Kyle McCullough

According to our database, Kyle McCullough authored at least 10 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset.

Meida Chen, Qingyong Hu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman

CoRR, 2022

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset.

Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Demonstrating the Rapid Integration & Development Environment (RIDE): Embodied Conversational Agent (ECA) and Multiagent Capabilities.

Arno Hartholt, Ed Fast, Andrew Leeds, Kevin Kim, Andrew Gordon, Kyle McCullough, Volkan Ustun, Sharon Mozgai

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach.

Meida Chen, Andrew Feng, Yu Hou, Kyle McCullough, Pratusha Bhuvana Prasad, Lucio Soibelman

CoRR, 2021

Graph Neural Network Based Behavior Prediction to Support Multi-Agent Reinforcement Learning in Military Training Simulations.

Lixing Liu, Nikolos Gurney, Kyle McCullough, Volkan Ustun

Proceedings of the Winter Simulation Conference, 2021

2020

3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework.

Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman

J. Comput. Civ. Eng., 2020

Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions.

Kyle McCullough, Andrew Feng, Meida Chen, Ryan McAlinden

CoRR, 2020

Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data.

Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman

CoRR, 2020

Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models.

Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman

CoRR, 2020

Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain.

Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman, Mike Enloe

CoRR, 2020