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Kyle McCullough
Kyle McCullough
Director of Modeling & Simulation, University of Southern California - Institute for Creative Technologies
Bestätigte E-Mail-Adresse bei ict.usc.edu - Startseite
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Zitiert von
Zitiert von
Jahr
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
582022
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
292020
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
122020
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
102021
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
102020
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
72020
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, ...
2021 Virtual Simulation Innovation Workshop, 2021
52021
Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset. arXiv 2022
M Chen, Q Hu, T Hugues, A Feng, Y Hou, K McCullough, L Soibelman
arXiv preprint arXiv:2203.09065, 0
5
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
42021
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
32020
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
22021
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
12021
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
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