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cs.CV2025

One-Shot Knowledge Transfer for Scalable Person Re-Identification

Longhua Li, Lei Qi, Xin Geng

Edge computing in person re-identification (ReID) is crucial for reducing the load on central cloud servers and ensuring user privacy. Conventional compression methods for obtainin…

cs.CV2025

CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification

Huazhong Zhao, Lei Qi, Xin Geng

The Visual Language Model, known for its robust cross-modal capabilities, has been extensively applied in various computer vision tasks. In this paper, we explore the use of CLIP (…

cs.CV2025

BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization

Xiusheng Xu, Lei Qi, Jingyang Zhou +1

Source-Free Domain Generalization (SFDG) aims to develop a model that performs on unseen domains without relying on any source domains. However, the implementation remains constrai…

cs.CV2024

A SAM-guided Two-stream Lightweight Model for Anomaly Detection

Chenghao Li, Lei Qi, Xin Geng

In industrial anomaly detection, model efficiency and mobile-friendliness become the primary concerns in real-world applications. Simultaneously, the impressive generalization capa…

cs.CV2024

CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification

Huazhong Zhao, Lei Qi, Xin Geng

Recent advancements in pre-trained vision-language models like CLIP have shown promise in person re-identification (ReID) applications. However, their performance in generalizable…

cs.CV2024

DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization

Yunlong Tang, Yuxuan Wan, Lei Qi +1

Source-Free Domain Generalization (SFDG) aims to develop a model that works for unseen target domains without relying on any source domain. Research in SFDG primarily bulids upon t…