11 citations · 14 across the 4 of their papers we have counts for
4 papers
DiMoP: Diffusion-Driven Motion Representation Learning With Frame-Level Pseudo-Classification for Skeleton-Based Action Recognition
Shanaka Ramesh Gunasekara, Wanqing Li, Nikalal Kaldera +2
Robust skeleton-based action recognition requires representations that capture a wide spectrum of motions, from subtle to moderate and strong ones. Existing methods often focus on…
Learning Disentangled Representations for Generalized Multi-view Clustering
Xin Zou, Ruimeng Liu, Chang Tang +4
Multi-View Clustering (MVC) has gained significant attention for its ability to leverage complementary information across diverse views. However, existing deep MVC methods often st…
Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition
Shanaka Ramesh Gunasekara, Wanqing Li, Philip Ogunbona +1
Traditional approaches in unsupervised or self supervised learning for skeleton-based action classification have concentrated predominantly on the dynamic aspects of skeletal seque…
Learning a Pose Lexicon for Semantic Action Recognition
Lijuan Zhou, Wanqing Li, Philip Ogunbona
This paper presents a novel method for learning a pose lexicon comprising semantic poses defined by textual instructions and their associated visual poses defined by visual feature…