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20242026
most citedDynamic High-frequency Convolution for Infrared Small Target Detection

8 citations · 8 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV20268 cited

Dynamic High-frequency Convolution for Infrared Small Target Detection

Ruojing Li, Chao Xiao, Qian Yin +5

Infrared small targets are typically tiny and locally salient, which belong to high-frequency components (HFCs) in images. Single-frame infrared small target (SIRST) detection is c…

cs.CV2026

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method

Yihang Luo, Jun Chen, Chao Xiao +13

The proliferation of unmanned aerial vehicles (UAVs) has created urgent demand for precise UAV monitoring. Existing RGB-based systems rely on spatial cues that degrade at small sca…

cs.CV2025

Event-based Tiny Object Detection: A Benchmark Dataset and Baseline

Nuo Chen, Chao Xiao, Yimian Dai +3

Small object detection (SOD) in anti-UAV task is a challenging problem due to the small size of UAVs and complex backgrounds. Traditional frame-based cameras struggle to detect sma…

cs.CV2025

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines

Xinyi Ying, Chao Xiao, Ruojing Li +13

Small object detection (SOD) has been a longstanding yet challenging task for decades, with numerous datasets and algorithms being developed. However, they mainly focus on either v…

cs.CV2024

Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos

Qingyu Xu, Longguang Wang, Weidong Sheng +4

Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality…

cs.CV2024

Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos

C. Xiao, W. An, Y. Zhang +5

Moving object detection in satellite videos (SVMOD) is a challenging task due to the extremely dim and small target characteristics. Current learning-based methods extract spatio-t…