Isaac Corley

According to our database, Isaac Corley authored at least 29 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Are Pretrained Image Matchers Good Enough for SAR-Optical Satellite Registration?

Isaac Corley, Alex Stoken, Gabriele Berton

CoRR, April, 2026

PRUE: A Practical Recipe for Field Boundary Segmentation at Scale.

Gedeon Muhawenayo, Caleb Robinson, Subash Khanal, Zhanpei Fang, Isaac Corley, Alexander Wollam, Tianyi Gao, Leonard Strnad, Ryan B. Avery, Lyndon D. Estes, Ana María Tárano, Nathan Jacobs, Hannah Kerner

CoRR, March, 2026

Advancing Earth Observation Through Machine Learning: A TorchGeo Tutorial.

Caleb Robinson, Nils Lehmann, Adam J. Stewart, Burak Ekim, Heng Fang, Isaac A. Corley, Mauricio Cordeiro

CoRR, March, 2026

From Pixels to Patches: Pooling Strategies for Earth Embeddings.

Isaac Corley, Caleb Robinson, Inbal Becker-Reshef, Juan M. Lavista Ferres

CoRR, March, 2026

Fields of The World: A Field Guide for Extracting Agricultural Field Boundaries.

Isaac Corley, Hannah Kerner, Caleb Robinson, Jennifer Marcus

CoRR, February, 2026

Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access.

Heng Fang, Adam J. Stewart, Isaac Corley, Xiao Xiang Zhu, Hossein Azizpour

CoRR, January, 2026

2025

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models.

Isaac Corley, Lakshay Sharma, Ruth Crasto

CoRR, June, 2025

Solar Panel Mapping via Oriented Object Detection.

Conor Wallace, Isaac Corley, Jonathan Lwowski

CoRR, February, 2025

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

Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad

CoRR, January, 2025

InspectVLM: Unified in Theory, Unreliable in Practice.

Conor Wallace, Isaac Corley, Jonathan Lwowski

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

HydroChronos: Forecasting Decades of Surface Water Change.

Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Isaac Corley, Tania Cerquitelli, Elena Baralis, Paolo Garza

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Aerial Infrared Health Monitoring of Solar Photovoltaic Farms at Scale.

Isaac Corley, Conor Wallace, Sourav Agrawal, Burton Putrah, Jonathan Lwowski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking.

Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad

CoRR, 2024

A Change Detection Reality Check.

Isaac Corley, Caleb Robinson, Anthony Ortiz

CoRR, 2024

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

Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad

CoRR, 2024

ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding.

Isaac Corley, Jonathan Lwowski, Peyman Najafirad

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Barely-Visible Surface Crack Detection for Wind Turbine Sustainability.

Sourav Agrawal, Isaac Corley, Conor Wallace, Clovis Vaughn, Jonathan Lwowski

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation.

Daniele Rege Cambrin, Isaac Corley, Paolo Garza

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters.

Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning.

Isaac A. Corley, Jonathan Lwowski, Peyman Najafirad

CoRR, 2023

Single-View Height Estimation with Conditional Diffusion Probabilistic Models.

Isaac Corley, Peyman Najafirad

CoRR, 2023

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery.

Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Natural Disaster Analytics using High Resolution Satellite Images.

Nihar Bendre, Neda Zand, Sujan Bhattarai, Isaac Corley, Mo Jamshidi, Peyman Najafirad

Proceedings of the World Automation Congress, 2022

Self-Supervised Representation Learning Enhances Broad Area Search in Multi-Temporal Satellite Imagery.

Tom Stephens, Isaac Corley, Adrian Gould, Anthony Polakiewicz, David McVicar, Carlos Torres, Rose Colangelo, Mario Aguilar-Simon

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Supervising Remote Sensing Change Detection Models With 3d Surface Semantics.

Isaac Corley, Peyman Najafirad

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

TorchGeo: deep learning with geospatial data.

Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2019

Destruction of Image Steganography using Generative Adversarial Networks.

Isaac A. Corley, Jonathan Lwowski, Justin Hoffman

CoRR, 2019

DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers.

Isaac A. Corley, Jonathan Lwowski, Justin Hoffman

CoRR, 2019

2018

Deep EEG super-resolution: Upsampling EEG spatial resolution with Generative Adversarial Networks.

Isaac A. Corley, Yufei Huang

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018