# Li Fei-Fei

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/li-fei-fei/

## Facts

| Field | Value |
| --- | --- |
| Citations | 222,041 |
| Field | Multimodal Machine Learning Applications |
| h-index | 137 |
| i10-index | 432 |
| Last Known Institution | Beijing Union University |
| OpenAlex ID | https://openalex.org/A5100450462 |
| ORCID iD | 0000-0002-7481-0810 |
| Works | 753 |

## Researcher papers

Showing 12 of 21.

- [ImageNet: A large-scale hierarchical image database](https://scholariq.org/papers/imagenet-a-large-scale-hierarchical-image-database/)
- [ImageNet Large Scale Visual Recognition Challenge](https://scholariq.org/papers/imagenet-large-scale-visual-recognition-challenge/)
- [Perceptual Losses for Real-Time Style Transfer and Super-Resolution](https://scholariq.org/papers/perceptual-losses-for-real-time-style-transfer-and-super-resolution/)
- [Large-Scale Video Classification with Convolutional Neural Networks](https://scholariq.org/papers/large-scale-video-classification-with-convolutional-neural-networks/)
- [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://scholariq.org/papers/visual-genome-connecting-language-and-vision-using-crowdsourced-dense-image/)
- [Deep visual-semantic alignments for generating image descriptions](https://scholariq.org/papers/deep-visual-semantic-alignments-for-generating-image-descriptions/)
- [A Bayesian Hierarchical Model for Learning Natural Scene Categories](https://scholariq.org/papers/a-bayesian-hierarchical-model-for-learning-natural-scene-categories/)
- [Social LSTM: Human Trajectory Prediction in Crowded Spaces](https://scholariq.org/papers/social-lstm-human-trajectory-prediction-in-crowded-spaces/)
- [3D Object Representations for Fine-Grained Categorization](https://scholariq.org/papers/3d-object-representations-for-fine-grained-categorization/)
- [One-shot learning of object categories](https://scholariq.org/papers/one-shot-learning-of-object-categories/)
- [End-to-End Learning of Action Detection from Frame Glimpses in Videos](https://scholariq.org/papers/end-to-end-learning-of-action-detection-from-frame-glimpses-in-videos/)
- [Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States](https://scholariq.org/papers/using-deep-learning-and-google-street-view-to-estimate-the-demographic-makeup-of/)

## Researcher topics

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)

## Researcher university

- [Beijing Union University](https://scholariq.org/institutions/beijing-union-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.