Full papers
Up to 8 pages, including figures and tables, presenting mature, original research on computer vision for earth observation methods and applications. Accepted papers will appear in the WACV 2027 Workshop Proceedings.
Computer Vision/CORE Unranked
CV4EO 2027
4th Workshop on Computer Vision for Earth Observation Applications at WACV 2027
CV4EO 2027 is the 4th Workshop on Computer Vision for Earth Observation, sponsored by IEEE GRSS and held in conjunction with WACV 2027 in Orlando, FL. It serves as a multidisciplinary platform fostering collaboration between computer vision researchers and geoscience experts to advance AI-driven applications in Earth observation for domains like disaster response, environmental monitoring, and national security.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
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 lightning talks and poster sessions but will not be in the Proceedings.
Research areas in scope
01
Topics
Foundation models for Earth observation applications, including architectures, self-supervised learning strategies, and approaches integrating spatiotemporal characteristics or geospatial metadataEarth 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 dynamicsData 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 applications3D and geometric vision for EO: multi-view stereo, height/DSM estimation, and cross-view matching, neural renderingPractical computer vision and machine learning for low resource EO applications: Energy-efficient architectures, compression, parameter-efficient adaptation, on-board/edge deploymentBenchmarking and evaluation protocols for CV4EO models: uncertainty quantification, trustworthiness, generalization, explainability, and application-oriented workflowsEthical considerations (bias, privacy, fairness, accountability, reproducibility) and open challenges, case studies, and end-user application perspectivesVisual 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
Policies worth checking twice
- Submissions must follow WACV’s double-blind review guidelines
- Full papers are limited to 8 pages including figures and tables
- Accepted short papers are not included in the Proceedings
- Accepted short papers and workshop takeaways may be invited for compilation into an extended journal article submission to IEEE JSTARS
- Camera-ready submissions must be in WACV format
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026