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Haolin Qin

3 accepted papers

2025

HSOD-BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection

AAAI 2025technical

Salient Object Detection (SOD) is crucial in computer vision, yet RGB-based methods face limitations in challenging scenes, such as small objects and similar color features. Hyperspectral images provide a promising solution for more accurate Hyperspectral Salient Object Detection (HSOD) by abundant…

Cited by 0SourcePDFScholar
2025

MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking

NeurIPS 2025poster

Drone-based multi-object tracking is essential yet highly challenging due to small targets, severe occlusions, and cluttered backgrounds. Existing RGB-based multi-object tracking algorithms heavily depend on spatial appearance cues such as color and texture, which often degrade in aerial views, comp…

Cited by 0SourcecodeScholar
2025

MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking

CVPR 2025poster

UAV tracking faces significant challenges in real-world scenarios, such as small-size targets and occlusions, which limit the performance of RGB-based trackers. Multispectral images (MSI), which capture additional spectral information, offer a promising solution to these challenges. However, progres…