| Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset M Chen, Q Hu, Z Yu, H Thomas, A Feng, Y Hou, K McCullough, F Ren, ... arXiv preprint arXiv:2203.09065, 2022 | 49 | 2022 |
| 3D photogrammetry point cloud segmentation using a model ensembling framework M Chen, A Feng, K McCullough, PB Prasad, R McAlinden, L Soibelman Journal of Computing in Civil Engineering 34 (6), 04020048, 2020 | 29 | 2020 |
| Fully automated photogrammetric data segmentation and object information extraction approach for creating simulation terrain M Chen, A Feng, K McCullough, PB Prasad, R McAlinden, L Soibelman, ... arXiv preprint arXiv:2008.03697, 2020 | 11 | 2020 |
| Semantic segmentation and data fusion of microsoft bing 3d cities and small uav-based photogrammetric data M Chen, A Feng, K McCullough, PB Prasad, R McAlinden, L Soibelman arXiv preprint arXiv:2008.09648, 2020 | 10 | 2020 |
| Graph neural network based behavior prediction to support multi-agent reinforcement learning in military training simulations L Liu, N Gurney, K McCullough, V Ustun 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 7 | 2021 |
| Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models M Chen, A Feng, K McCullough, PB Prasad, R McAlinden, L Soibelman arXiv preprint arXiv:2008.09647, 2020 | 7 | 2020 |
| Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach M Chen, A Feng, Y Hou, K McCullough, PB Prasad, L Soibelman arXiv preprint arXiv:2109.12221, 2021 | 4 | 2021 |
| Introducing RIDE: Lowering the Barrier of Entry to Simulation and Training through the Rapid Integration & Development Environment A Hartholt, K McCullough, E Fast, A Reilly, A Leeds, S Mozgai, V Ustun, ... Proceedings of the 2021 Virtual Simulation Innovation Workshop, 2021 | 4 | 2021 |
| Ground material segmentation for UAV-based photogrammetric 3D Data: a 2D-3D hybrid approach C Meida, F Andrew, Y Hou, K Mccullough, L Soibelman 2021 Interservice/Industry Training, Simulation, and Education Conference (I …, 2021 | 2 | 2021 |
| Rapid prototyping for simulation and training with the Rapid Integration & Development Environment (RIDE) A Hartholt, K McCullough, E Fast, A Leeds, S Mozgai, T Aris, V Ustun, ... Proceedings of the 2021 Interservice/Industry Training, Simulation, and …, 2021 | 1 | 2021 |
| Utilizing satellite imagery datasets and machine learning data models to evaluate infrastructure change in undeveloped regions K McCullough, A Feng, M Chen, R McAlinden arXiv preprint arXiv:2009.00185, 2020 | 1 | 2020 |
| Demonstrating the Rapid Integration & Development Environment (RIDE) Embodied Conversational Agent (ECA) and Multiagent Capabilities A Hartholt, E Fast, A Leeds, K Kim, A Gordon, K McCullough, V Ustun, ... Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | | 2022 |
