Zobrazeno 1 - 10
of 517
pro vyhledávání: '"Huang Deng"'
Publikováno v:
Minerals, Vol 14, Iss 3, p 217 (2024)
The Makeng iron deposit in southwest Fujian is a significant iron polymetallic deposit containing various types of iron ore, including garnet magnetite, diopside magnetite, and quartz magnetite. The metallogenetic type of the deposit has been a subje
Externí odkaz:
https://doaj.org/article/3fce1ced827942129849e319516cf5b4
Publikováno v:
Di-san junyi daxue xuebao, Vol 44, Iss 4, Pp 346-355 (2022)
Objective To explore the role of ezrin in the formation of invadopodia in hepatocellular carcinoma (HCC) cells. Methods GEPIA database was used to analyze the expression correlation between ezrin and the invadopodia marker cortactin in HCC tissues at
Externí odkaz:
https://doaj.org/article/8fc91caefc444198bf2d3cdd83e9936a
Publikováno v:
Yankuang ceshi, Vol 40, Iss 5, Pp 650-658 (2021)
BACKGROUND Standard mode with interference correction or kinetic energy discrimination mode is commonly used for the determination of trace silver in geochemical samples by inductively coupled plasma-mass spectrometry (ICP-MS). Interference of both s
Externí odkaz:
https://doaj.org/article/bdacc053557349baa86f572bc0d1f892
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 5, Pp 467-472 (2019)
Objective To compare the perioperative and postoperative survival outcomes of laparoscopic hepatectomy (LH) and radiofrequency ablation (RFA) in the treatment of recurrent hepatocellular carcinoma (RHCC) in order to provide high-level evidence-based
Externí odkaz:
https://doaj.org/article/44c2459af9734bb5b4516da66b651cd6
Autor:
Yang, Haosen, Huang, Deng, Wen, Bin, Wu, Jiannan, Yao, Hongxun, Jiang, Yi, Zhu, Xiatian, Yuan, Zehuan
Masked autoencoders (MAEs) have emerged recently as art self-supervised spatiotemporal representation learners. Inheriting from the image counterparts, however, existing video MAEs still focus largely on static appearance learning whilst are limited
Externí odkaz:
http://arxiv.org/abs/2210.04154
Autor:
Yen, Yao-Te, Zhou, Song-Lin, Huang, Deng-Ying, Tseng, Shih-Hao, Wang, Chung-Feng, Chyueh, San-Chong
Publikováno v:
In Forensic Science International July 2024 360
Autor:
Huang, Deng, Wu, Wenhao, Hu, Weiwen, Liu, Xu, He, Dongliang, Wu, Zhihua, Wu, Xiangmiao, Tan, Mingkui, Ding, Errui
We study self-supervised video representation learning, which is a challenging task due to 1) lack of labels for explicit supervision; 2) unstructured and noisy visual information. Existing methods mainly use contrastive loss with video clips as the
Externí odkaz:
http://arxiv.org/abs/2106.02342
Autor:
Chen, Peihao, Huang, Deng, He, Dongliang, Long, Xiang, Zeng, Runhao, Wen, Shilei, Tan, Mingkui, Gan, Chuang
We study unsupervised video representation learning that seeks to learn both motion and appearance features from unlabeled video only, which can be reused for downstream tasks such as action recognition. This task, however, is extremely challenging d
Externí odkaz:
http://arxiv.org/abs/2011.07949
We addressed the challenging task of video question answering, which requires machines to answer questions about videos in a natural language form. Previous state-of-the-art methods attempt to apply spatio-temporal attention mechanism on video frame
Externí odkaz:
http://arxiv.org/abs/2008.09105
In this paper, we introduce Foley Music, a system that can synthesize plausible music for a silent video clip about people playing musical instruments. We first identify two key intermediate representations for a successful video to music generator:
Externí odkaz:
http://arxiv.org/abs/2007.10984