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 …

People say," A picture is worth a thousand words". Then how can we get the rich information
out of the image? We argue that by using visual clues to bridge large pretrained vision …

Automatic image captioning is to conduct the cross-modal conversion from image visual
content to natural language text. Involving computer vision (CV) and natural language …

Emotion Recognition in Conversations (ERC) is essential for building empathetic human-
machine systems. Existing studies on ERC primarily focus on summarizing the context …

Although existing image caption models can produce promising results using recurrent
neural networks (RNNs), it is difficult to guarantee that an object we care about is contained …

In this paper, we present a regularization-based image paragraph generation method. We
propose a novel multimodal encoding generator (MEG) to generate effective multimodal …

The task of paragraph image captioning aims to generate a coherent paragraph describing
a given image. However, due to their limited ability to capture long-term dependency …

Visual paragraph generation aims to automatically describe a given image from different
perspectives and organize sentences in a coherent way. In this paper, we address three …

Topic modelling (TM) has shown significant progress in boosting the effectiveness of image
captioning in the last few years. Although important improvements have been shown in …

The task of text-to-image synthesis is to generate photographic images conditioned on given
textual descriptions. This challenging task has recently attracted considerable attention from …