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A survey on computer vision based human analysis in the COVID-19 era
The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …
whole, but also on the lives of individuals. Various prevention measures were introduced …
Frcsyn challenge at cvpr 2024: Face recognition challenge in the era of synthetic data
I DeAndres-Tame, R Tolosana… - Proceedings of the …, 2024 - openaccess.thecvf.com
Synthetic data is gaining increasing relevance for training machine learning models. This is
mainly motivated due to several factors such as the lack of real data and intra-class …
mainly motivated due to several factors such as the lack of real data and intra-class …
Efar 2023: Efficient face recognition competition
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …
Explainable biometrics in the age of deep learning
Systems capable of analyzing and quantifying human physical or behavioral traits, known as
biometrics systems, are growing in use and application variability. Since its evolution from …
biometrics systems, are growing in use and application variability. Since its evolution from …
Uncertainty-aware face embedding with contrastive learning for open-set evaluation
While advances in deep learning have enabled novel applications in various fields, face
recognition in open-set scenarios remains a complex task, owing to the challenges posed by …
recognition in open-set scenarios remains a complex task, owing to the challenges posed by …
PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection Dataset
PHEVA, a Privacy-preserving Human-centric Ethical Video Anomaly detection dataset. By
removing pixel information and providing only de-identified human annotations, PHEVA …
removing pixel information and providing only de-identified human annotations, PHEVA …
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 …
[PDF][PDF] Causality-inspired taxonomy for explainable artificial intelligence
As two sides of the same coin, causality and explainable artificial intelligence (xAI) were
initially proposed and developed with different goals. However, the latter can only be …
initially proposed and developed with different goals. However, the latter can only be …
Boosting cross-quality face verification using blind face restoration
M Bengherabi, D Laib, FS Lasnami… - arxiv preprint arxiv …, 2023 - arxiv.org
In recent years, various Blind Face Restoration (BFR) techniques were developed. These
techniques transform low quality faces suffering from multiple degradations to more realistic …
techniques transform low quality faces suffering from multiple degradations to more realistic …
Boosting cross-quality face verification using blind face restoration
B Messaoud, L Douaa, LF Souhila… - … Conference of the …, 2023 - ieeexplore.ieee.org
In recent years, various Blind Face Restoration (BFR) techniques were developed. These
techniques transform low quality faces suffering from multiple degradations to more realistic …
techniques transform low quality faces suffering from multiple degradations to more realistic …