---
title: "ICCV (A*): papers and universities"
description: "ICCV (IEEE International Conference on Computer Vision) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,709 of its papers from 2024–2026 (2,709 in 2025; 2024 and 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from China (1,524), the United States (655) and Hong Kong (280)."
url: https://scholar4ai.com/proceedings/iccv
markdown_url: https://scholar4ai.com/proceedings/iccv.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ICCV (IEEE International Conference on Computer Vision) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,709 of its papers from 2024–2026 (2,709 in 2025; 2024 and 2026 not in OpenAlex yet). (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)
---

# ICCV: IEEE International Conference on Computer Vision — papers and institutions, 2024–2026

Papers of ICCV, IEEE International Conference on Computer Vision (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

- ICCV (IEEE International Conference on Computer Vision) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,709 of its papers from 2024–2026 (2,709 in 2025; 2024 and 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from China (1,524), the United States (655) and Hong Kong (280).
- The institutions with the most papers are Tsinghua University (167), Zhejiang University (137) and Shanghai Jiao Tong University (131).
- Its most-cited paper of these years is “VACE: All-in-One Video Creation and Editing” (2025), with 69 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | – | – |
| 2025 | 2,709 | 2,659 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4363607764](https://openalex.org/S4363607764) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 167 |
| 2 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 137 |
| 3 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 131 |
| 4 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 103 |
| 5 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 102 |
| 6 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 100 |
| 7 | Shanghai Artificial Intelligence Laboratory | 98 |
| 8 | Chinese University of Hong Kong | 90 |
| 9 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 87 |
| 10 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 84 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 1,524 |
| 2 | United States | 655 |
| 3 | Hong Kong | 280 |
| 4 | South Korea | 207 |
| 5 | Singapore | 205 |
| 6 | United Kingdom | 187 |
| 7 | Germany | 132 |
| 8 | Australia | 87 |
| 9 | Japan | 68 |
| 10 | Switzerland | 59 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | diffusion models | 232 |
| 2 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 199 |
| 3 | 3D Gaussian Splatting | 141 |
| 4 | multimodal large language models | 108 |
| 5 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 88 |
| 6 | image generation | 78 |
| 7 | autonomous driving | 77 |
| 8 | text-to-image generation | 75 |
| 9 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 65 |
| 10 | CLIP | 59 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 69 | [VACE: All-in-One Video Creation and Editing](https://doi.org/10.1109/iccv51701.2025.01597) | 2025-10-19 | Zeyinzi Jiang, Zhen Yu Han, Chaojie Mao et al. |
| 2 | 65 | [YOLOE: Real-Time Seeing Anything](https://doi.org/10.1109/iccv51701.2025.02280) | 2025-10-19 | Ao Wang, Lihao Liu, Hui Chen et al. |
| 3 | 54 | [TerraMind: Large-Scale Generative Multimodality for Earth Observation](https://doi.org/10.1109/iccv51701.2025.00693) | 2025-10-19 | Johannes Jakubik, Felix Yang, Benedikt Blumenstiel et al. |
| 4 | 52 | [LlaVA-CoT: Let Vision Language Models Reason Step-By-Step](https://doi.org/10.1109/iccv51701.2025.00202) | 2025-10-19 | Guowei Xu, Peng Jin, Ziang Wu et al. |
| 5 | 52 | [LLaVA-Prumerge: Adaptive Token Reduction for Efficient Large Multimodal Models](https://doi.org/10.1109/iccv51701.2025.02122) | 2025-10-19 | Yuzhang Shang, Mu Cai, Bingxin Xu et al. |
| 6 | 49 | [Visual-RFT: Visual Reinforcement Fine-Tuning](https://doi.org/10.1109/iccv51701.2025.00197) | 2025-10-19 | Ziyu Liu, Zeyi Sun, Yuhang Zang et al. |
| 7 | 48 | [OminiControl: Minimal and Universal Control for Diffusion Transformer](https://doi.org/10.1109/iccv51701.2025.01386) | 2025-10-19 | Zhenxiong Tan, Songhua Liu, Xingyi Yang et al. |
| 8 | 45 | [WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection](https://doi.org/10.1109/iccv51701.2025.01044) | 2025-10-19 | Haodong Zhu, Wenhao Dong, Linlin Yang et al. |
| 9 | 42 | [CoTracker3: Simpler and Better Point Tracking by Pseudo-Labeling Real Videos](https://doi.org/10.1109/iccv51701.2025.00568) | 2025-10-19 | Nikita Karaev, Yuri Makarov, Jianyuan Wang et al. |
| 10 | 38 | [Recammaster: Camera-Controlled Generative Rendering From a Single Video](https://doi.org/10.1109/iccv51701.2025.01376) | 2025-10-19 | Jianhong Bai, Menghan Xia, Xiao Fu et al. |

## Cite this page

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

```bibtex
@misc{scholar4ai-proceedings-iccv,
  author = {{Scholar4AI}},
  title = {ICCV: IEEE International Conference on Computer Vision — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/iccv}},
  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/).