Baihong Lin

Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization

Xiaoming Tao, Baihong Lin, Jianhua Lu, 2020, IEEE Transactions on Image Processing.

Deep Hyperspectral and Multispectral Image Fusion via Probabilistic Matrix Factorization

Yulan Guo, Baihong Lin, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Bayesian Hyperspectral and Multispectral Image Fusions via Double Matrix Factorization

Jianhua Lu, Linhao Dong, Mai Xu, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral and Multispectral Image Fusion Via Nonnegative Matrix Factorization and Deep Prior Regularization

Xiaoqing Wang, Haifeng Huang, Baihong Lin, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation

Jianxiao Zou, Shicai Fan, Yulan Guo, 2023, ArXiv.

Design and Efficient Hardware Implementation Schemes for Non-Quasi-Cyclic LDPC Codes

Jianhua Lu, Liuguo Yin, Yukui Pei, 2017 .

High speed LDPC decoder design based on general overlapped message-passing architecture

Jianhua Lu, Liuguo Yin, Qi Li, 2014, 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN).

DRTAM: Dual Rank-1 Tensor Attention Module

Juntao Hu, Baihong Lin, Liang Wang, 2022, ArXiv.

Synthetic aperture radar image despeckling neural network based on maximum a posteriori probability estimation

Xiaoqing Wang, Mingrui Chen, Haifeng Huang, 2023, International Journal of Remote Sensing.