no code implementations • 28 Apr 2023 • Rui Nian, Guoyao Zhang, Yao Sui, Yuqi Qian, Qiuying Li, Mingzhang Zhao, Jianhui Li, Ali Gholipour, Simon K. Warfield
By the nature of limited receptive fields, however, those architectures are subject to representing long-range spatial dependencies of the voxel intensities in MRI images.
no code implementations • 17 Apr 2022 • Yao Sui, Guanghui Wang, Li Zhang
The paper focuses on a classical tracking model, subspace learning, grounded on the fact that the targets in successive frames are considered to reside in a low-dimensional subspace or manifold due to the similarity in their appearances.
no code implementations • 19 Mar 2017 • Yuanwei Wu, Yao Sui, Guanghui Wang
The paper focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation.
no code implementations • 29 Aug 2016 • Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang
A fundamental component of modern trackers is an online learned tracking model, which is typically modeled either globally or locally.
no code implementations • 29 Aug 2016 • Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang
By exploiting the anisotropy of the filter response, three sparsity related loss functions are proposed to alleviate the overfitting issue of previous methods and improve the overall tracking performance.
no code implementations • ICCV 2015 • Yao Sui, Yafei Tang, Li Zhang
Good tracking performance is in general attributed to accurate representation over previously obtained targets or reliable discrimination between the target and the surrounding background.