Publications

(C: conference / J: journal / W: workshop / P: preprint / *: equal contribution)

2024

[C8] Graph Geometry-Preserving Autoencoders

Jungbin Lim*, Jihwan Kim*, Yonghyeon Lee, Cheongjae Jang, and Frank C. Park

ICML 2024: International Conference on Machine Learning

[W3] Leveraging Equivariant Representations of 3D Point Clouds for SO(3)-Equivariant 6-DoF Grasp Pose Generation

Byeongdo Lim*, Jongmin Kim*, Jihwan Kim, Yonghyeon Lee, and Frank C. Park

ICRA 2024 Workshop on 3D Visual Representations for Robot Manipulation

[W2] Behavior-Controllable Stable Dynamics Models in Riemannian Configuration Manifolds

Byeongho Lee*, Yonghyeon Lee*, Junsu Ha*, and Frank C. Park 

ICRA 2024 Workshop Innovations and Applications of Human Modelling in Physical Human-Robot Interaction

[P3] MMP++: Motion Manifold Primitives with Parametric Curve Models

Yonghyeon Lee 

Arxiv 2024

Arxiv

2023

[J4] NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects

Junho Lee, Sang Min kim, Yonghyeon Lee, and Young Min Kim 

RA-Letters 2023: IEEE Robotics and Automation Letters

Code, Proceeding

[P2] A Geometric Perspective on Autoencoders

Yonghyeon Lee 

Arxiv 2023 (A summary of Y. Lee's Ph. D. Thesis)

Arxiv

[C7] Equivariant Motion Manifold Primitives

Byeongho Lee*, Yonghyeon Lee*, Seungyeon Kim, Minjun Son, and Frank C. Park

CoRL 2023: Conference on Robot Learning

Code, Video, Poster, OpenReview

[C6] Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves

Seungyeon Kim*, Young Hun Kim*, Yonghyeon Lee, and Frank C. Park

CoRL 2023: Conference on Robot Learning

OpenReview

[W1] On Explicit Curvature Regularization in Deep Generative Models

Yonghyeon Lee, and Frank C. Park

TAG-ML in ICML 2023 (Annual Topology, Algebra, and Geometry in Machine Learning Workshop)

Arxiv, OpenReview, Poster

[C5] Geometrically regularized autoencoders for non-Euclidean data

Cheongjae Jang, Yonghyeon Lee, Yung-Kyun Noh, and Frank C. Park

ICLR 2023: International Conference on Learning Representations 

PDF, OpenReview

[Ph.D. Thesis] Geometric Methods for Manifold Representation Learning 

Yonghyeon Lee (Supervisor: Frank C. Park)

PDF, Abstract, Slide

2022

[C4] SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations

Seungyeon Kim, Byeongdo Lim, Yonghyeon Lee, and Frank C. Park

CoRL 2022: Conference on Robot Learning (oral presentation, 6.5%, 33/504)

Proceeding, Code, OpenReview

[P1] Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers 

Sangwoong Yoon, Jinwon Choi, Yonghyeon Lee, Yung-Kyun Noh, and Frank C. Park

Arxiv 2022

Arxiv, Code

[J3] DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects

Seungyeon Kim*, Taegyun Ahn*, Yonghyeon Lee, Jihwan Kim, Michael Yu Wang, and Frank C. Park

T-ASE 2022: IEEE Transactions on Automation Science and Engineering

Code, IEEE Xplore

[C3] A Statistical Manifold Framework for Point Cloud Data 

Yonghyeon Lee*, Seungyeon Kim*, Jinwon Choi, and Frank C. Park

ICML 2022: International Conference on Machine Learning

PDF, Proceeding, Code, Video, Slide, Poster

[C2] Regularized Autoencoders for Isometric Representation Learning

Yonghyeon Lee, Sangwoong Yoon, Minjun Son, and Frank C. Park

ICLR 2022: International Conference on Learning Representations

PDF, Code, Video, Slide, Poster, OpenReview

2021

[C1] Neighborhood Reconstructing Autoencoders

Yonghyeon Lee, Hyukjun Kwon, and Frank C. Park

NeurIPS 2021: Conference on Neural Information Processing Systems

PDF, Proceeding, Code, Video, Slide, Poster, OpenReivew

[J2] IMAT: The Iterative Medial Axis Transform

Yonghyeon Lee, Jonghyuk Baek, Youngmin Kim, and Frank C. Park

CGF 2021: Computer Graphics Forum

PDF, Article

2020

[J1] Context awareness and step length estimation by shape distance and H-features 

Daehyun Kim, Yonghyeon Lee, and Chan Gook Park

IJCAS 2020: International Journal of Control, Automation, and Systems

Article