Login / Signup
Hyeonwoo Yu
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 14
Top Topics
Data Imputation
Data Association
Distance Estimation
Multi Object
Top Venues
CoRR
IEEE Robotics Autom. Lett.
NeurIPS
</>
Publications
</>
Seongbo Ha
,
Jiung Yeon
,
Hyeonwoo Yu
RGBD GS-ICP SLAM.
CoRR
(2024)
Sibeak Lee
,
Kyeongsu Kang
,
Hyeonwoo Yu
Bayesian NeRF: Quantifying Uncertainty with Volume Density in Neural Radiance Fields.
CoRR
(2024)
Kyeongsu Kang
,
Minjae Lee
,
Hyeonwoo Yu
Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization.
CoRR
(2023)
Minjae Lee
,
Kyeongsu Kang
,
Hyeonwoo Yu
Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View.
CoRR
(2023)
Hyeonwoo Yu
,
Jean Oh
Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder.
IEEE Robotics Autom. Lett.
7 (2) (2022)
Hyeonwoo Yu
,
Jean Oh
Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence.
CoRR
(2021)
Hyeonwoo Yu
,
Jean Oh
Anchor Distance for 3D Multi-Object Distance Estimation From 2D Single Shot.
IEEE Robotics Autom. Lett.
6 (2) (2021)
Fei Lu
,
Hyeonwoo Yu
,
Jean Oh
Domain Adaptive Monocular Depth Estimation With Semantic Information.
CoRR
(2021)
Hyeonwoo Yu
,
Jean Oh
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot.
CoRR
(2021)
Hyeonwoo Yu
,
Jean Oh
A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder.
CoRR
(2021)
Hyeonwoo Yu
,
Beomhee Lee
Zero-shot Learning via Simultaneous Generating and Learning.
CoRR
(2019)
Hyeonwoo Yu
,
Beomhee Lee
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM.
CoRR
(2019)
Hyeonwoo Yu
,
Beomhee Lee
Zero-shot Learning via Simultaneous Generating and Learning.
NeurIPS
(2019)
Hyunki Hong
,
Hyeonwoo Yu
,
Beom Hee Lee
Regeneration of Normal Distributions Transform for Target Lattice Based on Fusion of Truncated Gaussian Components.
IEEE Robotics Autom. Lett.
4 (2) (2019)