most citedDiverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

13 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification

Lei Tan, Yukang Zhang, Keke Han +4

This paper makes a step towards modeling the modality discrepancy in the cross-spectral re-identification task. Based on the Lambertain model, we observe that the non-linear modali…

cs.CV2024

Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification

Yukang Zhang, Yang Lu, Yan Yan +2

The key of visible-infrared person re-identification (VIReID) lies in how to minimize the modality discrepancy between visible and infrared images. Existing methods mainly exploit…

cs.CV2023

PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition

Xinwen Fan, Yukang Zhang, Yang Lu +1

Pedestrian attribute recognition (PAR) has received increasing attention because of its wide application in video surveillance and pedestrian analysis. Extracting robust feature re…

cs.CV20231 cited

MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification

Yukang Zhang, Yan Yan, Jie Li +1

Visible-infrared person re-identification (VI-ReID), which aims to search identities across different spectra, is a challenging task due to large cross-modality discrepancy between…

cs.CV202313 cited

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Yukang Zhang, Hanzi Wang

For the visible-infrared person re-identification (VIReID) task, one of the major challenges is the modality gaps between visible (VIS) and infrared (IR) images. However, the train…

cs.CV202310 cited

Exploring Invariant Representation for Visible-Infrared Person Re-Identification

Lei Tan, Yukang Zhang, Shengmei Shen +5

Cross-spectral person re-identification, which aims to associate identities to pedestrians across different spectra, faces a main challenge of the modality discrepancy. In this pap…