Fangyin Weifwei@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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@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} } |
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@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 } |
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Learned Feature Embeddings for Non-Line-of-Sight Imaging and RecognitionWenzheng Chen*, Fangyin Wei*, Kyros Kutulakos, Szymon Rusinkiewicz, Felix HeideACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2020  
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@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)}, } |
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Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler RadarNicolas Scheiner*, Florian Kraus*, Fangyin Wei*, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix HeideComputer Vision and Pattern Recognition (CVPR), 2020  
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@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} } |
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ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decompositionZhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao ZhangNeural Networks 110: 104-115, 2019  
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@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}, } |
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Integral Human Pose RegressionXiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, Yichen WeiEuropean Conference of Computer Vision (ECCV), 2018   |
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Exploring Disentangled Feature Representation Beyond Face IdentificationYu Liu*, Fangyin Wei*, Jing Shao*, Lu Sheng, Junjie Yan, Xiaogang WangComputer Vision and Pattern Recognition (CVPR), 2018   |
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Recurrent Scale Approximation for Object Detection in CNNYu Liu, Hongyang Li , Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou TangInternational Conference of Computer Vision (ICCV), 2017   |
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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