Hao-Xiang Lei

This work proposes an audio-based localization framework with adaptive temporal correspondence that achieves competitive 3D localization accuracy with substantially reduced temporal correspondence latency compared to SOTA methods and exhibits strong generalization across scenarios.

Skip expensive manual annotation: this method extracts accurate 3D UAV trajectories and classifications directly from readily available internet videos.