---
title: "CVPR (A*): papers and universities"
description: "CVPR (IEEE Conference on Computer Vision and Pattern Recognition) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 5,600 of its papers from 2024–2026 (2,724 in 2024, 2,876 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from China (2,904), the United States (1,687) and Hong Kong (478)."
url: https://scholar4ai.com/proceedings/cvpr
markdown_url: https://scholar4ai.com/proceedings/cvpr.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "CVPR (IEEE Conference on Computer Vision and Pattern Recognition) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 5,600 of its papers from 2024–2026 (2,724 in 2024, 2,876 in 2025; 2026 not in… (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# CVPR: IEEE Conference on Computer Vision and Pattern Recognition — papers and institutions, 2024–2026

Papers of CVPR, IEEE Conference on Computer Vision and Pattern Recognition (CORE rank A*; field: Computer vision and multimedia computation), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- CVPR (IEEE Conference on Computer Vision and Pattern Recognition) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 5,600 of its papers from 2024–2026 (2,724 in 2024, 2,876 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from China (2,904), the United States (1,687) and Hong Kong (478).
- The institutions with the most papers are Tsinghua University (326), Zhejiang University (255) and Shanghai Jiao Tong University (229).
- Its most-cited paper of these years is “DETRs Beat YOLOs on Real-time Object Detection” (2024), with 5,020 citations.

## Papers per year

*CVPR papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 2,724 | 2,662 |
| 2025 | 2,876 | 2,826 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4210176548](https://openalex.org/S4210176548) | The conference's proceedings |

## Who publishes there

*Institutions with the most CVPR papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 326 |
| 2 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 255 |
| 3 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 229 |
| 4 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 221 |
| 5 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 194 |
| 6 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 187 |
| 7 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 165 |
| 8 | Chinese University of Hong Kong | 154 |
| 9 | Shanghai Artificial Intelligence Laboratory | 152 |
| 10 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 150 |

*Countries with the most CVPR papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 2,904 |
| 2 | United States | 1,687 |
| 3 | Hong Kong | 478 |
| 4 | United Kingdom | 417 |
| 5 | Singapore | 394 |
| 6 | South Korea | 378 |
| 7 | Germany | 281 |
| 8 | Australia | 223 |
| 9 | Switzerland | 166 |
| 10 | Japan | 129 |

*Keywords with the most CVPR papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | diffusion models | 518 |
| 2 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 346 |
| 3 | 3D Gaussian Splatting | 231 |
| 4 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 199 |
| 5 | CLIP | 192 |
| 6 | multimodal large language models | 176 |
| 7 | text-to-image generation | 172 |
| 8 | novel view synthesis | 148 |
| 9 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 140 |
| 10 | self-supervised learning | 138 |

## Most-cited papers

*Most-cited CVPR papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 5,020 | [DETRs Beat YOLOs on Real-time Object Detection](https://doi.org/10.1109/cvpr52733.2024.01605) | 2024-06-16 | Y. Zhao, Wenyu Lv, Shangliang Xu et al. |
| 2 | 1,738 | [Improved Baselines with Visual Instruction Tuning](https://doi.org/10.1109/cvpr52733.2024.02484) | 2024-06-16 | Haotian Liu, Chunyuan Li, Yuheng Li et al. |
| 3 | 1,299 | [Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data](https://doi.org/10.1109/cvpr52733.2024.00987) | 2024-06-16 | Lihe Yang, Bingyi Kang, Zilong Huang et al. |
| 4 | 840 | [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://doi.org/10.1109/cvpr52733.2024.01920) | 2024-06-16 | Guanjun Wu, Taoran Yi, Jiemin Fang et al. |
| 5 | 818 | [YOLO-World: Real-Time Open-Vocabulary Object Detection](https://doi.org/10.1109/cvpr52733.2024.01599) | 2024-06-16 | Tianheng Cheng, Lin Song, Yixiao Ge et al. |
| 6 | 755 | [Rep ViT: Revisiting Mobile CNN From ViT Perspective](https://doi.org/10.1109/cvpr52733.2024.01506) | 2024-06-16 | Ao Wang, Hui Chen, Zijia Lin et al. |
| 7 | 736 | [Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks](https://doi.org/10.1109/cvpr52733.2024.02283) | 2024-06-16 | Zhe Chen, Jiannan Wu, Wenhai Wang et al. |
| 8 | 698 | [Point Transformer V3: Simpler, Faster, Stronger](https://doi.org/10.1109/cvpr52733.2024.00463) | 2024-06-16 | Xiaoyang Wu, Li Jiang, Peng‐Shuai Wang et al. |
| 9 | 635 | [Rewrite the Stars](https://doi.org/10.1109/cvpr52733.2024.00544) | 2024-06-16 | Xu Ma, Xiyang Dai, Yue Bai et al. |
| 10 | 602 | [DUSt3R: Geometric 3D Vision Made Easy](https://doi.org/10.1109/cvpr52733.2024.01956) | 2024-06-16 | Shuzhe Wang, Vincent Leroy, Yohann Cabon et al. |

## Cite this page

Scholar4AI. (2026). CVPR: IEEE Conference on Computer Vision and Pattern Recognition — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/cvpr

```bibtex
@misc{scholar4ai-proceedings-cvpr,
  author = {{Scholar4AI}},
  title = {CVPR: IEEE Conference on Computer Vision and Pattern Recognition — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/cvpr}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).