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ORCIDIsaac Corley
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2020 – today
- 2024
[c8]Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CVPR Workshops 2024: 3162-3172- [c7]Isaac Corley, Jonathan Lwowski, Peyman Najafirad:
ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding. WACV 2024: 4623-4631 - [i13]Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR abs/2401.06762 (2024) - [i12]Isaac Corley, Caleb Robinson, Anthony Ortiz:
A Change Detection Reality Check. CoRR abs/2402.06994 (2024) - [i11]Sourav Agrawal, Isaac Corley, Conor Wallace, Clovis Vaughn, Jonathan Lwowski:
Barely-Visible Surface Crack Detection for Wind Turbine Sustainability. CoRR abs/2407.07186 (2024) - [i10]Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad:
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. CoRR abs/2407.18128 (2024) - [i9]Daniele Rege Cambrin, Isaac Corley, Paolo Garza:
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. CoRR abs/2408.04523 (2024) - 2023
- [c6]Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee:
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. NeurIPS 2023 - [i8]Isaac Corley, Peyman Najafirad:
Single-View Height Estimation with Conditional Diffusion Probabilistic Models. CoRR abs/2304.13214 (2023) - [i7]Isaac A. Corley, Jonathan Lwowski, Peyman Najafirad:
ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning. CoRR abs/2304.13219 (2023) - [i6]Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR abs/2305.13456 (2023) - [i5]Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee:
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. CoRR abs/2306.09424 (2023) - 2022
- [c5]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. SIGSPATIAL/GIS 2022: 19:1-19:12 - [c4]Isaac Corley, Peyman Najafirad:
Supervising Remote Sensing Change Detection Models With 3d Surface Semantics. ICIP 2022: 3753-3757 - [c3]Tom Stephens, Isaac Corley, Adrian Gould, Anthony Polakiewicz, David McVicar, Carlos Torres, Rose Colangelo, Mario Aguilar-Simon:
Self-Supervised Representation Learning Enhances Broad Area Search in Multi-Temporal Satellite Imagery. IGARSS 2022: 5337-5340 - [c2]Nihar Bendre, Neda Zand, Sujan Bhattarai, Isaac Corley, Mo M. Jamshidi, Peyman Najafirad:
Natural Disaster Analytics using High Resolution Satellite Images. WAC 2022: 371-378 - [i4]Isaac Corley, Peyman Najafirad:
Supervising Remote Sensing Change Detection Models with 3D Surface Semantics. CoRR abs/2202.13251 (2022) - 2021
- [i3]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. CoRR abs/2111.08872 (2021)
2010 – 2019
- 2019
- [i2]Isaac A. Corley, Jonathan Lwowski, Justin Hoffman:
DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers. CoRR abs/1911.06285 (2019) - [i1]Isaac A. Corley, Jonathan Lwowski, Justin Hoffman:
Destruction of Image Steganography using Generative Adversarial Networks. CoRR abs/1912.10070 (2019) - 2018
- [c1]Isaac A. Corley, Yufei Huang:
Deep EEG super-resolution: Upsampling EEG spatial resolution with Generative Adversarial Networks. BHI 2018: 100-103
Coauthor Index
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