Generating an image/video caption has always been a fundamental problem of Artificial
Intelligence, which is usually performed using the potential of Deep Learning Methods …

Text-driven 3D stylization is a complex and crucial task in the fields of computer vision (CV)
and computer graphics (CG), aimed at transforming a bare mesh to fit a target text. Prior …

Abstract Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that
combines computer vision and natural language processing. Traditional Referring Image …

In recent years, there has been significant research focusing on addressing security
concerns in single-modal person re-identification (ReID) systems that are based on RGB …

We delve into the nascent field of underwater image captioning from three perspectives:
challenges, models, and datasets. One challenge arises from the disparities between …

3D Referring Expression Segmentation (3D-RES) is dedicated to segmenting a specific
instance within a 3D space based on a natural language description. However, current …

Existing vision-language pre-training models typically extract region features and conduct
fine-grained local alignment based on masked image/text completion or object detection …

Despite the great success, most models in image captioning (IC) are still stuck in the
dilemma of generating simple and non-discriminative captions. In this paper, we study this …

Image captioning creates informative text from an input image by creating a relationship
between the words and the actual content of an image. Recently, deep learning models that …

Fine-grained image captioning is a focal point in the vision-to-language task and has
attracted considerable attention for generating accurate and contextually relevant image …