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ORCIDCaleb Robinson
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2020 – today
- 2024
[c24]Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CVPR Workshops 2024: 3162-3172- [c23]Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner:
Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. ICML 2024 - [c22]Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood:
Weak Labeling for Cropland Mapping in Africa. IGARSS 2024: 258-262 - [i36]Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR abs/2401.06762 (2024) - [i35]Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood:
Weak Labeling for Cropland Mapping in Africa. CoRR abs/2401.07014 (2024) - [i34]Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner:
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR abs/2402.01444 (2024) - [i33]Isaac Corley, Caleb Robinson, Anthony Ortiz:
A Change Detection Reality Check. CoRR abs/2402.06994 (2024) - [i32]Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke:
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. CoRR abs/2403.02736 (2024) - [i31]Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike:
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. CoRR abs/2404.08544 (2024) - [i30]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:
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. CoRR abs/2409.16252 (2024) - [i29]Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres:
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps. CoRR abs/2412.00777 (2024) - [i28]Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G. Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres:
Sims: An Interactive Tool for Geospatial Matching and Clustering. CoRR abs/2412.10184 (2024) - [i27]Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres:
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. CoRR abs/2412.13394 (2024) - 2023
- [j5]Thomas Manzini, Robin R. Murphy
, Eric T. Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta:
Harnessing AI and robotics in humanitarian assistance and disaster response. Sci. Robotics 8(80) (2023) - [c21]Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres:
Poverty rate prediction using multi-modal survey and earth observation data. COMPASS 2023: 23-29 - [c20]Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres:
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. ICCV (Workshops) 2023: 3762-3766 - [c19]Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee:
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. NeurIPS 2023 - [i26]Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson:
Mask Conditional Synthetic Satellite Imagery. CoRR abs/2302.04305 (2023) - [i25]Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR abs/2305.13456 (2023) - [i24]Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres:
Open Data on GitHub: Unlocking the Potential of AI. CoRR abs/2306.06191 (2023) - [i23]Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee:
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. CoRR abs/2306.09424 (2023) - [i22]Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres:
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. CoRR abs/2306.12589 (2023) - [i21]Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres:
Poverty rate prediction using multi-modal survey and earth observation data. CoRR abs/2307.11921 (2023) - [i20]Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm:
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. CoRR abs/2311.17179 (2023) - [i19]Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres:
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments. CoRR abs/2312.06153 (2023) - 2022
- [j4]Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1643-1655 (2022) - [j3]Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho:
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7458-7471 (2022) - [c18]Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres:
Fast building segmentation from satellite imagery and few local labels. CVPR Workshops 2022: 1462-1470 - [c17]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. SIGSPATIAL/GIS 2022: 19:1-19:12 - [c16]Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan Lavista Ferres:
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. ICDM (Workshops) 2022: 1029-1036 - [c15]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. UAI 2022: 1707-1717 - [e1]Aleksandra Gruca, Caleb Robinson, Naoto Yokoya, Jun Zhou, Pedram Ghamisi:
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. CEUR Workshop Proceedings 3207, CEUR-WS.org 2022 [contents] - [i18]Anthony Ortiz, Dhaval Negandhi, Sagar R. Mysorekar, Joseph Kiesecker, Shivaprakash K. Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan Lavista Ferres:
An Artificial Intelligence Dataset for Solar Energy Locations in India. CoRR abs/2202.01340 (2022) - [i17]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. CoRR abs/2202.14000 (2022) - [i16]Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres:
Fast building segmentation from satellite imagery and few local labels. CoRR abs/2206.05377 (2022) - 2021
- [j2]Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3185-3199 (2021) - [c14]Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. 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:
Becoming Good at AI for Good. AIES 2021: 664-673 - [c13]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho:
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. COMPASS 2021: 138-146 - [c12]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. GoodIT 2021: 79-84 - [c11]Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz:
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. IGARSS 2021: 270-273 - [i15]Nikolay Malkin, Caleb Robinson, Nebojsa Jojic:
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. CoRR abs/2101.01154 (2021) - [i14]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. CoRR abs/2101.07235 (2021) - [i13]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho:
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. CoRR abs/2103.09787 (2021) - [i12]Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. 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:
Becoming Good at AI for Good. CoRR abs/2104.11757 (2021) - [i11]Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres:
Detecting Cattle and Elk in the Wild from Space. CoRR abs/2106.15448 (2021) - [i10]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. CoRR abs/2111.08872 (2021) - [i9]Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho:
Mapping industrial poultry operations at scale with deep learning and aerial imagery. CoRR abs/2112.10988 (2021) - 2020
- [j1]Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng (Polo) Chau:
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. IEEE Trans. Vis. Comput. Graph. 26(1): 1096-1106 (2020) - [c10]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. AAAI 2020: 2509-2517 - [c9]Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. CVPR 2020: 11273-11282 - [c8]Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic:
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. IGARSS 2020: 7046-7049 - [i8]Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic:
Mining self-similarity: Label super-resolution with epitomic representations. CoRR abs/2004.11498 (2020) - [i7]Lucas Hu, Caleb Robinson, Bistra Dilkina:
Model Generalization in Deep Learning Applications for Land Cover Mapping. CoRR abs/2008.10351 (2020)
2010 – 2019
- 2019
- [c7]Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic:
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. CVPR 2019: 12726-12735 - [c6]Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic:
Label super-resolution networks. ICLR (Poster) 2019 - [i6]Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau:
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR abs/1904.02323 (2019) - [i5]Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz:
Migration patterns under different scenarios of sea level rise. CoRR abs/1904.10160 (2019) - [i4]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. CoRR abs/1906.04176 (2019) - [i3]Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. CoRR abs/1912.05845 (2019) - 2018
- [c5]Amrita Gupta, Caleb Robinson, Bistra Dilkina:
Infrastructure Resilience for Climate Adaptation. COMPASS 2018: 28:1-28:8 - [c4]Caleb Robinson, Bistra Dilkina:
A Machine Learning Approach to Modeling Human Migration. COMPASS 2018: 30:1-30:8 - [c3]Caleb Robinson, John Crittenden, Zhongming Lu, Richard Fujimoto:
Toward a common object model for integrated transportation and land use models. SpringSim (ANSS) 2018: 5:1-5:12 - 2017
- [c2]Caleb Robinson, Fred Hohman, Bistra Dilkina:
A Deep Learning Approach for Population Estimation from Satellite Imagery. GeoHumanities@SIGSPATIAL 2017: 47-54 - [i2]Caleb Robinson, Fred Hohman, Bistra Dilkina:
A Deep Learning Approach for Population Estimation from Satellite Imagery. CoRR abs/1708.09086 (2017) - [i1]Caleb Robinson, Bistra Dilkina:
A Machine Learning Approach to Modeling Human Migration. CoRR abs/1711.05462 (2017) - 2016
- [c1]Caleb Robinson, Arezoo Shirazi, Mengmeng Liu, Bistra Dilkina:
Network optimization of food flows in the U.S. IEEE BigData 2016: 2190-2198
Coauthor Index
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