Search Results for author: Shu Chen

Found 8 papers, 5 papers with code

Structure-Aware NeRF without Posed Camera via Epipolar Constraint

1 code implementation1 Oct 2022 Shu Chen, Yang Zhang, Yaxin Xu, Beiji Zou

This two-stage strategy is not convenient to use and degrades the performance because the error in the pose extraction can propagate to the view synthesis.

Novel View Synthesis

Estimation of 3D Human Pose Using Prior Knowledge

no code implementations9 May 2021 Shu Chen, Lei Zhang, Beiji Zou

Estimating three-dimensional human poses from the positions of two-dimensional joints has shown promising results. However, using two-dimensional joint coordinates as input loses more information than image-based approaches and results in ambiguity. In order to overcome this problem, we combine bone length and camera parameters with two-dimensional joint coordinates for input. This combination is more discriminative than the two-dimensional joint coordinates in that it can improve the accuracy of the model's prediction depth and alleviate the ambiguity that comes from projecting three-dimensional coordinates into two-dimensional space.

Pose Estimation

Dynamical evolution in a one-dimensional incommensurate lattice with $\mathcal{PT}$ symmetry

no code implementations14 Jan 2021 Zhihao Xu, Shu Chen

We investigate the dynamical evolution of a parity-time ($\mathcal{PT}$) symmetric extension of the Aubry-Andr\'{e} (AA) model, which exhibits the coincidence of a localization-delocalization transition point with a $\mathcal{PT}$ symmetry breaking point.

Disordered Systems and Neural Networks

MedDialog: Two Large-scale Medical Dialogue Datasets

1 code implementation arXiv 2020 Xuehai He, Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie

Medical dialogue systems are promising in assisting in telemedicine to increase access to healthcare services, improve the quality of patient care, and reduce medical costs.

Real-Time Illegal Parking Detection System Based on Deep Learning

no code implementations5 Oct 2017 Xuemei Xie, Chenye Wang, Shu Chen, Guangming Shi, Zhifu Zhao

Experiments show that the system can achieve a 99% accuracy and real-time (25FPS) detection with strong robustness in complex environments.

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