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20182025
most citedTraining Neural Networks for Likelihood/Density Ratio Estimation

14 citations · 22 across the 10 of their papers we have counts for

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cs.CV2024

Box2Flow: Instance-based Action Flow Graphs from Videos

Jiatong Li, Kalliopi Basioti, Vladimir Pavlovic

A large amount of procedural videos on the web show how to complete various tasks. These tasks can often be accomplished in different ways and step orderings, with some steps able…

cs.CV2024

CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation

Kalliopi Basioti, Mohamed A. Abdelsalam, Federico Fancellu +2

Controllable Image Captioning (CIC) aims at generating natural language descriptions for an image, conditioned on information provided by end users, e.g., regions, entities or even…

cs.CV2022

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…

cs.CV2022★ 1 cited

SAViR-T: Spatially Attentive Visual Reasoning with Transformers

Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic

We present a novel computational model, "SAViR-T", for the family of visual reasoning problems embodied in the Raven's Progressive Matrices (RPM). Our model considers explicit spat…

cs.CV2020★ 1 cited

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…