no code implementations • 26 Mar 2024 • YiWei Chen, Chao Tang, Amir Aghabiglou, Chung San Chu, Yves Wiaux
We propose a new approach for non-Cartesian magnetic resonance image reconstruction.
no code implementations • 4 Jan 2024 • Ziqiang Zheng, YiWei Chen, Jipeng Zhang, Tuan-Anh Vu, Huimin Zeng, Yue Him Wong Tim, Sai-Kit Yeung
In this study, we carry out the preliminary and comprehensive case study of utilizing GPT-4V for marine analysis.
no code implementations • 26 Sep 2023 • Zhihao Zhang, YiWei Chen, Weizhan Zhang, Caixia Yan, Qinghua Zheng, Qi Wang, Wangdu Chen
Viewport prediction is a crucial aspect of tile-based 360 video streaming system.
no code implementations • 14 Jul 2023 • Gongxin Yao, Yixin Xuan, YiWei Chen, Yu Pan
Image-to-point cloud registration aims to determine the relative camera pose between an RGB image and a reference point cloud, serving as a general solution for locating 3D objects from 2D observations.
no code implementations • 3 Mar 2023 • YiWei Chen, Chen Jiang, Yu Pan
Single-Photon Image Super-Resolution (SPISR) aims to recover a high-resolution volumetric photon counting cube from a noisy low-resolution one by computational imaging algorithms.
2 code implementations • 7 Jan 2022 • YiWei Chen, Gongxin Yao, Yong liu, Hongye Su, Xiaomin Hu, Yu Pan
Photon-efficient imaging with the single-photon light detection and ranging (LiDAR) captures the three-dimensional (3D) structure of a scene by only a few detected signal photons per pixel.
2 code implementations • 5 Jan 2022 • Gongxin Yao, YiWei Chen, Yong liu, Xiaomin Hu, Yu Pan
Single-photon light detection and ranging (LiDAR) has been widely applied to 3D imaging in challenging scenarios.
1 code implementation • 19 Aug 2021 • YiWei Chen, Yu Pan, Daoyi Dong
We prove that such a rule is much more relaxed than that of TT, which means ResTT can easily address the vanishing and exploding gradient problem that exists in the existing TT models.
1 code implementation • 8 Mar 2021 • YiWei Chen, Yu Pan, Guofeng Zhang, Shuming Cheng
Quantum properties, such as entanglement and coherence, are indispensable resources in various quantum information processing tasks.
no code implementations • MIDL 2019 • Wanyue Li, Wen Kong, YiWei Chen, Jing Wang, Yi He, Guohua Shi, Guohua Deng
Fluorescein angiography can provide a map of retinal vascular structure and function, which is commonly used in ophthalmology diagnosis, however, this imaging modality may pose risks of harm to the patients.
no code implementations • MIDL 2019 • Jing Wang, YiWei Chen, Wanyue Li, Wen Kong, Yi He, Chunhui Jiang, Guohua Shi
A deep neural network (DNN) can assist in retinopathy screening by automatically classifying patients into normal and abnormal categories according to optical coherence tomography (OCT) images.