Search Results for author:
Found 3 papers, 1 papers with code
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
The advantage also holds for scattered missing data at high missing rates.
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense
Recent studies have revealed the vulnerability of Deep Neural Networks (DNNs) to adversarial examples, which can easily fool DNNs into making incorrect predictions.
Facial Landmark Predictions with Applications to Metaverse
This research aims to make metaverse characters more realistic by adding lip animations learnt from videos in the wild.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
