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Di Gai

2 accepted papers

2025

CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification

AAAI 2025technical

With the emergence of vision-language pre-trained models, such as CLIP, some textual prompts have been gradually introduced recently into re-identification (Re-ID) tasks to obtain considerably robust multimodal information. However, most textual descriptions based on vehicle Re-ID tasks only contain…

Cited by 0SourcePDFScholar
2025

VehicleMAE: View-asymmetry Mutual Learning for Vehicle Re-identification Pre-training via Masked AutoEncoders

ICCV 2025poster

Large-scale pre-training technology has achieved remarkable performance in diversified object re-identification (Re-ID) downstream tasks. Nevertheless, to our best knowledge, the pre-training model specifically for vehicle Re-ID, which focuses on tackling the challenge of multi-view variations, has…

Cited by 0SourcePDFScholar