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Xue-Lin Qian

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Preprint Oct 2026

Seeing through Denoising: Frequency-guided One-step Denoising for Infrared Small Target Detection

Infrared small target detection (IRSTD) is a challenging task due to the extremely small size of targets, low signal-to-noise ratios, and heavy background clutter in infrared imagery. While the progress of deep learning has advanced this field, existing methods primarily adopt discriminative paradigms that directly map...

Xue-Lin Qian, Zi-Xuan Wang, Chang Xu et al. · 0 citations
Preprint Aug 2026

MEC-Patch: Visible-Infrared Cross-Modal Adversarial Attack Driven by Intrinsic Material Emissivity Laws

MEC-Patch is proposed, a cross-modal adversarial attack framework driven by intrinsic physical laws that effectively deceives state-of-the-art multimodal detectors and exhibits high robustness within high-fidelity, physically-consistent, and multi-scene simulation environments.

Zhi-Xiang Huang, Xinbo Nie, Wen-Xuan Wang et al. · 0 citations
Jul 2026

UniRef-UAV: A Multimodal Benchmark for Universal Referring in UAV Imagery

This work introduces Universal Referring, a generalized UAV referring task that jointly expands the query modality and the output cardinality, and presents UAV-URNet, a detection-style baseline that maps heterogeneous queries into a shared query space and predicts variable-size target sets through set prediction.

Haibin Tian, Huichao Xie, Xue-Lin Qian et al. · 0 citations

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