Akram Zaytar

According to our database, Akram Zaytar authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GeoAI Agency Primitives.

Akram Zaytar, Rohan Sawahn, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Inbal Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres

CoRR, April, 2026

Core-Set Selection for Data-Efficient Land Cover Segmentation.

Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin

IEEE Access, 2026

Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India.

Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery.

Tammy Glazer, Gilles Quentin Hacheme, Akram Zaytar, Luana Marotti, Amy Michaels, Girmaw Abebe Tadesse, Kevin White, Rahul Dodhia, Andrew Zolli, Inbal Becker-Reshef, Juan M. Lavista Ferres, Caleb Robinson

CoRR, November, 2025

Remote Sensing Reveals Adoption of Sustainable Rice Farming Practices Across Punjab, India.

Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres

CoRR, July, 2025

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models.

Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres

CoRR, May, 2025

Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data.

Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres

Proceedings of The TerraBytes {ICML} Workshop: Towards global datasets and models for Earth Observation, 2025

2024

Sims: An Interactive Tool for Geospatial Matching and Clustering.

Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G. Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres

CoRR, 2024

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery.

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

CoRR, 2024

Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning.

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike

STAI@IJCAI, 2024

Weak Labeling for Cropland Mapping in Africa.

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood

Proceedings of the IGARSS 2024, 2024