Connecting Vision and Language plays an essential role in Generative Intelligence. For this
reason, large research efforts have been devoted to image captioning, ie describing images …

Current image captioning systems perform at a merely descriptive level, essentially
enumerating the objects in the scene and their relations. Humans, on the contrary, interpret …

This paper introduces and summarises the findings of a new shared task at the intersection
of Natural Language Processing and Computer Vision: the generation of image descriptions …

In our day-to-day life, synchronizing vision and language aspects plays a crucial role in
solving various real-time challenges. Image captioning is one of them, and it aims to …

We propose Visual News Captioner, an entity-aware model for the task of news image
captioning. We also introduce Visual News, a large-scale benchmark consisting of more …

We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …

Progress on the UN Sustainable Development Goals (SDGs) is hampered by a persistent
lack of data regarding key social, environmental, and economic indicators, particularly in …

Entity-aware image captioning aims to describe named entities and events related to the
image by utilizing the background knowledge in the associated article. This task remains …

The task of news article image captioning aims to generate descriptive and informative
captions for news article images. Unlike conventional image captions that simply describe …

Increasing demand in distance education, e-learning, web-based learning, and other digital
sectors (eg, entertainment) has led to excessive amounts of e-content. Learning objects …