WACV 2027

Deadlines
Computer Vision/CORE Unranked

WACV 2027

The IEEE/CVF Winter Conference on Applications of Computer Vision Tutorials 2027

1799064000000Orlando, FLOfficial conference site Site reachable

The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027 is a premier international event focused on practical applications and innovative algorithms in computer vision. It features a main conference, co-located workshops, and tutorials, offering a high-quality, low-cost platform for students, academics, and industry researchers to share advancements in vision systems and methodologies.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

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.

Tutorial Proposals

Proposals for half-day or full-day educational tutorials, submitted in PDF format, covering comprehensive overviews of specific computer vision topics with target audience, outline, 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 the technical program, invite speakers, and publish accepted 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 include an AI-use statement as specified in the Author Guidelines.
  • Camera-ready papers for all rounds are due on November 2nd, 2026.
  • Workshop papers that are to be published in the proceedings must meet the camera-ready deadline of November 20th, 2026.
  • All workshop organizers and presenters must participate in person; virtual workshops are not accommodated.
  • Tutorial proposals must not exceed three pages (excluding biographies).

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026