3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2026
V2X-DSC: Multi-Agent Collaborative Perception with Distributed Source Coding Guided Communication
Yuankun Zeng, Shaohui Li, Zhi Li +3
Collaborative perception improves 3D understanding by fusing multi-agent observations, yet intermediate-feature sharing faces strict bandwidth constraints as dense BEV features sat…
cs.LG2026
From Observations to Events: Event-Aware World Model for Reinforcement Learning
Zhao-Han Peng, Shaohui Li, Zhi Li +3
While model-based reinforcement learning (MBRL) improves sample efficiency by learning world models from raw observations, existing methods struggle to generalize across structural…
cs.MM2025★ 3 cited
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects
Shulan Ruan, Rongwei Wang, Xuchen Shen +8
Multi-sensor fusion perception (MSFP) is a key technology for embodied AI, which can serve a variety of downstream tasks (e.g., 3D object detection and semantic segmentation) and a…