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.