no code implementations • 26 Feb 2024 • Yuan Zhu, Yanqiang Wang, Yadong An, Hong Yang, Yiming Pan
This work integrates drone technology, iOS development, and deep learning techniques to integrate traffic video acquisition, object detection, object tracking, and traffic behavior analysis functions on mobile devices.
no code implementations • 15 Feb 2024 • Linfeng Jiang, Yuan Zhu
However, due to the limitations of the sequencing technique, the scRNA-seq data are represented with sparsity, whichcontains missing gene values, i. e., zero values, called dropout.
no code implementations • 21 Mar 2023 • Max Peter Ronecker, Yuan Zhu
This paper introduces a method for safely navigating an autonomous vehicle in highway scenarios by combining deep Q-Networks and insight from control theory.
1 code implementation • 4 Jun 2020 • Qing Yang, Xia Zhu, Jong-Kae Fwu, Yun Ye, Ganmei You, Yuan Zhu
Deep neural networks (DNNs) have recently been applied and used in many advanced and diverse tasks, such as medical diagnosis, automatic driving, etc.
1 code implementation • 24 Apr 2020 • Qing Yang, Xia Zhu, Jong-Kae Fwu, Yun Ye, Ganmei You, Yuan Zhu
Face anti-spoofing has become an increasingly important and critical security feature for authentication systems, due to rampant and easily launchable presentation attacks.
1 code implementation • 10 Mar 2020 • Yun Ye, Ganmei You, Jong-Kae Fwu, Xia Zhu, Qing Yang, Yuan Zhu
By using OT, most negligible or unimportant channels are pruned to achieve high sparsity while minimizing performance degradation.
1 code implementation • 17 Oct 2019 • Houwang Zhang, Yuan Zhu, Hanying Zheng
In this paper, a novel algorithm called a non-local adaptive mean filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented.