RWTH Aachen University
Alexander KolesnikovResearch Scientist · MetaResearcher↗
Researcher
Lucas Beyer
MetaResearch Scientist
Beyer co-created the Vision Transformer, a landmark model that treats an image as a sequence of small patches and helped reshape computer vision.[1] He is also known for unusually rigorous experiments and practical explanations that reveal which parts of modern vision systems actually matter.
Career & education
Current roleMeta2025-presentResearch Scientist
Meta2025-presentPreviously
OpenAI2024-2025Member of Technical Staff
Google DeepMind2023-2024Staff Research Scientist
Google Brain2018-2023Staff Research Scientist
OpenAI2024-2025Google DeepMind2023-2024Google Brain2018-2023Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations151,075As of Nov 1, '26
citations+5,013Since last snapshot, Oct 1, '26
Selected contributions
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
With Alexey Dosovitskiy, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer and others ·The Vision Transformer recognizes images by treating patches like words in a sequence.
References
- An Image Is Worth 16×16 Wordsarxiv.org
The Vision Transformer paper presents image classification by applying a Transformer to a sequence of image patches.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
