WACV 2027: Dates, Venue, Deadlines & Program Guide
January 4-8, 2027
TL;DR: WACV 2027, the IEEE/CVF Winter Conference on Applications of Computer Vision, runs January 4-8, 2027 at Disney Springs in Lake Buena Vista, Florida. Workshops and tutorials fill January 4-5.
TL;DR: WACV 2027, the IEEE/CVF Winter Conference on Applications of Computer Vision, runs January 4-8, 2027 at Disney Springs in Lake Buena Vista, Florida. Workshops and tutorials fill January 4-5. The main conference is January 6-8. Submissions split three ways: Applications, Algorithms, and Evaluations & Datasets. Registration pricing and keynote speakers are not yet published (checked 2026-08-24, wacv.thecvf.com/Conferences/2027).
I track AI and software conferences the same way I track AI tool deals: as early signals for where the field is going. Most computer vision events chase either the biggest keynote name or a pile of incremental algorithm papers. WACV built its reputation doing something different. Every submission lands in a track that asks whether the work holds up outside a benchmark leaderboard.
That single structural choice is the load-bearing reason to care about WACV 2027. And the Evaluations & Datasets track is the sharpest expression of it. Half the benchmarks that justify a model choice today would fail an honest audit of the data those models trained and tested on. WACV built a formal venue for that audit.
WACV 2027’s three tracks are a live signal about the field
WACV 2027 is the IEEE/CVF Winter Conference on Applications of Computer Vision, positioned as the applications-and-systems sibling to CVPR. Where CVPR skews toward algorithmic novelty at massive scale, WACV rewards work that proves out in real deployment. Agriculture, autonomous driving, biomedical imaging, robotics, and environmental monitoring are the named application domains.
The three-track submission model is what makes the conference worth a plane ticket. The Applications track covers vision systems with measurable real-world impact, scored on whether the system works in deployment. The Algorithms track handles traditional CV research: 3D vision, object detection, segmentation, video understanding, and foundation models adapted for downstream vision. The Evaluations & Datasets track explicitly welcomes analysis of failure modes in existing benchmarks alongside new dataset releases.
I get pitched CV models every week that top a leaderboard by half a point. What I rarely see is anyone stress-testing the leaderboard itself. A formal peer-reviewed track for exactly that work is the structural signal.
WACV 2027 runs Jan 4-8 at Disney Springs, Orlando
WACV 2027 lands January 4-8, 2027 at Disney Springs in Lake Buena Vista, Florida, inside the Orlando metro area. Workshops and tutorials run January 4-5. The main conference is January 6-8.
Orlando International Airport (MCO) handles the volume of a major tourism hub, so flight pricing stays competitive. Early January puts the conference right after the December holiday travel crunch, which helps.
One honest note: the official site had not published a specific hotel name or exact street address within Disney Springs as of 2026-08-24. If you book travel now, keep the flight cancellable and hold off on a non-refundable hotel booking until the venue page publishes property details.
Quick facts:
| Detail | Confirmed for WACV 2027 |
|---|---|
| Event | IEEE/CVF Winter Conference on Applications of Computer Vision |
| Dates | January 4-8, 2027 |
| Workshops / tutorials | January 4-5, 2027 |
| Main conference | January 6-8, 2027 |
| Venue | Disney Springs, Lake Buena Vista, FL |
| Organizer | IEEE Computer Society / Computer Vision Foundation (CVF) |
| Submission tracks | Applications; Algorithms; Evaluations & Datasets |
| Official site | wacv.thecvf.com/Conferences/2027 |
Who WACV 2027 is actually built for
WACV is built for people doing hands-on computer vision work, not executives looking for a high-level AI trend overview. The three-track split pulls in a specific mix.
Applied ML engineers building vision products get the sharpest fit. The Applications track scores real-world systems impact, not benchmark leaderboard position. If you ship crop-disease detection or biomedical segmentation, the reviewers here are calibrated to the right bar.
CV researchers submitting to the Algorithms track get peer feedback from a program committee organized around 3D vision, detection, segmentation, and foundation model adaptation. Dataset and benchmark specialists get one of the only formal academic venues explicitly built for publishing benchmark failure-mode analysis. And PhD students weighing WACV against CVPR or ICCV land at a lower-cost venue with a friendlier acceptance bar for applications-focused work.
The honest caveat: if you want the single highest-prestige venue for a purely theoretical algorithms paper, CVPR or NeurIPS still weigh more in tenure committees. WACV’s applications-first framing is a feature for practitioners and a limitation if raw novelty is your only metric.
WACV 2027’s chairs are locked; keynotes are not
The 2027 organizing committee is led by General Chairs Vishal Patel (Johns Hopkins University) and Sudeep Sarkar (University of South Florida). The five-person Program Chair team is Christopher Funk (Kitware), Karthik Nandakumar (Michigan State), Roni Sengupta (UNC), Chenyu You (Stony Brook), and Yuyin Zhou (UC Santa Cruz).
Beyond the chairs, the committee splits into specialized roles that reflect the conference’s structure: Tutorial Chairs Shuowen Hu (DEVCOM Army Research Laboratory) and Benjamin Riggan (UNL); Workshop Chairs Scott McCloskey (Kitware) and Vibashan VS (Wayve AI); Doctoral Consortium Chairs Ehsan Azimi (Arizona), Yaoyao Liu (UIUC), and Cihang Xie (UC Santa Cruz).
Keynote speakers had not been announced as of 2026-08-24. That is normal this far out. WACV keynote announcements typically land closer to the conference date, well after the paper review cycle wraps in October 2026. Any article claiming a confirmed 2027 keynote lineup right now is guessing.
The submission timeline is the only date that forces a decision now
Registration pricing is unpublished and the keynote is unpublished, but the deadlines are locked. The whole WACV 2027 planning question comes down to the two-round submission cycle.
| Milestone | Round 1 | Round 2 |
|---|---|---|
| Paper enrollment | June 19, 2026 | August 21, 2026 |
| Paper submission | June 26, 2026 | August 28, 2026 |
| Supplementary material | June 28, 2026 | August 30, 2026 |
| Reviews to authors | August 7, 2026 | October 9, 2026 |
| Rebuttal / revision | August 21, 2026 | none (Round 2 has no rebuttal) |
| Final decisions | October 9, 2026 | October 9, 2026 |
| Camera-ready | November 2, 2026 | November 2, 2026 |
(All deadlines Anywhere on Earth, per wacv.thecvf.com/Conferences/2027/CallForPapers, checked 2026-08-24.)
Round 2 gives you no rebuttal stage. So if you want any chance to argue back against reviewers, you submit in Round 1. Both rounds converge on the same October 9 final-decision date and the same November 2 camera-ready deadline, meaning a Round 2 acceptance leaves you a very tight turnaround. Papers route through OpenReview. The LaTeX and Word templates are listed as “to be provided” on the current site, so do not grab a random old .sty file.
WACV 2026 pricing is the only planning number that exists
Here I have to be straight instead of guessing. The official WACV 2027 site says “registration information will appear here” and has not published fees as of 2026-08-24. Anyone quoting you a specific 2027 registration price today is speculating.
For context, WACV 2026 in Tucson charged $700 in-person early for IEEE/CVF members and $900 for non-members, with student rates around $475 to $525 and virtual access at roughly $175 to $200 (checked 2026-08-24, wacv2026.thecvf.com/attend/registration). Treat that as a planning benchmark, not a forecast.
There is no StackVerdict-specific discount code for WACV 2027 and I am not going to invent one. Standard IEEE/CVF conferences run member versus non-member pricing rather than partner promo codes. Join IEEE or CVF before you register if you attend more than one of their conferences a year. The membership fee usually pays for itself in savings.
My honest submit-or-skip framing
Submit to the Applications or Evaluations & Datasets tracks if your work would get a fairer read there than at a pure-algorithms venue. Plan to attend if you build production vision systems and want to see what the CV research community is validating before it shows up in commercial tools. Hold off on booking non-refundable travel until pricing and hotel details post on the official site.
The insight I keep coming back to: a formal peer-reviewed track for benchmark failure-mode analysis is the part most conferences still will not touch. Anyone can publish a new architecture that beats a leaderboard by half a point. Proving the leaderboard was measuring the wrong thing in the first place is rarer and, for anyone shipping vision in production, worth more.
Bookmark the official conference page and check back for pricing and keynote announcements before booking travel. If you want a heads-up when they drop, subscribe for AI event alerts, or check the AI tools I have actually tested for the current commercial state of computer vision.