| 2025 | ICCV | Active Learning Meets Foundation Models: Fast Remote Sensing Data Annotation for Object Detection. | Marvin Burges, Philipe Ambrozio Dias, Carson Woody, Sarah Walters, Dalton D. Lunga |
| 2025 | WACV | Interactive Rotated Object Detection for Novel Class Detection in Remotely Sensed Imagery. | Marvin Burges, Philipe Ambrozio Dias, Carson Woody, Sarah Walters, Dalton D. Lunga |
| 2024 | IGARSS | Towards Interpretable Machine Learning Metrics For Earth Observation Image Analysis. | Ujjwal Verma, Dalton D. Lunga, Abhishek Potnis |
| 2024 | IGARSS | Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models. | Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga |
| 2024 | IGARSS | Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery. | Jacob Arndt, Anurupa Roy, Marie L. Urban, Dalton D. Lunga |
| 2024 | IGARSS | Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles. | Philipe A. Dias, Jacob Arndt, Marie L. Urban, Dalton D. Lunga |
| 2024 | IGARSS | Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. | Ronny Hnsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow |
| 2023 | IGARSS | Scaling Automatic Vector Data Alignment to Satellite Imagery. | Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman |
| 2023 | IGARSS | Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding. | Abhishek Potnis, Dalton D. Lunga, Alexandre Sorokine, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Jason Wohlgemuth |
| 2023 | IGARSS | Towards Rapid Response Updates of Populations at Risk. | Marie L. Urban, Jessica Moehl, Philipe A. Dias, Joseph Tuccillo, Andrew Reith, Kelly M. Sims, Sarah Walters, Jacob Arndt, Abhishek Potnis, Dalton D. Lunga |
| 2023 | IGARSS | An Agenda for Multimodal Foundation Models for Earth Observation. | Philipe A. Dias, Abhishek Potnis, Sreelekha Guggilam, Lexie Yang, Aristeidis Tsaris, Henry Medeiros, Dalton D. Lunga |
| 2023 | IGARSS | SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters. | Ronny Hnsch, Jacob Arndt, Dalton D. Lunga, Tyler Pedelose, Arnold P. Boedihardjo, Joshua Pfefferkorn, Desiree Petrie, Todd M. Bacastow |
| 2023 | IGARSS | ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? | Dalton D. Lunga, Ronny Hnsch, Ujjwal Verma, Fabio Pacifici, George Percivall, Silvia Liberata Ullo |
| 2022 | CVPR | SpaceNet 8 - The Detection of Flooded Roads and Buildings. | Ronny Hnsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow |
| 2022 | IGARSS | Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? | Philipe A. Dias, Dalton D. Lunga |
| 2022 | IGARSS | Advancing Data Fusion in Earth Sciences. | Dalton D. Lunga, Philipe A. Dias |
| 2022 | KDD | Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. | Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi |
| 2021 | KDD | Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. | Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi |
| 2021 | SC | Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach. | Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga, Philipe Ambrozio Dias |
| 2020 | ICPP | Toward Large-Scale Image Segmentation on Summit. | Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris |
| 2020 | IGARSS | Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images. | Jacob Arndt, Dalton D. Lunga |
| 2020 | IGARSS | Automated Openstreetmap Data Alignment for Road Network Mapping. | Tao Liu, Dalton D. Lunga |
| 2019 | IGARSS | Multiscale Based Characterization and Classification of Urban Land-Use. | Jacob Arndt, Dalton D. Lunga, Jeanette E. Weaver, St. Thomas M. LeDoux, Sarah Tennille |
| 2019 | IGARSS | Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. | Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga |
| 2019 | SC | Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit. | Mark Coletti, Dalton D. Lunga, Jeffrey K. Bassett, Amy N. Rose |
| 2018 | IGARSS | A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery. | Jeanette E. Weaver, Brian Moore, Andrew Reith, Jacob J. McKee, Dalton D. Lunga |
| 2018 | IGARSS | Multilevel Semantic Labeling of Mobile Homes from Overhead Imagery. | Dalton D. Lunga, Matthew Seals, Budhendra L. Bhaduri |
| 2017 | IGARSS | Toward country scale building detection with convolutional neural network using aerial images. | Hsiuhan Lexie Yang, Dalton D. Lunga, Jiangye Yuan |
| 2017 | IGARSS | Exploiting convolutional representations for multiscale human settlement detection: Preliminary results. | Dalton D. Lunga, Dilip R. Patlolla, Hsiuhan Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri |
| 2017 | IGARSS | Hashed binary search sampling for convolutional network training with large overhead image patches. | Dalton D. Lunga, Hsiu-Han Lexie Yang, Jiangye Yuan, Budhendra L. Bhaduri |
| 2013 | IGARSS | Dynamic hyperspectral embedding with a spatial sensitive graph. | Dalton D. Lunga, Okan K. Ersoy |
| 2006 | ICONIP | Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm. | Dalton D. Lunga, Tshilidzi Marwala |