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eess.IV2023★ 1 cited
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset
Haojian Ning, Chengliang Wang, Xinrun Chen +1
Optical coherence tomography angiography (OCTA) is a noninvasive imaging technique that can reveal high-resolution retinal vessels. In this work, we propose an accurate and efficie…
eess.IV2021
Onsite Non-Line-of-Sight Imaging via Online Calibrations
Zhengqing Pan, Ruiqian Li, Tian Gao +6
There has been an increasing interest in deploying non-line-of-sight (NLOS) imaging systems for recovering objects behind an obstacle. Existing solutions generally pre-calibrate th…
eess.IV2021★ 93 cited
Non-line-of-Sight Imaging via Neural Transient Fields
Siyuan Shen, Zi Wang, Ping Liu +5
We present a neural modeling framework for Non-Line-of-Sight (NLOS) imaging. Previous solutions have sought to explicitly recover the 3D geometry (e.g., as point clouds) or voxel d…