Zobrazeno 1 - 10
of 19
pro vyhledávání: '"MOUSOULIOTIS PANAGIOTIS"'
Recently, the field of deep learning has received great attention by the scientific community and it is used to provide improved solutions to many computer vision problems. Convolutional neural networks (CNNs) have been successfully used to attack pr
Externí odkaz:
http://arxiv.org/abs/1902.03192
Transfer learning is one of the subjects undergoing intense study in the area of machine learning. In object recognition and object detection there are known experiments for the transferability of parameters, but not for neural networks which are sui
Externí odkaz:
http://arxiv.org/abs/1811.04863
Autor:
Leppänen, Topi, Lotvonen, Atro, Mousouliotis, Panagiotis, Multanen, Joonas, Keramidas, Georgios, Jääskeläinen, Pekka
Publikováno v:
In Microprocessors and Microsystems March 2023 97
Deep convolutional neural networks have dominated the pattern recognition scene by providing much more accurate solutions in computer vision problems such as object recognition and object detection. Most of these solutions come at a huge computationa
Externí odkaz:
http://arxiv.org/abs/1805.08695
Autor:
Mousouliotis, Panagiotis G., Panayiotou, Konstantinos L., Tsardoulias, Emmanouil G., Petrou, Loukas P., Symeonidis, Andreas L.
FPGAs are commonly used to accelerate domain-specific algorithmic implementations, as they can achieve impressive performance boosts, are reprogrammable and exhibit minimal power consumption. In this work, the SqueezeNet DCNN is accelerated using an
Externí odkaz:
http://arxiv.org/abs/1804.00512
Publikováno v:
In Microprocessors and Microsystems March 2020 73
Akademický článek
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Autor:
Petrellis Nikos, ZOGAS STAVROS, PANAGIOTIS CHRISTAKOS, MOUSOULIOTIS PANAGIOTIS, GEORGIOS KERAMIDAS, VOROS NIKOLAOS, ANTONOPOULOS CHRISTOS
Shape tracking is based on landmark detection and alignment. Open-source code and pre-trained models are available for an implementation that is based on an ensemble of regression trees. The C++ Deformable Shape Tracking (DEST) implementation of face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30130159bd0b94f5be259e9fc3d687bb
Autor:
Petrellis Nikos, Christakos Panagiotis, Zogas Stavros, Mousouliotis Panagiotis, Keramidas Georgios, Voros Nikolaos, Antonopoulos Christos
In the context of this paper, a shape tracking application based on landmark alignment is transformed to support implementation in Field Programmable Gate Arrays (FPGAs). Towards this direction, several challenges are posed since a) computational int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::8d5ae3a5376c928f97816024f27ec927
https://zenodo.org/record/6281334
https://zenodo.org/record/6281334
Autor:
Petrellis Nikos, Zogas Stavros, Christakos Panagiotis, Keramidas Georgios, Mousouliotis Panagiotis, Voros Nikolaos, Antonopoulos Christos
The 2D facial landmark alignment method, implemented in C++ in the open source libraries DLIB and Deformable Shape Tracking (DEST), is used in several applications such as driver drowsiness detection. The most challenging of these applications requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::5648847056fe60fe14ceefa7250fa129
https://zenodo.org/record/6280031
https://zenodo.org/record/6280031