Caleb Robinson

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus

September 2024

Preprint Project Project

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon

Pancreatology | September 2024

Publication PDF Project

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike

April 2024

Publication 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

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 Project Project Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI Project Project

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

ICML 2024 | February 2024

DOI Publication Publication

Weak labeling for cropland mapping in Africa

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood

January 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

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 Project Project Project

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, M. Rußwurm

November 2023

DOI Publication Github

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

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 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

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

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 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

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

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

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

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

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

2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good

Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic

IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3

Publication PDF Project Project Project

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199

Publication Project Project

High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest

Nikolay Malkin, Caleb Robinson, Nebojsa Jojic

January 2021

Publication Project Project Project

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020

1st place in 2020 IEEE GRSS Data Fusion Contest

Publication 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

Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping

Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa

AGU Fall Meeting 2019 | December 2019

Publication Publication Project

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 Project Project Project

Label super-resolution networks

Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic

ICLR 2019 | September 2018

Publication Project

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon

Pancreatology | September 2024

Publication PDF Project

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus

September 2024

Preprint Project Project

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike

April 2024

Publication 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

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 Project Project Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI Project Project

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

ICML 2024 | February 2024

DOI Publication Publication

Weak labeling for cropland mapping in Africa

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood

January 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

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 Project Project Project

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, M. Rußwurm

November 2023

DOI Publication Github

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

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 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

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

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 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

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

2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good

Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic

IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3

Publication PDF Project Project Project

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199

Publication Project Project

High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest

Nikolay Malkin, Caleb Robinson, Nebojsa Jojic

January 2021

Publication Project Project Project

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020

1st place in 2020 IEEE GRSS Data Fusion Contest

Publication 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

Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping

Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa

AGU Fall Meeting 2019 | December 2019

Publication Publication Project

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 Project Project Project

Label super-resolution networks

Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic

ICLR 2019 | September 2018

Publication Project

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon

Pancreatology | September 2024

Publication PDF 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

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

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus

September 2024

Preprint Project Project

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike

April 2024

Publication 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

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI Project Project

Weak labeling for cropland mapping in Africa

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood

January 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

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

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

Publication Preprint 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

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199

Publication Project Project

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020

1st place in 2020 IEEE GRSS Data Fusion Contest

Publication Project Project

Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping

Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa

AGU Fall Meeting 2019 | December 2019

Publication Publication Project

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 Project Project Project

Label super-resolution networks

Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic

ICLR 2019 | September 2018

Publication Project

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike

April 2024

Publication Project

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 Project Project Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI Project Project

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 Project Project Project

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, M. Rußwurm

November 2023

DOI Publication Github

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 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 Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

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

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199

Publication Project Project

High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest

Nikolay Malkin, Caleb Robinson, Nebojsa Jojic

January 2021

Publication Project Project Project

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020

1st place in 2020 IEEE GRSS Data Fusion Contest

Publication 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

Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping

Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa

AGU Fall Meeting 2019 | December 2019

Publication Publication Project

Label super-resolution networks

Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic

ICLR 2019 | September 2018

Publication Project

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

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

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

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 Project Project Project

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon

Pancreatology | September 2024

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

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 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

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

Publication Preprint Project 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

2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good

Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic

IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3

Publication PDF Project Project Project

Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | March 2021, Vol 14: pp. 3185-3199

Publication Project Project

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus

September 2024

Preprint Project Project

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike

April 2024

Publication Project

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 Project Project Project

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

February 2024

Preprint DOI Project Project

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

February 2024

Preprint DOI Project Project

Weak labeling for cropland mapping in Africa

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood

January 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

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

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 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

High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest

Nikolay Malkin, Caleb Robinson, Nebojsa Jojic

January 2021

Publication Project Project Project

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

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

ICML 2024 | February 2024

DOI Publication Publication

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 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

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest

Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic

IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020

1st place in 2020 IEEE GRSS Data Fusion Contest

Publication 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

Distributed Inference and API Hosting for an Image Analysis Service: A Case Study on Land Cover Mapping

Dan Morris, Patrick Flickinger, Caleb Robinson, Jennifer Marsman, Nebojsa Jojic, Lucas Joppa

AGU Fall Meeting 2019 | December 2019

Publication Publication Project

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 Project Project Project

Label super-resolution networks

Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic

ICLR 2019 | September 2018

Publication Project

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, M. Rußwurm

November 2023

DOI Publication Github

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