This monograph surveys vision-language pre-training (VLP) methods for multimodal
intelligence that have been developed in the last few years. We group these approaches …

This paper presents a detailed study of improving vision features and develops an improved
object detection model for vision language (VL) tasks. Compared to the most widely used …

Large-scale pre-training methods of learning cross-modal representations on image-text
pairs are becoming popular for vision-language tasks. While existing methods simply …

Image-text matching plays a critical role in bridging the vision and language, and great
progress has been made by exploiting the global alignment between image and sentence …

Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …

Text-Image Person Re-identification (TIReID) aims to retrieve the image corresponding to
the given text query from a pool of candidate images. Existing methods employ prior …

Enabling bi-directional retrieval of images and texts is important for understanding the
correspondence between vision and language. Existing methods leverage the attention …

In this paper, we study the problem of image-text matching. Inferring the latent semantic
alignment between objects or other salient stuff (eg snow, sky, lawn) and the corresponding …