Michelle Guo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Automatic Detection

Spoken Language

Computer Vision

Top Venues

Publications

Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, C. Karen Liu
Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation. ICRA (2024)
Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects. IEEE Robotics Autom. Lett. 8 (5) (2023)
Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. Trans. Mach. Learn. Res. 2023 (2023)
Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. CoRR (2023)
Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu
Learning to Design and Use Tools for Robotic Manipulation. CoRR (2023)
Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu
Learning to Design and Use Tools for Robotic Manipulation. CoRL (2023)
Michelle Guo, Yifeng Jiang, Andrew Everett Spielberg, Jiajun Wu, Karen Liu
Benchmarking Rigid Body Contact Models. L4DC (2023)
Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects. CoRR (2022)
Albert Wu, Michelle Guo, C. Karen Liu
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization. CoRR (2022)
Albert Wu, Michelle Guo, Karen Liu
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization. CoRL (2022)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer
Advances in neural rendering. SIGGRAPH Courses (2021)
Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI. CoRR (2021)
Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI. SCA (2021)
Michelle Guo, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser
Object-Centric Neural Scene Rendering. CoRR (2020)
Michelle Guo, Jenny Lin, Vidya Narayanan, James McCann
Representing Crochet with Stitch Meshes. SIGGRAPH Posters (2020)
Amit Singh, Albert Haque, Alexandre Alahi, Serena Yeung, Michelle Guo, Jill R. Glassman, William Beninati, Terry Platchek, Li Fei-Fei, Arnold Milstein
Automatic detection of hand hygiene using computer vision technology. J. Am. Medical Informatics Assoc. 27 (8) (2020)
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
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. npj Digit. Medicine 2 (2019)
Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei
Audio-Linguistic Embeddings for Spoken Sentences. CoRR (2019)
Michelle Guo, Albert Haque, Prateek Verma
End-to-End Spoken Language Translation. CoRR (2019)
Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei
Audio-linguistic Embeddings for Spoken Sentences. ICASSP (2019)
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, Li Fei-Fei
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. MLHC (2018)
Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei
Dynamic Task Prioritization for Multitask Learning. ECCV (16) (2018)
Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei
Neural Graph Matching Networks for Fewshot 3D Action Recognition. ECCV (1) (2018)
Albert Haque, Michelle Guo, Prateek Verma
Conditional End-to-End Audio Transforms. INTERSPEECH (2018)
Albert Haque, Michelle Guo, Adam S. Miner, Li Fei-Fei
Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions. CoRR (2018)
Albert Haque, Michelle Guo, Prateek Verma
Conditional End-to-End Audio Transforms. CoRR (2018)
Edward Chou, Matthew Tan, Cherry Zou, Michelle Guo, Albert Haque, Arnold Milstein, Li Fei-Fei
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images. CoRR (2018)
Liang Lu, Michelle Guo, Steve Renals
Knowledge distillation for small-footprint highway networks. ICASSP (2017)
Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, N. Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. MLHC (2017)
Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, N. Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. CoRR (2017)
Liang Lu, Michelle Guo, Steve Renals
Knowledge Distillation for Small-footprint Highway Networks. CoRR (2016)