Connectionists: WILD VISION: Reliable and Responsible Computer Vision in the Wild

[bruno.vento]

Dear Colleagues,

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 15, 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 at rug.nl

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

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

Bruno Vento
Consorzio Interuniversitario Nazionale per l'Informatica, Rome, Italy.
brunovento.it at 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.
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