Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Ioannis Pratikakis"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 6, p 125 (2024)
A fundamental task in computer vision is the process of differentiation and identification of different objects or entities in a visual scene using semantic segmentation methods. The advancement of transformer networks has surpassed traditional convo
Externí odkaz:
https://doaj.org/article/98b04aedcd244ab7993f1b486446d5f9
Improving Skeleton-Based Action Recognition Using Part-Aware Graphs in a Multi-Stream Fusion Context
Publikováno v:
IEEE Access, Vol 11, Pp 117308-117320 (2023)
Skeleton-based human action recognition with Graph Convolutional Networks is an active research field that has gained increased popularity over the last few years. A challenge in skeleton-based action recognition is the design of a model in a way tha
Externí odkaz:
https://doaj.org/article/8df8eca3d05a4d11834ce2bcaad162d0
Publikováno v:
Journal of Imaging, Vol 7, Iss 12, p 260 (2021)
Offline handwritten text recognition (HTR) for historical documents aims for effective transcription by addressing challenges that originate from the low quality of manuscripts under study as well as from several particularities which are related to
Externí odkaz:
https://doaj.org/article/35559659fdaa40bf98667819ed866962
Publikováno v:
Journal of Imaging, Vol 7, Iss 12, p 278 (2021)
Word spotting strategies employed in historical handwritten documents face many challenges due to variation in the writing style and intense degradation. In this paper, a new method that permits efficient and effective word spotting in handwritten do
Externí odkaz:
https://doaj.org/article/16508e04895648fd9da2feede8260acf
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8802 (2021)
Semantic image segmentation for autonomous driving is a challenging task due to its requirement for both effectiveness and efficiency. Recent developments in deep learning have demonstrated important performance boosting in terms of accuracy. In this
Externí odkaz:
https://doaj.org/article/bcaa70dc10894187a7264a98181c3934
Publikováno v:
Journal of Imaging, Vol 5, Iss 3, p 37 (2019)
Deep convolutional neural networks (CNNs) are investigated in the context of computer-aided diagnosis (CADx) of breast cancer. State-of-the-art CNNs are trained and evaluated on two mammographic datasets, consisting of ROIs depicting benign or malign
Externí odkaz:
https://doaj.org/article/057fad6108544f8d9c18a05caaa202c4
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:1574-1596
Autor:
Matej Vitek, Abhijit Das, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Jalil Nourmohammadi Khiarak, Mohsen Akbari Shahpar, Meysam Asgari-Chenaghlu, Farhang Jaryani, Juan E. Tapia, Andres Valenzuela, Caiyong Wang, Yunlong Wang, Zhaofeng He, Zhenan Sun, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Kiran Raja, Gourav Gupta, Georgios Zampoukis, Lazaros Tsochatzidis, Ioannis Pratikakis, S. V. Aruna Kumar, B. S. Harish, Umapada Pal, Peter Peer, Vitomir Struc
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:190-205
Bias and fairness of biometric algorithms have been key topics of research in recent years, mainly due to the societal, legal and ethical implications of potentially unfair decisions made by automated decision-making models. A considerable amount of
Autor:
Yang Gao, Honglin Yuan, Tao Ku, Remco C. Veltkamp, Georgios Zamanakos, Lazaros Tsochatzidis, Angelos Amanatiadis, Ioannis Pratikakis, Aliki Panou, Ioannis Romanelis, Vlassis Fotis, Gerasimos Arvanitis, Konstantinos Moustakas
Localization and navigation are the two most important tasks for mobile robots, which require an up-to-date and accurate map. However, to detect map changes from crowdsourced data is a challenging task, especially from billions of points collected by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::60f3fc8787d95974678283b034887921
https://zenodo.org/record/8167321
https://zenodo.org/record/8167321
Publikováno v:
Computers & Graphics. 106:277-287