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]