no code implementations • 3 Feb 2024 • Youjia Wang, Yiwen Wu, Ruiqian Li, Hengan Zhou, Hongyang Lin, Yingwenqi Jiang, Yingsheng Zhu, Guanpeng Long, Jingya Wang, Lan Xu, Jingyi Yu
In this paper, we propose IMUSIC to fill the gap, a novel path for facial expression capture using purely IMU signals, significantly distant from previous visual solutions. The key design in our IMUSIC is a trilogy.
no code implementations • 21 Apr 2023 • Binbin Huang, Xingyue Peng, Siyuan Shen, Suan Xia, Ruiqian Li, Yanhua Yu, Yuehan Wang, Shenghua Gao, Wenzheng Chen, Shiying Li, Jingyi Yu
The core of our method is to put the object nearby diffuse walls and augment the LOS scan in the front view with the NLOS scans from the surrounding walls, which serve as virtual ``mirrors'' to trap lights toward the object.
no code implementations • ICCV 2023 • Yanhua Yu, Siyuan Shen, Zi Wang, Binbin Huang, Yuehan Wang, Xingyue Peng, Suan Xia, Ping Liu, Ruiqian Li, Shiying Li
Recovering information from non-line-of-sight (NLOS) imaging is a computationally-intensive inverse problem.
no code implementations • 29 Dec 2021 • Zhengqing Pan, Ruiqian Li, Tian Gao, Zi Wang, Ping Liu, Siyuan Shen, Tao Wu, Jingyi Yu, Shiying Li
There has been an increasing interest in deploying non-line-of-sight (NLOS) imaging systems for recovering objects behind an obstacle.
1 code implementation • 2 Jan 2021 • Siyuan Shen, Zi Wang, Ping Liu, Zhengqing Pan, Ruiqian Li, Tian Gao, Shiying Li, Jingyi Yu
We present a neural modeling framework for Non-Line-of-Sight (NLOS) imaging.