Catherine Tong

According to our database, Catherine Tong authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition.

Shing Chan, Hang Yuan, Catherine Tong, Aidan Acquah, Abram Schonfeldt, Jonathan Gershuny, Aiden R. Doherty

CoRR, 2024

2022

Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data.

Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden R. Doherty

CoRR, 2022

2021

Can You See It?: Good, So We Can Sense It!

HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz

GetMobile Mob. Comput. Commun., 2021

Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings.

Catherine Tong, Jinchen Ge, Nicholas D. Lane

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Predicting Patient Outcomes with Graph Representation Learning.

Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò

CoRR, 2021

RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery.

Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.

HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

RainBench: Towards Global Precipitation Forecasting from Satellite Imagery.

Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski

CoRR, 2020

Are Accelerometers for Activity Recognition a Dead-end?

Catherine Tong, Shyam A. Tailor, Nicholas D. Lane

Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

2019

Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices.

Catherine Tong, Matthew Craner, Matthieu Vegreville, Nicholas D. Lane

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

2018

Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data.

Catherine Tong, Gabriella M. Harari, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville, Eva Roitmann, Nicholas D. Lane

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Deterministic Binary Filters for Convolutional Neural Networks.

Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Multimodal Deep Learning for Activity and Context Recognition.

Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017