A variational approach for 3D object classification with retrieval of missing data. - Hyeonwoo Yu; Beom Hee Lee 001 (IROS, 2017)

A Bayesian approach to terrain map inference based on vibration features. - Hyeonwoo Yu; Beom Hee Lee 001 (MFI, 2017)

A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM. - Hyeonwoo Yu; Beom Hee Lee 001 (IROS, 2018)

A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM. - Hyeonwoo Yu; Beom Hee Lee 001 (CoRR, 2018)

A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM. - Hyeonwoo Yu; J. Y. Moon; Beom Hee Lee 001 (ICRA, 2019)

Zero-shot Learning via Simultaneous Generating and Learning. - Hyeonwoo Yu; Beomhee Lee (NeurIPS, 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)

Regeneration of Normal Distributions Transform for Target Lattice Based on Fusion of Truncated Gaussian Components. - Hyunki Hong; Hyeonwoo Yu; Beom Hee Lee 001 (IEEE Robotics Autom. Lett., 2019)

A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder. - Hyeonwoo Yu; Jean Oh (CoRR, 2021)

Domain Adaptive Monocular Depth Estimation With Semantic Information. - Fei Lu; Hyeonwoo Yu; Jean Oh (CoRR, 2021)

Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence. - Hyeonwoo Yu; Jean Oh (CoRR, 2021)

Anchor Distance for 3D Multi-Object Distance Estimation From 2D Single Shot. - Hyeonwoo Yu; Jean Oh (IEEE Robotics Autom. Lett., 2021)

Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder. - Hyeonwoo Yu; Jean Oh (IEEE Robotics Autom. Lett., 2022)

Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization. - Kyeongsu Kang; Minjae Lee; Hyeonwoo Yu (CoRR, 2023)

Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View. - Minjae Lee; Kyeongsu Kang; Hyeonwoo Yu (CoRR, 2023)

RGBD GS-ICP SLAM. - Seongbo Ha; Jiung Yeon; Hyeonwoo Yu (ECCV (36), 2024)

Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning. - Howoong Jun; Hyeonwoo Yu; Songhwai Oh (IROS, 2024)

Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View. - Sibaek Lee; Kyeongsu Kang; Hyeonwoo Yu (IROS, 2024)

Bayesian NeRF: Quantifying Uncertainty with Volume Density in Neural Radiance Fields. - Sibaek Lee; Kyeongsu Kang; Hyeonwoo Yu (CoRR, 2024)

Bayesian NeRF: Quantifying Uncertainty With Volume Density for Neural Implicit Fields. - Sibaek Lee; Kyeongsu Kang; Seongbo Ha; Hyeonwoo Yu (IEEE Robotics Autom. Lett., 2025)

Spatial Coordinate Transformation for 3D Neural Implicit Mapping. - Kyeongsu Kang; Seongbo Ha; Sibaek Lee; Hyeonwoo Yu (IEEE Robotics Autom. Lett., 2025)