no code implementations • 15 Nov 2023 • Junjie Yang, Zhihao Zhao, Siyuan Shen, Daniel Zapp, Mathias Maier, Kai Huang, Nassir Navab, M. Ali Nasseri
Robotic ophthalmic surgery is an emerging technology to facilitate high-precision interventions such as retina penetration in subretinal injection and removal of floating tissues in retinal detachment depending on the input imaging modalities such as microscopy and intraoperative OCT (iOCT).
no code implementations • 23 Aug 2023 • Julia Bazinska, Andrei Ivanov, Tal Ben-Nun, Nikoli Dryden, Maciej Besta, Siyuan Shen, Torsten Hoefler
Graph Neural Networks (GNNs) are a powerful tool for handling structured graph data and addressing tasks such as node classification, graph classification, and clustering.
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 • 4 Apr 2023 • Wuwei Ren, Siyuan Shen, Linlin Li, Shengyu Gao, Yuehan Wang, Liangtao Gu, Shiying Li, Xingjun Zhu, Jiahua Jiang, Jingyi Yu
Light scattering imposes a major obstacle for imaging objects seated deeply in turbid media, such as biological tissues and foggy air.
1 code implementation • CVPR 2023 • HanYang Wang, Bo Li, Shuang Wu, Siyuan Shen, Feng Liu, Shouhong Ding, Aimin Zhou
Dynamic Facial Expression Recognition (DFER) is a rapidly developing field that focuses on recognizing facial expressions in video format.
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Dynamic Facial Expression Recognition
Facial Expression Recognition
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 • CVPR 2022 • Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam
Object pose estimation is crucial for robotic applications and augmented reality.
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.
no code implementations • 3 Dec 2021 • Ziwang Fu, Feng Liu, HanYang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou
Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition.
no code implementations • 19 Feb 2021 • Siyuan Shen, Yang Yin, Tianjia Shao, He Wang, Chenfanfu Jiang, Lei Lan, Kun Zhou
This paper provides a new avenue for exploiting deep neural networks to improve physics-based simulation.
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.
no code implementations • 15 Sep 2020 • Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang
We believe our method will inspire a wide-range of new algorithms for deep learning and numerical optimization.