3D Visual Grounding (3DVG) and 3D Dense Captioning (3DDC) are two crucial tasks in
various 3D applications, which require both shared and complementary information in …

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

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 …

Sensor fusion is crucial for an accurate and robust perception system on autonomous
vehicles. Most existing datasets and perception solutions focus on fusing cameras and …

The two popular datasets ScanRefer [20] and ReferIt3D [5] connect natural language to real-
world 3D scenes. In this paper, we curate a complementary dataset extending both the …

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 …

The perception of waterways based on human intent holds significant importance for
autonomous navigation and operations of Unmanned Surface Vehicles (USVs) in water …

Referring 3D instance segmentation is a challenging task aimed at accurately segmenting a
target instance within a 3D scene based on a given referring expression. However, previous …

Abstract 3D visual language reasoning plays an important role in effective human-computer
interaction. The current approaches for 3D visual reasoning are task-specific, and lack pre …

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