Xinyu Niu

ORCID: 0009-0003-0136-325X
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About
Contact & Profiles
Research Areas
  • 3D Surveying and Cultural Heritage
  • Advanced Vision and Imaging
  • Optical measurement and interference techniques
  • Advanced Neural Network Applications
  • Digital Filter Design and Implementation
  • CCD and CMOS Imaging Sensors
  • Human Pose and Action Recognition
  • Image Enhancement Techniques
  • Data Management and Algorithms
  • Automated Road and Building Extraction
  • Remote-Sensing Image Classification
  • Neural Networks and Reservoir Computing

PLA Information Engineering University
2024

Determining the optimal generalization operators of city buildings is a crucial step during building process and an important aspect realizing cross-scale updating map data. It decision-making behavior cartographer that can be learned simulated using artificial intelligence algorithms. Multi-scale data provide rich samples to train determination process. However, previous studies have focused primarily on intelligent use each operator separately, neglecting scheduling issue between multiple...

10.1080/10106049.2024.2306265 article EN cc-by-nc Geocarto International 2024-01-01

Over the past few years, 2-D convolutional neural networks (CNNs) have demonstrated their great success in a wide range of computer vision applications, such as image classification and object detection. At same time, 3-D CNNs, variant shown excellent ability to analyze data, video geometric data. However, heavy algorithmic complexity CNNs imposes substantial overhead over speed these networks, which limits deployment real-life applications. Although various domain-specific accelerators been...

10.1109/tnnls.2021.3116302 article EN IEEE Transactions on Neural Networks and Learning Systems 2021-10-14
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