Full Papers
Original research submissions to the Applications, Algorithms, or Evaluations & Datasets tracks, evaluated based on track-specific criteria including systems-level innovation, algorithmic novelty, and evaluation rigor.
AI/CORE A
WACV 2027
IEEE/CVF Winter Conference on Applications of Computer Vision
The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027 is a premier international event that brings together researchers from academia, industry, and government to share innovations in computer vision applications and algorithms. The conference features a main conference with three submission tracks—Applications, Algorithms, and Evaluations & Datasets—along with co-located workshops and tutorials, all emphasizing practical impact and scientific rigor.
Key deadlines
Verified September 9, 2026Abstract registration
August 22, 2026
AoE
Full paper
August 29, 2026
AoE
Conference timeline
Submission and decisions
Abstract registrationKey deadline
August 22, 2026 · AoE
Full paperKey deadline
August 29, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Tutorial Proposals
Proposals for half-day or full-day educational tutorials, submitted in PDF format, covering a specific computer vision topic with course outline, target audience, and presenter credentials.
Workshop Proposals
Proposals for workshops to be held on January 4–5, 2027, focusing on computer vision topics, interdisciplinary themes, or community-building, with a requirement to manage a technical program and issue a call for papers if applicable.
Research areas in scope
01
Applications Track
AgricultureAnimals and InsectsArts, games, and social mediaAutonomous drivingBiomedical, healthcare, and medicineCommercial and retailEducationEmbedded sensing and real-time techniquesEnvironmental monitoring, climate change, and ecologyFood science and nutritionPsychology and cognitive scienceRemote sensingRoboticsSmartphones and end-user devicesSocial goodStructural engineering and civil engineeringVirtual and augmented realityVisualization
02
Algorithms Track
3D computer visionAdversarial learning, adversarial attack, and defense methodsBiometrics, face, gesture, and body poseComputational photographyGenerative models for image, video, 3D, etc.Explainable, fair, accountable, privacy-preserving, and ethical computer visionImage recognition and understanding (object detection, categorization, segmentation, scene modeling, visual reasoning)Low-level and physics-based visionMachine learning architectures, formulations, and algorithms (including transfer, low-shot, semi-, self-, and unsupervised learning)Video recognition and understanding (tracking, action recognition, etc.)Vision + language and/or other modalitiesFoundation models for downstream vision tasks
03
Evaluations & Datasets Track
Analysis of strengths, limitations, or failure modes of existing benchmarks or evaluation practicesStudy benchmark saturation or overfitting and their impact on scientific conclusionsCompare evaluation designs and demonstrate how different assumptions lead to different results or conclusionsProvide rigorous reproduction, auditing, and stress-testing of prior evaluationsPropose new evaluation protocols, practices, or methodologiesConduct human- or interaction-centered evaluations (e.g., user studies, red-teaming)Introduce datasets and clearly explain their scope, assumptions, limitations, and how they are intended to support or shape evaluative claims across the computer vision lifecycleContribute tools, analyses, or frameworks that improve how evaluative claims are constructed or interpretedPresent negative results, critical analyses, and use-case-inspired evaluationsNew datasets and dataset collectionsAudits of existing datasetsBenchmarks on new or existing datasets, benchmarking tools, and methodologiesSystematic analyses of systems on novel datasets
Policies worth checking twice
- All submissions must be made electronically through OpenReview.
- Papers must follow the WACV 2027 Author Guidelines and use the official Author Kit templates.
- Submissions must be original and not under review elsewhere (dual submission prohibited).
- Authors must disclose the use of large language models (LLMs) in accordance with the Author Guidelines.
- Camera-ready submissions for all rounds are due November 2, 2026.
- Workshop organizers must ensure all presenters attend in person; virtual workshops are not accommodated.
- Workshop papers may be published in the WACV proceedings, but this must be clearly stated on the workshop website.
- Workshop paper reviews must be conducted via OpenReview (not CMT).
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteWACV 2027 Call for PapersWACV 2027 Call For TutorialsWACV 2027 Call for WorkshopsAuthor Guidelines
Last verified September 9, 2026