Neural Motion Transfer serves as an effective data augmentation technique for PPG signal estimation from facial videos. We devise the best strategy to augment publicly available datasets with motion augmentation, improving up to 75% over SOTA techniques on five benchmark datasets.
Introducing a multi-reliability and multi-level feature augmentation framework for semi-supervised semantic segmentation, effectively utilizing labeled and unlabeled images and improving segmentation performance on benchmark datasets.
Misc
I am enthusiastic in helping other students succeed in computer science. I have shared my knowledge and support students' learning journey in the following course:
University of North Carolina at Chapel Hill, Undergraduate Learning Assistant: