Kaixuan Wei

Orcid: 0000-0002-9887-0455

According to our database1, Kaixuan Wei authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization.
ACM Trans. Graph., August, 2023

Instance Segmentation in the Dark.
Int. J. Comput. Vis., August, 2023

Single-shot Phase Retrieval from a Fractional Fourier Transform Perspective.
CoRR, 2023

Spatially Varying Nanophotonic Neural Networks.
CoRR, 2023

2022
Physics-Based Noise Modeling for Extreme Low-Light Photography.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.
J. Mach. Learn. Res., 2022

Dynamic proximal unrolling network for compressive imaging.
Neurocomputing, 2022

Deep plug-and-play prior for hyperspectral image restoration.
Neurocomputing, 2022

2021
3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising.
IEEE Trans. Neural Networks Learn. Syst., 2021

Dynamic Proximal Unrolling Network for Compressive Sensing Imaging.
CoRR, 2021

Crafting Object Detection in Very Low Light.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems.
CoRR, 2020

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising.
CoRR, 2020

Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems.
Proceedings of the 37th International Conference on Machine Learning, 2020

A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Low-rank Bayesian tensor factorization for hyperspectral image denoising.
Neurocomputing, 2019

Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018


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