Li Fei-Fei
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 0.01%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 87
- Human Pose and Action Recognition 69
- Multimodal Machine Learning Applications 67
- Image Retrieval and Classification Techniques 46
- Advanced Neural Network Applications 34
-
- Domain Adaptation and Few-Shot Learning 47
- Co-authors
- Jia Deng (18 shared papers)Li-Jia Li (26 shared papers)Richard Socher (3 shared papers)Kai Li (3 shared papers)Wei Dong (1 shared paper)Andrej Karpathy (6 shared papers)Jonathan Krause (16 shared papers)Pietro Perona (9 shared papers)
- Journals
- Proceedings of the VLDB Endowment (17 papers)Journal of Vision (16 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)International Journal of Computer Vision (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Li Fei-Fei
400 papers receiving 129.5k citations
Li Fei-Fei's Hit Papers
Peers
Comparison fields: 5 of 233
- Computer Vision and Pattern Recognition 89.5k
- Artificial Intelligence 52.8k
- Media Technology 9.5k
- Health Informatics 806
- Signal Processing 6.8k
Countries citing papers authored by Li Fei-Fei
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
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-authors
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.
All Works
Showing the 20 most-cited of 420 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ImageNet: A large-scale hierarchical image database Hit paper breakdown → | 2009 | 40486 |
| 2 | ImageNet Large Scale Visual Recognition Challenge Hit paper breakdown → | 2015 | 26693 |
| 3 | Perceptual Losses for Real-Time Style Transfer and Super-Resolution Hit paper breakdown → | 2016 | 6552 |
| 4 | Large-Scale Video Classification with Convolutional Neural Networks Hit paper breakdown → | 2014 | 4734 |
| 5 | Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations Hit paper breakdown → | 2017 | 3352 |
| 6 | Deep visual-semantic alignments for generating image descriptions Hit paper breakdown → | 2015 | 3224 |
| 7 | A Bayesian Hierarchical Model for Learning Natural Scene Categories Hit paper breakdown → | 2005 | 2810 |
| 8 | Social LSTM: Human Trajectory Prediction in Crowded Spaces Hit paper breakdown → | 2016 | 2311 |
| 9 | 3D Object Representations for Fine-Grained Categorization Hit paper breakdown → | 2013 | 2234 |
| 10 | One-shot learning of object categories Hit paper breakdown → | 2006 | 2109 |
| 11 | ImageNet: A large-scale hierarchical image database Hit paper breakdown → | 2009 | 1904 |
| 12 | Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories Hit paper breakdown → | 2007 | 1571 |
| 13 | Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words Hit paper breakdown → | 2008 | 1183 |
| 14 | Progressive Neural Architecture Search Hit paper breakdown → | 2018 | 1182 |
| 15 | DeepLog Hit paper breakdown → | 2017 | 1095 |
| 16 | CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Hit paper breakdown → | 2017 | 971 |
| 17 | DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion Hit paper breakdown → | 2019 | 741 |
| 18 | Deep Visual-Semantic Alignments for Generating Image Descriptions Hit paper breakdown → | 2016 | 739 |
| 19 | Image retrieval using scene graphs Hit paper breakdown → | 2015 | 722 |
| 20 | Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Hit paper breakdown → | 2019 | 711 |
About Li Fei-Fei
Li Fei-Fei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Control and Systems Engineering, having authored 420 papers that have together received 134.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (87 papers), Human Pose and Action Recognition (69 papers), Multimodal Machine Learning Applications (67 papers), Domain Adaptation and Few-Shot Learning (47 papers), Image Retrieval and Classification Techniques (46 papers), Data Management and Algorithms (44 papers), Advanced Database Systems and Queries (35 papers) and Advanced Neural Network Applications (34 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89.5k citations), Artificial Intelligence (52.8k citations), Media Technology (9.5k citations), Health Informatics (806 citations) and Signal Processing (6.8k 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, Kai Li, Wei Dong, Andrej Karpathy, Jonathan Krause, Pietro Perona, Michael S. Bernstein and Alexandre Alahi. 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 IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.