WILD VISION: Reliable and Responsible Computer Vision in the Wild Call for Papers

We are pleased to announce the Call for Papers for:

WILD VISION: Reliable and Responsible Computer Vision in the Wild

a workshop held in conjunction with the British Machine Vision
Conference 2026 (BMVC 2026), taking place in Lancaster, UK.

Workshop website:
https://lnkd.in/eFNyuy3D

Important Dates

    Paper submission deadline: September 27, 2026;

    Camera-ready deadline: October 30, 2026;

    Workshop date: November 26, 2026;

Computer vision has achieved remarkable results on curated
benchmarks. However, its deployment in real-world environments remains
challenging because of distribution shifts, dataset biases, adverse
conditions, sensor variability, domain changes, limited computational
resources, and unpredictable scenarios. WILD VISION aims to bring
together researchers and practitioners from academia and industry to
discuss methods, datasets, benchmarks, evaluation protocols, and
applications for reliable, robust, and responsible computer
vision. Building on the success of the Pattern Recognition Special
Issue "From Bench to the Wild: Recent Advances in Computer Vision
Methods," which attracted more than 200 submissions, the workshop
will promote reproducibility, interpretability, computational
efficiency, and responsible deployment.

Topics of Interest

    Domain adaptation, generalization, and transfer learning;

    Continual, online, and test-time learning;

    Out-of-distribution detection and open-world recognition;

    Long-tail and imbalanced learning;

    Distributional and adversarial robustness;

    Bias, fairness, and responsible artificial intelligence;

    Uncertainty estimation, calibration, and explainability;

    Foundation, vision-language, and multimodal models;

    Multi-sensor fusion and Vision Transformers;

    Generative AI, synthetic data, and sim-to-real transfer;

    Image restoration and enhancement;

    Edge AI, model compression, and real-time inference;

    Robotics, autonomous systems, and intelligent transportation;

    Safety-critical and applied computer vision;

    Real-world datasets, benchmarks, and reproducibility;

    Industrial deployment and applications.

Workshop Organizers

George Azzopardi
University of Groningen, Groningen, The Netherlands.
g.azzopardi@rug.nl

Laura Fernández Robles
University of León, León, Spain.
l.fernandez@unileon.es

Antonio Greco
University of Salerno, Fisciano, Italy.
agreco@unisa.it

Bruno Vento
Consorzio Interuniversitario Nazionale per l'Informatica, Rome, Italy.
brunovento.it@gmail.com

We warmly invite researchers and practitioners to submit their
contributions and join us at BMVC 2026. Please feel free to share this
Call for Papers with interested colleagues, students, and research
groups.

Best regards,

The WILD VISION Workshop Organizing Committee.