Michelle Guo


mguo95 at cs dot stanford dot edu

I am a PhD student in the Computer Science department at Stanford University. I currently work in the Stanford Vision and Learning Lab.

[Google Scholar]

Research

Object-Centric Neural Scene Rendering
Michelle Guo, Alireza Fathi, Jiajun Wu, Thomas Funkhouser
arXiv, 2020
[website] [arXiv]


A Computer Vision System for Deep Learning-Based Detection of Patient Mobilization Activities in the ICU
Serena Yeung*, Francesca Rinaldo*, Jeffrey Jopling, Bingbin Liu, Rishab Mehra, N. Lance Downing, Michelle Guo, Gabriel M. Bianconi, Alexandre Alahi, Julia Lee, Brandi Campbell, Kayla Deru, William Beninati, Li Fei-Fei, Arnold Milstein
Nature (npj) Digital Medicine, 2019
[pdf]


Audio-Linguistic Embeddings for Spoken Sentences
Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
[arXiv] [pdf]


Measuring the Severity of Depressive Symptoms from Spoken Language and 3D Facial Expressions
A Haque, M Guo, A Miner, L Fei-Fei
NeurIPS Workshop on Machine Learning for Health (ML4H), 2018
[arXiv] [pdf]


Activity Recognition from Low Resolution Images (Spotlight)
E Chou, M Tan, C Zou, M Guo, A Haque, A Milstein, L Fei-Fei
NeurIPS Workshop on Machine Learning for Health (ML4H), 2018
[arXiv] [pdf]


Neural Graph Matching Networks for Fewshot 3D Action Recognition
M Guo, E Chou, DA Huang, S Song, S Yeung, L Fei-Fei
European Conference on Computer Vision (ECCV), 2018
[pdf]


Focus on the Hard Things: Dynamic Task Prioritization for Multitask Learning
M Guo, A Haque, DA Huang, S Yeung, L Fei-Fei
European Conference on Computer Vision (ECCV), 2018
[pdf]


3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities
M Guo*, B Liu*, E Chou, R Mehra, S Yeung, L Downing, F Salipur, J Jopling, B Campbell, K Deru, W Beninati, A Mistein, L Fei-Fei
Machine Learning for Healthcare Conference (MLHC), 2018
[pdf]


Conditional End-to-End Audio Transforms (Oral)
M Guo*, A Haque*, P Verma
Ninteenth Annual Conference of the International Speech Communication Association (Interspeech), 2018
[arXiv] [pdf]


Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios
M Guo, A Haque, J Jopling, A Alahi, B Campbell, K Deru, W Beninati, A Milstein, L Fei-Fei
NIPS Workshop on Machine Learning for Health (ML4H), 2018
[pdf]


Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance
A Haque, M Guo, A Alahi, S Yeung, Z Luo, A Rege, J Jopling, L Downing, W Beninati, A Singh, T Platchek, A Milstein, L Fei-Fei
Machine Learning for Healthcare Conference (MLHC), 2017
[arXiv] [pdf]


Knowledge Distillation for Small-footprint Highway Networks
L Lu, M Guo, S Renals
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
[arXiv] [pdf]


Lithium-Rich Giants in Globular Clusters
EN Kirby, P Guhathakurta, AJ Zhang, J Hong, M Guo, R Guo, JG Cohen, K Cunha
The Astrophysical Journal (ApJ), 2016
[arXiv] [pdf]


Carbon in Red Giants in Globular Clusters and Dwarf Spheroidal Galaxies
EN Kirby, M Guo, AJ Zhang, M Deng, JG Cohen, P Guhathakurta, MD Shetrone, YS Lee, L Rizzi
The Astrophysical Journal (ApJ), 2015
[arXiv] [pdf]