Disentangling Rotation and Translation from SE(3)-Equivariant Features for Shape Assembly
Hee-Jun Jung, Uigeun Ahn, Jin-Hwi Park, Kangil Kim., ECCV, 2026.
Publications
You can also find my articles on my Google Scholar profile.
Conference
Layer-Centric Factors of Variation Disentanglement for Task- and Model-Agnostic Generalization
Hee-Jun Jung, Jongmin Park, Minwoo Kang, Hoyong Kim, Kangil Kim., ICML, 2026.
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim., AISTATS, 2026.
Symmetric Space Learning for Combinatorial Generalization
Jaehyoung Jeong, Hee-Jun Jung, Kangil Kim., ICLR, 2026.
Journal
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim., Transactions on Machine Learning Research (TMLR), 2024.
Feature structure distillation with Centered Kernel Alignment in BERT transferring
Hee-Jun Jung, Doyeon Kim, Seung-Hoon Na, Kangil Kim., Expert Systems with Applications, 2023.
pre-print / under review
Consistent Symmetry Representation over Latent Factors of Variation
Hee-Jun Jung, Hoyong Kim, Ilmin Kang, Kangil Kim., International Conference on Learning Representations (ICLR under review), 2025.