2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Women Wearing Lipstick: Measuring the Bias Between an Object and Its Related Gender
Ahmed Sabir, Lluís Padró
In this paper, we investigate the impact of objects on gender bias in image captioning systems. Our results show that only gender-specific objects have a strong gender bias (e.g.,…
Visual Semantic Relatedness Dataset for Image Captioning
Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró
Modern image captioning system relies heavily on extracting knowledge from images to capture the concept of a static story. In this paper, we propose a textual visual context datas…
Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned
Ahmed Sabir
This paper focuses on enhancing the captions generated by image-caption generation systems. We propose an approach for improving caption generation systems by choosing the most clo…
Semantic Relatedness Based Re-ranker for Text Spotting
Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró
Applications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction…