Zobrazeno 1 - 10
of 81
pro vyhledávání: '"P, Papastratis"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract In recent years, major advances in artificial intelligence (AI) have led to the development of powerful AI systems for use in the field of nutrition in order to enhance personalized dietary recommendations and improve overall health and well
Externí odkaz:
https://doaj.org/article/1117b3c6e5654a25b8c37d231f7be28a
Vision Transformers are very popular nowadays due to their state-of-the-art performance in several computer vision tasks, such as image classification and action recognition. Although their performance has been greatly enhanced through highly descrip
Externí odkaz:
http://arxiv.org/abs/2207.08569
Autor:
Papastratis, Ilias
This project focuses on the self-supervised training of convolutional neural networks (CNNs) and transformer networks for the task of image recognition. A simple siamese network with different backbones is used in order to maximize the similarity of
Externí odkaz:
http://arxiv.org/abs/2112.02297
Publikováno v:
Ceramics, Vol 6, Iss 4, Pp 2367-2385 (2023)
This study explores the potential benefits of incorporating Recycled Demolition Waste (RDF) as an additive in ceramic mass for the brick industry, with a focus on applications such as thermoblocks. The research underscores the significance of sustain
Externí odkaz:
https://doaj.org/article/522b32f334b940d8ad99e27814fe0869
Autor:
Adaloglou, Nikolas, Chatzis, Theocharis, Papastratis, Ilias, Stergioulas, Andreas, Papadopoulos, Georgios Th., Zacharopoulou, Vassia, Xydopoulos, George J., Atzakas, Klimnis, Papazachariou, Dimitris, Daras, Petros
In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted. By implementing the most recent deep neural network methods in this field, a thorough evaluation on multiple publicly av
Externí odkaz:
http://arxiv.org/abs/2007.12530
Publikováno v:
IEEE Access, Vol 11, Pp 123433-123444 (2023)
Vision Transformers are very popular nowadays due to their state-of-the-art performance in several computer vision tasks, such as image classification and action recognition. Although their performance has been greatly enhanced through highly descrip
Externí odkaz:
https://doaj.org/article/7be00d85229b4931bc0886271ab5ac48
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 8, Pp 91170-91180 (2020)
Continuous Sign Language Recognition (CSLR) refers to the challenging problem of recognizing sign language glosses and their temporal boundaries from weakly annotated video sequences. Previous methods focus mostly on visual feature extraction neglect
Externí odkaz:
https://doaj.org/article/670962fc1cf947efa1a47fd7b92d156d
Autor:
Ilias Papastratis, Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras
Publikováno v:
Sensors, Vol 21, Iss 17, p 5843 (2021)
AI technologies can play an important role in breaking down the communication barriers of deaf or hearing-impaired people with other communities, contributing significantly to their social inclusion. Recent advances in both sensing technologies and A
Externí odkaz:
https://doaj.org/article/b46f57eb881e4966a2013cc6d475147e