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Akram Zaytar

Microsoft AI for Good Research Lab

9 papers hereh-index 6306 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG1
affiliations
  • Microsoft AI for Good Research Lab
Homepage
same name
  • Akram Zaytar — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CV2024

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

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme +5

This study explores object detection in historical aerial photographs of Namibia to identify long-term environmental changes. Specifically, we aim to identify key objects -- Waterh…

cs.CV2024

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Q. Hacheme +6

Rare object detection is a fundamental task in applied geospatial machine learning, however is often challenging due to large amounts of high-resolution satellite or aerial imagery…

cs.CV2024

Weak Labeling for Cropland Mapping in Africa

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse +4

Cropland mapping can play a vital role in addressing environmental, agricultural, and food security challenges. However, in the context of Africa, practical applications are often…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.