4 citations · 5 across the 6 of their papers we have counts for
6 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…
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
Zhicheng Zhang, Hao Tang, Jinhui Tang
Given the critical role of birds in ecosystems, Fine-Grained Bird Recognition (FGBR) has gained increasing attention, particularly in distinguishing birds within similar subcategor…
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…
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines
Xin Jiang, Hao Tang, Rui Yan +2
Fine-grained image retrieval (FGIR) is to learn visual representations that distinguish visually similar objects while maintaining generalization. Existing methods propose to gener…
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…