Zobrazeno 1 - 10
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pro vyhledávání: '"WAN Fan"'
With increasing concerns over data privacy and model copyrights, especially in the context of collaborations between AI service providers and data owners, an innovative SG-ZSL paradigm is proposed in this work. SG-ZSL is designed to foster efficient
Externí odkaz:
http://arxiv.org/abs/2403.09363
Most of the existing works on arbitrary 3D NeRF style transfer required retraining on each single style condition. This work aims to achieve zero-shot controlled stylization in 3D scenes utilizing text or visual input as conditioning factors. We intr
Externí odkaz:
http://arxiv.org/abs/2402.01950
The goal of our work is to generate high-quality novel views from monocular videos of complex and dynamic scenes. Prior methods, such as DynamicNeRF, have shown impressive performance by leveraging time-varying dynamic radiation fields. However, thes
Externí odkaz:
http://arxiv.org/abs/2401.04861
Autor:
Miao, Xingyu, Bai, Yang, Duan, Haoran, Huang, Yawen, Wan, Fan, Xu, Xinxing, Long, Yang, Zheng, Yefeng
Self-supervised monocular depth estimation methods typically rely on the reprojection error to capture geometric relationships between successive frames in static environments. However, this assumption does not hold in dynamic objects in scenarios, l
Externí odkaz:
http://arxiv.org/abs/2308.07225
Autor:
Jinhai Tian, Xu Cao, Zongying Jiang, Jia Wang, Wan Fan, Shaoting Zhang, Sien Zhao, Jianmin Sun
Publikováno v:
Cancer Medicine, Vol 13, Iss 17, Pp n/a-n/a (2024)
Abstract Background Colorectal cancer (CRC) is a prevalent and lethal tumor, with metastasis being the leading cause of mortality. Previous research has indicated that the long non‐coding RNA (lncRNA) CCAT2 is involved in the regulation of various
Externí odkaz:
https://doaj.org/article/15da43fea7ba42d0a59cf089b58b309c
Autor:
Wan, Fan, Wen, Xiaobin, Zhao, Huaibao, Tang, Shanlong, Wang, Mengyu, Yi, Bao, Chen, Liang, Lu, Yang, Zhong, Ruqing, Zhang, Hongfu
Publikováno v:
In Journal of Functional Foods October 2024 121
Autor:
Gao, Rui, Wan, Fan, Organisciak, Daniel, Pu, Jiyao, Wang, Junyan, Duan, Haoran, Zhang, Peng, Hou, Xingsong, Long, Yang
Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i.e., training a classifier with zero real data. The key innovation is to involve a teacher model as the data
Externí odkaz:
http://arxiv.org/abs/2202.11319
Early Postnatal Neuroinflammation Produces Key Features of Diffuse Brain White Matter Injury in Rats
Autor:
John Waddell, Shuying Lin, Kathleen Carter, Tina Truong, May Hebert, Norma Ojeda, Lir-Wan Fan, Abhay Bhatt, Yi Pang
Publikováno v:
Brain Sciences, Vol 14, Iss 10, p 976 (2024)
Background: Perinatal infection is a major risk factor for diffuse white matter injury (dWMI), which remains the most common form of neurological disability among very preterm infants. The disease primarily targets oligodendrocytes (OL) lineage cells
Externí odkaz:
https://doaj.org/article/119f02491fb141ecbf7dcf77584dc6fa
Autor:
Wen, Xiaobin1 (AUTHOR) wenxiaobin001@126.com, Wan, Fan1 (AUTHOR), Zhong, Ruqing1 (AUTHOR) zhongruqing@caas.cn, Chen, Liang1 (AUTHOR) zhongruqing@caas.cn, Zhang, Hongfu1 (AUTHOR)
Publikováno v:
International Journal of Molecular Sciences. Jun2024, Vol. 25 Issue 11, p5590. 16p.
Publikováno v:
In Science of the Total Environment 1 December 2024 954