Muhammad Ferjad Naeem

 

I am a Ph.D. Candidate at the Computer Vision lab at ETH Z├╝rich supervised by Prof. Luc Van Gool and Dr. Federico Tombari. I am particularly interested in Machine Learning systems that can adapt and generalize to novel environments. Previously I obtained my Master's degree from the Technical University of Munich with a focus on Generative Models at Naver AI Lab and Zero-shot Learning at UniT├╝bingen AI Research. I have also been an intern at Nvidia.

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Publications

PontTuset Learning Graph Embeddings for Compositional Zero-shot Learning
Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
CVPR, 2021

PontTuset Open World Compositional Zero-Shot Learning
Massimiliano Mancini*, Muhammad Ferjad Naeem*, Yongqin Xian, Zeynep Akata
*Equal contribution
CVPR, 2021

PontTuset Reliable Fidelity and Diversity Metrics for Generative Models
Muhammad Ferjad Naeem*, Seong Joon Oh*, Youngjung Uh, Yunjey Choi, Jaejun Yoo
*Equal contribution
ICML, 2020

PontTuset Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks
Magdalini Paschali*, Muhammad Ferjad Naeem*, Walter Simson, Katja Steiger, Martin Mollenhauer, Nassir Navab
*Equal contribution
Arxiv, 2019

PontTuset A Multi-Faceted OCR Framework for Artificial Urdu News Ticker Text Recognition
Sami-Ur-Rehman, Burhan Ul Tayyab, Muhammad Ferjad Naeem, Adnan Ul-Hasan, Faisal Shafait
DAS, 2018

PontTuset Impact of Ligature Coverage on Training Practical Urdu OCR Systems
Muhammad Ferjad Naeem, Noor ul Sehr Zia, Aqsa Ahmed Awan, Faisal Shafait, Adnan ul Hasan
ICDAR, 2017