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2020 – today
- 2025
[i11]Yue Hu, Rong Liu, Meida Chen, Peter A. Beerel, Andrew Feng:
SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting. CoRR abs/2501.07015 (2025)- [i10]Rong Liu, Dylan Sun, Meida Chen, Yue Wang, Andrew Feng:
Deformable Beta Splatting. CoRR abs/2501.18630 (2025) - 2024
- [c4]Zifan Yu, Erfan Bank Tavakoli, Meida Chen, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren:
Tokenmotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection VIA Learnable Token Selection. ICASSP 2024: 2875-2879 - [i9]Rong Liu, Rui Xu, Yue Hu, Meida Chen, Andrew Feng:
AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field. CoRR abs/2405.12369 (2024) - [i8]Jiuyi Xu, Meida Chen, Andrew Feng, Zifan Yu, Yangming Shi:
Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework. CoRR abs/2412.06268 (2024) - 2023
- [c3]Zifan Yu, Meida Chen, Zhikang Zhang, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren:
TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation. IROS 2023: 5864-5869 - [i7]Zifan Yu, Meida Chen, Zhikang Zhang, Suya You, Fengbo Ren:
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation. CoRR abs/2302.08594 (2023) - 2022
- [c2]Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. BMVC 2022: 429 - [i6]Meida Chen, Qingyong Hu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. CoRR abs/2203.09065 (2022) - 2021
- [j2]Yu Hou
, Meida Chen, Rebekka Volk, Lucio Soibelman:
An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets. Remote. Sens. 13(21): 4357 (2021) - [i5]Meida Chen, Andrew Feng, Yu Hou, Kyle McCullough, Pratusha Bhuvana Prasad, Lucio Soibelman:
Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach. CoRR abs/2109.12221 (2021) - 2020
- [j1]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework. J. Comput. Civ. Eng. 34(6) (2020) - [i4]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman, Mike Enloe:
Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain. CoRR abs/2008.03697 (2020) - [i3]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models. CoRR abs/2008.09647 (2020) - [i2]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data. CoRR abs/2008.09648 (2020) - [i1]Kyle McCullough, Andrew Feng, Meida Chen, Ryan McAlinden:
Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions. CoRR abs/2009.00185 (2020)
2010 – 2019
- 2019
- [c1]Meida Chen, Ryan McAlinden, Ryan P. Spicer, Lucio Soibelman:
Semantic Modeling of Outdoor Scenes for the Creation of Virtual Environments and Simulations. HICSS 2019: 1-10
Coauthor Index
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