Caleb Robinson

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 58

Top Topics

Change Detection

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Isaac Corley, Caleb Robinson, Anthony Ortiz
A Change Detection Reality Check. CoRR (2024)
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2023)
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)
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)
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 (2023)
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 (2023)
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 (2023)
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)
Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. CoRR (2023)
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)
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 (2023)
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 (2023)
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
Mask Conditional Synthetic Satellite Imagery. CoRR (2023)
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)
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 (2022)
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 (2022)
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)
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
Resolving label uncertainty with implicit posterior models. UAI (2022)
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 (2022)
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
Resolving label uncertainty with implicit posterior models. CoRR (2022)
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 (2022)
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)
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 (2021)
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 (2021)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, 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
Becoming Good at AI for Good. CoRR (2021)
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
TorchGeo: deep learning with geospatial data. CoRR (2021)
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 (2021)
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)
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres
Detecting Cattle and Elk in the Wild from Space. CoRR (2021)
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)
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 (2021)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, 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
Becoming Good at AI for Good. AIES (2021)
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 (2021)
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)
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic
Mining self-similarity: Label super-resolution with epitomic representations. CoRR (2020)
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
Local Context Normalization: Revisiting Local Normalization. CVPR (2020)
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. IGARSS (2020)
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)
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) (2020)
Lucas Hu, Caleb Robinson, Bistra Dilkina
Model Generalization in Deep Learning Applications for Land Cover Mapping. CoRR (2020)
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)
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 (2019)
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)
Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz
Migration patterns under different scenarios of sea level rise. CoRR (2019)
Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. CoRR (2019)
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
Local Context Normalization: Revisiting Local Normalization. CoRR (2019)
Caleb Robinson, John Crittenden, Zhongming Lu, Richard Fujimoto
Toward a common object model for integrated transportation and land use models. SpringSim (ANSS) (2018)
Caleb Robinson, Bistra Dilkina
A Machine Learning Approach to Modeling Human Migration. COMPASS (2018)
Amrita Gupta, Caleb Robinson, Bistra Dilkina
Infrastructure Resilience for Climate Adaptation. COMPASS (2018)
Caleb Robinson, Fred Hohman, Bistra Dilkina
A Deep Learning Approach for Population Estimation from Satellite Imagery. GeoHumanities@SIGSPATIAL (2017)
Caleb Robinson, Bistra Dilkina
A Machine Learning Approach to Modeling Human Migration. CoRR (2017)
Caleb Robinson, Fred Hohman, Bistra Dilkina
A Deep Learning Approach for Population Estimation from Satellite Imagery. CoRR (2017)
Caleb Robinson, Arezoo Shirazi, Mengmeng Liu, Bistra Dilkina
Network optimization of food flows in the U.S. IEEE BigData (2016)