56 citations · 96 across the 7 of their papers we have counts for
9 papers
Practical Pipeline-Aware Regression Test Optimization for Continuous Integration
Daniel Schwendner, Maximilian Jungwirth, Martin Gruber +3
Massive, multi-language, monolithic repositories form the backbone of many modern, complex software systems. To ensure consistent code quality while still allowing fast development…
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach
Martin Knoche, Gerhard Rigoll
Nowadays, face recognition systems surpass human performance on several datasets. However, there are still edge cases that the machine can't correctly classify. This paper investig…
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…
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…
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…
Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments
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, p…
Susceptibility to Image Resolution in Face Recognition and Trainings Strategies
Martin Knoche, Stefan Hörmann, Gerhard Rigoll
Face recognition approaches often rely on equal image resolution for verifying faces on two images. However, in practical applications, those image resolutions are usually not in t…
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…
A Multi-Task Comparator Framework for Kinship Verification
Stefan Hörmann, Martin Knoche, Gerhard Rigoll
Approaches for kinship verification often rely on cosine distances between face identification features. However, due to gender bias inherent in these features, it is hard to relia…