2 papers
cs.RO2026
Native Video-Action Pretraining for Generalizable Robot Control
Qihang Zhang, Lin Li, Luyao Zhang +26
The advent of video-action models offers a promising path for robot control. Nevertheless, we argue that repurposing video generative models designed for digital content creation i…
cs.CV2026
Learning Probabilistic Embeddings for Unsupervised Action Segmentation
Shuai Li, Duc Manh Vu, Juergen Gall
This paper concerns the problem of unsupervised temporal action segmentation for long, untrimmed videos. Recent successful approaches follow a joint representation learning and clu…