| 2025 | CVPR | Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization. | Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins |
| 2025 | ICIP | FMG-Det: Foundation Model Guided Robust Object Detection. | Darryl Hannan, Timothy Doster, Henry Kvinge, Adam Attarian, Yijing Watkins |
| 2024 | IGARSS | Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. | James Koch, Brenda Forland, Bruce Bernacki, Timothy Doster, Tegan Emerson |
| 2021 | ICMLA | Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis. | Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson |
| 2020 | IGARSS | Rotational Equivariance for Object Classification Using xView. | Lucius Bynum, Timothy Doster, Tegan H. Emerson, Henry Kvinge |
| 2018 | CVPR | Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery. | Timothy Doster, Tegan Emerson, Colin C. Olson |
| 2017 | CVPR | Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing. | Timothy Doster, Colin C. Olson, Erin F. Fleet, Michael Yetzbacher |
| 2017 | CVPR | A Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based Anomaly Detection Algorithms for Hyperspectral Imagery. | Colin C. Olson, Timothy Doster |
| 2016 | CVPR | Gradual DropIn of Layers to Train Very Deep Neural Networks. | Leslie N. Smith, Emily M. Hand, Timothy Doster |
| 2014 | IGARSS | Operator analysis and diffusion based embeddings for heterogeneous data fusion. | Alexander Cloninger, Wojciech Czaja, Timothy Doster |