Person re-identification across disjoint camera views has been widely applied in video
surveillance yet it is still a challenging problem. One of the major challenges lies in the lack …

In this paper, we propose an attention pyramid method for person re-identification. Unlike
conventional attention-based methods which only learn a global attention map, our attention …

Recent efforts have shown promising results for person re-identification by designing part-
based architectures to allow a neural network to learn discriminative representations from …

Identifying the same individual across different scenes is an important yet difficult task in
intelligent video surveillance. Its main difficulty lies in how to preserve similarity of the same …

Person re-identification (Re-ID) is a challenging research topic which aims to retrieve the
pedestrian images of the same person that captured by non-overlapping cameras. Existing …

In the task of person re-identification, the attention mechanism and fine-grained information
have been proved to be effective. However, it has been observed that models often focus on …

In recent years, a growing body of research has focused on the problem of person re-
identification (re-id). The re-id techniques attempt to match the images of pedestrians from …

Employing attention mechanisms to model both global and local features as a final
pedestrian representation has become a trend for person re-identification (Re-ID) …

Person re-identification (Re-ID) has undergone a rapid development with the blooming of
deep neural network. Most methods are very easily affected by target misalignment and …

Person re-identification (re-ID) favors discriminative representations over unseen shots to
recognize identities in disjoint camera views. Effective methods are developed via pair-wise …