Transformer and its variants have become the preferred option for multimodal vision-
language paradigms. However, they struggle with tasks that demand high-dependency …

In this article, we introduce the task of visual grounding for remote sensing data (RSVG).
RSVG aims to localize the referred objects in remote sensing (RS) images with the guidance …

Although the impressive performance in visual grounding, the prevailing approaches usually
exploit the visual backbone in a passive way, ie, the visual backbone extracts features with …

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 …

In this work, we explore neat yet effective Transformer-based frameworks for visual
grounding. The previous methods generally address the core problem of visual grounding …

Abstract In recent years, Multimodal Named Entity Recognition (MNER) on social media has
attracted considerable attention. However, existing MNER studies only extract entity-type …

Referring Expression Comprehension (REC) is a fundamental task in the vision and
language domain, which aims to locate an image region according to a natural language …

Abstract Referring Expression Comprehension (REC) aims to localize the target objects
specified by free-form natural language descriptions in images. While state-of-the-art …

Single object tracking aims to locate the target object in a video sequence according to the
state specified by different modal references, including the initial bounding box (BBOX) …

Visual grounding in remote sensing (RSVG) images aims to detect specific objects
associated with referring expressions in remote sensing images. Existing methods typically …