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20142023
most citedGaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

326 citations · 790 across the 29 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 19 cited

Explainable Model-Agnostic Similarity and Confidence in Face Verification

Martin Knoche, Torben Teepe, Stefan Hörmann +1

Recently, face recognition systems have demonstrated remarkable performances and thus gained a vital role in our daily life. They already surpass human face verification accountabi…

cs.CV2022

Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities

Fabian Herzog, Junpeng Chen, Torben Teepe +3

Smart City applications such as intelligent traffic routing or accident prevention rely on computer vision methods for exact vehicle localization and tracking. Due to the scarcity…

cs.CV2022★ 13 cited

Octuplet Loss: Make Face Recognition Robust to Image Resolution

Martin Knoche, Mohamed Elkadeem, Stefan Hörmann +1

Image resolution, or in general, image quality, plays an essential role in the performance of today's face recognition systems. To address this problem, we propose a novel combinat…

cs.CV2022

Wavelet Regularization Benefits Adversarial Training

Jun Yan, Huilin Yin, Xiaoyang Deng +4

Adversarial training methods are state-of-the-art (SOTA) empirical defense methods against adversarial examples. Many regularization methods have been proven to be effective with t…

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.CV2022★ 8 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…