Inyoung Oh

Geometric Deep Learning · 3D Perception and Representation Learning · Mixed Reality and Spatial Computing

International

A Mixed Reality-based Remote Collaboration Framework Using Improved Pose Estimation
A Mixed Reality-based Remote Collaboration Framework Using Improved Pose Estimation
Inyoung Oh, Gilsang Jang, Jinho Song, Moongu Son, Daewoon Kim, Junsang Yun, Kwanghee Ko
Computers in Industry (2026)
paper
Improved semantic segmentation network using normal vector guidance for LiDAR point clouds
Improved semantic segmentation network using normal vector guidance for LiDAR point clouds
Minsung Kim, Inyoung Oh, Dongho Yun, Kwanghee Ko
Journal of Computational Design and Engineering (2023)
paper
Automated recognition of 3D pipelines from point clouds
Automated recognition of 3D pipelines from point clouds
Inyoung Oh, Kwanghee Ko
The Visual Computer (2020)
paper
Automatic detection of cylindrical objects from unorganized point cloud
Automatic detection of cylindrical objects from unorganized point cloud
Inyoung Oh, Kwanghee Ko
EuroVR (2018)
A RANSAC-based Method for Detection of Multiple Spheres From a Point Cloud
A RANSAC-based Method for Detection of Multiple Spheres From a Point Cloud
Inyoung Oh, Dongho Yun, Daewoon Kim, Kwanghee Ko
Computer Graphics International (2017)
program

Under review

Enhanced Point Cloud Normal Estimation via Multi-Scale Geometric Feature Fusion and Attention Mechanism
Enhanced Point Cloud Normal Estimation via Multi-Scale Geometric Feature Fusion and Attention Mechanism
Inyoung Oh, Jinho Song, Minsung Kim, Dongho Yun, Kwanghee Ko
Under review (2025)

Domestic

[🏆 Best Poster Award] Enhanced Boundary-Aware Semantic Segmentation via Deep Learning and Geometric Analysis
Inyoung Oh, Minsung Kim, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2025

[🏆 Best Poster Award] Deep-Learning–Based Camera Pose Estimation and Mixed Reality Using Smart Glasses
Inyoung Oh, Minsung Kim, Gilsang Jang, Junsang Yun, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2024

A Deep-Learning Framework for User Joint Estimation and Camera Pose Estimation
Junsang Yun, Gilsang Jang, Inyoung Oh, Jinho Song, Daewoon Kim, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2023

Dynamic Projection-Mapping Framework via Object Pose Estimation
Gilsang Jang, Jinho Song, Inyoung Oh, Moongu Son, Daewoon Kim, Junsang Yun, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2023

[🏆 Best Poster Award] Robust Object Recognition and Pose Estimation Under Occlusion Using Deep Learning
Inyoung Oh, Gilsang Jang, Junsang Yun, Moongu Son, Jinho Song, Daewoon Kim, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2023

Extracting Objects of Interest From Point Clouds via Marker-Based Registration
Jinho Song, Inyoung Oh, Gilsang Jang, Moongu Son, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2023

Depth-Map–Driven Object Recognition and User Pose Estimation for Mixed Reality Using Deep Learning
Inyoung Oh, Jinho Song, Gilsang Jang, Moongu Son, Daewoon Kim, Minseong Kim, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2023

Robust Marker-Based Real-Time Registration Correction
Jinho Song, Inyoung Oh, Gilsang Jang, Kwanghee Ko
The Korea Information Technology Society (KITS) Fall Conference 2022

An RGB-D–Based Automatic Annotation Tool for Object Recognition
Inyoung Oh, Jinho Song, Gilsang Jang, Moongu Son, Daewoon Kim, Kwanghee Ko
The Korea Information Technology Society (KITS) Fall Conference 2022

[🏆 Best Paper Award] Generating Synthetic Training Datasets to Improve 6-DoF Pose Estimation Across Lighting Conditions
Gilsang Jang, Moongu Son, Junsang Yun, Inyoung Oh, Jinho Song, Kwanghee Ko
The Korea Information Technology Society (KITS) Fall Conference 2022

[🏆 Best Poster Award] A Synthetic-Dataset Generation Framework for Training 6-DoF Pose Estimation Networks
Gilsang Jang, Moongu Son, Inyoung Oh, Daewoon Kim, Jinho Song, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2022

Improved Semantic SLAM Using LiDAR Normal Vectors
Minsung Kim, Inyoung Oh, Daewoon Kim, Jihoon Park, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2021

[🏆 Best Poster Award] Object-Detection-Based 3D LiDAR Intensity Calibration and Real-Time Detection of Clustered Object Candidates Using Deep Learning
Inyoung Oh, Minsung Kim, Moongu Son, Gilsang Jang, Junsang Yun, Jinho Song, Daewoon Kim, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2021

Semi-Real-Time Plane Detection Using Depth Images
Inyoung Oh, Daewoon Kim, Jinho Song, Jihoon Park, Moongu Son, Junsang Yun, Gilsang Jang, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2020

[🏆 Best Poster Award] Analysis of Plane Normal-Vector Estimation and Deep-Learning–Based Selection of Parameter k
Inyoung Oh, Junhee Lee, Daewoon Kim, Jihoon Park, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2020

Augmented-Reality Technologies Leveraging Indoor Localization
Jihoon Park, Inyoung Oh, Junhee Lee, Sangmin Park, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2019

Detection of Spheres and Cylinders in Point Clouds Using RANSAC and the 2D Hough Transform
Inyoung Oh, Minsung Kim, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2018

Projection Mapping on Freeform Surfaces
Sunghyun Moon, Jineon Park, Inyoung Oh, Garam Song, Kwanghee Ko
Society for Computational Design and Engineering (CDE) Conference 2017

Patents

Automated System for Detecting 3D Pipeline
Kwanghee Ko, Inyoung Oh
Registration No.: 10-2135828-0000 (July 08, 2020); Technology Transfer $2,000.