Yi-Si Luo

According to our database, Yi-Si Luo authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion.

Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Yi-Si Luo, Tai-Xiang Jiang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery.

Yisi Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Unsupervised video rain streaks removal with deep foreground-background modeling.

Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Jun Liu

J. Comput. Appl. Math., January, 2024

Hyperspectral Image Denoising via Double Subspace Deep Prior.

Kexin Shi, Jiangjun Peng, Jing Gao, Yisi Luo, Shuang Xu

IEEE Trans. Geosci. Remote. Sens., 2024

DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery.

Ting-Wei Zhou, Xi-Le Zhao, Jian-Li Wang, Yi-Si Luo, Min Wang, Xiao-Xuan Bai, Hong Yan

CoRR, 2024

NeurTV: Total Variation on the Neural Domain.

Yisi Luo, Xile Zhao, Kai Ye, Deyu Meng

CoRR, 2024

Revisiting Nonlocal Self-Similarity from Continuous Representation.

Yisi Luo, Xile Zhao, Deyu Meng

CoRR, 2024

2023

Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3-D Seismic Denoising.

Zitai Xu, Yisi Luo, Bangyu Wu, Deyu Meng, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2023

S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning.

Zitai Xu, Yi-Si Luo, Bangyu Wu, Deyu Meng

IEEE Trans. Geosci. Remote. Sens., 2023

H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization.

Jia-Yi Li, Jinyu Xie, Yi-Si Luo, Xi-Le Zhao, Jian-Li Wang

IEEE Geosci. Remote. Sens. Lett., 2023

H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization.

Jiayi Li, Jinyu Xie, Yisi Luo, Xile Zhao, Jianli Wang

CoRR, 2023

2022

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery.

Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li

IEEE Trans. Image Process., 2022

UConNet: Unsupervised Controllable Network for Image and Video Deraining.

Jun-Hao Zhuang, Yi-Si Luo, Xile Zhao, Tai-Xiang Jiang, Bichuan Guo

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging.

Yi-Si Luo, Xile Zhao, Deyu Meng, Tai-Xiang Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior.

Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal.

Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang

IEEE Signal Process. Lett., 2021

2020

Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior.

Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang

CoRR, 2020