The remarkable achievements of ChatGPT and Generative Pre-trained Transformer 4 (GPT-
4) have sparked a wave of interest and research in the field of large language models …

In this paper, we propose a simple yet universal network termed SeqTR for visual grounding
tasks, eg, phrase localization, referring expression comprehension (REC) and segmentation …

Visual grounding is a task to locate the target indicated by a natural language expression.
Existing methods extend the generic object detection framework to this problem. They base …

We consider the problem of localizing a spatio-temporal tube in a video corresponding to a
given text query. This is a challenging task that requires the joint and efficient modeling of …

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

Tracking by natural language specification aims to locate the referred target in a sequence
based on the natural language description. Existing algorithms solve this issue in two steps …

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 …

Visual grounding focuses on establishing fine-grained alignment between vision and natural
language, which has essential applications in multimodal reasoning systems. Existing …

Multimodal large language models (MLLMs) have demonstrated remarkable success in
vision and visual-language tasks within the natural image domain. Owing to the significant …

Visual Grounding (VG) aims at localizing target objects from an image based on given
expressions and has made significant progress with the development of detection and vision …