Zobrazeno 1 - 10
of 1 191
pro vyhledávání: '"Liu Jingfeng"'
Publikováno v:
Quantum Sci. Technol. 9,035019 (2024)
Cavity polaritons derived from the strong light-matter interaction at the quantum level provide a basis for efficient manipulation of quantum states via cavity field. Polaritons with narrow linewidth and long lifetime are appealing in applications su
Externí odkaz:
http://arxiv.org/abs/2308.04277
Current weakly supervised video anomaly detection algorithms mostly use multiple instance learning (MIL) or their varieties. Almost all recent approaches focus on how to select the correct snippets for training to improve the performance. They overlo
Externí odkaz:
http://arxiv.org/abs/2210.06688
We propose an automatic COVID1-19 diagnosis framework from lung CT-scan slice images using double BERT feature extraction. In the first BERT feature extraction, A 3D-CNN is first used to extract CNN internal feature maps. Instead of using the global
Externí odkaz:
http://arxiv.org/abs/2206.14861
Autor:
Tan, Weijun, Liu, Jingfeng
Detection of fights is an important surveillance application in videos. Most existing methods use supervised binary action recognition. Since frame-level annotations are very hard to get for anomaly detection, weakly supervised learning using multipl
Externí odkaz:
http://arxiv.org/abs/2205.11394
Publikováno v:
Optics Express Vol. 30, Issue 23, pp. 41784-41803 (2022)
An open quantum system operated at the spectral singularities where dimensionality reduces, known as exceptional points (EPs), demonstrates distinguishing behavior from the Hermitian counterpart. Here, we present an analytical description of local de
Externí odkaz:
http://arxiv.org/abs/2204.04931
Publikováno v:
2021 ICCV Workshops
We present the improved network architecture, data augmentation, and training strategies for the Webface track and Insightface/Glint360K track of the masked face recognition challenge of ICCV2021. One of the key goals is to have a balanced performanc
Externí odkaz:
http://arxiv.org/abs/2110.01521
Autor:
Guo, Liangxu, Hao, Xin, Chen, Lei, Qian, Yunsong, Wang, Chunying, Liu, Xiaolong, Fan, Xiaotang, Jiang, Guoqing, Zheng, Dan, Gao, Pujun, Bai, Honglian, Wang, Chuanxin, Yu, Yanlong, Dai, Wencong, Gao, Yanhang, Liang, Xieer, Liu, Jingfeng, Sun, Jian, Tian, Jie, Wang, Hongyang, Hou, Jinlin, Fan, Rong
Publikováno v:
In eClinicalMedicine August 2024 74
Autor:
Zhong, Yan ***, Zhu, Yisheng ***, Hu, Xiaohao ***, Zhang, Lin, Xu, Jiahuan, Wang, Qingwen, Liu, Jingfeng
Publikováno v:
In Cytotherapy August 2024 26(8):930-938
Autor:
Xu, Haipo, Lin, Gengping, Chen, Ronghua, Cai, Zhixiong, Sun, Yupeng, Zhang, Xiaolong, Zhao, Bixing, Zeng, Yongyi, Liu, Jingfeng, Liu, Xiaolong
Publikováno v:
In Analytica Chimica Acta 29 June 2024 1310
Autor:
Tan, Weijun, Liu, Jingfeng
Publikováno v:
2021 ICCV Workshops
We present an automatic COVID1-19 diagnosis framework from lung CT-scan slice images. In this framework, the slice images of a CT-scan volume are first proprocessed using segmentation techniques to filter out images of closed lung, and to remove the
Externí odkaz:
http://arxiv.org/abs/2106.14403