no code implementations • 27 Mar 2024 • Ilias Mitsouras, Eleftherios Tsonis, Paraskevi Tzouveli, Athanasios Voulodimos
Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic and high resolution images that faithfully adhere to the corresponding text-prompts.
no code implementations • 18 Nov 2023 • Eleftherios Tsonis, Paraskevi Tzouveli, Athanasios Voulodimos
Diffusion Models have demonstrated remarkable performance in image generation.
no code implementations • 2 Mar 2023 • Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
Recent studies indicate that deep learning plays a crucial role in the automated visual inspection of road infrastructures.
no code implementations • 5 Jul 2022 • Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components.
no code implementations • 5 Jul 2022 • Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
In Cultural Heritage, hyperspectral images are commonly used since they provide extended information regarding the optical properties of materials.
no code implementations • 11 Apr 2021 • Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis
We hereby propose the Rank-R Feedforward Neural Network (FNN), a tensor-based nonlinear learning model that imposes Canonical/Polyadic decomposition on its parameters, thereby offering two core advantages compared to typical machine learning methods.
no code implementations • 12 Aug 2020 • Iason Katsamenis, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
Corrosion detection on metal constructions is a major challenge in civil engineering for quick, safe and effective inspection.
no code implementations • 17 Apr 2020 • Konstantinos Makantasis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Bakalos, Nikolaos Doulamis
Recent advances in sensing technologies require the design and development of pattern recognition models capable of processing spatiotemporal data efficiently.
no code implementations • 6 Feb 2019 • Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
In this work we propose a method for reducing the dimensionality of tensor objects in a binary classification framework.
no code implementations • 15 Feb 2018 • Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis, Antonis Nikitakis, Athanasios Voulodimos
We also introduce a new learning algorithm to train the model, and we evaluate the \textit{Rank}-1 FNN on third-order hyperspectral data.