Postdoc @ Stanford University
Email: szwu AT cs.stanford.edu
I will be joining the Department of Engineering at the University of Cambridge as an Assistant Professor in March 2025. If you're interested in our PhD program, please apply here. Also consider applying for the Gates Cambridge Scholarship (deadline in October for US Citizens and December for the rest) and the ELLIS PhD Program (deadline in November).
I am currently a postdoc researcher at Stanford University, working with Jiajun Wu. My current research focuses on unsupervised 3D perception and inverse rendering. I'm particularly fascinated by symmetries and structures in nature, as well as how they connect to the way we make sense of our perceptual experiences. The fundamental motivation of my work is to uncover the underlying statistical and geometric structures of the physical world (e.g., distributions of 3D shape, motion, appearance) from raw, casual observations (e.g., Internet photos, videos, audio) in an unsupervised manner akin to human perception.
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.
News:
Oct 2024: Humbled to received the ECVA PhD Award!
Sep 2024: We are organizing a Workshop on Visual Concepts at ECCV 2024.
Jun 2024: We are organizing the 4th CV4Animals Workshop at CVPR 2024.
Nov 2023: Honored to received the BMVA Sullivan Doctoral Thesis Prize!
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:
[2024/05] Physical Natural World from Images
[2023/12] Learning 3D Fauna and Flora in the Wild
( * and † indicate equal contribution or alphabetical order )
Keqiang Sun*, Dor Litvak*, Yunzhi Zhang, Hongsheng Li, Jiajun Wu†, Shangzhe Wu†
ECCV 2024
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Video
Paper
Code
Mason L. Wang*, Ryosuke Sawata*, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu
CVPR 2024
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Video
Paper
Code
Zizhang Li*, Dor Litvak*, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu†, Andrea Vedaldi†, Jiajun Wu†
CVPR 2024
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Demo
Paper
Code
Sharon Lee*, Yunzhi Zhang*, Shangzhe Wu, Jiajun Wu
ICLR 2024
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Paper
Code
Zhengfei Kuang*, Yunzhi Zhang*, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
NeurIPS (Datasets and Benchmarks Track) 2023
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Paper
Code
Tomas Jakab*, Ruining Li*, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
3DV 2024
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Paper
Code
Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu
CVPR 2023
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Paper
Code
Shangzhe Wu*, Ruining Li*, Tomas Jakab*, Christian Rupprecht, Andrea Vedaldi
CVPR 2023
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Video
Paper
Code
Shangzhe Wu
DPhil Thesis, University of Oxford, 2022
ECVA PhD Award, and BMVA Sullivan Doctoral Thesis Prize
Thesis
Keqiang Sun*, Shangzhe Wu*, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li
NeurIPS 2022 (Spotlight), also in TPAMI 2023
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Paper
Paper (TPAMI)
Code
Felix Wimbauer, Shangzhe Wu, Christian Rupprecht
CVPR 2022
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Video
Paper
Code
Shangzhe Wu*, Tomas Jakab*, Christian Rupprecht, Andrea Vedaldi
IJCV 2023
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Video
Paper
Code
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu
arXiv preprint 2021
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Paper
Code
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
CVPR 2021
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Video
Paper
Code
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
CVPR 2020 (Best Paper Award), also in TPAMI 2021, IJCAI SCBP Track 2021
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Demo
Video
Paper
Paper (TPAMI)
Code
Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang
ECCV 2018
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Paper
Paper (High Res)
Sup Mat
Poster
Code
Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang
ECCV 2018
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Paper
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