8 citations · 38 across the 20 of their papers we have counts for
7 papers · 1 filter
Mapping industrial poultry operations at scale with deep learning and aerial imagery
Caleb Robinson, Ben Chugg, Brandon Anderson +2
Concentrated Animal Feeding Operations (CAFOs) pose serious risks to air, water, and public health, but have proven to be challenging to regulate. The U.S. Government Accountabilit…
TorchGeo: Deep Learning With Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley +3
Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among…
Detecting Cattle and Elk in the Wild from Space
Caleb Robinson, Anthony Ortiz, Lacey Hughey +2
Localizing and counting large ungulates -- hoofed mammals like cows and elk -- in very high-resolution satellite imagery is an important task for supporting ecological studies. Pri…
Becoming Good at AI for Good
Meghana Kshirsagar, Caleb Robinson, Siyu Yang +13
AI for good (AI4G) projects involve developing and applying artificial intelligence (AI) based solutions to further goals in areas such as sustainability, health, humanitarian aid,…
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres +2
Longitudinal studies are vital to understanding dynamic changes of the planet, but labels (e.g., buildings, facilities, roads) are often available only for a single point in time.…
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
We present simple algorithms for land cover change detection in the 2021 IEEE GRSS Data Fusion Contest. The task of the contest is to create high-resolution (1m / pixel) land cover…
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
Jean-Francois Rajotte, Sumit Mukherjee, Caleb Robinson +4
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a generative mechanism enabling collaborative learning. In particular, we show how a data owner with limited…