Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Zhu, Haogang"'
Efficient multi-party secure matrix multiplication is crucial for privacy-preserving machine learning, but existing mixed-protocol frameworks often face challenges in balancing security, efficiency, and accuracy. This paper presents an efficient, ver
Externí odkaz:
http://arxiv.org/abs/2411.03404
Autor:
Li, Lei, Zhu, Haogang, Zhang, Zhenyu, Zhao, Liang, Xu, Liang, Jonas, Rahul A, Garway-Heath, David F, Jonas, Jost B, Wang, Ya Xing
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 5, p e22664 (2021)
BackgroundDue to the axial elongation–associated changes in the optic nerve and retina in high myopia, traditional methods like optic disc evaluation and visual field are not able to correctly differentiate glaucomatous lesions. It has been clinica
Externí odkaz:
https://doaj.org/article/2461afc3aeb44b478a7d057cbfe7675d
Temporal action detection (TAD) aims to detect all action boundaries and their corresponding categories in an untrimmed video. The unclear boundaries of actions in videos often result in imprecise predictions of action boundaries by existing methods.
Externí odkaz:
http://arxiv.org/abs/2309.05590
As large scale construction projects become increasingly complex, the use and integration of advanced technologies are being emphasized more and more. However, the construction industry often lags behind most industries in the application of digital
Externí odkaz:
http://arxiv.org/abs/2308.12834
Autor:
Wang, Yan, Cheng, Jian, Chen, Yixin, Shao, Shuai, Zhu, Lanyun, Wu, Zhenzhou, Liu, Tao, Zhu, Haogang
Medical image segmentation methods normally perform poorly when there is a domain shift between training and testing data. Unsupervised Domain Adaptation (UDA) addresses the domain shift problem by training the model using both labeled data from the
Externí odkaz:
http://arxiv.org/abs/2304.13672
Autor:
Liu, Tao, Guo, Shu, Liu, Hao, Kang, Rui, Bai, Mingyang, Jiang, Jiyang, Wen, Wei, Pan, Xing, Tai, Jun, Li, Jianxin, Cheng, Jian, Jing, Jing, Wu, Zhenzhou, Niu, Haijun, Zhu, Haogang, Li, Zixiao, Wang, Yongjun, Brodaty, Henry, Sachdev, Perminder, Li, Daqing
Degeneration and adaptation are two competing sides of the same coin called resilience in the progressive processes of brain aging or diseases. Degeneration accumulates during brain aging and other cerebral activities, causing structural atrophy and
Externí odkaz:
http://arxiv.org/abs/2202.01516
Autor:
Liu, Xiaoli1 (AUTHOR), Zhu, Haogang2 (AUTHOR), Zhang, Hanji3 (AUTHOR), Xia, Shaoyan3 (AUTHOR) xiashaoyan@tmu.edu.cn
Publikováno v:
Sensors (14248220). Aug2024, Vol. 24 Issue 16, p5227. 18p.
Autor:
Adeleke, Mariam, Ambler, Gareth, Barton, Keith, Bourne, Rupert, Broadway, David, Bunce, Catey, Buszewicz, Marta, Crabb, David, Davis, Amanda, Garg, Anurag, Garway-Heath, David, Gazzard, Gus, Hornan, Daniel, Hunter, Rachael, Jayaram, Hari, Jiang, Yuzhen, Konstantakopoulou, Evgenia, Lim, Sheng, Liput, Joanna, Manners, Timothy, Montesano, Giovanni, Morris, Stephen, Nathwani, Neil, Ometto, Giovanni, Rubin, Gary, Strouthidis, Nicholas, Vickerstaff, Victoria, Wilson, Sarah, Wormald, Richard, Wright, David, Zhu, Haogang, Fahy, Eamonn T.
Publikováno v:
In Ophthalmology December 2024 131(12):1366-1376
Autor:
An, Shan, Che, Guangfu, Guo, Jinghao, Zhu, Haogang, Ye, Junjie, Zhou, Fangru, Zhu, Zhaoqi, Wei, Dong, Liu, Aishan, Zhang, Wei
Virtual try-on technology enables users to try various fashion items using augmented reality and provides a convenient online shopping experience. However, most previous works focus on the virtual try-on for clothes while neglecting that for shoes, w
Externí odkaz:
http://arxiv.org/abs/2108.10515
Estimating a scene's depth to achieve collision avoidance against moving pedestrians is a crucial and fundamental problem in the robotic field. This paper proposes a novel, low complexity network architecture for fast and accurate human depth estimat
Externí odkaz:
http://arxiv.org/abs/2108.10506