9 citations · 25 across the 44 of their papers we have counts for
7 papers · 1 filter
Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation
Anastasia Kritharoula, Maria Lymperaiou, Giorgos Stamou
Visual Word Sense Disambiguation (VWSD) is a novel challenging task with the goal of retrieving an image among a set of candidates, which better represents the meaning of an ambigu…
Language Models as Knowledge Bases for Visual Word Sense Disambiguation
Anastasia Kritharoula, Maria Lymperaiou, Giorgos Stamou
Visual Word Sense Disambiguation (VWSD) is a novel challenging task that lies between linguistic sense disambiguation and fine-grained multimodal retrieval. The recent advancements…
Knowledge-Based Counterfactual Queries for Visual Question Answering
Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou
Visual Question Answering (VQA) has been a popular task that combines vision and language, with numerous relevant implementations in literature. Even though there are some attempts…
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
Maria Lymperaiou, Giorgos Stamou
Recent advancements in visiolinguistic (VL) learning have allowed the development of multiple models and techniques that offer several impressive implementations, able to currently…
Fine-Grained ImageNet Classification in the Wild
Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou
Image classification has been one of the most popular tasks in Deep Learning, seeing an abundance of impressive implementations each year. However, there is a lot of criticism tied…
Counterfactual Edits for Generative Evaluation
Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas +1
Evaluation of generative models has been an underrepresented field despite the surge of generative architectures. Most recent models are evaluated upon rather obsolete metrics whic…
An Impartial Transformer for Story Visualization
Nikolaos Tsakas, Maria Lymperaiou, Giorgos Filandrianos +1
Story Visualization is an advanced task of computed vision that targets sequential image synthesis, where the generated samples need to be realistic, faithful to their conditioning…