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 …

Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …

Dense captioning generates more detailed spoken descriptions for complex visual scenes.
Despite several promising leads, existing methods still have two broad limitations: 1) The …

We propose a method to efficiently equip the Segment Anything Model (SAM) with the ability
to generate regional captions. SAM presents strong generalizability to segment anything …

Image captioning is the task of automatically generating sentences that describe an input
image in the best way possible. The most successful techniques for automatically generating …

Image captioning, also called report generation in medical field, aims to describe visual
content of images in human language, which requires to model semantic relationship …

Pre-training has emerged as an effective technique for learning powerful person
representations. Most existing methods have shown that pre-training on pure-vision large …

Dense captioning creates diverse Region of Interests (RoIs) descriptions for complex visual
scenes. While promising results have been obtained, several issues persist. In particular: 1) …

A significant number of recent scientific papers have raised awareness of changes in the
biological world of bees, problems with their extinction, and, as a consequence, their impact …

Abstract Both Visual Question Answering (VQA) and image captioning are the problems
which involve Computer Vision (CV) and Natural Language Processing (NLP) domains. In …