Anthony Ortiz

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

Publication Author's Version

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

Publication PDF DOI Project

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

Publication

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

Publication Project Project Project

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

Publication PDF Project

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

Publication DOI Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Preprint DOI Project Project

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

Publication DOI Project Project Project

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

Publication PDF Project

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

Publication DOI Project Project

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

Published by Microsoft

Publication Project Project

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

Publication PDF Project Project

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

Publication Preprint Project Project

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

Publication Project Project Project Project

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

Publication PDF Project Project

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

Publication PDF Project Project Project

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

Publication PDF Project Project

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

Publication Project

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

Publication PDF Project Project

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

Publication Preprint Project Project

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

Preprint Project Project Project

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

Publication Project

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

Publication

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

Publication PDF Project Project Project

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

Publication Project

Local Context Normalization: Revisiting Local Normalization

Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic

CVPR 2020 | June 2020

Publication Preprint PDF Project Project

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

Publication Preprint PDF Project Project Project

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

DOI PDF Publication Publication

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

Publication Author's Version

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

Publication PDF DOI Project

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

Publication

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

Publication PDF Project

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

Publication Project Project Project

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

Publication DOI Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Preprint DOI Project Project

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

Publication DOI Project Project Project

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

Publication PDF Project

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

Publication DOI Project Project

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

Published by Microsoft

Publication Project Project

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

Publication Project Project Project Project

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

Publication Project

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

Publication Project

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

Publication

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

Publication PDF Project Project Project

Local Context Normalization: Revisiting Local Normalization

Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic

CVPR 2020 | June 2020

Publication Preprint PDF Project Project

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

Publication Preprint PDF Project Project Project

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

DOI PDF Publication Publication

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

Publication Author's Version

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

Publication PDF DOI Project

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

Publication

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

Publication PDF Project

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

Publication Project Project Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Publication PDF Project Project

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

Publication Preprint Project Project

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

Publication PDF Project Project

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

Preprint Project Project Project

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

Publication Project

Local Context Normalization: Revisiting Local Normalization

Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic

CVPR 2020 | June 2020

Publication Preprint PDF Project Project

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

Publication Preprint PDF Project Project Project

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

DOI PDF Publication Publication

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

Publication Author's Version

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

Publication DOI Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Preprint DOI Project Project

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

Publication DOI Project Project Project

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

Published by Microsoft

Publication Project Project

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

Publication Preprint Project Project

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

Publication Project Project Project Project

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

Publication PDF Project Project Project

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

Publication Preprint Project Project

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

Preprint Project Project Project

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

Publication PDF Project Project Project

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

Publication PDF Project

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

Publication DOI Project Project

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

Publication PDF Project Project

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

Publication Project

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

Publication PDF Project Project

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

Publication Project

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

Publication Preprint PDF Project Project Project

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

Publication Author's Version

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

Publication PDF DOI Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Preprint DOI Project Project

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

Preprint Project Project Project

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

Publication

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

Publication Project Project Project

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

Publication PDF Project

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

Publication PDF Project Project

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

Publication Preprint Project Project

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

Publication PDF Project Project

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

Publication Preprint Project Project

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

Publication

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

Publication PDF Project Project Project

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

Publication Project

Local Context Normalization: Revisiting Local Normalization

Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic

CVPR 2020 | June 2020

Publication Preprint PDF Project Project

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

Publication Preprint PDF Project Project Project

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

DOI PDF Publication Publication

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

Publication PDF Project

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

Publication DOI Project

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

Publication DOI Project Project Project

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

Publication DOI Project Project

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

Publication Project Project Project Project

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

Publication PDF Project Project

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

Publication PDF Project Project Project

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

Publication Project

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

Publication PDF Project Project

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

Publication Project

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

Published by Microsoft

Publication Project Project