Scholar
Muhammad Ferjad Naeem
Google Scholar ID: PR2DwYYAAAAJ
Research Scientist, Google
Citations & Impact
Citations
1,997
H-index
17
i10-index
21
Publications
20
Co-authors
44
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences and journals such as ICCV, CVPR, NeurIPS, ECCV, covering areas like vision-language pretraining, zero-shot image classification, learning attention propagation, etc.
Research Experience
- Works as a Research Consultant with Google in Zurich and collaborates closely with Google Deepmind on Foundational Vision Language Models. Has also been an intern at Nvidia.
Education
- Ph.D. Candidate at ETH Zürich, Computer Vision lab, supervised by Prof. Luc Van Gool and PD. Dr. Federico Tombari; Master's degree from Technical University of Munich, with a focus on Generative Models (Naver AI Lab) and Zero-shot Learning (UniTübingen AI Research).
Background
- Interested in building strong multimodal foundational models and distilling the world knowledge of foundational models to smaller task-specific models that can adapt and generalize to novel classes and environments.
Miscellany
- Personal interests and other information not provided.
