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 …

Deep Learning and its applications have cascaded impactful research and development
with a diverse range of modalities present in the real-world data. More recently, this has …

Recently, chest X-ray report generation, which aims to automatically generate descriptions
of given chest X-ray images, has received growing research interests. The key challenge of …

Existing methods on video captioning have made great efforts to identify objects/instances in
videos, but few of them emphasize the prediction of action. As a result, the learned models …

Rumors spread through the Internet, especially on Twitter, have harmed social stability and
residents' daily lives. Recently, in addition to utilizing the text features of posts for rumor …

Modern image captioning models are usually trained with text similarity objectives. However,
since reference captions in public datasets often describe the most salient common objects …

We propose a sign language translation system based on human keypoint estimation. It is
well-known that many problems in the field of computer vision require a massive dataset to …

Large-scale pre-trained models such as CodeBERT, GraphCodeBERT have earned
widespread attention from both academia and industry. Attributed to the superior ability in …

One property that remains lacking in image captions generated by contemporary methods is
discriminability: being able to tell two images apart given the caption for one of them. We …

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 …