3 papers
cs.CV2026
Scope-WM: Scoped Computation for Efficient Visual World Models
Chunzheng Li, Zesheng Jia, Hongda Zhang +4
Visual world models enable robotic planning by predicting future observations, but dense latent-state propagation and sample-intensive trajectory optimization incur high inference…
cs.RO2026
ARP: Enhancing Quantized Skill Abstractions via Visual Alignment and Iterative Refinement for Robotic Manipulation
Yuntian Wang, Zesheng Jia, Yuhui Duan +5
Learning visuomotor policies for long-horizon manipulation remains a fundamental challenge. Recent skill-based imitation learning methods based on discrete quantization have shown…
cs.CV2026
Move What Matters: Parameter-Efficient Domain Adaptation via Optimal Transport Flow for Collaborative Perception
Zesheng Jia, Jin Wang, Siao Liu +4
Efficient domain adaptation remains a fundamental challenge for deploying multi-agent systems across diverse environments in Vehicle-to-Everything (V2X) collaborative perception. D…