Submission

Call for papers

SCIA 2025 invites innovative contributions in the diverse fields of image analysis, computer vision, and pattern recognition. We welcome both groundbreaking theoretical developments and applications in emerging areas, including but not limited to:

  • 3D Vision from Multiview and Other Sensors
  • Action and Behavior Recognition
  • Biometrics, Faces, Body Gestures, and Pose Estimation
  • Computational Photography
  • Datasets and Evaluation Methodologies
  • Detection, Recognition, Classification, and Localization in 2D and/or 3D
  • Explainable AI for Computer Vision
  • Image and Video Processing, Analysis, and Understanding
  • Low-Level and Physics-Based Vision
  • Machine Learning and Deep Learning Techniques
  • Medical Imaging, Biological Imaging, and Cell Microscopy
  • Motion Analysis and Tracking
  • Scene, Text, and Document Analysis and Understanding
  • Segmentation, Grouping, and Shape Analysis
  • Vision + Language (+ Other Modalities)
  • Vision Applications and Systems
  • Vision for Robotics and Autonomous Vehicles

Call for abstracts

Alongside the classical full paper submission format, SCIA 2025 offers authors the opportunity to submit either novel or recently published works in abstract form.

Submission dates

  • Paper submission opens: December 3, 2024
  • Paper submission deadline: January 30, 2025
  • Abstract submission opens: February 1, 2025
  • Abstract submission deadline: February 27, 2025
  • Notification of acceptance date: March 21, 2025
  • Camera-ready deadline: April 3, 2025

All deadlines are at 23:59, Pacific Time.

Paper manuscript submission

You should submit using the Conference Management Toolkit (CMT) website, link to SCIA at CMT.

Manuscript format

  • Proceedings will be published in Springer Lecture Notes in Computer Science (LNCS).
  • Please look at the Springer Instructions for Authors of Papers. A LaTeX template is available here.
  • Manuscripts should be a maximum of 12 pages (text, figures, and tables) plus up to 2 pages of references.

Supplementary material

Authors may submit supplementary materials including supporting images, tables, and equation proofs that do NOT represent additional results, by January 30, 2025. These materials must not exceed two pages or contain any identification markers. Supplementary material may include videos without any proofs, identification markers, detailed analysis of experiments presented in the paper, or a concurrent submission to SCIA or another conference that is of relevance. It may not include additional dataset results, results from improved methods (e.g., after further parameter tuning or training), or updated versions of the submission PDF. Captions must not exceed 100 words.

All supplementary material must be self-contained and submitted as a single zip file. Accepted formats are: avi, mp4, pdf, and wmv. For videos, we recommend using an MP4 codec like DivX within an AVI container. Include a README text file with each video that specifies the exact codec used and provides a download URL for the codec.

While reviewers have access to supplementary material, they are under no obligation to review it. The paper must stand alone with all necessary information and illustrations.

Upon acceptance, authors may revise the supplementary material following the above format guidelines, without the identification restrictions.

Anonymization Rules

SCIA 2025 follows a double-blind review process, where the identities of both reviewers and authors remain anonymous throughout submission and review.

To ensure anonymity, authors must not include names, affiliations, or acknowledgments in their submissions. This information will be added to the final, camera-ready version.

Disclosure of domain conflicts

To prevent conflicts of interest, authors must submit complete co-author information and an accurate list of domain conflicts through the submission form by the deadline. The author list must be finalized at submission time and cannot be modified afterwards, except in rare justified cases approved by the Program Chairs. Authors may not retroactively add co-authors who were involved in the manuscript’s review process—whether as reviewers, Area Chairs, or organizing committee members.

Attendance responsibilities

All accepted SCIA 2025 papers must be presented in person by an author who has registered for physical attendance at the conference. The conference facilities do not support virtual participation or presentations. Please note that lack of travel funding or reluctance to travel cannot exempt authors from the in-person presentation requirement. In case of emergencies that prevent physical attendance, authors must contact the SCIA program committee to request a waiver.

Review process

SCIA follows a double-blind review process, where submissions will be evaluated by three external reviewers. The review process consists of a single round, without the possibility of rebuttal.

Reviewers will follow the review guidelines.

By submitting a paper to SCIA, the authors agree to the review process and understand that, if their paper is accepted for publication, the reviews of their paper will be published as well, including potentially negative comments.

By submitting a manuscript to SCIA, authors confirm that their work has not been previously published, accepted for publication, or under review in substantially similar form in any peer-reviewed venue—including journals, conferences, and workshops. Additionally, no paper with substantially similar content may be submitted to any other conference, workshop, or journal during the review period (January 31, 2025–March 20, 2025).

Plagiarism

All submissions will be screened for plagiarism. Plagiarism—using text or results from another publication without proper attribution—is a serious academic offense. This includes self-plagiarism, where authors reuse figures or text from their own previous publications. Reviewers and Area Chairs who identify potential plagiarism must report it to the SCIA Organizing Committee for investigation and appropriate action.

Conflicts of interest

Conflicts of interest are inevitable in our closely connected academic community. Authors must provide a complete list of co-authors and domain conflicts at submission time.

The Use of Large Language Models (LLMs)

Large Language Models (LLMs) like ChatGPT may be used as general-purpose writing tools. However, authors bear full responsibility for their paper’s content, including any LLM-generated text that might constitute plagiarism or scientific misconduct (such as fabricated information). LLMs cannot be listed as authors.

Reproducible Research

SCIA is committed to advancing reproducible research through open data, open implementation, and rigorous evaluation design and reporting. We encourage authors to use open datasets and make their data and code openly accessible to other researchers. Furthermore, we ask reviewers to consider the reproducibility of submissions when conducting their assessments.

You are strongly encouraged to consider the following rules for scientific reproducibility.

  • For all models and algorithms, please include
    • A clear description of the mathematical setting, algorithm, and/or model.
    • A clear explanation of any assumptions.
    • A clear declaration of what software framework and version you used.
  • For all datasets used, please include:
    • The relevant statistics, such as number of examples.
    • Description of the material or study cohort.
    • For existing datasets, citations as well as descriptions if they are not publicly available.
    • For new data collected, a complete description of the data collection process, such as descriptions of the experimental setup, device(s) used, image acquisition parameters, subjects/objects involved, instructions to annotators, and methods for quality control.
    • A link to a downloadable version of the dataset (if public).
    • Whether ethics approval was necessary for the data.
  • For all code related to this work that you have made available or will release if this work is accepted, please include:
    • Specification of dependencies.
    • Code for all stages of the study.
    • Dataset or link to the dataset needed to run the code.
    • README file including a table of results accompanied by a precise command to run to produce those results.
  • For all reported experimental results, please include:
    • Information on sensitivity regarding parameter changes.
    • A detailed explanation of used evaluation methods, metrics, and/or statistics.
    • A description of results with central tendency (e.g. mean) & variation (e.g. error bars).
    • An analysis of statistical significance of reported differences in performance between methods.
    • The average runtime for each result, or estimated energy cost.
    • A description of the memory footprint.
    • An analysis of situations in which the method failed.
    • A description of the computing infrastructure used (hardware and software).

Abstract submission

You should submit using the Conference Management Toolkit (CMT) website, link will be added soon.

Since abstracts will not be published, this is an excellent opportunity to present novel or recently published work. The review process is double-blind with a single round. Please refer to the Review Process for paper manuscripts (above) regarding plagiarism, conflicts of interest, and LLM usage.

When submitting, select the Abstracts track and the appropriate area in the submission form. Ensure all co-authors are aware of and have contributed to the work.

Abstracts must be submitted in English.

Manuscript format

  1. Write the title in sentence case, with a maximum of 15 words including spaces. Do not end the title with a period.
  2. Include 3-5 keywords describing your work.
  3. The abstract text must not exceed 1,000 words and should be structured with these four sections:
    1. Background including aims. You can include clear research questions or hypotheses.
    2. Methods. Including clear, succinct descriptions of what was done. You can include equations.
    3. Results. Quantitative data with proper statistical information (i.e. standard deviation, mean standard error, p-values).
    4. Conclusions. Concise closing remarks based on the evidence presented in the Results section. Do not overstate the results. The conclusions should address the question/hypothesis stated in the Background section.
  4. Graphics. You may include one graphic and one table in a Graphics section at the end. The abstract text itself cannot contain tables or graphs. Please ensure all visual content is clear and concise.
  5. Include up to 5 references in the References field. In the abstract text, cite references using sequential numbers in brackets (e.g., [1], [2, 4]), numbered in order of appearance.
  6. Use standard abbreviations. When introducing special or unusual abbreviations, place them in parentheses after the full term’s first use.
  7. Use numerals instead of spelling out numbers.
  8. Registration of authors. The submitted manuscript should not contain names, titles, affiliations, etc. to adhere to the anonymization rules of the review process.

You can use the same LaTex template for the paper manuscript, just make sure to include only the sections stated above.