9 citations · 9 across the 4 of their papers we have counts for
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Multimodal LLM-Empowered Re-Ranking for Generalizable Person Re-Identification
Jiachen Li, Xiaojin Gong
Domain Generalizable (DG) person re-identification (Re-ID) has attracted growing research interest due to its potential for deployment in unseen real-world scenarios. Most existing…
Multi-Grained Vision-Language Alignment for Domain Generalized Person Re-Identification
Jiachen Li, Xiaojin Gong, Dongping Zhang
Domain Generalized person Re-identification (DG Re-ID) is a challenging task, where models are trained on source domains but tested on unseen target domains. Although previous pure…
Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification
Menglin Wang, Xiaojin Gong, Jiachen Li +1
Unsupervised visible-infrared person re-identification (USVI-ReID) aims to match individuals across visible and infrared cameras without relying on any annotation. Given the signif…
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Jiachen Li, Xiaojin Gong
Domain-generalizable re-identification (DG Re-ID) aims to train a model on one or more source domains and evaluate its performance on unseen target domains, a task that has attract…