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 PD. Dr. Federico Tombari. I am also a Research Consultant with Google in Zurich working closely with Federico Tombari's team as part of my Ph.D. 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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PontTuset Learning Attention Propagation for Compositional Zero-Shot Learning
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
WACV, 2023

PontTuset I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari
NeurIPS, 2022

PontTuset 3D Compositional Zero-shot Learning with DeCompositional Consensus
Muhammad Ferjad Naeem*, Evin Pinar Ornek*, Yongqin Xian, Luc Van Gool, Federico Tombari
*Equal contribution
ECCV, 2022

PontTuset Learning Graph Embeddings for Open World Compositional Zero-shot Learning
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
TPAMI, 2022

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