George Tang

I am currently on the Vision team at Tesla Autopilot. I was previously a Masters student at MIT CSAIL advised by Krishna Murthy Jatavallabhula and Antonio Torralba. I completed my undergraduate at MIT in 2023.

My work focuses on building structured world models for intelligent systems. In particular, I am interested in combining generative modeling, scene representations, and algorithms to efficiently reconstruct, process, and manipulate 3D environments.

Publications

Vector Quantized Feature Fields for Fast 3D Semantic Liftin

George Tang, Aditya Agarwal , Weiqiao Han , and 2 more authors

ICCV under review , 2025

arXiv Bib Code

@inproceedings{tang2024vector,
  title = {Vector Quantized Feature Fields for Fast 3D Semantic Liftin},
  author = {Tang, George and Agarwal, Aditya and Han, Weiqiao and Darrell, Trevor and Bai, Yutong},
  year = {2025},
  booktitle = {ICCV under review},
}

Segment Any Mesh

George Tang, William Zhao , Logan Ford , and 2 more authors

ICCV under review , 2025

arXiv Bib Code

@inproceedings{tang2024segment,
  title = {Segment Any Mesh},
  author = {Tang, George and Zhao, William and Ford, Logan and Benhaim, David and Zhang, Paul},
  year = {2025},
  booktitle = {ICCV under review},
}

Efficient 3D Instance Mapping and Localization with Neural Fields

George Tang, Krishna Murthy Jatavallabhula , and Antonio Torralba

ICRA , 2024

arXiv Bib

@inproceedings{tang2024efficient,
  title = {Efficient 3D Instance Mapping and Localization with Neural Fields},
  author = {Tang, George and Jatavallabhula, Krishna Murthy and Torralba, Antonio},
  year = {2024},
  booktitle = {ICRA},
}