Pose-Star++ is proposed, a training-free, plug-and-play framework that introduces two core innovations: an LVLM-based Understanding Module that shifts from word- to sentence-level semantic-visual comprehension, eliminating cumbersome instruction pre-parsing and enabling robust understanding of complex natural language.
Yuran Dong, Bo Du, Mang Ye· IEEE Transactions on Pattern...· 0 citations
This paper explores unsupervised TBPS, with only unlabeled images, and proposes GTR, a two-stage generation-then-retrieval framework for text-based person search, and contributes LargeFine-Person, a large-scale TBPS dataset with high-quality, fine-grained, and diverse textual annotations.
Mang Ye, Yucheng Ji, Yang Bai et al.· IEEE Transactions on Pattern...· 0 citations
It is suggested that LLMs differ not only in baseline risk disposition, but also in the risk signals they respond to and the flexibility with which they adjust, providing a behavioural basis for auditing risk-sensitive decision-making in interactive settings.
Xuan-Kun Rong, Wenke Huang, Bo Du et al.· arXiv.org· 0 citations
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