الباحثون

Yong Zhou

المنشورات 2

نسخة أولية وصول مفتوح

End-to-End Self-Supervised RGB-T Tracking without Modality Misleading

Shenglan Li, Rui Yao, Kunyang Sun وآخرون · 2026

RGB-T object tracking leverages the complementary characteristics of visible and thermal infrared modalities to improve robustness under adverse conditions. Existing supervised methods typically rely on costly modality-aligned bounding box annotations, while most self-supervised approaches follow a two-stage pseudo-lab …

نسخة أولية وصول مفتوح

A Unified Framework and Dataset for Oriented Object Visual Grounding in Remote Sensing

Zeyu Ding, Yong Zhou, Jiaqi Zhao وآخرون · 2026

Visual grounding in remote sensing images aims to locate objects described by referring expressions. Most existing methods predict horizontal bounding boxes, which are often inaccurate for objects with arbitrary orientations. To address this limitation, we introduce O$^2$-VG, a family of models for oriented object visu …

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