Meida Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Temporal Continuity

Semantic Segmentation

Top Venues

J. Comput. Civ. Eng.

Publications

Rong Liu, Rui Xu, Yue Hu, Meida Chen, Andrew Feng
AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field. CoRR (2024)
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)
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)
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. CoRR (2023)
Zifan Yu, Meida Chen, Zhikang Zhang, Suya You, Fengbo Ren
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation. CoRR (2023)
Meida Chen, Qingyong Hu, Thomas Hugues, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. CoRR (2022)
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)
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) (2021)
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 (2021)
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 (2020)
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)
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 (2020)
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 (2020)
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 (2020)
Meida Chen, Ryan McAlinden, Ryan P. Spicer, Lucio Soibelman
Semantic Modeling of Outdoor Scenes for the Creation of Virtual Environments and Simulations. HICSS (2019)