Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …

In the past decade, deep neural networks have achieved significant progress in point cloud
learning. However, collecting large-scale precisely-annotated point clouds is extremely …

As large language models (LLMs) evolve, their integration with 3D spatial data (3D-LLMs)
has seen rapid progress, offering unprecedented capabilities for understanding and …

Text-guided 3D visual grounding (T-3DVG), which aims to locate a specific object that
semantically corresponds to a language query from a complicated 3D scene, has drawn …

3D visual grounding is crucial for robots, requiring integration of natural language and 3D
scene understanding. Traditional methods depending on supervised learning with 3D point …

Abstract 3D Visual Grounding (3DVG) is a prevalent multi-modal information fusion task
capable of accurately localizing target objects referenced in natural language descriptions …

Answering questions about the spatial properties of the environment poses challenges for
existing language and vision foundation models due to a lack of understanding of the 3D …

3D Visual Grounding (3D VG) is a fundamental task in embodied intelligence, which entails
robots interpreting natural language descriptions to locate objects within 3D environments …

Assessing the capabilities of large multimodal models (LMMs) often requires the creation of
ad-hoc evaluations. Currently, building new benchmarks requires tremendous amounts of …

As an emergent task bridging vision and language, Language-grounded Multimodal 3D
Scene Understanding (3D-LMSU) has attracted significant interest across various domains …