Adversarial decoupling and modality-invariant representation learning for visible-infrared person re-identification
W Hu, B Liu, H Zeng, Y Hou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visible-infrared person re-identification (RGB-IR ReID) has now attracted increasing
attention due to its surveillance applications under low-light environments. However, the …
attention due to its surveillance applications under low-light environments. However, the …
Near-infrared and visible light face recognition: a comprehensive survey
F Huang, X Tang, C Li, D Ban - Soft Computing, 2023 - Springer
As a sub-task of face recognition in the field of computer vision, near-infrared (NIR) and
visible light (VIS) face recognition has been widely assessed for the capacity to match face …
visible light (VIS) face recognition has been widely assessed for the capacity to match face …
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 …
Physically-based face rendering for NIR-VIS face recognition
Near infrared (NIR) to Visible (VIS) face matching is challenging due to the significant
domain gaps as well as a lack of sufficient data for cross-modality model training. To …
domain gaps as well as a lack of sufficient data for cross-modality model training. To …
Orthogonal modality disentanglement and representation alignment network for NIR-VIS face recognition
Near-infrared and visual (NIR-VIS) face matching, as the most typical task in Heterogeneous
Face Recognition (HFR), has attracted increasing attention in recent years. However, due to …
Face Recognition (HFR), has attracted increasing attention in recent years. However, due to …
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 …
Heterogeneous face recognition via face synthesis with identity-attribute disentanglement
Heterogeneous Face Recognition (HFR) aims to match faces across different domains (eg,
visible to near-infrared images), which has been widely applied in authentication and …
visible to near-infrared images), which has been widely applied in authentication and …
Universal heterogeneous face analysis via multi-domain feature disentanglement
Heterogeneous face analysis is an important and challenge problem in face recognition
community, because of the large modality discrepancy between heterogeneous face …
community, because of the large modality discrepancy between heterogeneous face …
Rethinking the Domain Gap in Near-infrared Face Recognition
Heterogeneous face recognition (HFR) involves the intricate task of matching face images
across the visual domains of visible (VIS) and near-infrared (NIR). While much of the existing …
across the visual domains of visible (VIS) and near-infrared (NIR). While much of the existing …
Domain-private factor detachment network for NIR-VIS face recognition
Near-InfraRed and VISual (NIR-VIS) face matching, as one of the most representative tasks
in Heterogeneous Face Recognition (HFR), aims at retrieving a face image across different …
in Heterogeneous Face Recognition (HFR), aims at retrieving a face image across different …