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
AI for Good Lab
Fundamental rights
Publications
Publications
Publications par année
-
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
February 2024
-
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
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
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
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
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
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
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
-
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
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
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, Vol 4
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
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
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
-
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
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
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
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, Vol 118
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
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
-
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
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
-
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
Filtre par zone de recherche
-
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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
February 2024
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
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
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
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
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
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
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, Vol 4
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
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
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, Vol 118
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
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
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
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
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
-
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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
February 2024
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
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
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
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
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
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
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
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
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, Vol 118
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
-
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
February 2024
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
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
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
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
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
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
-
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
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, Vol 4
-
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
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, Vol 118
-
-
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, Vol 118
-
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 Type
-
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
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
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
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
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
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
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
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
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
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
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
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
-
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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
February 2024
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
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
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
-
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
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, Vol 4
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
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, Vol 118
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
-
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
-