Meida Chen

According to our database, Meida Chen authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

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

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

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

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

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

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

2019

Semantic Modeling of Outdoor Scenes for the Creation of Virtual Environments and Simulations.

Meida Chen, Ryan McAlinden, Ryan P. Spicer, Lucio Soibelman

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019