Xiangyong Cao (曹相湧)
Xiangyong Cao (曹相湧)
Associate Professor, Xi'an Jiaotong University
Verified email at - Homepage
Cited by
Cited by
Hyperspectral image classification with Markov random fields and a convolutional neural network
X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley
IEEE Transactions on image processing 27 (5), 2354-2367, 2018
Hyperspectral image classification with convolutional neural network and active learning
X Cao, J Yao, Z Xu, D Meng
IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4604-4616, 2020
Denoising hyperspectral image with non-iid noise structure
Y Chen, X Cao, Q Zhao, D Meng, Z Xu
IEEE Transactions on Cybernetics 48 (3), 1054-1066, 2017
Underwater image enhancement with global-local networks and compressed-histogram equalization
X Fu, X Cao*
Signal Processing: Image Communication, 2020
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
X Cao, L Xu, D Meng, Q Zhao, Z Xu
Neurocomputing 226, 90-100, 2017
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions
X Cao, Q Zhao, D Meng, Y Chen, Z Xu
IEEE Transactions on Image Processing 25 (10), 4677-4690, 2016
Low-rank matrix factorization under general mixture noise distributions
X Cao, Y Chen, Q Zhao, D Meng, Y Wang, D Wang, Z Xu
IEEE International Conference on Computer Vision (ICCV), 1493-1501, 2015
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field
H Bi, L Xu, X Cao, Y Xue, X Zongben
IEEE Transactions on Image Processing, 2020
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising
X Cao, X Fu, C Xu, D Meng
IEEE Transactions on Geoscience and Remote Sensing, 2021
Online Rain/Snow Removal from Surveillance Videos
M Li, X Cao, Q Zhao, L Zhang, D Meng
IEEE Transactions on Image Processing, 2021
An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification
X Cao, J Yao, X Fu, H Bi, D Hong
IEEE Geoscience and Remote Sensing Letters, 2020
PanCSC-Net: A model-driven deep unfolding method for pansharpening
X Cao, X Fu, D Hong, Z Xu, D Meng
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field
X Cao, Z Xu, D Meng
Remote Sensing 11 (13), 1565, 2019
A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal
X Fu, M Wang, X Cao*, X Ding, Z Zha
IEEE Transactions on Neural Network and Learning System, 2021
New Interpretations of Normalization Methods in Deep Learning
J Sun, X Cao, H Liang, W Huang, Z Chen, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Robust subspace clustering via penalized mixture of Gaussians
J Yao(co-first author), X Cao(co-first author), Q Zhao, D Meng, Z Xu
Neurocomputing 278, 4-11, 2018
Polsar image classification based on three-dimensional wavelet texture features and Markov random field
H Bi, L Xu, X Cao, Z Xu
IEEE International Geoscience and Remote Sensing Symposium, 3921-3928, 2017
Discovering Influential Factors in Variational Autoencoders
S Liu, J Liu, Q Zhao, X Cao, H Li, D Meng, H Meng, S Liu
Pattern Recognition, 2020
Memory-augmented Deep Unfolding Network for Guided Image Super-resolution
M Zhou, K Yan, J Pan, W Ren, Q Xie, X Cao*
International Journal of Computer Vision, 2022
Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise
X Rui, X Cao, Q Xie, Z Yue, Q Zhao, D Meng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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