Hyeonwoo Yu

According to our database, Hyeonwoo Yu authored at least 31 papers between 2017 and 2026.

Collaborative distances:

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

2026

3D RoA-Planner: Path Planner for Quadruped Robots in Confined Spaces Using 3D Rotatable Areas.

Yeong Woo Son, Hyunyong Lee, Hansol Kang, Ji Man Park, Seong Won Nam, Jaeyoung Oh, Bum Su Yi, Hyeonwoo Yu, Hyouk Ryeol Choi

IEEE Robotics Autom. Lett., June, 2026

GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry.

Jiung Yeon, Seongbo Ha, Hyeonwoo Yu

IEEE Robotics Autom. Lett., April, 2026

RUSH: Recursive and Scalable 3D Coarse to Fine Path Planning.

Hwajung Lee, Daegeol Ko, Jaehyuk Hur, Junwon Lee, Seongbo Ha, Jong Hwan Ko, Hyeonwoo Yu

IEEE Robotics Autom. Lett., February, 2026

LangGS-SLAM: Real-Time Language-Feature Gaussian Splatting SLAM.

Seongbo Ha, Sibaek Lee, Kyungsu Kang, Joonyeol Choi, Seungjun Tak, Hyeonwoo Yu

CoRR, February, 2026

Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics.

Howoong Jun, Seongbo Ha, Jaewon Lee, Hyeonwoo Yu, Songhwai Oh

IEEE Robotics Autom. Lett., January, 2026

2025

LAMP: Implicit Language Map for Robot Navigation.

Sibaek Lee, Hyeonwoo Yu, Giseop Kim, Sunwook Choi

IEEE Robotics Autom. Lett., December, 2025

OpenMonoGS-SLAM: Monocular Gaussian Splatting SLAM with Open-set Semantics.

Jisang Yoo, Gyeongjin Kang, Hyun-kyu Ko, Hyeonwoo Yu, Eunbyung Park

CoRR, December, 2025

AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems.

Hyun-Sik Jeong, Hanse Kim, Keun-Young Kim, Gaya Yun, Hyeonwoo Yu, Kwan Yun

CoRR, November, 2025

LEGO-SLAM: Language-Embedded Gaussian Optimization SLAM.

Sibaek Lee, Seongbo Ha, Kyeongsu Kang, Joonyeol Choi, Seungjun Tak, Hyeonwoo Yu

CoRR, November, 2025

Spatial Coordinate Transformation for 3D Neural Implicit Mapping.

Kyeongsu Kang, Seongbo Ha, Sibaek Lee, Hyeonwoo Yu

IEEE Robotics Autom. Lett., September, 2025

Efficient 3D Perception on Embedded Systems via Interpolation-Free Tri-Plane Lifting and Volume Fusion.

Sibaek Lee, Jiung Yeon, Hyeonwoo Yu

CoRR, September, 2025

Bayesian NeRF: Quantifying Uncertainty With Volume Density for Neural Implicit Fields.

Sibaek Lee, Kyeongsu Kang, Seongbo Ha, Hyeonwoo Yu

IEEE Robotics Autom. Lett., March, 2025

2024

Bayesian NeRF: Quantifying Uncertainty with Volume Density in Neural Radiance Fields.

Sibaek Lee, Kyeongsu Kang, Hyeonwoo Yu

CoRR, 2024

Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View.

Sibaek Lee, Kyeongsu Kang, Hyeonwoo Yu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning.

Howoong Jun, Hyeonwoo Yu, Songhwai Oh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

RGBD GS-ICP SLAM.

Seongbo Ha, Jiung Yeon, Hyeonwoo Yu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View.

Minjae Lee, Kyeongsu Kang, Hyeonwoo Yu

CoRR, 2023

Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization.

Kyeongsu Kang, Minjae Lee, Hyeonwoo Yu

CoRR, 2023

2022

Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder.

Hyeonwoo Yu, Jean Oh

IEEE Robotics Autom. Lett., 2022

2021

Anchor Distance for 3D Multi-Object Distance Estimation From 2D Single Shot.

Hyeonwoo Yu, Jean Oh

IEEE Robotics Autom. Lett., 2021

Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence.

Hyeonwoo Yu, Jean Oh

CoRR, 2021

Domain Adaptive Monocular Depth Estimation With Semantic Information.

Fei Lu, Hyeonwoo Yu, Jean Oh

CoRR, 2021

A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder.

Hyeonwoo Yu, Jean Oh

CoRR, 2021

2019

Regeneration of Normal Distributions Transform for Target Lattice Based on Fusion of Truncated Gaussian Components.

Hyunki Hong, Hyeonwoo Yu, Beom Hee Lee

IEEE Robotics Autom. Lett., 2019

Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM.

Hyeonwoo Yu, Beomhee Lee

CoRR, 2019

Zero-shot Learning via Simultaneous Generating and Learning.

Hyeonwoo Yu, Beomhee Lee

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM.

Hyeonwoo Yu, J. Y. Moon, Beom Hee Lee

Proceedings of the International Conference on Robotics and Automation, 2019

2018

A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM.

Hyeonwoo Yu, Beom Hee Lee

CoRR, 2018

A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM.

Hyeonwoo Yu, Beom Hee Lee

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

A Bayesian approach to terrain map inference based on vibration features.

Hyeonwoo Yu, Beom Hee Lee

Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017

A variational approach for 3D object classification with retrieval of missing data.

Hyeonwoo Yu, Beom Hee Lee

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017