3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
MoST: Motion Style Transformer between Diverse Action Contents
Boeun Kim, Jungho Kim, Hyung Jin Chang +1
While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between mo…
cs.CV2022★ 3 cited
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning
Boeun Kim, Hyung Jin Chang, Jungho Kim +1
We propose a new transformer model for the task of unsupervised learning of skeleton motion sequences. The existing transformer model utilized for unsupervised skeleton-based actio…
cs.LG2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Jiwoong Park, Junho Cho, Hyung Jin Chang +1
Most of the existing literature regarding hyperbolic embedding concentrate upon supervised learning, whereas the use of unsupervised hyperbolic embedding is less well explored. In…