Fundamental rights

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 プロジェクト プロジェクト

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Sims: An Interactive Tool for Geospatial Matching and Clustering

Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

The New Digital Divide

Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres

National Bureau of Economic Research | October 2024

Publication

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

Publication DOI PDF プロジェクト

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

Publication プロジェクト プロジェクト

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI プロジェクト

Mission Critical — Satellite Data is a Distinct Modality in Machine Learning

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI プロジェクト

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

Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023

Publication プロジェクト プロジェクト

Harnessing AI and robotics in humanitarian assistance and disaster response

Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta

Science Robotics | July 2023

Publication DOI

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

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres

June 2023

Publication PDF プロジェクト

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

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

May 2023

Publication プロジェクト

Mask Conditional Synthetic Satellite Imagery

Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson

ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023

Publication プロジェクト

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

Microsoft による投稿

Publication プロジェクト

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 プロジェクト

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 プロジェクト

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS AI+HADR Workshop 2022 | November 2022

Publication プロジェクト

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, 巻4

Publication

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 プロジェクト

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF

Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data

Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes

Science Direct | January 2022

Publication PDF プロジェクト

From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery

Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021

Publication プロジェクト プロジェクト

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 プロジェクト

Height Estimation of Children under Five Years using Depth Images.

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

Publication Publication Publication プロジェクト

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, 巻118

Publication PDF プロジェクト

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia

March 2021

Publication Publication PDF プロジェクト プロジェクト

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI’21 | February 2021

Publication PDF プロジェクト

How to Handle Armed Conflict Data in a Real-World Scenario?

Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma

Philosophy & Technology | September 2020

Publication

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 プロジェクト プロジェクト

Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic

CVPR 2019 | May 2019

Publication PDF プロジェクト プロジェクト

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 プロジェクト プロジェクト

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Sims: An Interactive Tool for Geospatial Matching and Clustering

Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

Publication DOI PDF プロジェクト

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

Publication プロジェクト プロジェクト

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI プロジェクト

Mission Critical — Satellite Data is a Distinct Modality in Machine Learning

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI プロジェクト

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

Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023

Publication プロジェクト プロジェクト

Harnessing AI and robotics in humanitarian assistance and disaster response

Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta

Science Robotics | July 2023

Publication DOI

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

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres

June 2023

Publication PDF プロジェクト

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

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

May 2023

Publication プロジェクト

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

Microsoft による投稿

Publication プロジェクト

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, 巻4

Publication

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF

Height Estimation of Children under Five Years using Depth Images.

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

Publication Publication Publication プロジェクト

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, 巻118

Publication PDF プロジェクト

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia

March 2021

Publication Publication PDF プロジェクト プロジェクト

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI’21 | February 2021

Publication PDF プロジェクト

How to Handle Armed Conflict Data in a Real-World Scenario?

Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma

Philosophy & Technology | September 2020

Publication

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 プロジェクト プロジェクト

Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic

CVPR 2019 | May 2019

Publication PDF プロジェクト プロジェクト

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 プロジェクト プロジェクト

Sims: An Interactive Tool for Geospatial Matching and Clustering

Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

Publication プロジェクト プロジェクト

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI プロジェクト

Mission Critical — Satellite Data is a Distinct Modality in Machine Learning

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI プロジェクト

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

Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023

Publication プロジェクト プロジェクト

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

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

May 2023

Publication プロジェクト

Mask Conditional Synthetic Satellite Imagery

Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson

ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023

Publication プロジェクト

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 プロジェクト

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 プロジェクト

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS AI+HADR Workshop 2022 | November 2022

Publication プロジェクト

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 プロジェクト

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF

Height Estimation of Children under Five Years using Depth Images.

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

Publication Publication Publication プロジェクト

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, 巻118

Publication PDF プロジェクト

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 プロジェクト プロジェクト

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Sims: An Interactive Tool for Geospatial Matching and Clustering

Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

Publication PDF プロジェクト プロジェクト

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI プロジェクト

Mission Critical — Satellite Data is a Distinct Modality in Machine Learning

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI プロジェクト

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres

June 2023

Publication PDF プロジェクト

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

Microsoft による投稿

Publication プロジェクト

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 プロジェクト

From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery

Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021

Publication プロジェクト プロジェクト

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 プロジェクト

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI’21 | February 2021

Publication PDF プロジェクト

Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic

CVPR 2019 | May 2019

Publication PDF プロジェクト プロジェクト

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

Publication DOI PDF プロジェクト

Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data

Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes

Science Direct | January 2022

Publication PDF プロジェクト

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, 巻118

Publication PDF プロジェクト

The New Digital Divide

Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres

National Bureau of Economic Research | October 2024

Publication

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, 巻118

Publication PDF プロジェクト

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

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, 巻4

Publication

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia

March 2021

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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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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

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Sims: An Interactive Tool for Geospatial Matching and Clustering

Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

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Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres

December 2024

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Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

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A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI プロジェクト

Mission Critical — Satellite Data is a Distinct Modality in Machine Learning

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

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Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres

June 2023

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

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

May 2023

Publication プロジェクト

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

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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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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

Advances in Neural Information Processing Systems (NeurIPS 2023) | December 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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Mask Conditional Synthetic Satellite Imagery

Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson

ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023

Publication プロジェクト

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

Publication Preprint プロジェクト

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS AI+HADR Workshop 2022 | November 2022

Publication プロジェクト

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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From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery

Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021

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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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Height Estimation of Children under Five Years using Depth Images.

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

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Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI’21 | February 2021

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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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Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic

CVPR 2019 | May 2019

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The New Digital Divide

Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres

National Bureau of Economic Research | October 2024

Publication

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

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Harnessing AI and robotics in humanitarian assistance and disaster response

Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta

Science Robotics | July 2023

Publication DOI

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, 巻4

Publication

Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data

Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes

Science Direct | January 2022

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Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, 巻118

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How to Handle Armed Conflict Data in a Real-World Scenario?

Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma

Philosophy & Technology | September 2020

Publication

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

Microsoft による投稿

Publication プロジェクト

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia

March 2021

Publication Publication PDF プロジェクト プロジェクト