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Fei-Fei Li (李飞飞; born 1976) is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter.
Fei-Fei Li is a Sequoia Professor of Computer Science and Co-Director of Stanford HAI. She is a pioneer in deep learning, ImageNet, AI for healthcare, and diversity in STEM and AI.
Li es una de las investigadoras más prolíficas en el campo de la IA. Fue la científica líder e investigadora principal de ImageNet , un conjunto de datos críticos y un proyecto de visión por computadora que dio como resultado la reciente revolución del aprendizaje profundo .
Fei-Fei Li is a Sequoia Professor of Computer Science and Co-Director of Stanford HAI. She is a pioneer in deep learning, ImageNet, AI for healthcare, and diversity in STEM and AI.
L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei. International conference on machine learning, 2304-2313, 2018. 1595: 2018: Novel dataset for fine-grained image categorization: Stanford dogs. A Khosla, N Jayadevaprakash, B Yao, FF Li. Proc. CVPR workshop on fine-grained visual categorization (FGVC) 2 (1), 2011.
Fei-Fei Li is a leading researcher and advocate in machine learning, deep learning, computer vision and AI. She is the inventor of ImageNet, a co-founder of AI4ALL, and a former vice president at Google Cloud.
Fei-Fei Li is a computer science professor at Stanford University and the founding director of the Stanford Institute for Human-Centered AI. She is also the cofounder and chair of AI4ALL, a nonprofit organization that aims to prepare the next generation of AI technologists. Learn more about her TED talk on teaching computers to understand pictures and her book on AI research.
