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 …
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 …
CMAFGAN: A Cross-Modal Attention Fusion based Generative Adversarial Network for attribute word-to-face synthesis
Face synthesis based on attribute words is a novel and challenging topic in computer vision,
which has various application potentials in public security and multimedia. Existing attribute …
which has various application potentials in public security and multimedia. Existing attribute …
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 …
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 …
Hierarchical forgery classifier on multi-modality face forgery clues
Face forgery detection plays an important role in personal privacy and social security. With
the development of adversarial generative models, high-quality forgery images become …
the development of adversarial generative models, high-quality forgery images become …
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 …
Over-sampling de-occlusion attention network for prohibited items detection in noisy x-ray images
Security inspection is X-ray scanning for personal belongings in suitcases, which is
significantly important for the public security but highly time-consuming for human …
significantly important for the public security but highly time-consuming for human …
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 …