no code implementations • 25 Mar 2024 • Dayu Shi, Xun Zhang, Ziqi Liu, Xuanbang Chen, Jianghao Li, Xiaodong Liu, William Shieh
This paper introduces a novel approach to optimize energy efficiency in wavelength division multiplexing (WDM) Visible Light Communication (VLC) systems designed for indoor broadcasting networks.
1 code implementation • 13 May 2023 • Xinyu Lin, Yingjie Zhou, Xun Zhang, Yipeng Liu, Ce Zhu
Existing binary descriptors may not perform well for long-term visual measurement tasks due to their sensitivity to illumination variations.
no code implementations • 4 Jun 2022 • Xun Zhang, Mathew Schwartz, Muhammad Usman, Petros Faloutsos, Mubbasir Kapadia
In this paper, we focus on the modification of policies that can lead to movement patterns and directional guidance of occupants, which are represented as agents in a 3D simulation engine.
no code implementations • 29 Jun 2021 • Hongxiu Zhao, Xun Zhang, Faouzi Bader, Yue Zhang
Many algorithms for visible light positioning (VLP) localization do not consider the shapes of the transmitters, which leads to the impracticality of the algorithm and the low localization accuracy.
no code implementations • 22 Jun 2019 • Xun Zhang, William B. Haskell, Zhisheng Ye
This framework includes a number of existing deterministic and variance-reduced algorithms for function minimization as special cases, and it is also applicable to more general problems such as saddle-point problems and variational inequalities.
1 code implementation • 3 Nov 2018 • Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph Gonzalez
Enterprises are increasingly deploying large camera networks for video analytics.
no code implementations • CONLL 2017 • Xun Zhang, Weiwei Sun, Xiaojun Wan
This paper is concerned with whether deep syntactic information can help surface parsing, with a particular focus on empty categories.
no code implementations • 25 Mar 2017 • Long Zhao, Fangda Han, Xi Peng, Xun Zhang, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas
We first recover the facial identity and expressions from the video by fitting a face morphable model for each frame.