Zhaojun Liu — accepted AI-conference papers

2026

Chain-of-Thought Guided Multi-Modal Object Re-Identification

Ya Gao, Shihao Li, Zhaojun Liu, Aihua Zheng, Chenglong Li, Jin Tang

CVPR 2026

With the rise of visual-language models, multi-modal ReID retrieves specific targets by integrating different spectra and textual descriptions. Existing methods merely adopt descriptive representation learning for image-text, ignoring the relationships among the intrinsic logical hierarchies of sema

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2026

ProxyTTT: Proxy-driven Test-Time Training for Multi-modal Re-identification

Aihua Zheng, Zhaojun Liu, Xixi Wan, Chenglong Li, Jin Tang, Yan Yan

AAAI 2026technical

Multi-modal object re-identification (ReID) aims to retrieve specific targets by leveraging complementary cues from different sensing modalities. Despite recent progress, two key challenges remain: (1) the limited ability to jointly address both modality and viewpoint discrepancies, and (2) the diff

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