Xiangyong Cao

Orcid: 0000-0001-7912-3457

According to our database1, Xiangyong Cao authored at least 53 papers between 2015 and 2024.

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Bibliography

2024
Learnable Representative Coefficient Image Denoiser for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2024

A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

CRS-Diff: Controllable Generative Remote Sensing Foundation Model.
CoRR, 2024

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models.
CoRR, 2024

2023
Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior.
Remote. Sens., April, 2023

Hyperspectral Image Denoising Via Texture-Preserved Total Variation Regularizer.
IEEE Trans. Geosci. Remote. Sens., 2023

Enhancing Efficient Global Understanding Network With CSWin Transformer for Urban Scene Images Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening.
Remote. Sens., 2023

Memory-Augmented Deep Unfolding Network for Guided Image Super-resolution.
Int. J. Comput. Vis., 2023

Neural Gradient Regularizer.
CoRR, 2023

A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.
CoRR, 2023

Masked Contrastive Graph Representation Learning for Age Estimation.
CoRR, 2023

HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising.
CoRR, 2023

SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization.
CoRR, 2023

Unsupervised Pansharpening via Low-rank Diffusion Model.
CoRR, 2023

A Hyper-weight Network for Hyperspectral Image Denoising.
CoRR, 2023

PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Probability-based Global Cross-modal Upsampling for Pansharpening.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks.
IEEE Trans. Netw. Sci. Eng., 2022

A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal.
IEEE Trans. Neural Networks Learn. Syst., 2022

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

MD³Net: Integrating Model-Driven and Data-Driven Approaches for Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2022

Sequential ISAR Target Classification Based on Hybrid Transformer.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Denoising by Asymmetric Noise Modeling.
IEEE Trans. Geosci. Remote. Sens., 2022

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.
IEEE Trans. Geosci. Remote. Sens., 2022

SRAF-Net: A Scene-Relevant Anchor-Free Object Detection Network in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Denoising With Weighted Nonlocal Low-Rank Model and Adaptive Total Variation Regularization.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2022

PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2022

TRQ3DNet: A 3D Quasi-Recurrent and Transformer Based Network for Hyperspectral Image Denoising.
Remote. Sens., 2022

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.
CoRR, 2022

Proximal PanNet: A Model-Based Deep Network for Pansharpening.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Online Rain/Snow Removal From Surveillance Videos.
IEEE Trans. Image Process., 2021

An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2021

Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field.
IEEE Trans. Image Process., 2020

Hyperspectral Image Classification With Convolutional Neural Network and Active Learning.
IEEE Trans. Geosci. Remote. Sens., 2020

Underwater image enhancement with global-local networks and compressed-histogram equalization.
Signal Process. Image Commun., 2020

Discovering influential factors in variational autoencoders.
Pattern Recognit., 2020

New Interpretations of Normalization Methods in Deep Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Remote. Sens., 2019

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding.
CoRR, 2019

2018
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network.
IEEE Trans. Image Process., 2018

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.
IEEE Trans. Cybern., 2018

Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018

Discovering Influential Factors in Variational Autoencoder.
CoRR, 2018

2017
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.
Neurocomputing, 2017

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network.
CoRR, 2017

Polsar image classification based on three-dimensional wavelet texture features and Markov random field.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.
IEEE Trans. Image Process., 2016

Low-rank Matrix Factorization under General Mixture Noise Distributions.
CoRR, 2016

2015
Low-Rank Matrix Factorization under General Mixture Noise Distributions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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