no code implementations • 30 Apr 2024 • Zhenglin Li, Bo Guan, Yuanzhou Wei, Yiming Zhou, Jingyu Zhang, Jinxin Xu
Generative Adversarial Networks (GANs) have significantly advanced image processing, with Pix2Pix being a notable framework for image-to-image translation.
no code implementations • 23 Mar 2024 • Zhenglin Li, Yangchen Huang, Mengran Zhu, Jingyu Zhang, JingHao Chang, Houze Liu
Our method focuses on manipulating the feature map extracted from the Diffusion Model to be more semantically useful, and for this, we propose two methods: Feature Attention and FDAF.
no code implementations • 4 Mar 2024 • Zhenglin Li, Haibei Zhu, Houze Liu, Jintong Song, Qishuo Cheng
This study conducts a thorough examination of malware detection using machine learning techniques, focusing on the evaluation of various classification models using the Mal-API-2019 dataset.
no code implementations • 23 Feb 2023 • Jinan Yu, Liyan Ma, Zhenglin Li, Yan Peng, Shaorong Xie
Open-world object detection (OWOD) is a challenging problem that combines object detection with incremental learning and open-set learning.
no code implementations • 15 Feb 2023 • Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele Hu, Maarten De Vos, Lyudmila S Mihaylova
This study proposes a framework for automated limb-movement detection by fusing data from two EMG sensors (from the left and right limb) through a Dirichlet process mixture model.