I am a second-year CS master's student at Stanford working on the video and healthcare team in the Stanford Vision and Learning Lab under the supervision of Prof. Li Fei-Fei and Dr. Juan Carlos Niebles. I am really interested in video understanding and would like to build video understanding models that are reliable, efficient and versatile enough for real-world applications. I am currently applying to PhD programs, where I can get more in-depth studies on representation learning, data efficiency, interpretability and reasoning.
Verb-Object Graph for Fine-grained Recognition of Egocentric Activities
Bingbin Liu*, Chien-Yi Chang*, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
In submission to Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos
Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
In European Conference on Computer Vision (ECCV), 2018
Also presented at Women in Computer Vision (WiCV) workshop.
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
In Neural Information Processing Systems (NeurIPS), 2018
Descriptive Analysis of ICU Patient Mobilization from Depth Videos
Laëtitia Shao*, Zaid Nabulsi*, Ruchir Rastogi*, Bingbin Liu, Francesca Rinaldo, Serena Yeung, N. Lance Downing, William Beninati, Arnold Milstein, Li Fei-Fei
In Machine Learning for Health (ML4H) workshop, 2018
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities
Bingbin Liu*, Michelle Guo*, Edward Chou, Rishab Mehra, Serena Yeung, N. Lance Downing, Francesca Salipur, Jeffrey Jopling, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein,
In Machine Learning for Health Care (MLHC), 2018
A Computer Vision System to Detect Bedside Patient Mobilization
Serena Yeung*, Francesca Rinaldo*, Jeffrey Jopling, Bingbin Liu, Rishab Mehra, Lance Downing, Michelle Guo, Gabriel Bianconi, Alexandre Alahi, Julia Lee, Brandi Campbell, Kayla Deru, William Beninati, Li Fei-Fei, Arnold Milstein.
In Nature Digital Medicine, 2019
Teaching: I am currently a teaching assistant for MED277/CS377: AI-Assisted Healthcare leading the ICU project, and was a teaching assistent for CS231n: Convolutional Neural Networks for Visual Recognition in Spring 2018.
I also had a great time working with some talented high school girls who are starting to learn coding. I helped at Girls teach Girls to Code (GTGTC) in April 2018 as the mentor lead of the AI team. I worked with Rob Voigt as research mentors for the NLP team at Stanford AI4ALL in summer 2018, where we worked with an amazing team of 8 girls on a project applying NLP techniques on Tweets to help with identifying resources for disaster relief. If you are interested in learning more about the role identities play in tech industries, please check out the website of Morgan Ames, a postdoc researher who observed the AI4ALL camps and is really nice to talk to. :)
Undergraduate Research under the supervision of Prof. Ben Hardekopf.