Workshop on Robust Vision in Synthetic Environments (RV-SE) Call for Papers

Workshop on Robust Vision in Synthetic Environments (RV-SE)
BMVC 2026 Workshops
26 November 2026
Lancaster, UK

https://rvsse.github.io/

This is a half-day workshop featuring a keynote, oral presentations, and posters. 

Please keep checking this website for updates.

Recent advances in generative AI have fundamentally transformed the
visual ecosystem. Synthetic images, videos, avatars, and AI-generated
content are now pervasive and increasingly integrated into domains
such as online communication, biometric authentication, media
creation, and human-computer interaction. While prior research has
largely focused on the generation, manipulation, and detection of
synthetic media, a broader challenge is emerging: ensuring the
robustness, reliability, and trustworthiness of computer vision
systems operating in environments increasingly dominated by synthetic
content.

The growing prevalence of synthetic media is reshaping the data
landscape for modern vision systems, introducing new forms of
distribution shift, data contamination, and uncertainty in training
and evaluation pipelines. These challenges are particularly relevant
for large-scale and foundation vision models that rely on massive
amounts of multimodal data and synthetic augmentation. Understanding
how vision systems generalize, adapt, and fail under synthetic
conditions is becoming a critical research problem.

This workshop aims to bring together researchers and practitioners
working on robust vision systems in generative settings. We seek
contributions spanning robustness, generalization, trustworthy
evaluation, synthetic data governance, and deployment challenges
across vision models, biometric systems, multimodal architectures, and
foundation models. The workshop encourages interdisciplinary
perspectives connecting computer vision, biometrics, machine learning
robustness, AI safety, and media authenticity.

By shifting the focus from isolated detection problems toward robust
visual intelligence in synthetic ecosystems, the workshop aims to
define emerging research directions for trustworthy computer vision in
the age of synthetic media.

Scope: 

We invite high-quality submissions that investigate the robustness,
reliability, and trustworthiness of vision systems in the presence of
synthetic media and generative AI. The workshop welcomes theoretical,
empirical, and applied contributions that examine how vision systems
behave, generalize, and fail under real-synthetic data mixtures,
synthetic distribution shifts, and generative deployment settings.

Topics of interest include, but are not limited to:

Robust vision under synthetic media:
Distribution shift, failure modes, and robustness of vision systems in
the presence of synthetic content.

Biometrics and identity systems:
Robust biometric recognition, presentation attacks, training, and
identity consistency in generative settings.

Foundation and multimodal models:
Impact of synthetic data on large-scale training,
pretraining/fine-tuning, and evaluation of foundation models.

Synthetic data and learning systems:
Synthetic data generation, dataset contamination, data curation, and
learning under mixed real-synthetic distributions.

Trustworthy and reliable vision systems:
Calibration, uncertainty estimation, robustness evaluation,
explainability, and failure analysis.

Vision for security and digital identity:
Applications in authentication, digital identity, surveillance, and
content integrity.

Deployment and real-world robustness:
System-level robustness, operational challenges, and safety in
real-world vision deployments.

Broader impacts of synthetic media:
AI safety, societal implications, and content authenticity in vision pipelines.

Important Dates

RV-SE Workshop will follow a single-round, double-blind review process.

Full Paper and Supplementary Submission: July 31, 2026
Acceptance Notice: August 24, 2026
Camera-Ready Submission: TBD

Submission Guidelines: 

Authors are invited to submit original, unpublished research papers
related to the themes of the RV-SE workshop.

All submissions must follow the BMVC 2026 paper formatting guidelines.

Detailed formatting instructions and templates will be made available
through the BMVC website.

Submissions will be handled through the workshop submission
portal. The submission link will be announced on this website.

All papers will undergo a double-blind peer-review process. Authors
must ensure that submissions are anonymized and comply with the BMVC
reviewing policy.

Paper Length: Submissions should follow the page limits specified by
BMVC for workshop papers. Supplementary material may be submitted
where permitted.

At least one author of each accepted paper must register for BMVC 2026
and present the work at the workshop.

Accepted papers will be presented as oral presentations and/or
posters, depending on the workshop schedule and the number of accepted
submissions.

Authors are encouraged to release code, models, and datasets whenever
possible to promote reproducibility and facilitate future research.

Further details regarding submission procedures, important dates, and
presentation instructions will be announced on the workshop website.

Organizers:

Ketan Kotwal
IIT Bombay, India

Akshay Agarwal
IISER Bhopal, India

Tamar Glaser
Harman International, USA

https://rvsse.github.io/