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 …

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 …

Generating an image from a given text description has two goals: visual realism and
semantic consistency. Although significant progress has been made in generating high …

Chinese image description generation tasks usually have some challenges, such as single-
feature extraction, lack of global information, and lack of detailed description of the image …

Significant progress has been made on visual captioning, largely relying on pre-trained
features and later fixed object detectors that serve as rich inputs to auto-regressive models …

Dataset bias in vision-language tasks is becoming one of the main problems which hinders
the progress of our community. Existing solutions lack a principled analysis about why …

Recently, the burgeoning demands for captioning-related applications have inspired great
endeavors in the remote sensing community. However, current benchmark datasets are …

We propose a novel model to address the task of Visual Dialog which exhibits complex
dialog structures. To obtain a reasonable answer based on the current question and the …

Image captioning is one of the most challenging tasks in AI because it requires an
understanding of both complex visuals and natural language. Because image captioning is …

Our goal in this work is to train an image captioning model that generates more dense and
informative captions. We introduce" relational captioning," a novel image captioning task …