MIMR: Modality-invariance modeling and refinement for unsupervised visible-infrared person re-identification

Z Pang, C Wang, H Pan, L Zhao, J Wang… - Knowledge-Based …, 2024 - Elsevier
Compared to visible modality person re-identification that handles only the intra-modality
discrepancy, visible-infrared person re-identification (VI-ReID) aims to achieve the match …

Multi-view similarity aggregation and multi-level gap optimization for unsupervised person re-identification

T Liu, S Cheng, A Du - Expert Systems with Applications, 2024 - Elsevier
Currently, unsupervised person re-identification (Re-ID) typically directly computes the
similarity matrix between samples and then applies clustering algorithms to generate …

Progressive Cross-modal Association Learning for Unsupervised Visible-Infrared Person Re-Identification

Y Yang, W Hu, H Hu - IEEE Transactions on Information …, 2025 - ieeexplore.ieee.org
Unsupervised visible-infrared person re-identification (USL-VI-ReID) aims to explore the
cross-modal associations and learn modality-invariant representations without manual …

Neighbor Consistency and Global-Local Interaction: A Novel Pseudo-Label Refinement Approach for Unsupervised Person Re-Identification

D Cheng, H Tai, N Wang, C Fang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unsupervised person re-identification (ReID) aims at learning discriminative identity features
for person retrieval without any annotations. Recent advances accomplish this task by …

DRC: Discrete Representation Classifier with Salient Features via Fixed-prototype

Q Li, Q Wang, Y Qin, X Dong, X Wu… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Image classification models including convolutional neural networks (CNN) and vision
transformers (ViT) commonly employ a fully connected (FC) layer as the classifier. However …

Omni-Directional View Person Re-Identification Through 3D Human Reconstruction

C Chen, C Bai, J Song, X Yu… - IEEE Signal Processing …, 2025 - ieeexplore.ieee.org
Person re-identification (ReID) aims to identify the same individual across different cameras.
Most existing researches focus on horizontal perspectives, where cameras and individuals …