Lekha Revankar

I'm a 2nd year PhD student at Cornell University, where I work on computer vision and machine learning advised by Prof. Bharath Hariharan and Prof. Kavita Bala

Previously, I did my M.S. and B.S at the University of Maryland, College Park under the supervision of Prof. Ming Lin.

Email  /  CV  /  Google Scholar  /  GitHub

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Research

My research focuses on computer vision and machine learning for satellite imagery analysis. I work with large-scale multimodal data, developing methods to process and analyze Earth observation data. I'm particularly interested in interdisciplinary applications of these techniques, collaborating with researchers in archaeology, plant sciences, and other domains to address real-world challenges through satellite imagery analysis.

Scale-Aware Recognition in Satellite Images under Resource Constraints
Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala
ICLR, 2025
paper / code / project page

We introduce a new approach to scale-aware recognition in satellite imagery under resource constraints. Our approach allows one to accurately detect various concepts using a fixed budget of HR imagery, outperforming entirely HR baselines by more than 26% mAP in zero-shot techniques, and more than 8% mAP in supervised techniques using 5× fewer HR images.

News

  • [Feb 2025] Updated Project Page for Scale-Aware Paper
  • [Feb 2025] Attending Vision Day
  • [Jan 2025] Paper accepted to ICLR!
  • [Sep 2024] Presented at Cornell AI-CLIMATE Retreat
  • [Sep 2023] Started PhD at Cornell

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