Jerry Lingjie Mei 梅灵捷

Email lm5483_at_princeton_dot_edu

I am an PhD student at Princeton, majoring in Computer Science. I am currently doing research with Professor Jia Deng I did my B.Sc. and M. Eng. at MIT, working with Professors Joshua Tenenbaum and Jiajun Wu. Here is my CV.

Research Interest

My research objective is to build models that can learn and reason about the physical world by integrating language, motion, and commonsense knowledge. In particular, I am interested in the domain of concept learning, visually grounded language learning and scene understanding. My grand vision is to build a machine that continually learns new knowledge and applies the knowledge in the reasoning and action in the physical world, like what humans do.

Publications ( show selected / show all by date / show all by topic )

Topics: Vision & Graphics. Scene Understanding. Concept Learning (* indicates equal contribution)

Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation
Alexander Raistrick*, Lingjie Mei* , Karhan Kaan Kayan*, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng

CVPR 2024

Infinite Photorealistic Worlds using Procedural Generation
Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang,Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, Jia Deng

CVPR 2023 Paper.

Violations of physical and psychological expectations in the human adult brain
Shari Liu, Kirsten Lydic, Lingjie Mei, Rebecca Saxe

CogSci 2023. Imaging Neuroscience 2024. Paper.

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum,

ICLR 2022. Paper. Project.

The fine structure of surprise in intuitive physics: when, why, and how much?
Kevin Smith*, Lingjie Mei*, Shunyu Yao*, Jiajun Wu, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer Ullman

CogSci 2020. Paper. Project.

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
Kevin Smith*, Lingjie Mei*, Shunyu Yao*, Jiajun Wu, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer Ullman

NeurIPS 2019. Paper. Project. Video. MIT News