Yonghyeon Lee

Orcid: 0000-0001-7490-9602

According to our database1, Yonghyeon Lee authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects.
IEEE Robotics Autom. Lett., January, 2024

2023
DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects.
IEEE Trans Autom. Sci. Eng., July, 2023

Isometric Motion Manifold Primitives.
CoRR, 2023

A Geometric Perspective on Autoencoders.
CoRR, 2023

On Explicit Curvature Regularization in Deep Generative Models.
Proceedings of the Topological, 2023

Geometrically regularized autoencoders for non-Euclidean data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Equivariant Motion Manifold Primitives.
Proceedings of the Conference on Robot Learning, 2023

Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves.
Proceedings of the Conference on Robot Learning, 2023

2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers.
CoRR, 2022

A Statistical Manifold Framework for Point Cloud Data.
Proceedings of the International Conference on Machine Learning, 2022

Regularized Autoencoders for Isometric Representation Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations.
Proceedings of the Conference on Robot Learning, 2022

2021
IMAT: The Iterative Medial Axis Transform.
Comput. Graph. Forum, 2021

Neighborhood Reconstructing Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017
Extracting the Source Code Context to Predict Import Changes using GPES.
KSII Trans. Internet Inf. Syst., 2017

2016
How to Measure Quality of Affordable 3D Printing: Cultivating Quantitative Index in the User Community.
Proceedings of the HCI International 2016 - Posters' Extended Abstracts, 2016


  Loading...