no code implementations • 8 Apr 2024 • Halil Ismail Helvaci, Sen-ching Samson Cheung, Chen-Nee Chuah, Sally Ozonoff
This study is the first to conduct end-to-end temporal action localization in untrimmed videos of infants with ASD, offering promising avenues for early intervention and support.
no code implementations • 10 Jan 2022 • Dongjie Chen, Sen-ching Samson Cheung, Chen-Nee Chuah, Sally Ozonoff
To protect sensitive data in training a Generative Adversarial Network (GAN), the standard approach is to use differentially private (DP) stochastic gradient descent method in which controlled noise is added to the gradients.