Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Shi, Qinfeng"'
Autor:
Sun, Xian, Xiao, Peng, Shi, Qinfeng, Wang, Lingban, Xu, Zhenbin, Bu, Yuhao, Wang, Xiaohui, Sun, Yifei, Sun, Changyu, Chen, Guangjin
Publikováno v:
In Chinese Journal of Chemical Engineering March 2024 67:206-219
Autor:
Abedin, Alireza, Motlagh, Farbod, Shi, Qinfeng, Rezatofighi, Seyed Hamid, Ranasinghe, Damith Chinthana
Our ability to exploit low-cost wearable sensing modalities for critical human behaviour and activity monitoring applications in health and wellness is reliant on supervised learning regimes; here, deep learning paradigms have proven extremely succes
Externí odkaz:
http://arxiv.org/abs/2008.01659
Wearables are fundamental to improving our understanding of human activities, especially for an increasing number of healthcare applications from rehabilitation to fine-grained gait analysis. Although our collective know-how to solve Human Activity R
Externí odkaz:
http://arxiv.org/abs/2007.07172
Autor:
Yan, Qingsen, Wang, Bo, Gong, Dong, Luo, Chuan, Zhao, Wei, Shen, Jianhu, Shi, Qinfeng, Jin, Shuo, Zhang, Liang, You, Zheng
A novel coronavirus disease 2019 (COVID-19) was detected and has spread rapidly across various countries around the world since the end of the year 2019, Computed Tomography (CT) images have been used as a crucial alternative to the time-consuming RT
Externí odkaz:
http://arxiv.org/abs/2004.10987
Autor:
Rezatofighi, Hamid, Zhu, Tianyu, Kaskman, Roman, Motlagh, Farbod T., Shi, Qinfeng, Milan, Anton, Cremers, Daniel, Leal-Taixé, Laura, Reid, Ian
This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation and the size of a set is not fixed in advance. Many real-world problems, such as image tag
Externí odkaz:
http://arxiv.org/abs/2001.11845
Most learning-based super-resolution (SR) methods aim to recover high-resolution (HR) image from a given low-resolution (LR) image via learning on LR-HR image pairs. The SR methods learned on synthetic data do not perform well in real-world, due to t
Externí odkaz:
http://arxiv.org/abs/2001.02381
Charge prediction, determining charges for criminal cases by analyzing the textual fact descriptions, is a promising technology in legal assistant systems. In practice, the fact descriptions could exhibit a significant intra-class variation due to fa
Externí odkaz:
http://arxiv.org/abs/1911.05202
In recent years, deep learning based methods have made significant progress in rain-removing. However, the existing methods usually do not have good generalization ability, which leads to the fact that almost all of existing methods have a satisfied
Externí odkaz:
http://arxiv.org/abs/1910.03839
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
Publikováno v:
International Conference on Neural Information Processing,2019,pp. 353-366. Springer
The installed amount of renewable energy has expanded massively in recent years. Wave energy, with its high capacity factors has great potential to complement established sources of solar and wind energy. This study explores the problem of optimising
Externí odkaz:
http://arxiv.org/abs/1907.03076
Rain removal in images/videos is still an important task in computer vision field and attracting attentions of more and more people. Traditional methods always utilize some incomplete priors or filters (e.g. guided filter) to remove rain effect. Deep
Externí odkaz:
http://arxiv.org/abs/1906.09433