Geospatial imagery plays an increasingly important role in environmental monitoring, climate resilience, agriculture, urban planning, disaster response, and humanitarian action. At the same time, imagery collected from satellites, aircraft, drones, and ground platforms presents fundamental computer vision challenges, including heterogeneous sensing modalities, large variations in scale and resolution, limited or noisy annotations, spatial and temporal domain shifts, and the need for reliable inference in open-world settings.  GeoCV brings together the computer vision and geospatial imaging communities to advance methods for scalable, robust, and responsible analysis of Earth-observation data. The workshop provides a forum for researchers developing new computer vision and machine learning methods to engage directly with geospatial researchers addressing challenging real-world problems.  

GeoCV 2027 builds on two successful prior editions at WACV. GeoCV 2025 was a full-day workshop featuring five keynote talks, 20 archival papers, nine extended abstracts, approximately 30 posters, and strong attendance throughout the day. GeoCV 2026 continued this momentum with three keynote talks, 16 papers, three extended abstracts, additional invited contributions, and once again drew a full room.  The third edition will highlight emerging directions including multimodal geospatial foundation models, vision-language models, language-guided and agentic GeoAI, label-efficient learning, cross-sensor and cross-region generalization, multi-sensor fusion, and trustworthy geospatial AI, while continuing to emphasize impactful applications across Earth observation.

 Call for Papers

We invite authors to submit high-quality papers on computer vision and image analysis for geospatial imaging. Submitted manuscripts will be peer-reviewed, and refereed for originality, presentation, empirical results and overall quality. In addition to papers focused on algorithmic novelty, we also encourage papers that demonstrate effective deployment of recent computer vision paradigms to compelling geospatial imaging applications. 

Topics of interest include (but are not limited to):

• Geospatial foundation models, large vision models, and multimodal or vision-language models

• Agentic and language-guided GeoAI, spatial reasoning, and interactive Earth-observation systems

• Self-supervised, weakly supervised, few-shot, active, and other label-efficient learning

• Domain adaptation and generalization, open-world recognition, out-of-distribution detection, and trustworthy geospatial AI

• Multi-sensor and multi-temporal fusion across optical, SAR, LiDAR, thermal, and hyperspectral data

• Generative modeling and computer vision methods including super-resolution, reconstruction, segmentation, detection, and change analysis

• Applications in environmental and biodiversity monitoring, agriculture, climate, disaster response, urban systems, humanitarian applications, and sustainable development

Submission Types

Regular Research Papers
Regular papers should present original research and will undergo peer review. Papers must be 5–8 pages, excluding references, and follow the WACV 2027 formatting guidelines. Accepted regular papers that are presented at the workshop will be included in the WACV 2027 Workshop Proceedings.

Extended Abstracts
We also welcome 2–4 page extended abstracts describing emerging ideas, ongoing work, preliminary results, or work that is not otherwise ready for a full-length archival submission. Accepted extended abstracts will be presented at the workshop but will not be included in the archival workshop proceedings.

Manuscript Submission

Submissions will be handled through OpenReview.

Submission site: Coming soon

Authors should follow the WACV 2027 formatting and submission requirements for regular workshop papers. Additional submission instructions will be posted here as they become available.

Organizers

Invited Speakers

To be announced soon 

Important Dates

Regular paper submission: TBA

Extended abstract submission: TBA

Notification of acceptance: TBA

Camera-ready deadline: TBA
GeoCV 2027 Workshop: January 4 or 5, 2027

Workshop Program

Workshop program will be announced after conclusion of the peer-review period. 

Program Committee

• Bianco Michael, Microsoft

• Amey Sunil Kulkarni, Worcester Polytechnic Institute

• Hongcheng Jiang, University of Missouri

• Nandini Saini, IIT Jodhpur

• Ryan Faulkenberry, University of Houston

• Sudipan Saha, Indian Institute of Technology Delhi

• Gabriele Moser, Università di Genova

• Shivam Pande, Ghent University

• Heng Fang, KTH Royal Institute of Technology

• Shirsha Bose, Technical University of Munich

• Samrat Mukherjee, Indian Institute of Technology Bombay

• Mainak Singha, University of Trento

• Emanuele Dalsasso, EPFL

• Md Aminur Hossain, Signal And Image Processing Area

• Ksenia Bittner, German Aerospace Center

• Moloud Abdar, Deakin University

Past Workshops:

2nd Edition of GeoCV @ WACV 2026: 

The program for the workshop is now available here, and the workshop proceedings are now available here: https://openaccess.thecvf.com/WACV2025_workshops/GeoCV  

1st Edition of GeoCV @ WACV 2025: 

The program for the workshop is now available here, and the workshop proceedings are now available here: https://openaccess.thecvf.com/WACV2025_workshops/GeoCV