Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Shanmin, Yang"'
Publikováno v:
IET Computer Vision, Vol 18, Iss 7, Pp 968-981 (2024)
Abstract Human actions are predominantly presented in 2D format in video surveillance scenarios, which hinders the accurate determination of action details not apparent in 2D data. Depth estimation can aid human action recognition tasks, enhancing ac
Externí odkaz:
https://doaj.org/article/321068b827f64ce5ad6abb9722650ae0
Publikováno v:
IET Image Processing, Vol 18, Iss 4, Pp 972-980 (2024)
Abstract Visible‐infrared person re‐identification (VI‐ReID) aims to recognize images of the same person captured in different modalities. Existing methods mainly focus on learning single‐granularity representations, which have limited discri
Externí odkaz:
https://doaj.org/article/475d986801fe48bab6b6cbe22ccfb9b7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19998-20011 (2024)
Extreme precipitation events greatly threaten people's daily lives and safety, making accurate and timely precipitation estimation especially critical. However, common methods like radar and satellite remote sensing have limitations due to coverage a
Externí odkaz:
https://doaj.org/article/21e90a66228a49fbb075e6143ec43c9b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13108-13119 (2024)
Near-surface air temperature is a crucial weather parameter that significantly impacts human health and is widely utilized in numerical weather forecasting and climate prediction studies. However, the most common ground-based meteorological station o
Externí odkaz:
https://doaj.org/article/bf66ecfe715942a59538c44c2576f004
Publikováno v:
IET Image Processing, Vol 17, Iss 11, Pp 3358-3370 (2023)
Abstract Skeleton‐based neural networks have been considered a focus for human action recognition (HAR). It is noteworthy that the existing skeleton‐based methods are not capable of combining the spatial and temporal features reasonably to derive
Externí odkaz:
https://doaj.org/article/277df68a88a14d26abd1165118a7ac92
Publikováno v:
IEEE Access, Vol 8, Pp 209790-209801 (2020)
Heterogeneous face recognition (HFR), referring to matching face images across different domains, is a challenging problem due to the vast cross-domain discrepancy and insufficient pairwise cross-domain training data. This article proposes a quadrupl
Externí odkaz:
https://doaj.org/article/e8e6ef11964e499281c165bb8020b8b3
Publikováno v:
Entropy, Vol 24, Iss 11, p 1646 (2022)
Data representation has been one of the core topics in 3D graphics and pattern recognition in high-dimensional data. Although the high-resolution geometrical information of a physical object can be well preserved in the form of metrical data, e.g., p
Externí odkaz:
https://doaj.org/article/2dfe6be398f14bc7af6998cc98b3957e
Publikováno v:
Neurocomputing. 460:154-165
Cross-pose face recognition has been a challenging task due to the diversity and arbitrariness of the head pose. Current methods addressing this task can be divided into two categories. One is learning pose-robust face representation, and another is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6fecc87c3e2ff23357067bae3de0148
https://doi.org/10.1016/j.neucom.2021.07.006
https://doi.org/10.1016/j.neucom.2021.07.006
Autor:
Kaining Guo, Chun Chen, Jinran Chen, Gelian Luo, Lurong Zhang, Mei Zhang, Zhangjie Chen, Jinsheng Hong, Shanmin Yang
Publikováno v:
Biochemical and Biophysical Research Communications. 527:283-288
Lysyl oxidase (LOX) is involved in fibrosis by catalyzing collagen cross-linking. Previous work observed that Triptolide (TPL) alleviated radiation-induced pulmonary fibrosis (RIPF), but it is unknown whether the anti-RIPF effect of TPL is related to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d587a2375cd041bda177f45aa1946e2
https://doi.org/10.1016/j.bbrc.2020.04.023
https://doi.org/10.1016/j.bbrc.2020.04.023
Publikováno v:
IEEE Access, Vol 8, Pp 209790-209801 (2020)
Heterogeneous face recognition (HFR), referring to matching face images across different domains, is a challenging problem due to the vast cross-domain discrepancy and insufficient pairwise cross-domain training data. This article proposes a quadrupl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62cbe43cd633381d9e5846660b058e48
https://ieeexplore.ieee.org/document/9262951/
https://ieeexplore.ieee.org/document/9262951/