Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Yu-gang Jiang"'
Autor:
Yu-Gang Jiang, Mu-Yuan Ma, Jia-Jun Wu, Rong Ma, Xue-Hong Bai, Ren Zhao, Jin-Xi He, Yan-Yang Wang
Publikováno v:
World Journal of Surgical Oncology, Vol 21, Iss 1, Pp 1-8 (2023)
Abstract Purpose Thymoma is the most common primary tumor in the anterior mediastinum. The prognostic factors of patients with thymoma still need to be clarified. In this study, we aimed to investigate the prognostic factors of patients with thymoma
Externí odkaz:
https://doaj.org/article/50aac4a3edf949e396f401b58afd719b
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e111343 (2014)
Both podocalyxin (PODX) and β-catenin (β-cat) signaling reportedly play important roles in glioblastoma multiforme (GBM) progression. In this study, we for the first time explored crosstalk between PODX and β-cat signaling in GBM cells, and assess
Externí odkaz:
https://doaj.org/article/534cd05287c84c589b7cc768d1746549
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Feb2024, Vol. 20 Issue 2, p1-18, 18p
Publikováno v:
IEEE Transactions on Multimedia. :1-11
Given a text description, Temporal Language Grounding (TLG) aims to localize temporal boundaries of the segments that contain the specified semantics in an untrimmed video. TLG is inherently a challenging task, as it requires comprehensive understand
Publikováno v:
IEEE Transactions on Image Processing. 31:7078-7090
The vanilla Few-shot Learning (FSL) learns to build a classifier for a new concept from one or very few target examples, with the general assumption that source and target classes are sampled from the same domain. Recently, the task of Cross-Domain F
Publikováno v:
IEEE Transactions on Multimedia. 24:313-322
Video recognition aims at understanding semantic contents that normally involve the interactions of humans and related objects under certain scenes. A common practice to improve recognition accuracy is to combine object, scene and action features for
Publikováno v:
IEEE Transactions on Multimedia. :1-10
Publikováno v:
Pattern Recognition. 142:109668
Autor:
Yu-Gang Jiang, Wei Liu, Yinda Zhang, Yanwei Fu, Hang Yu, Zhuwen Li, Xiangyang Xue, Nanyang Wang
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:3600-3613
In this paper, we propose an end-to-end deep learning architecture that generates 3D triangular meshes from single color images. Restricted by the nature of prevalent deep learning techniques, the majority of previous works represent 3D shapes in vol
Publikováno v:
International Journal of Computer Vision. 129:2965-2977
Deep neural networks have demonstrated remarkable recognition results on video classification, however great improvements in accuracies come at the expense of large amounts of computational resources. In this paper, we introduce LiteEval for resource