51 citations · 76 across the 6 of their papers we have counts for
7 papers
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
Yuxuan Mu, Ziyu Zhang, Yi Shi +9
Data-driven motion priors that can guide agents toward producing naturalistic behaviors play a pivotal role in creating life-like virtual characters. Adversarial imitation learning…
SHARE: Scene-Human Aligned Reconstruction
Joshua Li, Brendan Chharawala, Chang Shu +2
Animating realistic character interactions with the surrounding environment is important for autonomous agents in gaming, AR/VR, and robotics. However, current methods for human mo…
StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data
Yuxuan Mu, Hung Yu Ling, Yi Shi +5
Motion capture (mocap) data often exhibits visually jarring artifacts due to inaccurate sensors and post-processing. Cleaning this corrupted data can require substantial manual eff…
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi +3
The COVID-19 pandemic has had devastating effects on the well-being of the global population. The pandemic has been so prominent partly due to the high infection rate of the virus…
COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean +3
The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. Apart from the global health crises, the pandemic has also cause…
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay +3
The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human live…
Abnormality Detection in Mammography using Deep Convolutional Neural Networks
Pengcheng Xi, Chang Shu, Rafik Goubran
Breast cancer is the most common cancer in women worldwide. The most common screening technology is mammography. To reduce the cost and workload of radiologists, we propose a compu…