-Based Approach

    Fan Wu;Chenglu Wen;Yulan Guo;Jingjing Wang

  • Automated Detection of Urban Road Manhole Covers Using Mobile Laser Scanning Data

    Yongtao Yu;Haiyan Guan;Zheng Ji

  • Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature

    Ziyi Chen;Cheng Wang;Huan Luo;Hanyun Wang

  • Multispectral LiDAR Point Cloud Classification Using SE-PointNet++

    Zhuangwei Jing;Haiyan Guan;Peiran Zhao;Dilong Li

  • DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery

    Yongfeng Ren;Yongtao Yu;Haiyan Guan

  • Robust Traffic-Sign Detection and Classification Using Mobile LiDAR Data With Digital Images

    Haiyan Guan;Wanqian Yan;Yongtao Yu;Liang Zhong

  • Semantic Labeling of Mobile LiDAR Point Clouds via Active Learning and Higher Order MRF

    Huan Luo;Cheng Wang;Chenglu Wen;Ziyi Chen

  • Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data

    Chenglu Wen;Jonathan Li;Huan Luo;Yongtao Yu

Frequent Co-Authors

Haiyan Guan
Haiyan Guan Nanjing University of Information Science and Technology
Jonathan Li
Jonathan Li University of Waterloo
Cheng Wang
Cheng Wang Xiamen University
Xingjun Liu
Xingjun Liu Harbin Institute of Technology
Jun Yu
Jun Yu Hangzhou Dianzi University
Yonglong Lu
Yonglong Lu Chinese Academy of Sciences
Deren Li
Deren Li Wuhan University
Yulan Guo
Yulan Guo Sun Yat-sen University
Bisheng Yang
Bisheng Yang Wuhan University
Dawei Wang
Dawei Wang Chinese Academy of Sciences

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