Dinghua Xue

Orcid: 0000-0001-8274-5249

According to our database1, Dinghua Xue authored at least 13 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TextSRFormer: Multi-head axial self-attention transformer for scene text image super-resolution.
Signal Process., 2026

Dynamic spatiotemporal air quality modeling with local and sparse spatial fusion and structured temporal modeling.
Inf. Sci., 2026

An interpretable spatiotemporal method with a composite attention mechanism for the prediction of air pollution with stable and dynamic spatial relationships.
Expert Syst. Appl., 2026

2025
CAP-Shift: Domain Adaptive Nighttime Object Detection via Illumination Degradation and Confidence-Adaptive Pseudo Labeling.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

2024
Focusing on Significant Guidance: Preliminary Knowledge Guided Distillation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023
Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Difference Enhancement and Spatial-Spectral Nonlocal Network for Change Detection in VHR Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Fuzzy STUDENT'S T-Distribution Model Based on Richer Spatial Combination.
IEEE Trans. Fuzzy Syst., 2022

Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021
Unsupervised Change Detection Using Multiscale and Multiresolution Gaussian-Mixture-Model Guided by Saliency Enhancement.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Fast and Automatic Image Segmentation Using Superpixel-Based Graph Clustering.
IEEE Access, 2020

2019
End-to-end Change Detection Using a Symmetric Fully Convolutional Network for Landslide Mapping.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Unsupervised Change Detection Using Fast Fuzzy Clustering for Landslide Mapping from Very High-Resolution Images.
Remote. Sens., 2018


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