Call for papers

Call for papers 

Submission: OpenReview platform (URL soon)

Author guidelines (follow WACV main conference): https://wacv.thecvf.com/Conferences/2027/AuthorReviewerGuides

• Author kit (.zip)

We invite two types of submissions:

• Full papers (up to 8 pages, including figures and tables) presenting mature, original research on computer vision for earth observation methods and applications. Submissions should follow WACV’s formatting and double-blind review guidelines, with accepted papers to appear in the WACV 2027 Workshop Proceedings.
  
• Short papers including position papers, abstracts on work-in-progress, industrial applications demos, or descriptions of workflows and best practices for CV4EO. Accepted short papers will be part of the lightning talks and poster sessions, but will not be in the Proceedings.
• Workshop takeaways and accepted short papers will be invited for compilation into an extended journal article submission to IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing (JSTARS).

Topics include, but are not limited to:

• Foundation models for Earth observation applications, including architectures, self-supervised learning strategies, and approaches integrating spatiotemporal characteristics or geospatial metadata.
• Earth embeddings and world models: reusable embedding fields as analysis-ready products, retrieval and similarity search at scale, and generative or predictive models of Earth surface dynamics.
• Data fusion and multimodal learning: harmonization, tokenization, and integration of diverse modalities (e.g., optical multispectral, SAR, LiDAR) and diverse data types (e.g., raster, vector, text).
• Agentic AI in remote sensing. Integration of LLMs with computer vision techniques for reasoning and querying of Earth observation applications.
• 3D and geometric vision for EO: multi-view stereo, height/DSM estimation, and cross-view matching,  neural rendering
• Practical computer vision and machine learning for low resource EO applications. Energy-efficient architectures, compression, parameter-efficient adaptation, on-board/edge deployment.
• Benchmarking and evaluation protocols for CV4EO models: uncertainty quantification, trustworthiness, generalization, explainability, and application-oriented workflows.
• Ethical considerations (bias, privacy, fairness, accountability, reproducibility) and open challenges, case studies, and end-user application perspectives.
• Visual query answering, object detection, semantic/instance segmentation, classification techniques for applications in humanitarian assistance, precision agriculture, sustainable development goals, environment/wildlife monitoring etc.
• Emerging advances: quantum machine learning for Earth observation, diffusion models for remote sensing data synthesis etc

Dates: