Muhammad Ferjad Naeem is a Master's candidate at the Technical University of Munich (TUM). He is currently part of the Explainable Machine Learning group as a research assistant supervised by Prof. Zeynep Akata. Previously, he was part of the Computer-Aided Medical Procedures (CAMP) chair at TUM with Prof. Nassir Navab. He has also been an intern at Naver Clova AI Research in the past and a DAAD scholar at Hochschule RheinMain. Ferjad's research interests include Representation Learning, Generative Models, and Zero-shot learning. 

Reliable Fidelity and Diversity Metrics for Generative Models

Muhammad Ferjad Naeem*, Seong Joon Oh*, Youngjung Uh, Yunjey Choi, Jaejun Yoo

at International Conference on Machine Learning (ICML2020)