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WACV: IEEE/CVF Winter Conference on Applications of Computer Vision

WACV 2027 explained: organizers, January 2027 dates, two submission rounds, and how the Applications and Algorithms tracks are reviewed.

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WACV is the IEEE/CVF Winter Conference on Applications of Computer Vision, an annual research conference where computer vision researchers present work on practical applications and algorithms. This page explains who runs it, how its two-round submission process works for the 2027 edition, and how its tracks are reviewed. It is a conference, not a software package.

What WACV is

According to the conference site, WACV “provides a forum for computer vision researchers working on practical applications and innovative algorithms to share their latest developments.” The 2027 edition consists of a main conference plus co-located workshops and tutorials.

Who organizes WACV

The conference site names the IEEE Computer Society and The Computer Vision Foundation (CVF) as its organizing bodies, which is why the name carries both “IEEE” and “CVF”. Accepted papers appear in the WACV Proceedings in the IEEE Computer Society digital library, linked from the conference site.

WACV 2027 dates and location

Item WACV 2027
Conference week Monday, January 4 to Friday, January 8, 2027
Workshops January 4 to 5, 2027
Main conference January 6 to 8, 2027
Location Disney Springs, Buena Vista, Florida

Source: wacv.thecvf.com, read 2026-11-07. Dates and venues change with each edition, so use the official site for any other year.

How the two submission rounds work

The WACV 2027 call for papers runs two separate rounds. In each round, authors first enroll, then submit the paper, then add supplementary material. All submissions are handled electronically through OpenReview. All deadlines are Anywhere on Earth (AoE).

Step Round 1 Round 2
Enrollment June 19, 2026 August 21, 2026
Paper submission June 26, 2026 August 28, 2026
Supplementary material June 28, 2026 August 30, 2026
Reviews and decisions August 7, 2026 (reviews and decisions) October 9, 2026 (reviews and final decisions)
Rebuttal and revision August 28, 2026 Not listed
Final decisions October 9, 2026 October 9, 2026
Camera-ready November 2, 2026 November 2, 2026

Source: WACV 2027 Call for Papers, read 2026-11-07. The Round 1 rebuttal and revision step is the main structural difference: the call lists it only for Round 1.

Tracks and how papers are reviewed

The call states that papers can be submitted to the Evaluation and Datasets, Applications, or Algorithms tracks, which have different review criteria.

  • Applications: evaluated on systems-level innovation, novelty of the domain and comparative assessment.
  • Algorithms: evaluated according to the standard conference criteria, including algorithmic novelty and quantified evaluation against current, alternative approaches.

The call for papers refers authors to its Author Guidelines for submission, ethics and plagiarism rules. Questions go to the WACV Help Desk, and the call asks authors to include their OpenReview ID in any communication.

WACV compared with other computer vision and AI venues

Many authors weigh WACV against CVPR; the CVPR deadline guide covers that conference’s timeline. For machine learning venues see the guides to ICLR, AAAI and IJCAI. A paper in conference proceedings is typically assessed through peer review, and authors often share a preprint alongside it; check each venue’s own policy before doing so.

FAQ

What does WACV stand for?

IEEE/CVF Winter Conference on Applications of Computer Vision.

When and where is WACV 2027?

January 4 to 8, 2027, at Disney Springs, Buena Vista, Florida, with workshops on January 4 to 5 and the main conference on January 6 to 8.

How do I submit a paper to WACV?

Through OpenReview, following one of the two rounds in the call for papers: enroll, submit, then add supplementary material by the listed dates.

What is the difference between the Applications and Algorithms tracks?

Applications papers are judged on systems-level innovation, domain novelty and comparative assessment; Algorithms papers on the standard criteria such as algorithmic novelty and quantified comparison with current approaches.

Sources

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