Data Science for Vision Conference - Call for Papers

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Topics of Interest

• Predictive Modeling: Statistical and machine learning methods for forecasting outcomes from historical data, including model validation and uncertainty quantification.
• Data Augmentation: Techniques for artificially expanding training datasets through transformations, synthesis, or sampling to improve model robustness.
• Statistical Analysis: Application of statistical methods to summarize, test, and draw inferences from data.
• Dimensionality Reduction: Methods for reducing the number of variables in a dataset while preserving meaningful structure, such as principal component analysis and manifold learning.
• Anomaly Detection: Algorithms for identifying unusual patterns or outliers in data, applied to fraud detection, monitoring, and quality control.
• Transfer Learning: Techniques for applying knowledge learned on one task or dataset to improve performance on a related task with limited data.
• Time-Series Analysis: Methods for modeling and forecasting sequential data over time, including video and sensor streams.
• Multi & Spatio-Temporal Processing: Analysis of visual data across multiple spatial and temporal scales, such as video sequences and multi-camera systems.
• Data Labeling: Methods for producing, validating, and scaling the annotations that vision systems train on, including active learning, weak supervision, and quality control for human and automated labeling pipelines.
• Benchmarking & Model Validation: Rigorous evaluation methodology for vision systems, including dataset construction, benchmark design, and validation practices that reveal how well results generalize beyond the test set they were measured on.

Submission Guidelines

• We accept initial submission in PDF format only.
• To adhere to the double-blind peer review process, authors must refrain from including any details related to their identity, such as author names, affiliations, or country information, within the paper.
• Authors are responsible for ensuring that their paper is thoroughly checked and proofread prior to submission. Please note that no changes can be made to the paper once it has been submitted for review. However, if the paper is accepted, minor revisions may be made before final publication to address any areas for improvement.
• When submitting the camera-ready version of the paper, please ensure that all author information is included, as required by the paper formatting guidelines. Author names, email addresses, and their sequence will be considered final as per the submitted camera-ready version.
• Submissions must primarily consist of original work. No more than 25% of the content should be derived from previously published material by the same authors, and any such reused content must be properly cited. Therefore, at least 75% of the manuscript should contain new, unpublished material.

Downloads

• MS Word Paper Format
• LaTeX Paper Format
• Presentation Format

Formatting Guidelines

• Manuscripts should typically be confined to 18 pages for the main text (excluding references and appendices of upto 7 pages). Submissions that exceed this limit may be considered at the discretion of the conference chair, particularly for review or survey papers.
• Manuscripts should present original research that aligns with the conference themes and topics.
• It is the responsibility of the authors to ensure the accuracy of all citations, quotations, figures, maps, and tables included in their manuscript.
• The abstract should adhere to the 150-250 word limit as per the conference guidelines.
• Figures and tables should be placed within the manuscript at the appropriate locations where they are referenced and must be clear and legible.
• All figures, tables, references, appendices, algorithms, annexures, and supplementary materials must be clearly numbered, and properly cited in the text.
• Tables must be neatly aligned within the page margins and must not overflow the page boundaries.
• Figure captions and table headings should be concise, unique, and ideally limited to a maximum of two lines.
• References should be formatted correctly and consistently, including all the necessary details such as author names, paper titles, publication sources, and years. Every reference listed must be cited in the main text.
• The use of foreign languages in the manuscript is not allowed unless accompanied by a corresponding English translation.
• The manuscript must comply with the formatting guidelines specified in the provided template.

Review Process

Submissions will undergo an anonymous review process (double-blind). As a result, authors must ensure their manuscript does not disclose their identity or affiliation. Specifically, authors should remove their names and affiliations from the manuscript, anonymize any citations or references to their own related work, and omit any acknowledgments, including funding sources.

Each paper will be evaluated by a minimum of three regular program committee members or two senior program committee members. Acceptance will be determined based on the originality, technical depth, elegance, impact (either practical or theoretical), and overall presentation quality.

• Original: The paper should introduce a new idea, project, or issue; provide fresh insights into existing research; present new findings; or offer a novel perspective on established information.
• Engaging: The presentation should be interactive, engaging the audience, or address community needs in a way that is likely to attract substantial conference attendance.
• Significant: The paper should tackle critical issues related to improving the effectiveness of current methods, and its content should be clear and broadly applicable.
• Quality: Any claims made in the paper must be supported by sufficient data, properly reference existing work, and honestly acknowledge any limitations.
• Clear: The outcomes of the paper should be presented in a manner that is easily understood.
• Relevant: The paper’s subject matter must align with at least one of the conference’s designated tracks.

Use of AI-Assisting Tools

The conference permits the responsible use of Generative AI (GenAI) tools in manuscript preparation. Authors are required to observe the following:

• Declare Usage – Any use of GenAI must be disclosed in the manuscript (e.g., in a Declaration on Generative AI section).
• Maintain Responsibility – Authors must critically review and edit AI-assisted text; unedited AI output is not acceptable.
• No AI Authorship – GenAI tools cannot be listed as authors. Authorship is limited to humans who take full responsibility for the work.
• Limit Role of AI – GenAI may support drafting and language refinement, but the development of scientific ideas, arguments, results, and conclusions must be carried out by human authors.
• Accountability – Authors remain fully accountable for the accuracy, originality, and integrity of their manuscripts.

Note: Non-compliance with these guidelines will be treated as academic misconduct and may result in the removal of published work.

Other Tracks at Computer Vision Conference 2027

• Generative AI & Vision
• Deep Learning & Image Processing
• Vision Applications & Systems

View the full Call for Papers for Computer Vision Conference 2027 »