Vedant Shah
Vedant Shah is pursuing a master’s degree in the Department of Computer Science. His advisor is Ismini Lourentzou.
His research interest is on dataset and associated task analysis to develop data metrics to measure quality of a dataset. Currently, Shah is focused on development of downstream computer vision tasks (for example, facial recognition, object detection) using GANs and transformer models.
Computer VisionPublications
Xavier Pleimling, Vedant Shah
In Proceedings of the PErvasive Technologies Related to Assistive Environments, (pp 118–124), 07/2022
Citatations: BibTeX