most citedHierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition

58 citations · 92 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 58 cited

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition

Guangwei Gao, Yi Yu, Jian Yang +2

Cross-resolution face recognition (CRFR), which is important in intelligent surveillance and biometric forensics, refers to the problem of matching a low-resolution (LR) probe face…

cs.CV2021★ 34 cited

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

Guangwei Gao, Hao Shao, Fei Wu +2

This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared…