Fraunhofer Institute for Computer Graphics Research IGD
Fraunhofer Institute for Computer Graphics Research IGD

Biying Fu

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Biying Fu studied electrical engineering and information technology at the Karlsruhe Institute of Technology from 2008 to 2014, majoring in signal and data processing, and graduated as a Master of Science. Since September 2014 she has been working as a research scientist in the Smart Living & Biometric Technologies department at the Fraunhofer Institute for Computer Graphics Research (IGD). Here, she works in the Embedded Sensing and Perception research group, where she mainly focuses on the development of algorithms for indoor localization and activity recognition using various sensor technologies. Further research interests mainly include data and signal processing, quality assurance especially for facial images, machine learning, and artificial intelligence. Ms. Fu did her PhD in November 2020 on the topic of "Sensor Applications for Human Activity Recognition in Smart Environment".

Currently, she is working as an associate professor at the RheinMain University of Applied Sciences in the faculty Design, Computer Science, Media with the major Smart Environment. On the Fraunhofer side, she participates in the mission 'Next Generation Biometric Systems' of ATHENE, in the project "Biometric Sample Quality Assessment".

Jahr
Year		Titel/Autor:in
Title/Author		Publikationstyp
Publication Type
2025 UAV-based person re-identification: A survey of UAV datasets, approaches, and challenges
Albaluchi, Yousaf; Fu, Biying; Ramachandra, Raghavendra; Damer, Naser; Raja, Kiran		 Zeitschriftenaufsatz
Journal Article
2025 Generative AI in the context of assistive technologies: Trends, limitations and future directions
Fu, Biying; Hadid, Abdenour; Damer, Naser		 Zeitschriftenaufsatz
Journal Article
2024 A Survey on Drowsiness Detection - Modern Applications and Methods
Fu, Biying; Boutros, Fadi; Lin, Chin-Teng; Damer, Naser		 Zeitschriftenaufsatz
Journal Article
2024 Utility-based performance evaluation of biometric sample quality measures
Henniger, Olaf; Fu, Biying; Kurz, Alexander		 Zeitschriftenaufsatz
Journal Article
2023 On the Quality and Diversity of Synthetic Face Data and its Relation to the Generator Training Data
Fu, Biying; Klemt, Marcel; Boutros, Fadi; Damer, Naser		 Konferenzbeitrag
Conference Paper
2023 CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
Boutros, Fadi; Fang, Meiling; Klemt, Marcel; Fu, Biying; Damer, Naser		 Paper
2023 Biometric Recognition in 3D Medical Images: A Survey
Fu, Biying; Damer, Naser		 Zeitschriftenaufsatz
Journal Article
2023 CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
Boutros, Fadi; Fang, Meiling; Klemt, Marcel; Fu, Biying; Damer, Naser		 Konferenzbeitrag
Conference Paper
2022 Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality
Fu, Biying; Damer, Naser		 Zeitschriftenaufsatz
Journal Article
2022 Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations through Activation Map Variation Analyses in Face Recognition Models
Fu, Biying; Damer, Naser		 Konferenzbeitrag
Conference Paper
2022 A Deep Insight into Measuring Face Image Utility with General and Face-Specific Image Quality Metrics
Fu, Biying; Chen, Cong; Henniger, Olaf; Damer, Naser		 Konferenzbeitrag
Conference Paper
2022 Towards Explaining Demographic Bias through the Eyes of Face Recognition Models
Fu, Biying; Damer, Naser		 Konferenzbeitrag
Conference Paper
2022 Utility-based performance evaluation of biometric sample quality assessment algorithms
Henniger, Olaf; Fu, Biying; Chen, Cong		 Konferenzbeitrag
Conference Paper
2021 The Relative Contributions of Facial Parts Qualities to the Face Image Utility
Fu, Biying; Chen, Chen; Henniger, Olaf; Damer, Naser		 Konferenzbeitrag
Conference Paper
2021 The Effect of Wearing a Face Mask on Face Image Quality
Fu, Biying; Kirchbuchner, Florian; Damer, Naser		 Konferenzbeitrag
Conference Paper
2021 Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning
Fu, Biying; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2021 Sensor Applications for Human Activity Recognition in Smart Environments
Fu, Biying		 Dissertation
Doctoral Thesis
2021 The Effect of Face Morphing on Face Image Quality
Fu, Biying; Spiller, Noémie Catherine Hélène; Chen, Cong; Damer, Naser		 Konferenzbeitrag
Conference Paper
2021 Detection of Fiber Defects Using Keypoints and Deep Learning
Siegmund, Dirk; Fu, Biying; José-García, Adán; Salahuddin, Ahmad Masood; Kuijper, Arjan		 Zeitschriftenaufsatz
Journal Article
2020 Unconstrained workout activity recognition on unmodified commercial off-the-shelf smartphones
Fu, Biying; Kirchbuchner, Florian; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2020 ExerTrack - Towards Smart Surfaces to Track Exercises
Fu, Biying; Jarms, Lennart; Kirchbuchner, Florian; Kuijper, Arjan		 Zeitschriftenaufsatz
Journal Article
2020 On the Assessment of Face Image Quality Based on Handcrafted Features
Henniger, Olaf; Fu, Biying; Chen, Cong		 Konferenzbeitrag
Conference Paper
2020 Evaluation of the Recognition Accuracy of Commercial Off-the-shelf Face Identification Systems for Use in Forensics
Henniger, Olaf; Fu, Biying		 Bericht
Report
2020 Data augmentation for time series: Traditional vs generative models on capacitive proximity time series
Fu, Biying; Kirchbuchner, Florian; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2020 Sensing Technology for Human Activity Recognition: A Comprehensive Survey
Fu, Biying; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan		 Zeitschriftenaufsatz
Journal Article
2020 Performing Realistic Workout Activity Recognition on Consumer Smartphones
Fu, Biying; Kirchbuchner, Florian; Kuijper, Arjan		 Zeitschriftenaufsatz
Journal Article
2019 An experimental overview on electric field sensing
Wilmsdorff, Julian von; Kirchbuchner, Florian; Fu, Biying; Braun, Andreas; Kuijper, Arjan		 Zeitschriftenaufsatz
Journal Article
2019 Anomaly Detection and probable path prediction for Single and Multiperson-Application in Smart Homes
Lian, Runze		 Master Thesis
2019 Performing indoor localization with electric potential sensing
Fu, Biying; Kirchbuchner, Florian; Wilmsdorff, Julian von; Große-Puppendahl, Tobias; Braun, Andreas; Kuijper, Arjan		 Zeitschriftenaufsatz
Journal Article
2018 Step by step: Early detection of diseases using an intelligent floor
Scherf, Lisa; Kirchbuchner, Florian; Wilmsdorff, Julian von; Fu, Biying; Braun, Andreas; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2018 A look at feet: Recognizing tailgating via capacitive sensing
Siegmund, Dirk; Dev, Sudeep; Fu, Biying; Scheller, Doreen; Braun, Andreas		 Konferenzbeitrag
Conference Paper
2018 Surface acoustic arrays to analyze human activities in smart environments
Fu, Biying; Mettel, Matthias Ruben; Kirchbuchner, Florian; Braun, Andreas; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2018 Fitness activity recognition on smartphones using doppler measurements
Fu, Biying; Kirchbuchner, Florian; Kuijper, Arjan; Braun, Andreas; Gangatharan, Dinesh Vaithyalingam		 Zeitschriftenaufsatz
Journal Article
2017 Indoor localization based on passive electric field sensing
Fu, Biying; Kirchbuchner, Florian; Wilmsdorff, Julian von; Große-Puppendahl, Tobias; Braun, Andreas; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2017 Fiber defect detection of inhomogeneous voluminous textiles
Siegmund, Dirk; Samartzidis, Timotheos; Fu, Biying; Braun, Andreas; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2017 New approaches for localization and activity sensing in smart environments
Kirchbuchner, Florian; Fu, Biying; Braun, Andreas; Wilmsdorff, Julian von		 Konferenzbeitrag
Conference Paper
2017 Activity Recognition On Unmodified Consumer Smartphones Via Active Ultrasonic Sensing
Gangatharan, Dinesh Vaithyalingam		 Master Thesis
2017 Best practices to visualize activity data in mobile apps
Sagare, Anagha		 Master Thesis
2017 Exercise monitoring on consumer smart phones using ultrasonic sensing
Fu, Biying; Gangatharan, Dinesh Vaithyalingam; Kuijper, Arjan; Kirchbuchner, Florian; Braun, Andreas		 Konferenzbeitrag
Conference Paper
2017 An exploratory study on electric field sensing
Wilmsdorff, Julian von; Kirchbuchner, Florian; Fu, Biying; Braun, Andreas; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2016 Platypus - Indoor localization and identification through sensing electric potential changes in human bodies
Große-Puppendahl, Tobias; Dellangnol, Xavier; Hatzfeld, Christian; Fu, Biying; Kupnik, Mario; Kuijper, Arjan; Hastall, Matthias R.; Scott, James; Gruteser, Marco		 Konferenzbeitrag
Conference Paper
2016 Attack detection in an autonomous entrance system using optical flow
Siegmund, Dirk; Fu, Biying; Samartzidis, Timotheos; Wainakh, Aidmar; Kuijper, Arjan; Braun, Andreas		 Konferenzbeitrag
Conference Paper
2015 Indoor localization based on electric potential sensing
Dellangnol, Xavier		 Master Thesis
2015 Opportunities and applications of ultrasound sensing on unmodified consumer-grade smartphones
Karolus, Jakob		 Master Thesis
2015 A gesture recognition method for proximity-sensing surfaces in smart environments
Fu, Biying; Große-Puppendahl, Tobias; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
2015 Opportunities for activity recognition using ultrasound doppler sensing on unmodified mobile phones
Fu, Biying; Karolus, Jakob; Große-Puppendahl, Tobias; Hermann, Jonathan; Kuijper, Arjan		 Konferenzbeitrag
Conference Paper
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This list has been generated from the publication platform Fraunhofer-Publica

ATHENE - Mission “Next Generation Biometric System” – Project “Biometric Sample Quality Assessment”
As part of the National Research Center for Applied Cybersecurity, we develop biometric solutions in the context of identity management. This includes the detection and prevention of attacks on biometric systems (e.g., Presentation Attacks and Morphing Attacks), the reduction of discriminatory behavior of such systems, and the quality assessment of biometric samples. The goal of this project is to make biometric systems safer, fairer, and more reliable for society.

Face morphing
Face morphing: a new threat?