no code implementations • 8 Aug 2024 • Rex Liu, Xin Liu
Mu-MAE integrates a multimodal masked autoencoder with a synchronized masking strategy tailored for wearable sensors.
no code implementations • 30 Oct 2023 • Surya Narayanan Hari, Rex Liu, Matt Thomson
Currently, over a thousand LLMs exist that are multi-purpose and are capable of performing real world tasks, including Q&A, text summarization, content generation, etc.
1 code implementation • 8 Dec 2021 • Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu
We propose MASTAF, a Model-Agnostic Spatio-Temporal Attention Fusion network for few-shot video classification.
no code implementations • 28 Jun 2021 • Rex Liu, Sarina A Fazio, Huanle Zhang, Albara Ah Ramli, Xin Liu, Jason Yeates Adams
In this paper, we target a new healthcare application of human activity recognition, early mobility recognition for Intensive Care Unit(ICU) patients.
no code implementations • 12 May 2021 • Albara Ah Ramli, Xin Liu, Kelly Berndt, Erica Goude, Jiahui Hou, Lynea B. Kaethler, Rex Liu, Amanda Lopez, Alina Nicorici, Corey Owens, David Rodriguez, Jane Wang, Huanle Zhang, Daniel Aranki, Craig M. McDonald, Erik K. Henricson
We extracted temporospatial gait clinical features (CFs) and applied multiple machine learning (ML) approaches to differentiate between DMD and TD children using extracted temporospatial gait CFs and raw data.
no code implementations • 29 Mar 2021 • Rex Liu, Albara Ah Ramli, Huanle Zhang, Erik Henricson, Xin Liu
With the rapid development of the internet of things (IoT) and artificial intelligence (AI) technologies, human activity recognition (HAR) has been applied in a variety of domains such as security and surveillance, human-robot interaction, and entertainment.
no code implementations • 1 Jun 2020 • Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy, Vishal I B, Xiaoxiao Wang, Ilias Tagkopoulos, Xin Liu
The system uses a Convolutional Neural Network (CNN) to find the blinking pattern, which is defined as a series of Open and Closed states.
1 code implementation • NeurIPS 2020 • Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex Liu, Thomas Serre
We posit that the effectiveness of recurrent vision models is bottlenecked by the standard algorithm used for training them, "back-propagation through time" (BPTT), which has O(N) memory-complexity for training an N step model.