Dr.-Ing. Philipp Terhörst
- E-Mail:
- philipp.terhoerst@uni-paderborn.de
- Phone:
- +49 5251 60-6657
- Web:
- Homepage
- Social Media:
- Office Address:
-
Fürstenallee 11
33102 Paderborn - Room:
- F2.104
- Office hours:
Upon request
- E-Mail:
- philipp.terhoerst@uni-paderborn.de
- Phone:
- +49 5251 60-6657
- Web:
- Homepage
- Homepage (Extern)
- Office Address:
-
Fürstenallee 11
33102 Paderborn - Room:
- F2.104
Publications
Latest Publications
QMagFace: Simple and Accurate Quality-Aware Face Recognition
P. Terhörst, M. Ihlefeld, M. Huber, N. Damer, F. Kirchbuchner, K. Raja, A. Kuijper, in: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2023.
Explaining Face Recognition Through SHAP-Based Pixel-Level Face Image Quality Assessment
C. Biagi, L. Rethfeld, A. Kuijper, P. Terhörst, in: 2023 IEEE International Joint Conference on Biometrics (IJCB), IEEE, 2023.
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
P. Terhörst, M. Huber, N. Damer, F. Kirchbuchner, K. Raja, A. Kuijper, IEEE Transactions on Biometrics, Behavior, and Identity Science 5 (2023) 288–297.
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition
P.C. Neto, A.F. Sequeira, J.S. Cardoso, P. Terhörst, in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, 2023.
Uncertainty-aware Comparison Scores for Face Recognition
M. Huber, P. Terhörst, F. Kirchbuchner, A. Kuijper, N. Damer, in: 2023 11th International Workshop on Biometrics and Forensics (IWBF), IEEE, 2023.
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Teaching
Current Courses
- Einführung in Human-Centered Machine Learning (in English)
Further Information
BIOS
Dr. Philipp Terhörst is a research group leader at Paderborn University working on “Responsible AI for Biometrics”. He received his Ph.D. in computer science in 2021 from the Technical University of Darmstadt for his work on “Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems” and worked at the Fraunhofer IGD from 2017 to 2022. He was also an ERCIM fellow at the Norwegian University of Science and Technology funded by the European Research Consortium for Informatics and Mathematics. His interest lies in responsible machine learning algorithms in the context of biometrics. This includes the topics of fairness, privacy, explainability, uncertainty, and confidence. Dr. Terhörst is the author of several publications in conferences and journals such as CVPR and IEEE TIFS and regularly works as a reviewer for e.g. TPAMI, TIP, PR, BTAS, ICB. For his scientific work, he received several awards such as from the European Association for Biometrics and the International Joint Conference for Biometrics. He furthermore participated in the ’Software Campus’ Program, a management program of the German Federal Ministry of Education and Research (BMBF).