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 …

Recent text-to-image matching models apply contrastive learning to large corpora of
uncurated pairs of images and sentences. While such models can provide a powerful score …

We review the existing literature on generating text from visual data under the cross-modal
generation umbrella, which affords us to compare and contrast various approaches taking …

Generative language models (LMs) such as GPT-2/3 can be prompted to generate text with
remarkable quality. While they are designed for text-prompted generation, it remains an …

Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …

Abstract Interest in Artificial Intelligence (AI) and its applications has seen unprecedented
growth in the last few years. This success can be partly attributed to the advancements made …

With the maturity of visual detection techniques, we are more ambitious in describing visual
content with open-vocabulary, fine-grained and free-form language, ie, the task of image …

Many recent datasets contain a variety of different data modalities, for instance, image,
question, and answer data in visual question answering (VQA). When training deep net …

Dialog is an effective way to exchange information, but subtle details and nuances are
extremely important. While significant progress has paved a path to address visual dialog …

Recent text-to-image matching models apply contrastive learning to large corpora of
uncurated pairs of images and sentences. While such models can provide a powerful score …