1 code implementation • 17 Apr 2023 • Martin Knoche, Gerhard Rigoll
Finally, we demonstrate that combining machine and human decisions can further improve the performance of state-of-the-art face verification systems on various benchmark datasets.
1 code implementation • 24 Nov 2022 • Martin Knoche, Torben Teepe, Stefan Hörmann, Gerhard Rigoll
This work focuses on explanations for face recognition systems, vital for developers and operators.
2 code implementations • 14 Jul 2022 • Martin Knoche, Mohamed Elkadeem, Stefan Hörmann, Gerhard Rigoll
To address this problem, we propose a novel combination of the popular triplet loss to improve robustness against image resolution via fine-tuning of existing face recognition models.
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no code implementations • 27 May 2022 • Stefan Hörmann, Tianlin Kong, Torben Teepe, Fabian Herzog, Martin Knoche, Gerhard Rigoll
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% depending on the difficulty of the protocol.
1 code implementation • 23 Aug 2021 • Martin Knoche, Stefan Hörmann, Gerhard Rigoll
Real-world face recognition applications often deal with suboptimal image quality or resolution due to different capturing conditions such as various subject-to-camera distances, poor camera settings, or motion blur.
1 code implementation • 8 Jul 2021 • Martin Knoche, Stefan Hörmann, Gerhard Rigoll
In this work, we first analyze the impact of image resolutions on face verification performance with a state-of-the-art face recognition model.
1 code implementation • 11 Jun 2021 • Stefan Hörmann, Zeyuan Zhang, Martin Knoche, Torben Teepe, Gerhard Rigoll
In this paper, we propose a novel approach to partial face recognition capable of recognizing faces with different occluded areas.
no code implementations • 2 Jun 2020 • Stefan Hörmann, Martin Knoche, Gerhard Rigoll
Approaches for kinship verification often rely on cosine distances between face identification features.