Semantic Modeling of Outdoor Scenes for the Creation of Virtual Environments and Simulations. - Meida Chen; Ryan McAlinden; Ryan P. Spicer; Lucio Soibelman (HICSS, 2019)

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)

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)

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)

An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets. - Yu Hou; Meida Chen; Rebekka Volk; Lucio Soibelman (Remote. Sens., 2021)

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 (BMVC, 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)

TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation. - Zifan Yu; Meida Chen; Zhikang Zhang; Suya You; Raghuveer Rao; Sanjeev Agarwal; Fengbo Ren (IROS, 2023)

TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation. - Zifan Yu; Meida Chen; Zhikang Zhang; Suya You; Fengbo Ren (CoRR, 2023)

AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field. - Rong Liu; Rui Xu; Yue Hu; Meida Chen; Andrew Feng (BMVC, 2024)

Tokenmotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection VIA Learnable Token Selection. - Zifan Yu; Erfan Bank Tavakoli; Meida Chen; Suya You; Raghuveer Rao; Sanjeev Agarwal; Fengbo Ren (ICASSP, 2024)

Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework. - Jiuyi Xu; Meida Chen; Andrew Feng; Zifan Yu; Yangming Shi (CoRR, 2024)

An Aerial Photogrammetry Benchmark Dataset for Point Cloud Segmentation and Style Translation. - Meida Chen; Kangle Han; Zifan Yu; Andrew Feng; Yu Hou; Suya You; Lucio Soibelman (Remote. Sens., 2024)

Deformable Beta Splatting. - Rong Liu; Dylan Sun 001; Meida Chen; Yue Wang; Andrew Feng (CoRR, 2025)

SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting. - Yue Hu; Rong Liu; Meida Chen; Peter A. Beerel; Andrew Feng (Proc. ACM Comput. Graph. Interact. Tech., 2025)

Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions. - Jintang Xue; Ganning Zhao; Jie-En Yao; Hong-En Chen; Yue Hu; Meida Chen; Suya You; C.-C. Jay Kuo (CoRR, 2025)