This work introduces \the authors', which compresses frame-to-frame changes into latent actions and predicts next-frame features during end-to-end video--language alignment and achieves competitive recognition with faster inference and smaller INT4 accuracy drops than V-JEPA2/2.1.
Jiajun Cheng, Sainan Liu, Subarna Tripathi et al.· 0 citations
Multi-arm robotic harvesting offers a promising path to improve harvesting efficiency and reduce reliance on manual labor. However, practical deployment remains challenging because the system must generalize across diverse environments while efficiently coordinating multiple arms in a shared workspace. Existing methods...
Vrishan Inukollu, Adyan Zaman, Anvi Kudaraya et al.· 0 citations
Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks without human intervention. However, physical tasks require agents to continuously observe the environment, make consequential actions, and remain effective as the environment changes. Existing approaches eith...
Asynchronous federated learning improves the efficiency of conventional synchronous protocols by integrating updates as they arrive. However, asynchrony and data heterogeneity make learning objectives at global and local levels inherently inconsistent—global optimization trajectories can conflict with ongoing local upd...
Jiayun Zhang, Shuheng Li, Haiyu Huang et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
