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• Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models
  2020 · 4 citations
• Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data
  2020 · 3 citations
• Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain
  2020 · 2 citations
• AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field
  2024 · 2 citations
• Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach
  2021 · 1 citations
• NanoGS: Training-Free Gaussian Splat Simplification
  2026
• Splat Feature Solver
  2025
• TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
  2023
• TokenMotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection Via Learnable Token Selection
  2023
• Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework
  2024