Search Results for author: Yao Sui

Found 6 papers, 0 papers with code

3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation

no code implementations28 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.

Brain Tumor Segmentation Segmentation +1

In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking

no code implementations17 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.

Visual Tracking

Vision-based Real-Time Aerial Object Localization and Tracking for UAV Sensing System

no code implementations19 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.

Object object-detection +2

Tracking Completion

no code implementations29 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.

Matrix Completion

Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning

no code implementations29 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.

Real-Time Visual Tracking

Discriminative Low-Rank Tracking

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.

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