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2020 – today
- 2024
[c6]Seongbo Ha
, Jiung Yeon, Hyeonwoo Yu:
RGBD GS-ICP SLAM. ECCV (36) 2024: 180-197- [i12]Seongbo Ha, Jiung Yeon, Hyeonwoo Yu:
RGBD GS-ICP SLAM. CoRR abs/2403.12550 (2024) - [i11]Sibeak Lee, Kyeongsu Kang, Hyeonwoo Yu:
Bayesian NeRF: Quantifying Uncertainty with Volume Density in Neural Radiance Fields. CoRR abs/2404.06727 (2024) - 2023
- [i10]Kyeongsu Kang, Minjae Lee, Hyeonwoo Yu:
Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization. CoRR abs/2303.06308 (2023) - [i9]Minjae Lee, Kyeongsu Kang, Hyeonwoo Yu:
Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View. CoRR abs/2303.06335 (2023) - 2022
- [j3]Hyeonwoo Yu, Jean Oh:
Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder. IEEE Robotics Autom. Lett. 7(2): 2162-2169 (2022) - 2021
- [j2]Hyeonwoo Yu, Jean Oh:
Anchor Distance for 3D Multi-Object Distance Estimation From 2D Single Shot. IEEE Robotics Autom. Lett. 6(2): 3405-3412 (2021) - [i8]Hyeonwoo Yu, Jean Oh:
A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder. CoRR abs/2101.10391 (2021) - [i7]Hyeonwoo Yu, Jean Oh:
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot. CoRR abs/2101.10399 (2021) - [i6]Fei Lu, Hyeonwoo Yu, Jean Oh:
Domain Adaptive Monocular Depth Estimation With Semantic Information. CoRR abs/2104.05764 (2021) - [i5]Hyeonwoo Yu, Jean Oh:
Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence. CoRR abs/2104.07077 (2021)
2010 – 2019
- 2019
- [j1]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): 684-691 (2019) - [c5]Hyeonwoo Yu, J. Y. Moon, Beom Hee Lee:
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM. ICRA 2019: 5866-5872 - [c4]Hyeonwoo Yu, Beomhee Lee:
Zero-shot Learning via Simultaneous Generating and Learning. NeurIPS 2019: 46-56 - [i4]Hyeonwoo Yu, Beomhee Lee:
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM. CoRR abs/1907.09760 (2019) - [i3]Hyeonwoo Yu, Beomhee Lee:
Zero-shot Learning via Simultaneous Generating and Learning. CoRR abs/1910.09446 (2019) - 2018
- [c3]Hyeonwoo Yu, Beom Hee Lee:
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM. IROS 2018: 3605-3612 - [i2]Hyeonwoo Yu, Beom Hee Lee:
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM. CoRR abs/1808.10180 (2018) - [i1]Hyeonwoo Yu, Beom Hee Lee:
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM. CoRR abs/1809.05225 (2018) - 2017
- [c2]Hyeonwoo Yu, Beom Hee Lee:
A variational approach for 3D object classification with retrieval of missing data. IROS 2017: 5922-5927 - [c1]Hyeonwoo Yu, Beom Hee Lee:
A Bayesian approach to terrain map inference based on vibration features. MFI 2017: 272-277
Coauthor Index
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