8 citations · 8 across the 2 of their papers we have counts for
4 papers
Face Morphing: Fooling a Face Recognition System Is Simple!
Stefan Hörmann, Tianlin Kong, Torben Teepe +3
State-of-the-art face recognition (FR) approaches have shown remarkable results in predicting whether two faces belong to the same identity, yielding accuracies between 92% and 100…
Towards a Deeper Understanding of Skeleton-based Gait Recognition
Torben Teepe, Johannes Gilg, Fabian Herzog +2
Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns. In recent years, most gait recognition…
Attention-based Partial Face Recognition
Stefan Hörmann, Zeyuan Zhang, Martin Knoche +2
Photos of faces captured in unconstrained environments, such as large crowds, still constitute challenges for current face recognition approaches as often faces are occluded by obj…
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
Torben Teepe, Ali Khan, Johannes Gilg +3
Gait recognition is a promising video-based biometric for identifying individual walking patterns from a long distance. At present, most gait recognition methods use silhouette ima…