14 citations · 19 across the 6 of their papers we have counts for
7 papers
Visual Semantic Parsing: From Images to Abstract Meaning Representation
Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu +4
The success of scene graphs for visual scene understanding has brought attention to the benefits of abstracting a visual input (e.g., image) into a structured representation, where…
Image De-Quantization Using Generative Models as Priors
Kalliopi Basioti, George V. Moustakides
Image quantization is used in several applications aiming in reducing the number of available colors in an image and therefore its size. De-quantization is the task of reversing th…
Image Restoration from Parametric Transformations using Generative Models
Kalliopi Basioti, George V. Moustakides
When images are statistically described by a generative model we can use this information to develop optimum techniques for various image restoration problems as inpainting, super-…
Training Neural Networks for Likelihood/Density Ratio Estimation
George V. Moustakides, Kalliopi Basioti
Various problems in Engineering and Statistics require the computation of the likelihood ratio function of two probability densities. In classical approaches the two densities are…
Optimizing Shallow Networks for Binary Classification
Kalliopi Basioti, George V. Moustakides
Data driven classification that relies on neural networks is based on optimization criteria that involve some form of distance between the output of the network and the desired lab…
Adaptive Blind Separation of Two Dependent Sources
George V. Moustakides, Feeby Salib, Kalliopi Basioti
We consider the problem of adaptive blind separation of two sources from their instantaneous mixtures. We focus on the case where the two sources are not necessarily independent. B…