Weilong Li — accepted AI-conference papers

2026

FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts

Xin Xu, Weilong Li, Wei Liu, Wenke Huang, Zhixi Yu, Bin Yang +2

CVPR 2026

Federated Domain Generalization for Person Re-Identification (FedDG-ReID) aims to learn domain-invariant representations from decentralized data. Although Vision Transformers (ViTs) are widely adopted, their global attention often fails to distinguish pedestrians from high similarity backgrounds or

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2026

From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking

Yuqing Shao, Yuchen Yang, Rui Yu, Weilong Li, Xu Guo, Huaicheng Yan +2

CVPR 2026

End-to-end multi-object tracking (MOT) methods have recently achieved remarkable progress by unifying detection and association within a single framework. Despite their strong detection performance, these methods suffer from relatively low association accuracy. Through detailed analysis, we observe

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