Shengjie Lin — accepted AI-conference papers

2025

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting

Shengjie Lin, Jiading Fang, Muhammad Zubair Irshad, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Greg Shakhnarovich +1

ICCV 2025poster

Reconstructing articulated objects prevalent in daily environments is crucial for applications in augmented/virtual reality and robotics. However, existing methods face scalability limitations (requiring 3D supervision or costly annotations), robustness issues (being susceptible to local optima), an…

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2024

Statler: State-Maintaining Language Models for Embodied Reasoning

Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin +4

ICRA 2024poster

There has been a significant research interest in employing large language models to empower intelligent robots with complex reasoning. Existing work focuses on harnessing their abilities to reason about the histories of their actions and observations. In this paper, we explore a new dimension in wh…

Cited by 41 Source ↗code ↗Scholar ↗

2024

Transcrib3D: 3D Referring Expression Resolution through Large Language Models

Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei +3

IROS 2024poster

If robots are to work effectively alongside people, they must be able to interpret natural language references to objects in their 3D environment. Understanding 3D referring expressions is challenging—it requires the ability to both parse the 3D structure of the scene and correctly ground free-form…

Cited by 5 Source ↗code ↗Scholar ↗