2 papers
cs.RO2026
A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics
Fawad Javed Fateh, Ali Shah Ali, Murad Popattia +4
We present a novel hierarchical spatiotemporal action tokenizer for in-context imitation learning. We first propose a hierarchical approach, which consists of two successive levels…
cs.CV2025
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion
Quoc-Huy Tran, Muhammad Ahmed, Murad Popattia +3
This paper presents a self-supervised temporal video alignment framework which is useful for several fine-grained human activity understanding applications. In contrast with the st…