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Postdoc @ Stanford University

Email: szwu AT

Elliott / Shangzhe Wu

I am a postdoc researcher at Stanford University, working with Jiajun Wu. My current research focuses on unsupervised 3D perception and inverse rendering. I am particularly interested in designing unsupervised algorithms that lead to the emergence of physically-grounded, disentangled 3D representations of dynamic objects from "in-the-wild" data, such as online photos and videos, without explicit manual supervision.

I obtained my PhD from Oxford VGG, advised by Andrea Vedaldi and Christian Rupprecht, and BSc in Computer Science from HKUST, working with Chi-Keung Tang and Yu-Wing Tai. I also spent a lovely summer interning at Google Research with Noah Snavely's team.


Dec 2022: Defended my PhD thesis on Unsupervised Learning of 3D Objects in the Wild!

Oct 2022: Collected another two Outstanding Reviewer badges from ECCV and NeurIPS!

Oct 2022: We are organizing an ECCV workshop on Neural Geometry and Rendering with the CO3D Challenge.

Oct 2021: We are organizing an ICCV workshop on Unsupervised 3D Learning in the Wild.

Jun 2021: I have set up some public office hours (following Jia-Bin Huang).

May 2021: Happy to be recognized as an Outstanding Reviewer at CVPR 2021!

Jun 2020: Our work on Unsup3D received the Best Paper Award at CVPR 2020!

Recent Talks:

[2022/09] Learning 3D Objects in the Wild




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