1 citations · 3 across the 11 of their papers we have counts for
11 papers
Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding
Maria Mihaela Trusca, Liesbeth Allein
Interpretations of a single sentence can vary, particularly when its context is lost. This paper aims to simulate how readers perceive content with varying toxicity levels by gener…
Action-based image editing guided by human instructions
Maria Mihaela Trusca, Mingxiao Li, Marie-Francine Moens
Text-based image editing is typically approached as a static task that involves operations such as inserting, deleting, or modifying elements of an input image based on human instr…
DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images
Maria Mihaela Trusca, Tinne Tuytelaars, Marie-Francine Moens
Text-based semantic image editing assumes the manipulation of an image using a natural language instruction. Although recent works are capable of generating creative and qualitativ…
Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control
Maria Mihaela Trusca, Wolf Nuyts, Jonathan Thomm +4
Current diffusion models create photorealistic images given a text prompt as input but struggle to correctly bind attributes mentioned in the text to the right objects in the image…
Sequence-to-Sequence Spanish Pre-trained Language Models
Vladimir Araujo, Maria Mihaela Trusca, Rodrigo Tufiño +1
In recent years, significant advancements in pre-trained language models have driven the creation of numerous non-English language variants, with a particular emphasis on encoder-o…
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis
Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca
The increasing popularity of the Web has subsequently increased the abundance of reviews on products and services. Mining these reviews for expressed sentiment is beneficial for bo…