73 citations · 167 across the 6 of their papers we have counts for
8 papers
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…
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…
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…
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…
Lightweight Multi-Branch Network for Person Re-Identification
Fabian Herzog, Xunbo Ji, Torben Teepe +3
Person Re-Identification aims to retrieve person identities from images captured by multiple cameras or the same cameras in different time instances and locations. Because of its i…
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
Okan Köpüklü, Stefan Hörmann, Fabian Herzog +2
Convolutional Neural Networks with 3D kernels (3D-CNNs) currently achieve state-of-the-art results in video recognition tasks due to their supremacy in extracting spatiotemporal fe…
Convolutional Neural Networks with Layer Reuse
Okan Köpüklü, Maryam Babaee, Stefan Hörmann +1
A convolutional layer in a Convolutional Neural Network (CNN) consists of many filters which apply convolution operation to the input, capture some special patterns and pass the re…