Postdoc @ Stanford University
Email: sw2181 AT cam.ac.uk
I will be joining the Department of Engineering at the University of Cambridge as an Assistant Professor in March 2025. I'm building a research group focusing on modeling the dynamic physical 3D world from images and will be looking for PhD students to start in October 2025. If you are interested in joining us and have experience in 3D computer vision, generative models, and/or computer graphics, please apply to the Engineering PhD Program by the funding deadline on December 3, 2024.
To PhD applicants: Cambridge enforces a strict deadline for recommendation letters—all letters must be submitted by the application deadline, unlike many American schools which often allow for a later deadline for recommendation letters. If you have submitted an application by Dec 3, listed me as a potential supervisor, and wish to confirm that your application is complete and has been received, feel free to send me a short email.
I am currently a postdoc researcher at Stanford University, working with Jiajun Wu. My current research focuses on unsupervised 3D learning 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 behind my work is to build generative models of the physical natural world, capturing distributions of physical properties (e.g., 3D shape, motion, reflectance) from raw, casual multimodal observations (e.g., Internet photos, videos, audio) without direct 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.
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 )
Chen Geng, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
arXiv preprint 2024
Page
Paper
Ben Kaye*, Tomas Jakab*, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
arXiv preprint 2024
Page
Paper
Yunzhi Zhang, Zizhang Li, Matt Zhou, Shangzhe Wu, Jiajun Wu
arXiv preprint 2024
Page
Paper
Code
Keqiang Sun*, Dor Litvak*, Yunzhi Zhang, Hongsheng Li, Jiajun Wu†, Shangzhe Wu†
ECCV 2024
Page
Video
Paper
Code
Mason L. Wang*, Ryosuke Sawata*, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu
CVPR 2024
Page
Video
Paper
Code
Zizhang Li*, Dor Litvak*, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu†, Andrea Vedaldi†, Jiajun Wu†
CVPR 2024
Page
Demo
Paper
Code
Sharon Lee*, Yunzhi Zhang*, Shangzhe Wu, Jiajun Wu
ICLR 2024
Page
Paper
Code
Zhengfei Kuang*, Yunzhi Zhang*, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
NeurIPS (Datasets and Benchmarks Track) 2023
Page
Paper
Code
Tomas Jakab*, Ruining Li*, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
3DV 2024
Page
Paper
Code
Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu
CVPR 2023
Page
Paper
Code
Shangzhe Wu*, Ruining Li*, Tomas Jakab*, Christian Rupprecht, Andrea Vedaldi
CVPR 2023
Page
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
Page
Paper
Paper (TPAMI)
Code
Felix Wimbauer, Shangzhe Wu, Christian Rupprecht
CVPR 2022
Page
Video
Paper
Code
Shangzhe Wu*, Tomas Jakab*, Christian Rupprecht, Andrea Vedaldi
IJCV 2023
Page
Video
Paper
Code
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu
arXiv preprint 2021
Page
Paper
Code
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
CVPR 2021
Page
Video
Paper
Code
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
CVPR 2020 (Best Paper Award), also in TPAMI 2021, IJCAI SCBP Track 2021
Page
Demo
Video
Paper
Paper (TPAMI)
Code
Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang
ECCV 2018
Page
Paper
Paper (High Res)
Sup Mat
Poster
Code
Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang
ECCV 2018
Page
Paper
( This may take a while to load. Try refreshing the page if it's not loading. )