| 2026 | WACV | Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): Unlocking Full-Potential for Flood Inundation Mapping. | Saurabh Kaushik, Lalit Maurya, Beth Tellman |
| 2026 | WACV | GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model. | Lalit Maurya, Saurabh Kaushik, Beth Tellman |
| 2023 | CVPR | Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping. | Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, Mitchell Thomas, Max Mauerman, A. K. M. Saiful Islam, Beth Tellman |
| 2023 | IGARSS | A Comparison Of Remote Sensing Approaches To Assess The Devastating May-June 2022 Flooding In Sylhet, Bangladesh. | Alex Saunders, Jonathan Giezendanner, Beth Tellman, Ariful Islam, Arifuzzaman Bhuyan, A. K. M. Saiful Islam |
| 2022 | IGARSS | Leveraging convolutional neural networks for semantic segmentation of global floods with PlanetScope imagery. | Nicholas R. Leach, Philip Popien, Maxwell C. Goodman, Beth Tellman |
| 2021 | WACV | H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement. | Peri Akiva, Matthew Purri, Kristin J. Dana, Beth Tellman, Tyler Anderson |
| 2020 | CVPR | Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1. | Derrick Bonafilia, Beth Tellman, Tyler Anderson, Erica Issenberg |