J
Scholar

Jean-Baptiste Alayrac

Google Scholar ID: _VmflIEAAAAJ
DeepMind, London
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Resume (English only)
Academic Achievements
  • He has published several papers, such as 'Flamingo: a Visual Language Model for Few-Shot Learning' (arXiv, 2022), 'Perceiver IO: A General Architecture for Structured Inputs & Outputs' (ICLR, 2022), and 'Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers' (CVPR, 2021).
Research Experience
  • He works as a Research Scientist at DeepMind. He has given invited talks at several international conferences, including CVPR 2021 and ICCV 2019.
Education
  • He obtained a Master's degree in Mathematics, Machine Learning, and Computer Vision (MVA) from Ecole polytechnique and Telecom ParisTech. His Ph.D. was completed under the supervision of Simon Lacoste-Julien, Ivan Laptev, and Josef Sivic in the Sierra and Willow groups.
Background
  • His work focuses on structured learning from video and natural language. He is currently a Research Scientist at DeepMind.
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