Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Xinpeng Ding"'
Publikováno v:
IEEE Transactions on Medical Imaging. 42:1446-1461
Left-ventricular ejection fraction (LVEF) is an important indicator of heart failure. Existing methods for LVEF estimation from video require large amounts of annotated data to achieve high performance, e.g. using 10,030 labeled echocardiogram videos
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. :1-12
Autor:
Xinpeng Ding, Nannan Wang, Shiwei Zhang, Ziyuan Huang, Xiaomeng Li, Mingqian Tang, Tongliang Liu, Xinbo Gao
Publikováno v:
IEEE Transactions on Image Processing. 31:4693-4706
The understanding of language plays a key role in video grounding, where a target moment is localized according to a text query. From a biological point of view, language is naturally hierarchical, with the main clause (predicate phrase) providing co
Publikováno v:
IEEE Transactions on Image Processing. 30:2016-2028
Facial expression recognition is of significant importance in criminal investigation and digital entertainment. Under unconstrained conditions, existing expression datasets are highly class-imbalanced, and the similarity between expressions is high.
Autor:
Xinpeng Ding, Xiaomeng Li
Publikováno v:
IEEE transactions on medical imaging. 41(11)
Automatic surgical phase recognition plays a vital role in robot-assisted surgeries. Existing methods ignored a pivotal problem that surgical phases should be classified by learning segment-level semantics instead of solely relying on frame-wise info
Publikováno v:
IEEE Transactions on Image Processing. 29:6789-6799
In capsule networks (CapsNets), the capsule is made up of collections of neurons. Their adjacent capsule layers are connected using routing-by-agreement mechanisms in an unsupervised way. The routing-by-agreement mechanisms have two main drawbacks: a
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cb296afa3f2475e3d3f5affce435552
https://doi.org/10.1007/978-3-031-16449-1_35
https://doi.org/10.1007/978-3-031-16449-1_35
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197895
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfd11351479a569487927da17b1e2ff4
https://doi.org/10.1007/978-3-031-19790-1_42
https://doi.org/10.1007/978-3-031-19790-1_42
Surgical phase recognition is a fundamental task in computer-assisted surgery systems. Most existing works are under the supervision of expensive and time-consuming full annotations, which require the surgeons to repeat watching videos to find the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef64b27aadda13e1973b78c995f5cecb