Search Results for author: Stefan Hörmann

Found 13 papers, 11 papers with code

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

1 code implementation30 Aug 2022 Fabian Herzog, Junpeng Chen, Torben Teepe, Johannes Gilg, Stefan Hörmann, Gerhard Rigoll

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

Depth Estimation Multi-Object Tracking +3

Octuplet Loss: Make Face Recognition Robust to Image Resolution

1 code implementation14 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.

Face Recognition Face Verification

Face Morphing: Fooling a Face Recognition System Is Simple!

no code implementations27 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.

Face Recognition Generative Adversarial Network

Towards a Deeper Understanding of Skeleton-based Gait Recognition

2 code implementations16 Apr 2022 Torben Teepe, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll

Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns.

Gait Recognition Pose Estimation

Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments

1 code implementation23 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.

Face Recognition

Susceptibility to Image Resolution in Face Recognition and Trainings Strategies

1 code implementation8 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.

Face Recognition Face Verification

Attention-based Partial Face Recognition

1 code implementation11 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.

Face Recognition

GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

2 code implementations27 Jan 2021 Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll

However, silhouette images can lose fine-grained spatial information, and most papers do not regard how to obtain these silhouettes in complex scenes.

Multiview Gait Recognition Pose Estimation

Lightweight Multi-Branch Network for Person Re-Identification

1 code implementation26 Jan 2021 Fabian Herzog, Xunbo Ji, Torben Teepe, Stefan Hörmann, Johannes Gilg, Gerhard Rigoll

Person Re-Identification aims to retrieve person identities from images captured by multiple cameras or the same cameras in different time instances and locations.

 Ranked #1 on Person Re-Identification on Market-1501 (mINP metric)

Person Re-Identification

Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing

1 code implementation30 Sep 2020 Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll

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 features within video frames.

Action Classification Video Recognition

A Multi-Task Comparator Framework for Kinship Verification

no code implementations2 Jun 2020 Stefan Hörmann, Martin Knoche, Gerhard Rigoll

Approaches for kinship verification often rely on cosine distances between face identification features.

Face Identification Kinship Verification

Convolutional Neural Networks with Layer Reuse

1 code implementation28 Jan 2019 Okan Köpüklü, Maryam Babaee, Stefan Hörmann, Gerhard Rigoll

In this paper, we propose a CNN architecture, Layer Reuse Network (LruNet), where the convolutional layers are used repeatedly without the need of introducing new layers to get a better performance.

Image Classification

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