3 papers
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…
cs.CV2025
INSTINCT: Instance-Level Interaction Architecture for Query-Based Collaborative Perception
Yunjiang Xu, Lingzhi Li, Jin Wang +2
Collaborative perception systems overcome single-vehicle limitations in long-range detection and occlusion scenarios by integrating multi-agent sensory data, improving accuracy and…
cs.CV2025
CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus
Yunjiang Xu, Lingzhi Li, Jin Wang +4
Collaborative perception, fusing information from multiple agents, can extend perception range so as to improve perception performance. However, temporal asynchrony in real-world e…