Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
June 2025
Anthony Ortiz
Principal Research Science Manager
Papiers de Collaboration
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Core-Set Selection for Data-efficient Land Cover Segmentation
Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
May 2025
-
AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
JAMA Network Open | April 2025
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Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
March 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
January 2025
-
Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
-
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
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TorchGeo: Deep Learning With Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM Transactions on Spatial Algorithms and Systems | January 2025
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Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
Frontiers in Environmental Science | April 2024
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A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 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
January 2024
-
-
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The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
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Poverty rate prediction using multi-modal survey and earth observation data
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
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Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
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Turkey Earthquake Report
Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
MSR-TR-2023-7 | February 2023
Publié par Microsoft
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On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
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TorchGeo: Deep Learning with Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM SIGSPATIAL 2022 | November 2022
Nominated for best paper
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Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
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Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
PLOS | October 2022
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An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, Vol 9(1): pp. 1-13
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Fast Building Segmentation From Satellite Imagery and Few Local Labels
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
CVPR 2022 | June 2022
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Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
-
Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
Nature Scientific Reports | February 2022
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-
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Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
ACM COMPASS 2021 | June 2021
Honorable mention for best paper
-
Detecting Cattle and Elk in the Wild from Space
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
June 2021
KDD 2021 Fragile Earth Workshop
-
Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
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Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
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Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
-
Mining self-similarity: Label super-resolution with epitomic representations
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
16th European Conference Computer Vision (ECCV 2020) | August 2020
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Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
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Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
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Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images
Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton Rosario, Zachary Bell
Computer Vision and Pattern Recognition | May 2018
-
-
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Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
June 2025
-
Core-Set Selection for Data-efficient Land Cover Segmentation
Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
May 2025
-
AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
JAMA Network Open | April 2025
-
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
March 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
January 2025
-
Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
-
TorchGeo: Deep Learning With Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM Transactions on Spatial Algorithms and Systems | January 2025
-
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
-
Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
Frontiers in Environmental Science | April 2024
-
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 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
January 2024
-
The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
-
Poverty rate prediction using multi-modal survey and earth observation data
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
-
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
-
Turkey Earthquake Report
Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
MSR-TR-2023-7 | February 2023
Publié par Microsoft
-
Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
-
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
-
Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
-
Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
-
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
-
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
-
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
-
Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images
Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton Rosario, Zachary Bell
Computer Vision and Pattern Recognition | May 2018
-
-
-
AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
JAMA Network Open | April 2025
-
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
March 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
January 2025
-
Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
-
TorchGeo: Deep Learning With Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM Transactions on Spatial Algorithms and Systems | January 2025
-
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
-
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
-
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
-
TorchGeo: Deep Learning with Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM SIGSPATIAL 2022 | November 2022
Nominated for best paper
-
Fast Building Segmentation From Satellite Imagery and Few Local Labels
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
CVPR 2022 | June 2022
-
Detecting Cattle and Elk in the Wild from Space
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
June 2021
KDD 2021 Fragile Earth Workshop
-
Mining self-similarity: Label super-resolution with epitomic representations
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
16th European Conference Computer Vision (ECCV 2020) | August 2020
-
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
-
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
-
Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images
Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton Rosario, Zachary Bell
Computer Vision and Pattern Recognition | May 2018
-
-
-
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
March 2025
-
Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
Frontiers in Environmental Science | April 2024
-
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 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
January 2024
-
The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
-
Turkey Earthquake Report
Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
MSR-TR-2023-7 | February 2023
Publié par Microsoft
-
TorchGeo: Deep Learning with Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM SIGSPATIAL 2022 | November 2022
Nominated for best paper
-
Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
-
An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, Vol 9(1): pp. 1-13
-
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
ACM COMPASS 2021 | June 2021
Honorable mention for best paper
-
Detecting Cattle and Elk in the Wild from Space
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
June 2021
KDD 2021 Fragile Earth Workshop
-
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
-
-
-
Poverty rate prediction using multi-modal survey and earth observation data
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
-
-
-
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
-
Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
PLOS | October 2022
-
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
-
Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
Nature Scientific Reports | February 2022
-
Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
-
-
-
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
-
-
-
Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
June 2025
-
Core-Set Selection for Data-efficient Land Cover Segmentation
Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
May 2025
-
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
March 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
January 2025
-
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 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
January 2024
-
Detecting Cattle and Elk in the Wild from Space
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
June 2021
KDD 2021 Fragile Earth Workshop
-
-
-
AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
JAMA Network Open | April 2025
-
TorchGeo: Deep Learning With Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM Transactions on Spatial Algorithms and Systems | January 2025
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Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
Frontiers in Environmental Science | April 2024
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The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
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Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
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Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
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Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
PLOS | October 2022
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An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, Vol 9(1): pp. 1-13
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Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
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Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
Nature Scientific Reports | February 2022
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Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
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Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
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PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
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Poverty rate prediction using multi-modal survey and earth observation data
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
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On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
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TorchGeo: Deep Learning with Geospatial Data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
ACM SIGSPATIAL 2022 | November 2022
Nominated for best paper
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Fast Building Segmentation From Satellite Imagery and Few Local Labels
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
CVPR 2022 | June 2022
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Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
ACM COMPASS 2021 | June 2021
Honorable mention for best paper
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Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
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Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
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Mining self-similarity: Label super-resolution with epitomic representations
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
16th European Conference Computer Vision (ECCV 2020) | August 2020
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Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
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Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
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Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images
Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton Rosario, Zachary Bell
Computer Vision and Pattern Recognition | May 2018
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Turkey Earthquake Report
Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
MSR-TR-2023-7 | February 2023
Publié par Microsoft
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