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Jiajun Wu

Office: Gates Building, Room 252
Email: jiajunwu [at] cs (dot) stanford (dot) edu

Google Scholar / DBLP / Stanford Profiles

I am an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University. Before joining Stanford, I was a Visiting Faculty Researcher at Google Research, working with Noah Snavely. I finished my PhD at MIT, advised by Bill Freeman and Josh Tenenbaum, and my undergraduate degrees at Tsinghua University, working with Zhuowen Tu.

Research

My group studies physical scene understanding---building machines that see, reason about, and interact with the physical world. Besides learning algorithms, what are the levels of abstraction needed by AI systems in their representations, and where do they come from? Our research aims to answer these fundamental questions, drawing inspiration from nature, i.e., the physical world itself, and from human cognition. Representative projects include Galileo, MarrNet, the Neuro-Symbolic Concept Learner, Neural Flow Maps, and 3D-Fauna.

In addition to developing the representations themselves, we simultaneously explore their applications in various domains:

Here is some information for prospective students and visitors.

Thank you for your interest in joining my group! Due to the large number of emails I receive, I cannot respond to every email individually. Please review the information below before contacting me. Thanks.

Current Stanford students and prospective visiting students: please fill out this form. For Stanford MS students and undergraduates, the minimum time commitment is 15 hours per week for six months. For visiting graduate students, the minimum length of a visit is six months.

Prospective postdocs: please email me directly with your CV.

Prospective graduate students: please apply through the system and list me as a potential advisor in your application. There is no need to contact me, unless you have a particular research question/idea that you would like to discuss further.

Group

Postdocs
PhD Students
Affiliates
Alumni
  • Manling Li (post-doc 2024), Assistant Professor, Northwestern University
  • Yunzhu Li (post-doc 2023, with Fei-Fei Li), Assistant Professor, Columbia University
  • Ruohan Gao (post-doc 2023, with Fei-Fei Li and Silvio Savarese), Assistant Professor, University of Maryland, College Park
  • Sumith Kulal (PhD 2023, with Alex Aiken), Co-Founder, Black Forest Labs
  • Huazhe Xu (post-doc 2022), Assistant Professor, Tsinghua University

Talks

Research Overview (Jan 2023) Naturally Supervised Vision (July 2022) Multi-Sensory Neural Objects (Oct 2022)

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

Year: 2024 / 2023 / 2022 / 2021 / 2020 / 2019 / 2018 / 2017 / 2016 / 2015 / 2014 and before
Current Research Topics: Physical Scene Understanding / Multi-Modal Perception / Visual Generation / Visual Reasoning / Robotics and Embodied AI; Past Research Topic: Weakly-Supervised Learning
(* and † indicate equal contribution or alphabetical order)