If robots are to work effectively alongside people, they must be able to interpret natural
language references to objects in their 3D environment. Understanding 3D referring …

If robots are to work effectively alongside people, they must be able to interpret natural
language references to objects in their 3D environment. Understanding 3D referring …

We introduce the task of localizing a flexible number of objects in real-world 3D scenes
using natural language descriptions. Existing 3D visual grounding tasks focus on localizing …

This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM)
designed for embodied interaction, exploring a universal 3D object understanding with 3D …

With the emergence of LLMs and their integration with other data modalities, multi-modal 3D
perception attracts more attention due to its connectivity to the physical world and makes …

Embodied perception is essential for intelligent vehicles and robots, enabling more natural
interaction and task execution. However, these advancements currently embrace vision …

3D scene understanding has gained significant attention due to its wide range of
applications. However, existing methods for 3D scene understanding are limited to specific …

Humans describe the physical world using natural language to refer to specific 3D locations
based on a vast range of properties: visual appearance, semantics, abstract associations, or …

Prior studies on 3D scene understanding have primarily developed specialized models for
specific tasks or required task-specific fine-tuning. In this study, we propose Grounded 3D …

Recent progress in 3D scene understanding has explored visual grounding (3DVG) to
localize a target object through a language description. However, existing methods only …