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 …
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-adversarial representation disentanglement for visible infrared person re-identification
Heterogeneous pedestrian images are captured by visible and infrared cameras with
different spectrums, which play an important role in night-time video surveillance. However …
different spectrums, which play an important role in night-time video surveillance. However …
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 …
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 …
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 …
Recent Advances in Infrared Face Analysis and Recognition with Deep Learning
D Mahouachi, MA Akhloufi - AI, 2023 - mdpi.com
Besides the many advances made in the facial detection and recognition fields, face
recognition applied to visual images (VIS-FR) has received increasing interest in recent …
recognition applied to visual images (VIS-FR) has received increasing interest in recent …