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  /  Resume  /  Google Scholar  /  GitHub

profile photo

Research

Overall I work on multi-modal foundation models for visual understanding. I'm currently building models that can understand and reason about temporal events through visual, textual and temporal information. I have experience in creating large-scale multi-modal systems and working with unstructured data. I'm particularly interested in the interdisciplinary applications of these techniques, collaborating with researchers in archaeology, grape pathology, and other domains to address real-world challenges.

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

Website template inspired by Jon Barron