no code implementations • 27 Mar 2024 • Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras
Convolutional Neural Networks (CNNs) have demonstrated their effectiveness in numerous vision tasks.
no code implementations • 6 Dec 2023 • Petros Toupas, Georgios Tsamis, Dimitrios Giakoumis, Konstantinos Votis, Dimitrios Tzovaras
These robots heavily rely on Human Action Recognition (HAR) to interpret human actions and intentions.
no code implementations • 31 May 2023 • Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
A variety of 3D CNN models were evaluated using the proposed toolflow on multiple FPGA devices, demonstrating its potential to deliver competitive performance compared to earlier hand-tuned and model-specific designs.
no code implementations • 29 May 2023 • Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
3D Convolutional Neural Networks are gaining increasing attention from researchers and practitioners and have found applications in many domains, such as surveillance systems, autonomous vehicles, human monitoring systems, and video retrieval.
2 code implementations • 30 Mar 2023 • Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras
For Human Action Recognition tasks (HAR), 3D Convolutional Neural Networks have proven to be highly effective, achieving state-of-the-art results.
no code implementations • 15 Sep 2022 • Luca Cuccovillo, Christoforos Papastergiopoulos, Anastasios Vafeiadis, Artem Yaroshchuk, Patrick Aichroth, Konstantinos Votis, Dimitrios Tzovaras
In this paper the current status and open challenges of synthetic speech detection are addressed.
no code implementations • 25 Feb 2020 • Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras
In particular, we propose an architecture based on 3D Convolutional Neural Networks (3DCNN) in order to model the geometric variations in manufacturing parameters and predict upcoming events related to sub-optimal performance.
no code implementations • 25 Feb 2020 • Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras
A common source of defects in manufacturing miniature Printed Circuits Boards (PCB) is the attachment of silicon die or other wire bondable components on a Liquid Crystal Polymer (LCP) substrate.
no code implementations • 24 Oct 2018 • Erinc Merdivan, Anastasios Vafeiadis, Dimitrios Kalatzis, Sten Hanke, Johannes Kropf, Konstantinos Votis, Dimitrios Giakoumis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui, Matthieu Geist
We propose a new approach to natural language understanding in which we consider the input text as an image and apply 2D Convolutional Neural Networks to learn the local and global semantics of the sentences from the variations ofthe visual patterns of words.