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 …
RAPP: Reversible privacy preservation for various face attributes
The tremendous progress in deep learning has enabled to extract soft-biometric attributes
from faces, which raises privacy concerns over images collected for face recognition …
from faces, which raises privacy concerns over images collected for face recognition …
Memory-modulated transformer network for heterogeneous face recognition
Heterogeneous face recognition (HFR) aims at matching face images across different
domains. It is challenging due to the severe domain discrepancies and overfitting caused by …
domains. It is challenging due to the severe domain discrepancies and overfitting caused by …
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 …
Disentangled representation learning for cross-modal biometric matching
Cross-modal biometric matching (CMBM) aims to determine the corresponding voice from a
face, or identify the corresponding face from a voice. Recently, many CMBM methods have …
face, or identify the corresponding face from a voice. Recently, many CMBM methods have …
Dual face alignment learning network for NIR-VIS face recognition
As the most important topic in Heterogeneous Face Recognition (HFR), Near-InfraRed and
VISual (NIR-VIS) face recognition has attracted increasing research attentions owing to its …
VISual (NIR-VIS) face recognition has attracted increasing research attentions owing to its …
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 …
Illumination invariant face recognition
DH Liu, KM Lam, LS Shen - Pattern Recognition, 2005 - Elsevier
The appearance of a face will vary drastically when the illumination changes. Variations in
lighting conditions make face recognition an even more challenging and difficult task. In this …
lighting conditions make face recognition an even more challenging and difficult task. In this …
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 …
Dual adversarial disentanglement and deep representation decorrelation for NIR-VIS face recognition
The task of near-infrared and visual (NIR-VIS) face recognition refers to matching face data
from different modalities, which has broad application prospects in areas such as multimedia …
from different modalities, which has broad application prospects in areas such as multimedia …