Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Guanyu Cai"'
Publikováno v:
Nanomaterials, Vol 13, Iss 15, p 2175 (2023)
Near-infrared (NIR) persistent luminescence (PersL) materials have demonstrated promising developments for applications in many advanced fields due to their unique optical properties. Both high-temperature solid-state (SS) or hydrothermal (HT) method
Externí odkaz:
https://doaj.org/article/e696d00d0a6d44f1b7c80efcc0845968
Autor:
Teresa Delgado, Daniel Rytz, Guanyu Cai, Mathieu Allix, Haytem Bazzaoui, Emmanuel Veron, Bruno Viana
Publikováno v:
Oxide-based Materials and Devices XIV.
Autor:
Luidgi Giordano, Guanyu Cai, Johanne Seguin, Jianhua Liu, Cyrille Richard, Lucas Carvalho Veloso Rodrigues, Bruno Viana
Publikováno v:
Oxide-based Materials and Devices XIV.
Publikováno v:
Optical Components and Materials XX.
Autor:
Teresa Delgado, Daniel Rytz, Guanyu Cai, Mathieu Allix, Emmanuel Veron, Ida di Carlo, Bruno Viana
Publikováno v:
Ceramics International.
Autor:
Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Fangzhou Lin, Xing Sun, Xiang Bai
Publikováno v:
IEEE Transactions on Image Processing. 31:6097-6108
Text-based person search aims at retrieving the target person in an image gallery using a descriptive sentence of that person. The core of this task is to calculate a similarity score between the pedestrian image and description, which requires infer
Publikováno v:
Materials; Volume 16; Issue 3; Pages: 1132
The property of persistent luminescence shows great potential for anti-counterfeiting technology and imaging by taking advantage of a background-free signal. Current anti-counterfeiting technologies face the challenge of low security and the inconven
Autor:
Luidgi Giordano, Guanyu Cai, Johanne Seguin, Jianhua Liu, Cyrille Richard, Lucas Carvalho Veloso Rodrigues, Bruno Viana
Publikováno v:
Advanced Optical Materials. :2201468
Publikováno v:
IEEE transactions on neural networks and learning systems.
Typical adversarial-training-based unsupervised domain adaptation methods are vulnerable when the source and target datasets are highly-complex or exhibit a large discrepancy between their data distributions. Recently, several Lipschitz-constraint-ba
Autor:
Xing Sun, Penghao Zhou, Guanyu Cai, Jian Wu, Pai Peng, Wenzhe Wang, Xiaowei Guo, Mengdan Zhang, Runnan Chen
Publikováno v:
IJCAI
Multi-modal cues presented in videos are usually beneficial for the challenging video-text retrieval task on internet-scale datasets. Recent video retrieval methods take advantage of multi-modal cues by aggregating them to holistic high-level semanti