Jin-Liang Xiao

Orcid: 0000-0001-8572-5657

According to our database1, Jin-Liang Xiao authored at least 12 papers between 2022 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
Fast Model-guided Instance-wise Adaptation Framework for Real-world Pansharpening with Fidelity Constraints.
CoRR, April, 2026

Unsupervised coefficient learning framework for variational pansharpening.
Inf. Fusion, 2026

Hyperspectral and Multispectral Image Fusion via Neural Tensor Decomposition With Factor Alignment.
IEEE Access, 2026

Training and Inference Within 1 Second - Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data.
CoRR, April, 2025

Pansharpening Variational Model Based on Internal Adaptive Spatial Fidelity and External Deep-Driven Injection.
IEEE Trans. Geosci. Remote. Sens., 2025

Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
A Coupled Tensor Double-Factor Method for Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Geosci. Remote. Sens., 2024

A Novel Fidelity Based on the Adaptive Domain for Pansharpening.
Proceedings of the IGARSS 2024, 2024

Endmember Distinguished Low-Rank and Sparse Representation for Hyperspectral Unmixing.
Proceedings of the IGARSS 2024, 2024

2023
Variational Pansharpening Based on Coefficient Estimation With Nonlocal Regression.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A New Context-Aware Details Injection Fidelity With Adaptive Coefficients Estimation for Variational Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2022


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