no code implementations • 26 Sep 2021 • Aram Ter-Sarkisov, Eduardo Alonso
In this paper we introduce Local Logo Generative Adversarial Network (LL-GAN) that uses regional features extracted from Faster R-CNN for logo generation.
1 code implementation • 19 Feb 2021 • Aram Ter-Sarkisov
We present a model that fuses instance segmentation, Long Short-Term Memory Network and Attention mechanism to predict COVID-19 and segment chest CT scans.
1 code implementation • 4 Jan 2021 • Aram Ter-Sarkisov
The novelty of the methodology is based on the computation of the affinity between the lesion masks’ features extracted from the image.
1 code implementation • 2 Dec 2020 • Aram Ter-Sarkisov
We introduce a lightweight model based on Mask R-CNN with ResNet18 and ResNet34 backbone models that segments lesions and predicts COVID-19 from chest CT scans in a single shot.
1 code implementation • 4 Nov 2020 • Aram Ter-Sarkisov
We introduce a lightweight Mask R-CNN model that segments areas with the Ground Glass Opacity and Consolidation in chest CT scans.
1 code implementation • 26 Oct 2020 • Aram Ter-Sarkisov
These lesion areas are often associated both with common pneumonia and COVID-19.
1 code implementation • 14 Oct 2020 • Aram Ter-Sarkisov
We present COVID-CT-Mask-Net model that predicts COVID-19 from CT scans.
no code implementations • 10 Jan 2020 • Aram Ter-Sarkisov
We establish the contribution of different layers and loss coefficients to the learning of style, minimization of artefacts and maintenance of readability of corporate logos.
no code implementations • 5 Jul 2018 • Aram Ter-Sarkisov, Robert Ross, John Kelleher, Bernadette Earley, Michael Keane
We present an instance segmentation algorithm trained and applied to a CCTV recording of beef cattle during a winter finishing period.
no code implementations • 30 Mar 2017 • Aram Ter-Sarkisov, Robert Ross, John Kelleher
This paper introduces a new approach to the long-term tracking of an object in a challenging environment.
no code implementations • 22 Apr 2016 • Aram Ter-Sarkisov, Stephen Marsland
There has been a variety of crossover operators proposed for Real-Coded Genetic Algorithms (RCGAs), which recombine values from the same location in pairs of strings.
no code implementations • WS 2015 • Aram Ter-Sarkisov, Holger Schwenk, Loic Barrault, Fethi Bougares
We present efficient techniques to adapt a neural network language model to new data.
no code implementations • 11 Apr 2012 • Aram Ter-Sarkisov, Stephen Marsland
In this article a tool for the analysis of population-based EAs is used to derive asymptotic upper bounds on the optimization time of the algorithm solving Royal Roads problem, a test function with plateaus of fitness.