Computing Atlas

How Computing Was Built
Sign In
Text size
100%
Theme
Pioneer

Fei-Fei Li

Also Known As Fei Fei Li · L. Fei-Fei · Li Fei-Fei · Feifei Li
Computing Methodologies

Fei-Fei Li is a Chinese-born American computer scientist best known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/

Facts
Birth Year
1976 1
Birth Date
1976-07-03 1
Nationality
Chinese-born American 1
Connections

Long-Form Articles

In the Other Atlases
Sources
1. Wikipedia: Fei-Fei Li
Wikimedia Foundation
  • Lead section
    Fei-Fei Li ... (born July 3, 1976) is a Chinese-born American computer scientist best known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s.
  • Infobox, Born
    July 3, 1976
  • lede sentence, born-date clause (after the Chinese-script parenthetical)
    born July 3, 1976) is a Chinese-born American computer scientist best known for establishing ImageNet
  • lede sentence, nationality clause (after the Chinese-script parenthetical)
    born July 3, 1976) is a Chinese-born American computer scientist best known for establishing ImageNet
View the Source
Fei-Fei Li (Wikidata)
  • Wikidata alias: Fei Fei Li
    Fei Fei Li
  • Wikidata P166: BBC 100 Women
    Wikidata P166 (award received): BBC 100 Women.
  • Wikidata P166: ACM Fellow
    Wikidata P166 (award received): ACM Fellow.
  • Wikidata P166: Thousand Talents Program
    Wikidata P166 (award received): Thousand Talents Program.
  • Wikidata P166: Queen Elizabeth Prize for Engineering
    Wikidata P166 (award received): Queen Elizabeth Prize for Engineering.
  • Wikidata P166: J. K. Aggarwal Prize
    Wikidata P166 (award received): J. K. Aggarwal Prize.
  • Wikidata alias: L. Fei-Fei
    L. Fei-Fei
  • Wikidata alias: Li Fei-Fei
    Li Fei-Fei
  • Wikidata alias: Feifei Li
    Feifei Li
View the Source
Comments (0)
No comments yet. Be the first to share a thought.
Reader Challenges (0)
No disputes yet. Spotted an error or a better source? Open the first one.