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)

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)

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)

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)

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)

Acquisition of Spatially-Varying Reflectance and Surface Normals via Polarized Reflectance Fields. - Jing Yang; Pratusha Bhuvana Prasad; Qing Zhang; Yajie Zhao (CoRR, 2024)