Yi Xiao

Orcid: 0000-0001-9533-8917

Affiliations:
  • Wuhan University, School of Geodesy and Geomatics, China


According to our database1, Yi Xiao authored at least 25 papers between 2021 and 2025.

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

Timeline

Legend:

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Bibliography

2025
SSTtrack: A unified hyperspectral video tracking framework via modeling spectral-spatial-temporal conditions.
Inf. Fusion, 2025

2024
Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning.
IEEE CAA J. Autom. Sinica, November, 2024

Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Local-Global Temporal Difference Learning for Satellite Video Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution.
IEEE Trans. Image Process., 2024

EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024

A CNN-Transformer Embedded Unfolding Network for Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024

SPIRIT: Spectral Awareness Interaction Network With Dynamic Template for Hyperspectral Object Tracking.
IEEE Trans. Geosci. Remote. Sens., 2024

PHTrack: Prompting for Hyperspectral Video Tracking.
IEEE Trans. Geosci. Remote. Sens., 2024

Physics-Informed Multitemporal Ensemble Learning for Near Real-Time Precipitation Estimates From Himawari-8/-9.
IEEE Geosci. Remote. Sens. Lett., 2024

PhDnet: A novel physic-aware dehazing network for remote sensing images.
Inf. Fusion, 2024

SENSE: Hyperspectral video object tracker via fusing material and motion cues.
Inf. Fusion, 2024

Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution.
CoRR, 2024

Remote Sensing Image Super-Resolution with Top-K Token Selective Transformer.
Proceedings of the IGARSS 2024, 2024

2023
Spectral super-resolution meets deep learning: Achievements and challenges.
Inf. Fusion, September, 2023

From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution.
Inf. Fusion, August, 2023

An efficient unfolding network with disentangled spatial-spectral representation for hyperspectral image super-resolution.
Inf. Fusion, June, 2023

Deep Blind Super-Resolution for Satellite Video.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning a Local-Global Alignment Network for Satellite Video Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection.
IEEE Trans. Geosci. Remote. Sens., 2022

Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer.
Int. J. Appl. Earth Obs. Geoinformation, 2022

DsTer: A dense spectral transformer for remote sensing spectral super-resolution.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Learning an Intrinsic Graph Neural Network for Sartellite Video Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022


2021
A Recurrent Refinement Network for Satellite Video Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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