The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 36th BMVC will now be an in-person event from 24th—27th November 2025 in Sheffield, UK.

Authors are invited to submit high-quality papers in image processing, computer vision, machine learning and related areas for BMVC 2025. Submitted papers will be refereed on originality, presentation, empirical results, and evaluation quality. Accepted papers will be included in the conference proceedings published and DOI-indexed by BMVA. Past proceedings are online at the BMVA proceedings website.

Please note that BMVC is a single-track meeting with oral and poster presentations. The paper submission deadline will be on the 16th of May 2025. Submitted papers should not exceed NINE pages (references are excluded), and appendices should be submitted via the supplementary information. You can find further information in the Author Guidelines and Submit your Paper pages.

The submission portal will be available from late-April, 2025.

Topics include, but are not limited to:

    3D from X
    3D Shape modeling and processing
    Action and event understanding
    Adversarial attack and defense
    Architecture and Space Design
    Biometrics
    Brave new ideas (not beating SOA but a new appraoch, theory, niche)
    Computational Photography and Photogrammetry
    Computer vision theory
    Datasets and Evaluation
    Deep learning architectures and techniques
    Document analysis and understanding
    Embodied vision: Active agents; simulation
    Explainable AI
    Fairness, privacy, ethics, social-good, transparency, accountability in vision
    Generative models
    Humans: Face, Gestures, Pose and Body Movement
    Human-in-the-loop computer vision
    Image Retrieval
    Low-level and Physics-based Vision
    Machine learning (other than deep learning)
    Medical and Biological Image Analysis
    Motion estimation and tracking
    Multimodal learning
    Recognition for X
    Representation Learning
    RGBD sensors and analytics
    Scene Analysis and Understanding
    Segmentation, grouping and shape analysis
    Self-, semi-, meta-, unsupervised learning
    Transfer, low-shot, continual, long-tail learning
    Video analysis and Understanding
    Vision and audio
    Vision and graphics
    Vision and language
    Vision and robotics
    Vision applications and systems
    Visual reasoning and logical representation

Papers submitted under the “Brave new ideas” subject area are expected to move away from incremental benchmark gains. Proposed ideas should radically differ from the current research strand or propose a novel problem.