🧑‍🔬 Ibrahim Alabdulmohsin

🏛️ Affiliations

🎓King Abdullah University of Science and TechnologyJeddah · Saudi Arabia2014–2018 · 22 papersEducation🏢GoogleMountain View · United States2020–2025 · 12 papers🏢GoogleZurich · Switzerland2019–2024 · 3 papersEmployment since 2019 · Research Scientist, Research🏢Google DeepMindLondon · United Kingdom2023–2025 · 2 papers🏢Saudi AramcoDhahran · Saudi Arabia2005–2019 · 1 paperEmployment since 2005

🏛️King Abdullah University of Science and Technology (KAUST)Thuwal · Saudi Arabia2012–2017Education 2012–2017 · PhD Student, Computer Science

🎓Stanford UniversityStanford · United States2009–2011Education 2009–2011 · M.S. Electrical Engineering, Electrical Engineering🎓University of Nebraska–LincolnLincoln · United States2000–2005Education 2000–2005 · B.S. Computer Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. PaliGemma: A versatile 3B VLM for transfer (2024 · 142 citations)
   The paper targets a practical need: a compact, openly available vision-language model that works as a general base and can be fine-tuned to many downstream tasks.
2. SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features (2025 · 126 citations)
   SigLIP 2 is Google DeepMind's second generation of open image-text encoders. CLIP-style models do well at zero-shot classification and retrieval, but they are weaker at localization and dense per-patch features. Earlier open checkpoints also rarely combine recent training advances. The authors merge several…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Scaling Vision Transformers to 22 Billion Parameters ↗arXiv:2302.05442 · no summary yetMostafa Dehghani et al.2023 · 217 citations
2. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
3. SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense FeaturesarXiv:2502.14786Michael Tschannen, Alexey Gritsenko, Xiao Wang, et al.2025 · 126 citations
4. PaLI-X: On Scaling up a Multilingual Vision and Language Model ↗arXiv (Cornell University) · no summary yetChen, Xi et al.2023 · 110 citations
5. On Scaling Up a Multilingual Vision and Language Model ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXi Chen et al.2024 · 59 citations

🤝 Co-authors here

12 co-authors with a page, the most papers together first.

• Lucas Beyer ×2
• Michael Tschannen ×2
• Xiao Wang ×2
• Alexander Kolesnikov
• Andre Susano Pinto
• Basil Mustafa
• Daniel Keysers
• Daniel Salz
• Emanuele Bugliarello
• Maxim Neumann
• Thomas Unterthiner
• Ye Xia

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

🔗 Cited by

Papers of our library cite their works 416 times (of the 149,439 papers whose bibliographies we read); 81 citing papers with a page here →.

Updated 2 November 2026

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