Robust cross-domain Pseudo-labeling and contrastive learning for unsupervised domain adaptation NIR-VIS face recognition
Near-infrared and visible face recognition (NIR-VIS) is attracting increasing attention
because of the need to achieve face recognition in low-light conditions to enable 24-hour …
because of the need to achieve face recognition in low-light conditions to enable 24-hour …
Syncretic space learning network for NIR-VIS face recognition
To overcome the technical bottleneck of face recognition in low-light scenarios, Near-
InfraRed and VISible (NIR-VIS) heterogeneous face recognition is proposed for matching …
InfraRed and VISible (NIR-VIS) heterogeneous face recognition is proposed for matching …
Neutral face learning and progressive fusion synthesis network for NIR-VIS face recognition
To meet the strong demand for deploying face recognition systems in low-light scenarios,
the Near-InfraRed and VISible (NIR-VIS) face recognition task is receiving increasing …
the Near-InfraRed and VISible (NIR-VIS) face recognition task is receiving increasing …
Pseudo Label Association and Prototype-Based Invariant Learning for Semi-Supervised NIR-VIS Face Recognition
Remarkable success of the existing Near-InfraRed and VISible (NIR-VIS) approaches owes
to sufficient labeled training data. However, collecting and tagging data from different …
to sufficient labeled training data. However, collecting and tagging data from different …
Disguised Heterogeneous Face Generation With Iterative-Adversarial Style Unification
Heterogeneous face recognition (HFR), which refers to matching face images with different
modalities, is essential to public safety. Although HFR has made promising progress in …
modalities, is essential to public safety. Although HFR has made promising progress in …
ReMamba: a hybrid CNN-Mamba aggregation network for visible-infrared person re-identification
H Geng, J Peng, W Yang, D Chen, H Lv, G Li… - Scientific Reports, 2024 - nature.com
Abstract Visible-Infrared Person Re-identification (VI-ReID) has been consistently
challenged by the significant intra-class variations and cross-modality differences between …
challenged by the significant intra-class variations and cross-modality differences between …
GMLM-CNN: A hybrid solution to SWIR-VIs face verification with limited imagery
Cross-spectral face verification between short-wave infrared (SWIR) and visible light (VIS)
face images poses a challenge, which is motivated by various real-world applications such …
face images poses a challenge, which is motivated by various real-world applications such …
Unsupervised NIR-VIS Face Recognition via Homogeneous-to-Heterogeneous Learning and Residual-Invariant Enhancement
Near-Infrared and Visible light (NIR-VIS) face recognition methods have achieved
remarkable success in the fields of security surveillance, criminal investigation, and …
remarkable success in the fields of security surveillance, criminal investigation, and …
Cross-Modal and Multi-Attribute Face Recognition: A Benchmark
Face recognition has made significant advances with the development of deep learning and
has begun to be deployed in some unrestricted scenarios. Many smartphones, for example …
has begun to be deployed in some unrestricted scenarios. Many smartphones, for example …
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
With the strong robusticity on illumination variations, near-infrared (NIR) can be an effective
and essential complement to visible (VIS) facial expression recognition in low lighting or …
and essential complement to visible (VIS) facial expression recognition in low lighting or …