no code implementations • 24 Apr 2024 • Ting Luo, Jing Zhang, Yingwei Qiu, Li Zhang, Yaohua Hu, Zhuliang Yu, Zhen Liang
The proposed MDDD includes four main modules: manifold feature transformation, dynamic distribution alignment, classifier learning, and ensemble learning.
1 code implementation • CVPR 2023 • Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang
In light of this, we propose to disentangle the style representations at both writer and character levels from individual handwritings to synthesize realistic stylized online handwritten characters.
no code implementations • 3 Dec 2020 • Jianli Yu, Zhuliang Yu
In this article, we proposed a cross-correlation based discriminant criterion (XCDC) which assesses the importance of a channel for discriminating the mental states of different motor imagery (MI) tasks.
no code implementations • 31 May 2019 • Mengxi Jiang, Zhuliang Yu, Cuihua Li, Yunqi Lei
Specifically, we propose a Shape Decomposition Model (SDM) in which a 3D pose is considered as the superposition of two parts which are global structure together with some deformations.
no code implementations • 12 Feb 2019 • Chaorui Deng, Qi Wu, Guanghui Xu, Zhuliang Yu, Yanwu Xu, Kui Jia, Mingkui Tan
Most state-of-the-art methods in VG operate in a two-stage manner, wherein the first stage an object detector is adopted to generate a set of object proposals from the input image and the second stage is simply formulated as a cross-modal matching problem that finds the best match between the language query and all region proposals.
no code implementations • 9 Aug 2018 • Xiao-Feng Xie, Zhuliang Yu, Zhenghui Gu, Yuanqing Li
Two approaches, iterative random walks and boundary random walks, are proposed for segmentation potential, which is the key step in feedback system.