Author

Yi-Hang Ding

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Preprint Oct 2026

Mind the Tail: Data Selection Through Sparse Concepts

Data selection reallocates training support across visual concepts, including objects, attributes, color, texture, and backgrounds. Different allocation strategies may produce varied downstream model behavior, especially for tail concepts supported by only a few samples. Discarding them can hurt test-time robustness, w...

Zi-Heng Zhang, Neha Hulkund, Colin Lee et al. · 0 citations

Preprint Oct 2026

TRIM-ReID: Duplication-Aware Token Reduction and Modality-Aligned Interaction for Multi-Modal Object Re-Identification

Multi-modal object re-identification exploits complementary RGB, near-infrared (NIR), and thermal-infrared (TIR) observations to retrieve target objects. However, existing methods commonly employ visual encoders optimized for global image-text alignment and select tokens using learned importance scores. Such designs fa...

Wan-Ke Xia, Rui-Ding Zhu, Xing-Guo Xu et al. · 0 citations