activity
20212024
most citedTowards a Deeper Understanding of Skeleton-based Gait Recognition

8 citations · 8 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2024

Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking

Fabian Herzog, Johannes Gilg, Philipp Wolters +2

Accurate online multiple-camera vehicle tracking is essential for intelligent transportation systems, autonomous driving, and smart city applications. Like single-camera multiple-o…

cs.CV2022

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…

cs.CV20228 cited

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…

cs.CV2021

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…

cs.CV2021

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…