Baihong Lin

According to our database, Baihong Lin authored at least 12 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Deep Hyperspectral and Multispectral Image Fusion via Probabilistic Matrix Factorization.

Baihong Lin, Yulan Guo

IEEE Trans. Geosci. Remote. Sens., 2023

Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation.

Baihong Lin, Zengrong Lin, Yulan Guo, Yulan Zhang, Jianxiao Zou, Shicai Fan

CoRR, 2023

Label-guided Real-time Fusion Network forRGB-T Semantic Segmentation.

Zengrong Lin, Baihong Lin, Yulan Guo

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

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

Baihong Lin, Yiqi Zhang, Zengrong Lin, Xiaoqing Wang, Haifeng Huang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020

Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization.

Baihong Lin, Xiaoming Tao, Jianhua Lu

IEEE Trans. Image Process., 2020

2018

Hyperspectral and Multispectral Image Fusion Based on Low Rank Constrained Gaussian Mixture Model.

Baihong Lin, Xiaoming Tao, Yiping Duan, Jianhua Lu

IEEE Access, 2018

Hyperspectral Image Denoising via Nonnegative Matrix Factorization and Convolutional Neural Networks.

Baihong Lin, Xiaoming Tao, Xiaowei Qin, Yiping Duan, Jianhua Lu

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Single Image Super-Resolution Using a Non-Local 3D Convolutional Neural Network.

Zhuang Xiong, Xiaoming Tao, Nan Zhao, Baihong Lin

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Bayesian Hyperspectral and Multispectral Image Fusions via Double Matrix Factorization.

Baihong Lin, Xiaoming Tao, Mai Xu, Linhao Dong, Jianhua Lu

IEEE Trans. Geosci. Remote. Sens., 2017

2016

Variational EM approach for high resolution hyper-spectral imaging based on probabilistic matrix factorization.

Baihong Lin, Xiaoming Tao, Linhao Dong, Jianhua Lu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Variational Bayesian image fusion based on combined sparse representations.

Baihong Lin, Xiaoming Tao, Shaoyang Li, Linhao Dong, Jianhua Lu

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014

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

Baihong Lin, Qi Li, Yukui Pei, Liuguo Yin, Jianhua Lu

Proceedings of the Sixth International Conference on Ubiquitous and Future Networks, 2014