# Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/visual-genome-connecting-language-and-vision-using-crowdsourced-dense-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ranjay Krishna,Yuke Zhu,Oliver Groth,Justin Johnson,Kenji Hata,Joshua Kravitz,Stephanie Chen,Yannis Kalantidis,Li-Jia Li,David A. Shamma,Michael S. Bernstein,Li Fei-Fei |
| Citations | 5,247 |
| DOI | 10.1007/s11263-016-0981-7 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007%2Fs11263-016-0981-7.pdf |
| OpenAlex ID | https://openalex.org/W2277195237 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)

## Paper primary topic

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

## Paper topics

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

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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.