3 accepted papers
Vascular biometrics have shown great promise for secure authentication applications and have received increased attention in recent years. This paper proposes a novel framework for joint identity and segmentation feature learning to enrich representations and improve verification performance. The fr…
Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confidentiality of vascular bio-information. Recently, deep learning-based FVR has gained increased popularity and achieved promising performance. However, the limited size of public vein datasets has caused ove…
Spatio-temporal representation learning is critical for video self-supervised representation. Recent approaches mainly use contrastive learning and pretext tasks. However, these approaches learn representation by discriminating sampled instances via feature similarity in the latent space while ignor…