Li Fei-Fei

Princeton University, Princeton, NJ 
Natural Scene Perception, Object Recognition
"Li Fei-Fei"
Mean distance: 13.24 (cluster 23)


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Christof Koch grad student 2000-2005 Caltech
Pietro Perona grad student 2000-2005 Caltech


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Justin Johnson grad student (Computer Science Tree)
Eamon Caddigan grad student 2006-2012 UIUC
Olga Russakovsky grad student 2015 Stanford
Christopher A. Baldassano grad student 2009-2015 Stanford
Marius Cătălin Iordan grad student 2010-2016
Danfei Xu grad student 2015-2021 Stanford (Computer Science Tree)
Ranjay Krishna grad student 2016-2021 Stanford
Michelle R. Greene post-doc Stanford
Ruohan Zhang post-doc Stanford
Dirk B. Walther post-doc 2006-2010 UIUC
Lamberto Ballan post-doc 2014-2016 Stanford (E-Tree)
Alexandre Alahi post-doc 2013-2017 Stanford


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Dirk B. Walther collaborator 2006- UIUC
BETA: Related publications


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Krishna R, Lee D, Fei-Fei L, et al. (2022) Socially situated artificial intelligence enables learning from human interaction. Proceedings of the National Academy of Sciences of the United States of America. 119: e2115730119
Gupta A, Savarese S, Ganguli S, et al. (2021) Embodied intelligence via learning and evolution. Nature Communications. 12: 5721
Singh A, Haque A, Alahi A, et al. (2020) Automatic detection of hand hygiene using computer vision technology. Journal of the American Medical Informatics Association : Jamia
Lee MA, Zhu Y, Zachares P, et al. (2020) Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Ieee Transactions On Robotics. 36: 582-596
Chen VS, Varma P, Krishna R, et al. (2019) Scene Graph Prediction with Limited Labels. Proceedings. Ieee International Conference On Computer Vision. 2019: 2580-2590
Yeung S, Rinaldo F, Jopling J, et al. (2019) A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. Npj Digital Medicine. 2: 11
Fang K, Zhu Y, Garg A, et al. (2019) Learning task-oriented grasping for tool manipulation from simulated self-supervision The International Journal of Robotics Research. 39: 202-216
Varma M, Lu M, Gardner R, et al. (2019) Automated abnormality detection in lower extremity radiographs using deep learning Nature Machine Intelligence. 1: 578-583
Groen II, Greene MR, Baldassano C, et al. (2018) Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior. Elife. 7
Groen II, Greene MR, Baldassano C, et al. (2018) Author response: Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior Elife
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