4 citations · 4 across the 5 of their papers we have counts for
5 papers
Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification
Neng Dong, Shuanglin Yan, Liyan Zhang +1
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging task due to the large modality discrepancy between visible and infrared images, which complicates the alignment…
Embedding and Enriching Explicit Semantics for Visible-Infrared Person Re-Identification
Neng Dong, Shuanglin Yan, Liyan Zhang +1
Visible-infrared person re-identification (VIReID) retrieves pedestrian images with the same identity across different modalities. Existing methods learn visual content solely from…
Prototypical Prompting for Text-to-image Person Re-identification
Shuanglin Yan, Jun Liu, Neng Dong +2
In this paper, we study the problem of Text-to-Image Person Re-identification (TIReID), which aims to find images of the same identity described by a text sentence from a pool of c…
Multi-view Information Integration and Propagation for Occluded Person Re-identification
Neng Dong, Shuanglin Yan, Hao Tang +2
Occluded person re-identification (re-ID) presents a challenging task due to occlusion perturbations. Although great efforts have been made to prevent the model from being disturbe…
Learning Comprehensive Representations with Richer Self for Text-to-Image Person Re-Identification
Shuanglin Yan, Neng Dong, Jun Liu +2
Text-to-image person re-identification (TIReID) retrieves pedestrian images of the same identity based on a query text. However, existing methods for TIReID typically treat it as a…