no code implementations • 3 Aug 2022 • Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu
Then, we propose a regression model for the HCD, which decomposes the source signal into the regressed signal and changed signal, and requires the regressed signal have the same spectral property as the target signal on the same graph.
no code implementations • 3 Aug 2022 • Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu
In this first part, we analyze the HCD with GSP from the vertex domain.
no code implementations • 27 Feb 2022 • Junzheng Wu, Ruigang Fu, Qiang Liu, Weiping Ni, Kenan Cheng, Biao Li, Yuli Sun
To address this limitation, a dual neighborhood hypergraph neural network is proposed in this article, which combines the multiscale superpixel segmentation and hypergraph convolution to model and exploit the complex relationships.
no code implementations • 17 Jun 2021 • Xiang Tan, Li Zhou, Haijun Wang, Yuli Sun, Haitao Zhao, Boon-Chong Seet, Jibo Wei, Victor C. M. Leung
With the development of the 5G and Internet of Things, amounts of wireless devices need to share the limited spectrum resources.
Multi-agent Reinforcement Learning Reinforcement Learning (RL)
no code implementations • 16 Feb 2021 • Junzheng Wu, Biao Li, Yao Qin, Weiping Ni, Han Zhang, Yuli Sun
In this paper, a novel CD method based on the graph convolutional network (GCN) and multiscale object-based technique is proposed for both homogeneous and heterogeneous images.
no code implementations • 29 Aug 2020 • Lin Lei, Yuli Sun, Gangyao Kuang
To address this challenge, we explore an unsupervised change detection method based on adaptive local structure consistency (ALSC) between heterogeneous images in this letter, which constructs an adaptive graph representing the local structure for each patch in one image domain and then projects this graph to the other image domain to measure the change level.
no code implementations • 9 Jan 2014 • Yuli Sun, Jinxu Tao
As the L1-norm TV regularization is tending to uniformly penalize the image gradient and the low-contrast structures are sometimes over smoothed, we proposed a new algorithm based on the L0-norm of the GMI to deal with the few views problem.
no code implementations • 16 Sep 2013 • Yuli Sun, Jinxu Tao, Conggui Liu
And the algorithm introduces scaling factors to control the two processes, respectively.