We invite high-quality papers covering the topics listed below.
Topics of interest include (but not limited to) applications of computer vision and machine learning to:
Automated microstructural and compositional analysis of materials microscopy image data acquired using optical microscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray microscopy, and other advanced microscopy techniques;
Feature extraction, classification and segmentation of microscopy image data of materials;
Object detection and tracking for real-time and high-throughput big data analytics;
Multidimensional data acquisition and processing for advanced microscopy and imaging;
Data fusion from multimodal characterization;
Spatiotemporal modeling for feature detection and dynamic analysis in time-resolved imaging;
Establishing processing-structure-property-performance (PSPP) relationships with extracted features or latent variables;
Merging data and explicit knowledge for microstructure representations, including physics-informed machine learning for image analysis, and combining simulated and experimental data;
Developing and applying generative models (e.g., VAE, GAN, diffusion models) for creating synthetic microstructure images and simulating electron microscopy data based on learned structure-property relationships;
Uncertainty quantification (UQ) in classification and segmentation model predictions;
Explainable AI for microscopy, spectroscopy and diffraction data;
Representation learning, federated learning, self-supervised learning, or learning with labels such as text or quantitative material properties;
Efficient annotation methods and next-generation interactive model-driven microscope user interfaces;
Benchmark datasets for object detection, segmentation and classification tasks.
Accepted papers will be presented as orals or posters at the workshop.
Important Dates
Paper Submission extended Due: June 30, 2025 (11:59pm PST), Monday
Notification to Authors: July 10, 2025, Thursday
Camera-ready paper due: August 18, 2025, Monday
Submission Guidelines
We invite two types of submissions:
Long archival papers are longer than 4 pages and up to 8 pages, including figures and tables, in the ICCV style. Additional pages containing only cited references are allowed. A long paper will be published in the ICCV 2025 workshop proceedings.
Short non-archival papers (not exceeding 4 pages). The short paper is intended for sharing original early stages ideas, promising research or applications, pilot studies, work in progress, or new datasets. Accepted short papers will not be included in the ICCV 2025 workshop proceedings. Authors of accepted short papers are encouraged to make their submissions available on arXiv or similar open-access platforms.
Supplementary material submission: The authors may optionally submit additional material that could not be included due to constraints of format or space. The authors should refer to the contents of the supplementary material appropriately in the paper. Reviewers will be encouraged to look at it, but are not obligated to do so.
Reviewing is double blind and there is no rebuttal period.
Authors are expected to remove their names and affiliations in the submitted version. Authors should also make a reasonable effort to anonymize the submitted code, data, and manuscript. If the paper is accepted, authors are expected to replace the submitted code/dataset with a non-anonymized version or link to a public GitHub repository.
Paper submissions must adhere to the ICCV 2025 author guidelines regarding style, format, length restrictions. By submitting a manuscript to the workshop, the authors acknowledge that it has not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference or workshop.
Submission link: https://cmt3.research.microsoft.com/CV4MS2025
Upon acceptance, each paper must be registered under an author full, in-person registration type. One registration may cover up to three papers inclusive of main conference or workshop papers. Virtual registrations will not cover a paper submission - even workshop papers. Registration details can be found here.
Note that everyone must be registered in advance to attend the workshop (even speakers).