Li Fei-Fei

217.0k citations

368 papers · 106.7k indexed · 29 hit papers · h-index 93

Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques 73
- Multimodal Machine Learning Applications 57
- Human Pose and Action Recognition 53
- Image Retrieval and Classification Techniques 40
- Advanced Neural Network Applications 26
Artificial Intelligence top 0.01%
- Domain Adaptation and Few-Shot Learning 41
Media Technology top 0.01%
Health Informatics top 0.05%
Signal Processing top 0.02%
- Data Management and Algorithms 42
Computer Networks and Communications
- Advanced Database Systems and Queries 32

Co-authors: Jia Deng Li-Jia Li Richard SocherWei DongKai LiAndrej Karpathy Jonathan Krause Pietro Perona
Cited by: Computer Vision and Pattern Recognition Artificial Intelligence Media Technology
Journals: Proceedings of the VLDB Endowment (17 papers)Journal of Vision (15 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)
Partner nations: United States China Hong Kong

In The Last Decade

Li Fei-Fei

349 papers receiving 102.8k citations

Hit Papers

15 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2022 Nature Machine Intelligence
2019 DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
2019 Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
2018 Image Generation from Scene Graphs
2017 Proceedings of the National Academy of Sciences
2017 CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
2017 DeepLog
2017 International Journal of Computer Vision
2016 Infoscience (Ecole Polytechnique Fédérale de Lausanne)
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence
2015 Fine-grained recognition without part annotations
2015 Image retrieval using scene graphs
2015 Deep visual-semantic alignments for generating image descriptions
2015 International Journal of Computer Vision
2014 Large-scale Video Classiﬁcation with Convolutional Neural Networks
2014 Large-Scale Video Classification with Convolutional Neural Networks
2013 3D Object Representations for Fine-Grained Categorization
2011 Figshare
2011 Human action recognition by learning bases of action attributes and parts
2010 Modeling mutual context of object and human pose in human-object interaction activities
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition
2008 International Journal of Computer Vision
2007 What, where and who? Classifying events by scene and object recognition
2007 Computer Vision and Image Understanding
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence
2005 A Bayesian Hierarchical Model for Learning Natural Scene Categories
2005 Learning object categories from Google's image search

Peers

Countries citing papers authored by Li Fei-Fei

Since Specialization

Citations

This map shows the geographic impact of Li Fei-Fei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Li Fei-Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Fei-Fei more than expected).

Fields of papers citing papers by Li Fei-Fei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Fei-Fei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Li Fei-Fei. The network helps show where Li Fei-Fei may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Li Fei-Fei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Li Fei-Fei Line = papers co-authored together Li Fei-Fei links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision NEJM AI ·Wei Dai,Ehsan Adeli,Jeanette Leigh,Dev Dash,Shrinidhi Kowshika Lakshmikanth,Pan Huashi,Paul C. Tang,Amit Kaushal,Arnold Milstein,Li Fei-Fei,Kevin A. Schulman	2025	2
2	Trajectory of psychological distress and influencing factors in patients with gynecological cancers: a longitudinal study Frontiers in Oncology ·Li Fei-Fei,Jing Xu,Yang He,Shanhong Zhang	2024	1
3	Prediction of anaerobic digestion performance by quantum convolutional reconstruction gated recurrent neural network* Physica Scripta ·Anna Priegnitz,Rebecca Pellerin,Li Fei-Fei,Yumin Dong	2024	0
4	A novel model for the pavement distress segmentation based on multi-level attention DeepLabV3+ Engineering Applications of Artificial Intelligence ·Li Fei-Fei,Jin Huarui,Zeyu Zhang,Quan Liu,Sabina Jeschke	2024	8
5	Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train Jin Huarui,Li Fei-Fei,V.I. Petrochenko,Aleksandar Ristić,Hans Meine,Liliana Caldeira,عبدالرحمن السبت,後藤田進,Susanna Witt,G.P.M. Prause,Stefan Decker,Oya Beyan,Toralf Kirsten	2023	1
6	Cancer Nanobombs Delivering Artoxplatin with a Polyigniter Bearing Hydrophobic Ferrocene Units Upregulate PD‐L1 Expression and Stimulate Stronger Anticancer Immunity Advanced Science ·Yongchao Gao,Hanchen Zhang,Lin Tang,Li Fei-Fei,Yang Li,Haihua Xiao,Johannes Karges,Weihua Huang,Wei Zhang,Chaoyong Liu	2023	23
7	Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering Siddharth Karamcheti,Ranjay Krishna,Li Fei-Fei,Christopher D. Manning	2021	30
8	Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. Kuan Fang,Yuke Zhu,Animesh Garg,Silvio Savarese,Li Fei-Fei	2019	5
9	A new overall quality indicator OQoC and the corresponding context inconsistency elimination algorithm based on OQoC and Dempster–Shafer theory Soft Computing ·Min Chen,Hongji Xu,Hailiang Xiong,Lingling Pan,Carlos Alberto Aray,Li Fei-Fei	2019	9
10	Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Md Rabiul Islam,عمر العرباوي,Serena Yeung,Alysa Ann Alcazar,Jeffrey K. Jopling,N. Lance Downing,Albert Haque,Alexandre Alahi,Luan Haofeng,Kayla Deru,William Beninati,Arnold Milstein,Li Fei-Fei	2017	3
11	Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Albert Haque,Michelle Guo,Alexandre Alahi,Serena Yeung,Zelun Luo,Soutullo Adriana,Jeffrey K. Jopling,N. Lance Downing,William Beninati,Amit Kumar Singh,Terry Platchek,Arnold Milstein,Li Fei-Fei	2017	7
12	Crowdsourcing in Computer Vision Adriana Kovashka,Olga Russakovsky,Li Fei-Fei,Kristen Grauman	2016	43
13	Fast and concurrent RDF queries with RDMA-based distributed graph exploration Operating Systems Design and Implementation ·Jiaxin Shi,В.М. Некрасов,Rong Chen,Haibo Chen,Li Fei-Fei	2016	61
14	Vision-Based Hand Hygiene Monitoring in Hospitals Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Serena Yeung,Alexandre Alahi,Albert Haque,良弘藤瀬,Alaa Mohamed Ismail Abdrabo,Nathália Cortes do Espírito Santo,Terry Platchek,Arnold Milstein,Li Fei-Fei	2016	6
15	Discovering the Signatures of Joint Attention in Child-Caregiver Interaction Cognitive Science ·Hyeongmin Lee,Sandra Mellows,Michael C. Frank,Li Fei-Fei	2014	10
16	3D Object Representations for Fine-Grained Categorizationbreakdown → Jonathan Krause,Michael Stark,Jia Deng,Li Fei-Fei	2013	1932
17	Oddness at a glance: Unraveling the time course of typical and atypical scene perception Journal of Vision ·Maria de Fátima Dias Braga,Mark E. Greene,Li Fei-Fei	2013	1
18	LogKV: Exploiting Key-Value Stores for Log Processing. Conference on Innovative Data Systems Research ·Qiao Shi-rong,Shimin Chen,Li Fei-Fei,Min Wang,Xiaoyang Sean Wang	2013	5
19	Neural Representations of Object Categories at Multiple Taxonomic Levels Journal of Vision ·Pilar Vázquez-Alén,Michelle R. Greene,Diane M. Beck,Li Fei-Fei	2012	1
20	Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions Neural Information Processing Systems ·Bangpeng Yao,Dirk B. Walther,Diane M. Beck,Li Fei-Fei	2009	12

About Li Fei-Fei

Li Fei-Fei is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Signal Processing, having authored 368 papers that have together received 106.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (73 papers), Multimodal Machine Learning Applications (57 papers), Human Pose and Action Recognition (53 papers), Data Management and Algorithms (42 papers), Domain Adaptation and Few-Shot Learning (41 papers), Image Retrieval and Classification Techniques (40 papers), Advanced Database Systems and Queries (32 papers) and Advanced Neural Network Applications (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (69.3k citations), Artificial Intelligence (43.3k citations) and Media Technology (7.1k citations). Li Fei-Fei has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jia Deng, Li-Jia Li, Richard Socher, Wei Dong, Kai Li, Andrej Karpathy, Jonathan Krause, Pietro Perona, Michael S. Bernstein and Olga Russakovsky. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Vision, IEEE Transactions on Knowledge and Data Engineering, International Journal of Computer Vision and NeuroImage.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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