Deepfake Detection using Deep Learning Methods Офлайн 2021
Доклад отклонён
Тезисы
Generating deepfakes has become much easier using Deep Learning and Computer Vision methods with the abundance of data available these days. Researchers and engineers are now pushing forward to develop robust methods to detect deepfakes. In this talk, we'll examine the characteristics of deepfakes and discuss how to develop Machine Learning models to automatically detect deepfakes.
Semih Yagcioglu
Apziva
Semih is the Director of Artificial Intelligence at Apziva and a PhD candidate at Hacettepe University. He is interested in AI and focuses on solving various challenging real-world problems through developing intelligent systems.