activity
20212026
most citedHigh-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest

8 citations · 38 across the 20 of their papers we have counts for

collaborators

21 papers

cs.CV2026

HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo +8

When a large disaster strikes, responders need a map of which buildings are damaged within hours. The models that do well on public benchmarks assume matched before-and-after image…

cs.LG2025★ 1 cited

Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery

Caleb Robinson, Anthony Ortiz, Allen Kim +6

We present a comprehensive global temporal dataset of commercial solar photovoltaic (PV) farms and onshore wind turbines, derived from high-resolution satellite imagery analyzed qu…

cs.CV2025★ 1 cited

FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing

Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz +4

Remote sensing imagery is dense with objects and contextual visual information. There is a recent trend to combine paired satellite images and text captions for pretraining perform…

cs.CV2024★ 3 cited

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

In recent years, there has been an explosion of proposed change detection deep learning architectures in the remote sensing literature. These approaches claim to offer state-of-the…

cs.CV2024

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

Caleb Robinson, Isaac Corley, Anthony Ortiz +3

Fully understanding a complex high-resolution satellite or aerial imagery scene often requires spatial reasoning over a broad relevant context. The human object recognition system…

cs.LG2023

Poverty rate prediction using multi-modal survey and earth observation data

Simone Fobi, Manuel Cardona, Elliott Collins +5

This work presents an approach for combining household demographic and living standards survey questions with features derived from satellite imagery to predict the poverty rate of…