collaborators

5 papers

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…

cs.CV2024

g3D-LF: Generalizable 3D-Language Feature Fields for Embodied Tasks

Zihan Wang, Gim Hee Lee

We introduce Generalizable 3D-Language Feature Fields (g3D-LF), a 3D representation model pre-trained on large-scale 3D-language dataset for embodied tasks. Our g3D-LF processes po…