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<p style="background-color: #ffffff;">Dear Colleagues,</p>
<p style="background-color: #ffffff;">We are pleased to announce the Call for Papers for:</p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">WILD VISION: Reliable and Responsible Computer Vision in the Wild</strong></p>
<p style="background-color: #ffffff;">a workshop held in conjunction with the<span> </span><strong style="font-weight: bolder;">British Machine Vision Conference 2026 (BMVC 2026)</strong>, taking place in Lancaster, UK.</p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">Workshop website:</strong><br /><a style="color: #00acff; background-color: transparent;" href="https://lnkd.in/eFNyuy3D" target="_blank" rel="noopener noreferrer">https://lnkd.in/eFNyuy3D</a></p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">Important Dates</strong></p>
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<p>Paper submission deadline: September 15, 2026;</p>
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<p>Camera-ready deadline: October 30, 2026;</p>
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<p>Workshop date: November 26, 2026;</p>
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<p style="background-color: #ffffff;">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.</p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">Topics of Interest</strong></p>
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<p>Domain adaptation, generalization, and transfer learning;</p>
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<p>Continual, online, and test-time learning;</p>
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<p>Out-of-distribution detection and open-world recognition;</p>
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<p>Long-tail and imbalanced learning;</p>
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<p>Distributional and adversarial robustness;</p>
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<p>Bias, fairness, and responsible artificial intelligence;</p>
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<p>Uncertainty estimation, calibration, and explainability;</p>
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<p>Foundation, vision-language, and multimodal models;</p>
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<p>Multi-sensor fusion and Vision Transformers;</p>
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<p>Generative AI, synthetic data, and sim-to-real transfer;</p>
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<p>Image restoration and enhancement;</p>
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<p>Edge AI, model compression, and real-time inference;</p>
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<p>Robotics, autonomous systems, and intelligent transportation;</p>
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<p>Safety-critical and applied computer vision;</p>
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<p>Real-world datasets, benchmarks, and reproducibility;</p>
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<p>Industrial deployment and applications.</p>
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<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">Workshop Organizers</strong></p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">George Azzopardi</strong><br />University of Groningen, Groningen, The Netherlands.<br /><a style="color: #00acff; background-color: transparent;" href="mailto:g.azzopardi@rug.nl" rel="noreferrer">g.azzopardi@rug.nl</a></p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">Laura Fernández Robles</strong><br />University of León, León, Spain.<br /><a style="color: #00acff; background-color: transparent;" href="mailto:l.fernandez@unileon.es" rel="noreferrer">l.fernandez@unileon.es</a></p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">Antonio Greco</strong><br />University of Salerno, Fisciano, Italy.<br /><a style="color: #00acff; background-color: transparent;" href="mailto:agreco@unisa.it" rel="noreferrer">agreco@unisa.it</a></p>
<p style="background-color: #ffffff;"><strong style="font-weight: bolder;">Bruno Vento</strong><br />Consorzio Interuniversitario Nazionale per l’Informatica, Rome, Italy.<br /><a style="color: #00acff; background-color: transparent;" href="mailto:brunovento.it@gmail.com" rel="noreferrer">brunovento.it@gmail.com</a></p>
<p style="background-color: #ffffff;">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.</p>
<p style="background-color: #ffffff;">Best regards,</p>
<p style="background-color: #ffffff;">The WILD VISION Workshop Organizing Committee.</p>
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