97 citations · 226 across the 10 of their papers we have counts for
10 papers
Spatially Varying Nanophotonic Neural Networks
Kaixuan Wei, Xiao Li, Johannes Froech +5
The explosive growth of computation and energy cost of artificial intelligence has spurred strong interests in new computing modalities as potential alternatives to conventional el…
Instance Segmentation in the Dark
Linwei Chen, Ying Fu, Kaixuan Wei +2
Existing instance segmentation techniques are primarily tailored for high-visibility inputs, but their performance significantly deteriorates in extremely low-light environments. I…
Deep Plug-and-Play Prior for Hyperspectral Image Restoration
Zeqiang Lai, Kaixuan Wei, Ying Fu
Deep-learning-based hyperspectral image (HSI) restoration methods have gained great popularity for their remarkable performance but often demand expensive network retraining whenev…
Physics-based Noise Modeling for Extreme Low-light Photography
Kaixuan Wei, Ying Fu, Yinqiang Zheng +1
Enhancing the visibility in extreme low-light environments is a challenging task. Under nearly lightless condition, existing image denoising methods could easily break down due to…
Dynamic Proximal Unrolling Network for Compressive Imaging
Yixiao Yang, Ran Tao, Kaixuan Wei +1
Compressive imaging aims to recover a latent image from under-sampled measurements, suffering from a serious ill-posed inverse problem. Recently, deep neural networks have been app…
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang +3
Plug-and-Play (PnP) is a non-convex optimization framework that combines proximal algorithms, for example, the alternating direction method of multipliers (ADMM), with advanced den…
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
Kaixuan Wei, Ying Fu, Jiaolong Yang +1
Lacking rich and realistic data, learned single image denoising algorithms generalize poorly to real raw images that do not resemble the data used for training. Although the proble…
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Kaixuan Wei, Ying Fu, Hua Huang
In this paper, we propose an alternating directional 3D quasi-recurrent neural network for hyperspectral image (HSI) denoising, which can effectively embed the domain knowledge --…
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang +3
Plug-and-play (PnP) is a non-convex framework that combines ADMM or other proximal algorithms with advanced denoiser priors. Recently, PnP has achieved great empirical success, esp…
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
Kaixuan Wei, Jiaolong Yang, Ying Fu +2
Removing undesirable reflections from a single image captured through a glass window is of practical importance to visual computing systems. Although state-of-the-art methods can o…