Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

ECCV: European Conference on Computer Vision — papers and institutions, 2024–2026

Papers of ECCV, European 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. Also as Markdown.

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Key findings#

  • ECCV (European Conference on Computer Vision) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 4,301 of its papers from 2024–2026 (1,962 in 2024, 2 in 2025, 2,337 in 2026).
  • By the countries of the authors' institutions, the most papers come from China (2,078), the United States (1,115) and South Korea (439).
  • The institutions with the most papers are Tsinghua University (254), Zhejiang University (208) and Shanghai Jiao Tong University (192).
  • Its most-cited paper of these years is “YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information” (2024), with 4,836 citations.

Papers per year#

ECCV papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20241,9621,936
202522
20262,3372,320

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S106296714Papers of the volumes titled “Computer Vision – ECCV <year>” (LNCS), found by DOI through Crossref

Who publishes there#

Institutions with the most ECCV papers, 2024–2026
#InstitutionPapers
1Tsinghua University254
2Zhejiang University208
3Shanghai Jiao Tong University192
4Chinese Academy of Sciences169
5Peking University166
6Hong Kong University of Science and Technology141
7Nanyang Technological University140
8University of Chinese Academy of Sciences130
9University of Science and Technology of China126
10Shanghai Artificial Intelligence Laboratory126
Countries with the most ECCV papers, 2024–2026
#CountryPapers
1China2,078
2United States1,115
3South Korea439
4Hong Kong414
5United Kingdom278
6Singapore273
7Germany259
8Australia203
9Switzerland140
10Canada135
Keywords with the most ECCV papers, 2024–2026
#KeywordPapers
1vision-language models351
2diffusion models346
33D Gaussian Splatting219
4multimodal large language models207
5CLIP120
6autonomous driving120
7text-to-image generation114
8self-supervised learning111
9novel view synthesis110
10knowledge distillation108

Most-cited papers#

Most-cited ECCV papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
14,836YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information2024-10-25Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
22,082Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection2024-11-22Shilong Liu, Zhaoyang Zeng, Tianhe Ren et al.
3712MambaIR: A Simple Baseline for Image Restoration with State-Space Model2024-09-29Hang Guo, Jinmin Li, Tao Dai et al.
4688MobileNetV4: Universal Models for the Mobile Ecosystem2024-11-09Danfeng Qin, Chas Leichner, Manolis Delakis et al.
5488MMBench: Is Your Multi-modal Model an All-Around Player?2024-10-01Yuan Liu, Haodong Duan, Yuanhan Zhang et al.
6339VideoMamba: State Space Model for Efficient Video Understanding2024-10-28Kunchang Li, Xinhao Li, Yi Wang et al.
7313Grounding Image Matching in 3D with MASt3R2024-11-02Vincent Leroy, Yohann Cabon, Jérôme Revaud
8279DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior2024-11-20Xinqi Lin, Jingwen He, Ziyan Chen et al.
9257Adversarial Diffusion Distillation2024-10-25Axel Sauer, Dominik Lorenz, Andreas Blattmann et al.
10255DriveLM: Driving with Graph Visual Question Answering2024-11-28Chonghao Sima, Katrin Renz, Kashyap Chitta et al.

Conferences in the same field#

AAAI · CVPR · IJCAI · ACMMM · ICCV · SIGGRAPH Asia · SIGGRAPH · MICCAI · WACV · ICME · ECAI · MMSys

Cite this page

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

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

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