Emma

Emma Boya Peng

[Resume]

boya@stanford.edu

Welcome! I am currently a graduate student at Stanford University, pursuing a Master's in Computer Science. I am working as a teaching assistant for CS231n: Convolutional Networks for Visual Recognition this Spring. Previously, I was a teaching assistant for CS224n: Natural Language Processing with Deep Learning, and had worked as a research assistant in the Stanford Vision Lab with Professor Fei-Fei Li. I earned my B.Eng. in Computer Science at the University of Hong Kong, and had done research in the HKU PL Group.


View Emma Boya Peng's profile on LinkedIn         

Research


Unsupervised Learning of Long-Term Motion Dynamics for Videos

Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei
CVPR 2017 [pdf]


Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback

Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei
ECCV 2016 [pdf] [website]


Show, Discriminate, and Tell:
A Discriminatory Image Captioning Model with Deep Neural Networks

Boya Peng, Zelun Luo
[pdf][Coming soon!]

Industry

Machine Learning Intern

Qifun Network

Software Development Intern (NLP)

A9.com, Product Search

Misc

Teaching Assistant

  • CS231n: Convolutional Networks for Visual Recognition (Spring 2017)
  • CS224n: Natural Language Processing with Deep Learning (Winter 2017)

  • Stanford AI-Assisted Healthcare

    I was a member of the Stanford Program in AI-Assisted Care (PAC), which is a collaboration between the Stanford AI Lab and Stanford Clinical Excellence Research Center that aims to use computer vision and machine learning to create AI-assisted smart healthcare spaces.
    Some publications:

    Vision-Based Hand Hygiene Monitoring in Hospitals

    S. Yeung, A. Alahi, Z. Luo, B. Peng, A. Haque, A. Singh, T. Platchek, A. Milstein, L. Fei-Fei.
    Workshop on Machine Learning in Healthcare, NIPS. 2015. [pdf]