---
title: "WACV (A): papers and universities"
description: "WACV (IEEE Workshop on Applications of Computer Vision) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,632 of its papers from 2024–2026 (852 in 2024, 940 in 2025, 840 in 2026). By the countries of the authors' institutions, the most papers come from the United States (916), China (261) and South Korea (248)."
url: https://scholar4ai.com/proceedings/wacv
markdown_url: https://scholar4ai.com/proceedings/wacv.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "WACV (IEEE Workshop on Applications of Computer Vision) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,632 of its papers from 2024–2026 (852 in 2024, 940 in 2025, 840 in 2026). (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)
---

# WACV: IEEE Workshop on Applications of Computer Vision — papers and institutions, 2024–2026

Papers of WACV, IEEE Workshop on Applications of 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

- WACV (IEEE Workshop on Applications of Computer Vision) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,632 of its papers from 2024–2026 (852 in 2024, 940 in 2025, 840 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (916), China (261) and South Korea (248).
- The institutions with the most papers are Korea Advanced Institute of Science and Technology (51), Johns Hopkins University (44) and Carnegie Mellon University (44).
- Its most-cited paper of these years is “EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies” (2024), with 405 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 852 | 812 |
| 2025 | 940 | 892 |
| 2026 | 840 | 801 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4393918690](https://openalex.org/S4393918690) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | Korea Advanced Institute of Science and Technology | 51 |
| 2 | Johns Hopkins University | 44 |
| 3 | Carnegie Mellon University | 44 |
| 4 | Amazon (United States) | 43 |
| 5 | Technical University of Munich | 41 |
| 6 | Adobe Systems (United States) | 38 |
| 7 | [Seoul National University](https://scholar4ai.com/institutions/seoul-national-university.md) | 38 |
| 8 | ETH Zurich | 36 |
| 9 | Arizona State University | 36 |
| 10 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 34 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 916 |
| 2 | China | 261 |
| 3 | South Korea | 248 |
| 4 | Germany | 215 |
| 5 | India | 199 |
| 6 | United Kingdom | 176 |
| 7 | Japan | 154 |
| 8 | Australia | 122 |
| 9 | Canada | 111 |
| 10 | France | 93 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | diffusion models | 185 |
| 2 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 161 |
| 3 | semantic segmentation | 87 |
| 4 | CLIP | 83 |
| 5 | object detection | 83 |
| 6 | self-supervised learning | 83 |
| 7 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 76 |
| 8 | vision transformer | 75 |
| 9 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 72 |
| 10 | image classification | 70 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 405 | [EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies](https://doi.org/10.1109/wacv57701.2024.00020) | 2024-01-03 | Kilian Batzner, Lars Heckler, Rebecca König |
| 2 | 274 | [Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation](https://doi.org/10.1109/wacv57701.2024.00132) | 2024-01-03 | Reza Azad, Leon Niggemeier, Michael Hüttemann et al. |
| 3 | 225 | [MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation](https://doi.org/10.1109/wacv57701.2024.00780) | 2024-01-03 | Nhat-Tan Bui, Dinh-Hieu Hoang, Thuc Nguyen-Quang et al. |
| 4 | 178 | [MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network](https://doi.org/10.1109/wacv57701.2024.00677) | 2024-01-03 | Soroush Mehraban, Vida Adeli, Babak Taati |
| 5 | 171 | [Training-Free Layout Control with Cross-Attention Guidance](https://doi.org/10.1109/wacv57701.2024.00526) | 2024-01-03 | Minghao Chen, Iro Laina, Andrea Vedaldi |
| 6 | 151 | [RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection](https://doi.org/10.1109/wacv57701.2024.00474) | 2024-01-03 | Fengyi Wu, Tianfang Zhang, Lei Li et al. |
| 7 | 144 | [Common Diffusion Noise Schedules and Sample Steps are Flawed](https://doi.org/10.1109/wacv57701.2024.00532) | 2024-01-03 | Shanchuan Lin, Bingchen Liu, Jiashi Li et al. |
| 8 | 141 | [Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation](https://doi.org/10.1109/wacv57701.2024.00502) | 2024-01-03 | Michał Stypułkowski, Konstantinos Vougioukas, Sen He et al. |
| 9 | 134 | [SpectFormer: Frequency and Attention is what you need in a Vision Transformer](https://doi.org/10.1109/wacv61041.2025.00924) | 2025-02-26 | Badri N. Patro, Vinay P. Namboodiri, Vijay Srinivas Agneeswaran |
| 10 | 130 | [G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation](https://doi.org/10.1109/wacv57701.2024.00755) | 2024-01-03 | Md Mostafijur Rahman, Radu Mărculescu |

## Cite this page

Scholar4AI. (2026). WACV: IEEE Workshop on Applications of Computer Vision — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/wacv

```bibtex
@misc{scholar4ai-proceedings-wacv,
  author = {{Scholar4AI}},
  title = {WACV: IEEE Workshop on Applications of Computer Vision — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/wacv}},
  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/).