Call for papers

Call for papers

Submission Website: https://cmt3.research.microsoft.com/CV4EO2024

We welcome submissions of full papers as well as position papers, work-in-progress, and papers discussing open problems and challenges. Topics include, but are not limited to:

Computer vision models for geospatial data

• Multimodal geospatial data integration/fusion, ranging from different image resolutions, viewpoints (e.g., off-nadir imagery or ground-to-aerial matching), sensors, modalities, as well as combination of raster and vector data;
• Architectures, loss functions, contrastive learning and other mechanisms leveraging spatiotemporal components and/or metadata available from geospatial data;
• Self- and semi-supervised learning schemes toward large-scale (Foundation) GeoAI computer vision models.

Applications and workflows

• Novel applications of computer-vision techniques for geospatial imagery analysis, e.g. humanitarian assistance, precision agriculture, sustainable development goals, national security missions, environment/wildlife monitoring;
• Methods for harmonization, homogenization, and tokenization of varied remote sensing data types (e.g., multispectral, hyperspectral, SAR data) toward Analysis Ready Data (ARD) and AI-ready data;
• Metrics and mechanisms for data/model visualization, uncertainty quantification, improving/assessing trustworthiness, and evaluation protocols for application-oriented workflows
• Ethical considerations for decision-making based on computer vision-enabled analysis of geospatial imagery. What are bias sources, privacy/data protection, fairness, trust, accountability issues that are distinctive or particularly critical for computer vision models in the geospatial application domains? What constitutes suitable guardrails and what is still missing?

Format

The CV4EO@WACV24 workshop will have a half-day program, including 2 keynote addresses and individual presentations. Three main submission types will be included in this workshop:

Full research papers: presenting mature research on a specific problem or topic in the context of computer vision for Earth Observation data analysis. Submissions will be limited to 8 pages, including figures and tables, following the WACV style (same guidelines as the main conference). Papers will be peer-reviewed following the same WACV main conference policies (i.e., double blind) to ensure the quality and the clarity of the work. Accepted full research papers will be included in the Workshop Proceedings of WACV 2024

Short research, demo or vision papers: short research articles or industry demonstrations of existing methods, toolkits, pipelines and best practices for CV4EO, as well as short papers discussing vision for future directions and/or statements on gaps and challenges for the development of AI technology and their applications in the geospatial domain. Accepted short papers will not be included in Workshop Proceedings of WACV 2024, but can be published in the CV4EO Workshop’s website upon author’s agreement.

Nectar track: authors can submit short papers based on research that has already been published at relevant conference or journal publication within the last two years, which they would like to discuss with workshop participants. Contributions accepted for the Nectar track will not be published in the conference proceedings. Authors are not required to change the format of preexisting papers, but submissions are limited to 8 pages and must be accompanied by the original published paper.

WACV submission guidelines: https://wacv2024.thecvf.com/author-guidelines/

Author kit can be found here