1 code implementation • NeurIPS 2021 • Jiabo He, Sarah Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
Bounding box (bbox) regression is a fundamental task in computer vision.
1 code implementation • NeurIPS 2021 • Jiabo He, Sarah Monazam Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
Bounding box (bbox) regression is a fundamental task in computer vision.
no code implementations • CVPR 2020 • Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua
On the technical side, the Partial-Residual GCN takes the position features of the branches, with the 3D spatial image features as conditions, to predict the label for each branches.
no code implementations • 4 Feb 2020 • Aung Aung Phyo Wai, Yangsong Zhang, Heng Guo, Ying Chi, Lei Zhang, Xian-Sheng Hua, Seong Whan Lee, Cuntai Guan
We observed that CSTA achieves the maximum mean accuracy of 97. 43$\pm$2. 26 % and 85. 71$\pm$13. 41 % with four-class and forty-class SSVEP data-sets respectively in sub-second response time in offline analysis.
no code implementations • WS 2019 • Qi Zhang, Chao Liu, Ying Chi, Xuansong Xie, Xian-Sheng Hua
This paper presents a novel transfer multi-task learning method for Bacteria Biotope rel+ner task at BioNLP-OST 2019.
2 code implementations • 19 Apr 2019 • Wenjia Wang, Junxuan Chen, Jie Zhao, Ying Chi, Xuansong Xie, Li Zhang, Xian-Sheng Hua
The proposed model is trained and evaluated on a few publicly available datasets and has achieved the state-of-the-art accuracy with a mean Dice coefficient index of 0. 947 $\pm$ 0. 044.