Visually-situated language is ubiquitous—sources range from textbooks with diagrams to
web pages with images and tables, to mobile apps with buttons and forms. Perhaps due to …

The Metaverse allows the integration of physical and digital versions of users, processes,
and environments where entities communicate, transact, and socialize. With the shift …

Fine-tuning large vision-language models is a challenging task. Prompt tuning approaches
have been introduced to learn fixed textual or visual prompts while freezing the pre-trained …

Video object segmentation (VOS) plays an important role in video analysis and
understanding, which in turn facilitates a number of diverse applications, including video …

Deepfake technology, utilizing deep learning and computer vision, presents significant
security threats by generating highly realistic synthetic media, such as images and videos. In …

We propose the problem of conversational web navigation, where a digital agent controls a
web browser and follows user instructions to solve real-world tasks in a multi-turn dialogue …

Automatic question generation (AQG) is the task of generating a question from a given
passage and an answer. Most existing AQG methods aim at encoding the passage and the …

Web information extraction (WIE) is a fundamental problem in web document understanding,
with a significant impact on various applications. Visual information plays a crucial role in …

Dear Editor, Visual localization relies on local features and searches a pre-stored GPS-
tagged image database to retrieve the reference image with the highest similarity in feature …

Automatic product attribute value extraction refers to the task of identifying values of an
attribute from the product information. Product attributes are essential in improving online …