5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Hierarchical Fine-Grained Aerial Object Detection
Yan Zhang, Fang Xu, Wen Yang +1
Fine-grained aerial object detection, driven by the intrinsic granularity of real-world object categories, is crucial for advanced scene understanding in remote sensing. Existing m…
cs.CV2025★ 1 cited
Mitigating the Impact of Prominent Position Shift in Drone-based RGBT Object Detection
Yan Zhang, Wen Yang, Chang Xu +3
Drone-based RGBT object detection plays a crucial role in many around-the-clock applications. However, real-world drone-viewed RGBT data suffers from the prominent position shift p…
cs.CV2024★ 5 cited
Robust Tiny Object Detection in Aerial Images amidst Label Noise
Haoran Zhu, Chang Xu, Wen Yang +3
Precise detection of tiny objects in remote sensing imagery remains a significant challenge due to their limited visual information and frequent occurrence within scenes. This chal…