Haibing Yin — accepted AI-conference papers

2026

Expert-Teacher-Student Collaborative Learning for Domain Adaptive Object Detection

Yiming Cui, Liang Li, Haibing Yin, Yuhan Gao, Xichun Sheng, Chenggang Yan

CVPR 2026

Domain adaptive object detection (DAOD) aims to generalize an object detector trained on a source domain to a target domain, where the domain gap degrades the adaptability. Recently, large-scale vision foundation models (VFMs), pretrained on web-scale datasets, exhibit such powerful generalization c

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2025

Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval

Zhiqian Zhao, Liang Li, Jiehua Zhang, Yaoqi Sun, Xichun Sheng, Haibing Yin +1

AAAI 2025technical

In cross-modal retrieval, comprehensive image understanding is vital while the scene text in images can provide fine-grained information to understand visual semantics. Current methods fail to make full use of scene text. They suffer from the semantic ambiguity of independent scene text and overlook…

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