8 papers
Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
Yanggang Xu, Jirong Zha, Weijie Hong +5
In disaster scenarios, establishing robust emergency communication networks is critical, and unmanned aerial vehicles (UAVs) offer a promising solution to rapidly restore connectiv…
AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning
Jirong Zha, Yuxuan Fan, Tianyu Zhang +4
Multimodal Large Language Models (MLLMs) have shown promise in single-agent vision tasks, yet benchmarks for evaluating multi-agent collaborative perception remain scarce. This gap…
Flight Dynamics to Sensing Modalities: Exploiting Drone Ground Effect for Accurate Edge Detection
Chenyu Zhao, Jingao Xu, Ciyu Ruan +9
Drone-based rapid and accurate environmental edge detection is highly advantageous for tasks such as disaster relief and autonomous navigation. Current methods, using radars or cam…
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking
Jirong Zha, Yuxuan Fan, Kai Li +4
State estimation is challenging for 3D object tracking with high maneuverability, as the target's state transition function changes rapidly, irregularly, and is unknown to the esti…
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu, Jirong Zha, Ding Li +1
Self-supervised learning shows promise in harnessing extensive unlabeled data, but it also confronts significant privacy concerns, especially in vision. In this paper, we perform m…
How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM
Jirong Zha, Yuxuan Fan, Xiao Yang +2
3D spatial understanding is essential in real-world applications such as robotics, autonomous vehicles, virtual reality, and medical imaging. Recently, Large Language Models (LLMs)…