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
PLOS One | April 2026
AI for Good Lab
Advance sustainability
Publications
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New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
Methods in Ecology and Evolution | August 2025
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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
Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
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Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
Scientific Reports | February 2025
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PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
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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
CVPR Workshop | 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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Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
Frontiers in Environmental Science | April 2024
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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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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
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Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
January 2024
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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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Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
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The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
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Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
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Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | April 2023
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DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
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A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | March 2023
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Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
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An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, Vol 9(1): pp. 1-13
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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
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The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class
Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond
Animal Behaviour | October 2021
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Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
Ecological Informatics | September 2021, Vol 64
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Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
Scientific Reports | August 2021
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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
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Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
The Journal of the Acoustical Society of America | May 2021
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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
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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
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A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
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Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
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A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
Science Direct | September 2020
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Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
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Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
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Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
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Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
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Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
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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
PLOS One | April 2026
-
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
Methods in Ecology and Evolution | August 2025
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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
Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
-
Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
Scientific Reports | February 2025
-
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
-
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
CVPR Workshop | December 2024
-
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
-
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
-
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
-
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
-
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
-
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
-
Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
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The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
-
Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
-
Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | April 2023
-
DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
-
A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | March 2023
-
Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
-
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
-
Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
Ecological Informatics | September 2021, Vol 64
-
Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
Scientific Reports | August 2021
-
Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
The Journal of the Acoustical Society of America | May 2021
-
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
-
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
-
A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
-
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
-
Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
-
Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
-
Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
-
Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
-
Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
-
-
-
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
PLOS One | April 2026
-
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
Methods in Ecology and Evolution | August 2025
-
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
Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
-
Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
Scientific Reports | February 2025
-
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
CVPR Workshop | December 2024
-
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
-
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
-
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
-
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
-
Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
-
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
-
Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
-
Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | April 2023
-
DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
-
A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | March 2023
-
Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
-
An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, Vol 9(1): pp. 1-13
-
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
-
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
-
Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class
Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond
Animal Behaviour | October 2021
-
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
-
A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
-
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
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A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
Science Direct | September 2020
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Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
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Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
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Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
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Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
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Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
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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
PLOS One | April 2026
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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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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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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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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
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The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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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
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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
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Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
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Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
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Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
Ecological Informatics | September 2021, Vol 64
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Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
Scientific Reports | August 2021
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Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
The Journal of the Acoustical Society of America | May 2021
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Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
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Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
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-
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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
PLOS One | April 2026
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New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
Methods in Ecology and Evolution | August 2025
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Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
Scientific Reports | February 2025
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Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
Frontiers in Environmental Science | April 2024
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The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
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Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | April 2023
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A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | March 2023
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Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
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An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, Vol 9(1): pp. 1-13
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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
-
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class
Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond
Animal Behaviour | October 2021
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Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
Ecological Informatics | September 2021, Vol 64
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Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
Scientific Reports | August 2021
-
Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
The Journal of the Acoustical Society of America | May 2021
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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
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A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
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A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
Science Direct | September 2020
-
Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
-
Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
-
Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
-
-
-
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
-
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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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
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Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
January 2024
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Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
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DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
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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
-
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
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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
Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
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PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
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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
CVPR Workshop | December 2024
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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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Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
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Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
NeurIPS CCAI | December 2020
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Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
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-
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Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
-