1 code implementation • 29 Apr 2024 • Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
Overall, we hope this survey provides the research community with a comprehensive overview of the advancements in MTL from its inception in 1997 to the present in 2023.
no code implementations • 13 Feb 2024 • Zhaoming Kong, Xiaowei Yang
In this paper, we propose a simple and effective one step GCP-based image denoising (GCP-ID) method, which aims to exploit the GCP for denoising in the sRGB space by integrating it into the classic nonlocal transform domain denoising framework.
1 code implementation • 18 Apr 2023 • Zhaoming Kong, Fangxi Deng, Haomin Zhuang, Jun Yu, Lifang He, Xiaowei Yang
In this paper, to investigate the applicability of existing denoising techniques, we compare a variety of denoising methods on both synthetic and real-world datasets for different applications.
1 code implementation • 23 Sep 2022 • Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He
The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) associated with brain changes remains a challenging task.
no code implementations • 21 Nov 2021 • Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex Leow, Lifang He
This paper presents a novel graph-based kernel learning approach for connectome analysis.
1 code implementation • 31 Jul 2021 • Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He
In this paper, we propose MGNet, a simple and effective multiplex graph convolutional network (GCN) model for multimodal brain network analysis.
no code implementations • 6 Nov 2020 • Zhaoming Kong, Xiaowei Yang, Lifang He
Leveraging the nonlocal self-similarity (NLSS) characteristic of images and sparse representation in the transform domain, the block-matching and 3D filtering (BM3D) based methods show powerful denoising performance.
no code implementations • 11 Feb 2019 • Zhaoming Kong, Xiaowei Yang
In this paper, we mainly investigate the influence and potential of representation at patch level by considering a general formulation with block diagonal matrix.
1 code implementation • 10 Sep 2018 • Zhaoming Kong, Xiaowei Yang
Filtering real-world color images is challenging due to the complexity of noise that can not be formulated as a certain distribution.