7 papers
Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator
Zihan Wang, Seungjun Lee, Yinghao Xu +1
Embodied navigation aims to build agents that interpret multimodal goals, reason in 3D space, and reach target destinations reliably in the real world. However, progress remains co…
NoPA: Non-Parametric Online 3D Scene Graph Generation
Qi Xun Yeo, Seungjun Lee, Yan Li +1
Classic 3D scene graph generation approaches fail to work in real-time due to the heavy computational cost of environment mapping and the need to generate intermediate point-cloud…
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…
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…
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…
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…