Yi Li

Orcid: 0000-0003-4226-6635

Affiliations:
  • Xidian University, School of Telecommunication Engineering, China
  • Tokushima University, Japan (PhD 2012)


According to our database1, Yi Li authored at least 12 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
FASTCC: A lightweight human pose detection method leveraging SimCC.
Neurocomputing, 2025

2024
A Concurrent Multiscale Detector for End-to-End Image Matching.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

LM-Net: A Lightweight Matching Network for Remote Sensing Image Matching and Registration.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Efficient and Robust: A Cross-Modal Registration Deep Wavelet Learning Method for Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022
Cluster Alignment With Target Knowledge Mining for Unsupervised Domain Adaptation Semantic Segmentation.
IEEE Trans. Image Process., 2022

Self-Distillation Feature Learning Network for Optical and SAR Image Registration.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Modality Independent Descriptor Learning for Optical and SAR Image Patch Matching.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Multi-Relation Attention Network for Image Patch Matching.
IEEE Trans. Image Process., 2021

More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation.
CoRR, 2021

Deep Global Feature-Based Template Matching for Fast Multi-Modal Image Registration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Feature Decomposition Framework for Multi-Modal Image Patch Matching.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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