activity
20242026
collaborators

7 papers

cs.CV2026

EmbodiedSplat: Online Feed-Forward Semantic 3DGS for Open-Vocabulary 3D Scene Understanding

Seungjun Lee, Zihan Wang, Yunsong Wang +1

Understanding a 3D scene immediately with its exploration is essential for embodied tasks, where an agent must construct and comprehend the 3D scene in an online and nearly real-ti…

cs.CV2026

Segment Any Events with Language

Seungjun Lee, Gim Hee Lee

Scene understanding with free-form language has been widely explored within diverse modalities such as images, point clouds, and LiDAR. However, related studies on event sensors ar…

cs.CV2025

D3D-VLP: Dynamic 3D Vision-Language-Planning Model for Embodied Grounding and Navigation

Zihan Wang, Seungjun Lee, Guangzhao Dai +1

Embodied agents face a critical dilemma that end-to-end models lack interpretability and explicit 3D reasoning, while modular systems ignore cross-component interdependencies and s…

cs.CV2025

VPN: Visual Prompt Navigation

Shuo Feng, Zihan Wang, Yuchen Li +6

While natural language is commonly used to guide embodied agents, the inherent ambiguity and verbosity of language often hinder the effectiveness of language-guided navigation in c…

cs.CV2025

Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation

Zihan Wang, Seungjun Lee, Gim Hee Lee

Vision-and-Language Navigation (VLN) is a core task where embodied agents leverage their spatial mobility to navigate in 3D environments toward designated destinations based on nat…

cs.AI2025

NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Zihan Wang, Yaohui Zhu, Gim Hee Lee +1

Vision-and-Language Navigation (VLN) is an essential skill for embodied agents, allowing them to navigate in 3D environments following natural language instructions. High-performan…