1 code implementation • 22 Mar 2023 • Jeffrey Alido, Joseph Greene, Yujia Xue, Guorong Hu, Yunzhe Li, Mitchell Gilmore, Kevin J. Monk, Brett T. DiBenedictis, Ian G. Davison, Lei Tian
Broadly, we believe that our simulator-based deep learning approach can be applied to a wide range of imaging through scattering techniques where experimental paired training data is lacking.
no code implementations • 7 May 2022 • Yujia Xue, Siming Zheng, Waleed Tahir, Zhengjue Wang, Hao Zhang, Ziyi Meng, Lei Tian, Xin Yuan
We consider the image and video compression on resource limited platforms.
1 code implementation • 7 Jan 2019 • Yujia Xue, Shiyi Cheng, Yunzhe Li, Lei Tian
We believe our uncertainty learning framework is widely applicable to many DL-based biomedical imaging techniques for assessing the reliability of DL predictions.
1 code implementation • 11 Jun 2018 • Yunzhe Li, Yujia Xue, Lei Tian
Importantly, instead of characterizing a single input-output relation of a fixed medium, we train our CNN to learn statistical information contained in several scattering media of the same class.
1 code implementation • 27 Apr 2018 • Thanh Nguyen, Yujia Xue, Yunzhe Li, Lei Tian, George Nehmetallah
Specifically, we show that it is possible to reconstruct high-SBP dynamic cell videos by a CNN trained only on the first FPM dataset captured at the beginning of a time-series experiment.
no code implementations • ICCV 2017 • Yujia Xue, Kang Zhu, Qiang Fu, Xilin Chen, Jingyi Yu
In this paper, we present a single camera hyperspectral light field imaging solution that we call Snapshot Plenoptic Imager (SPI).
no code implementations • 4 Sep 2017 • Kang Zhu, Yujia Xue, Qiang Fu, Sing Bing Kang, Xilin Chen, Jingyi Yu
There are two parts to extracting scene depth.