no code implementations • 6 Mar 2024 • Yucheng Wang, Ruibing Jin, Min Wu, XiaoLi Li, Lihua Xie, Zhenghua Chen
To capture these dependencies, Graph Neural Networks (GNNs) have emerged as powerful tools, yet their effectiveness is restricted by the quality of graph construction from MTS data.
no code implementations • 18 Aug 2023 • Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, XiaoLi Li, Zhenghua Chen
To address this issue, we propose an unlimited knowledge distillation (UKD) in this paper.
no code implementations • 20 Jan 2021 • Ruibing Jin, Guosheng Lin, Changyun Wen
Online proposal sampling is an intuitive solution to these issues.
no code implementations • 21 Sep 2020 • Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu
Optical flow, which expresses pixel displacement, is widely used in many computer vision tasks to provide pixel-level motion information.