Shibai Yin — accepted AI-conference papers

2025

DUQ: Dual Uncertainty Quantification for Text-Video Retrieval

Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang

IJCAI 2025

Text-video retrieval establishes accurate similarity relationships between text and video through feature enhancement and granularity alignment. However, relying solely on similarity to associate intra-pair features and distinguish inter-pair features is insufficient, \textit{e.g.}, when querying a

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2025

Enhancing the Adversarial Robustness via Manifold Projection

Zhiting Li, Shibai Yin, Tai-Xiang Jiang, Yexun Hu, Jia-Mian Wu, Guowei Yang +1

AAAI 2025technical

Deep learning has been widely applied to various aspects of computer vision, but the emergence of adversarial attacks raises concerns about its reliability. Adversarial training (AT) is one of the most effective defense methods, which incorporates adversarial examples into the training data. However…

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