Fangyin Wei

fwei@princeton.edu

I am a fourth-year Ph.D. candidate in the Computer Science department at Princeton University. Now at Princeton, I feel super lucky to be co-advised by professor Szymon Rusinkiewicz and professor Thomas Funkhouser. Prior to joining Princeton, I got my Bachelor's Degree in Intelligence Science and Technology from Peking University in 2018. I am currently interested in visual and 3D understanding of the world through learning. I was a research intern at Reality Labs (Meta), Uber ATG, Google, Microsoft Research Asia, Stanford University (advised by professor Leonidas Guibas), and Sensetime Group Limited.

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Publications

articulated object

Self-supervised Neural Articulated Shape and Appearance Models

Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer,
Szymon Rusinkiewicz, Chris Sweeney, Richard Newcombe, Mira Slavcheva
Computer Vision and Pattern Recognition (CVPR), 2022  
paper (full) / webpage / bibtex
@inproceedings{wei2022nasam,
    title = {Self-supervised Neural Articulated Shape and Appearance Models},
    author = {Fangyin Wei and Rohan Chabra and Lingni Ma and Christoph
              Lassner and Michael Zollhoefer and Szymon Rusinkiewicz and Chris
              Sweeney and Richard Newcombe and Mira Slavcheva},
    booktitle = {Proceedings IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
}
            

semantic edit

Learning to Infer Semantic Parameters for 3D Shape Editing

Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, Thomas Funkhouser
International Conference on 3D Vision (3DV), 2020  
paper / supplement / arXiv (full) / bibtex
@inproceedings{Wei:2020:LTI,
   author = "Fangyin Wei and Elena Sizikova and Avneesh Sud and Szymon Rusinkiewicz
      and Thomas Funkhouser",
   title = "Learning to Infer Semantic Parameters for {3D} Shape Editing",
   booktitle = "International Conference on 3D Vision (3DV)",
   year = "2020",
   month = nov
}
            

NLOS Imaging

Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition

Wenzheng Chen*, Fangyin Wei*, Kyros Kutulakos, Szymon Rusinkiewicz, Felix Heide
ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2020  
paper / supplement / webpage / code / bibtex
@article{Chen:NLOS:2020,
title = {Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition},
author = {Wenzheng Chen and Fangyin Wei and Kiriakos N. Kutulakos and Szymon Rusinkiewicz and Felix Heide},
year = {2020},
issue_date = {December 2020}, 
publisher = {Association for Computing Machinery}, 
volume = {39}, 
number = {6}, 
journal = {ACM Transactions on Graphics (Proc. SIGGRAPH Asia)}, 
}
            

NLOS Detection and Tracking

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

Nicolas Scheiner*, Florian Kraus*, Fangyin Wei*, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
Computer Vision and Pattern Recognition (CVPR), 2020  
paper / webpage / code / bibtex
@InProceedings{scheiner2019seeing,
author={Scheiner, Nicolas and Kraus, Florian and Wei, Fangyin and Phan, Buu and Mannan, Fahim and Appenrodt, Nils and Ritter, Werner and Dickmann, J{\"u}rgen and Dietmayer, Klaus and Sick, Bernhard and Heide, Felix},
title={Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
            

RSA

ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition

Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang
Neural Networks 110: 104-115, 2019  
paper / bibtex
@article{DBLP:journals/nn/ZhongWLZ19,
  author    = {Zhisheng Zhong and
               Fangyin Wei and
               Zhouchen Lin and
               Chao Zhang},
  title     = {ADA-Tucker: Compressing deep neural networks via adaptive dimension
               adjustment tucker decomposition},
  journal   = {Neural Networks},
  volume    = {110},
  pages     = {104--115},
  year      = {2019},
  url       = {https://doi.org/10.1016/j.neunet.2018.10.016},
}
            

integral regression

Integral Human Pose Regression

Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, Yichen Wei
European Conference of Computer Vision (ECCV), 2018  
paper / code / bibtex
@InProceedings{sun2017integral,
  author    = {Xiao Sun and
               Bin Xiao and
	       Fangyin Wei and
               Shuang Liang and
               Yichen Wei},
  title     = {Integral Human Pose Regression},
  booktitle = {ECCV},
  year      = {2018}
  }
            

D^2AE

Exploring Disentangled Feature Representation Beyond Face Identification

Yu Liu*, Fangyin Wei*, Jing Shao*, Lu Sheng, Junjie Yan, Xiaogang Wang
Computer Vision and Pattern Recognition (CVPR), 2018  
paper/ webpage / poster / bibtex
@InProceedings{liu2018exploring,
  title={Exploring Disentangled Feature Representation Beyond Face Identification},
  author={Liu, Yu and Wei, Fangyin and Shao, Jing and Sheng, Lu and Yan, Junjie and Wang, Xiaogang},
  booktitle={CVPR},
  year={2018}
}
            

RSA

Recurrent Scale Approximation for Object Detection in CNN

Yu Liu, Hongyang Li , Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang
International Conference of Computer Vision (ICCV), 2017  
paper / code / bibtex
@InProceedings{liu2018rsa,
  title={Recurrent Scale Approximation for Object Detection in {CNN}},
  author={Yu Liu and
          Hongyang Li and
          Junjie Yan and
          Fangyin Wei and
          Xiaogang Wang and
          Xiaoou Tang},
  booktitle={ICCV},
  year={2017}
}
            



Teaching


Teaching Assistant, COS 302: Mathematics for Numerical Computing and Machine Learning, Fall 2020

Teaching Assistant, COS 302: Mathematics for Numerical Computing and Machine Learning, Spring 2020

Teaching Assistant, COS 429: Computer Vision, Fall 2019

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