Philipp Terhörst

Orcid: 0000-0001-8250-5712

Affiliations:
  • Paderborn University, Germany


According to our database1, Philipp Terhörst authored at least 50 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field.
Intell. Syst. Appl., March, 2024

NeuroIDBench: An open-source benchmark framework for the standardization of methodology in brainwave-based authentication research.
J. Inf. Secur. Appl., 2024

From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing.
CoRR, 2024

NeuroBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research.
CoRR, 2024

Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

How does Rejecting Low-Confidence Decisions in Face Recognition Affect Fairness?
Proceedings of the 12th International Workshop on Biometrics and Forensics, 2024

ASPECD: Adaptable Soft-Biometric Privacy-Enhancement Using Centroid Decoding for Face Verification.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

SLICE: Stabilized LIME for Consistent Explanations for Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition.
IEEE Trans. Biom. Behav. Identity Sci., 2023

QMagFace: Simple and Accurate Quality-Aware Face Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Uncertainty-aware Comparison Scores for Face Recognition.
Proceedings of the 11th International Workshop on Biometrics and Forensics, 2023

Explaining Face Recognition Through SHAP-Based Pixel-Level Face Image Quality Assessment.
Proceedings of the IEEE International Joint Conference on Biometrics, 2023

PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
An Attack on Facial Soft-Biometric Privacy Enhancement.
IEEE Trans. Biom. Behav. Identity Sci., 2022

A Comprehensive Analysis of AI Biases in DeepFake Detection With Massively Annotated Databases.
CoRR, 2022

Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations.
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems.
PhD thesis, 2021

MAAD-Face: A Massively Annotated Attribute Dataset for Face Images.
IEEE Trans. Inf. Forensics Secur., 2021

Privacy-Enhancing Face Biometrics: A Comprehensive Survey.
IEEE Trans. Inf. Forensics Secur., 2021

On Soft-Biometric Information Stored in Biometric Face Embeddings.
IEEE Trans. Biom. Behav. Identity Sci., 2021

An Attack on Feature Level-based Facial Soft-biometric Privacy Enhancement.
CoRR, 2021

A Comprehensive Study on Face Recognition Biases Beyond Demographics.
CoRR, 2021

MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021

2020
Post-comparison mitigation of demographic bias in face recognition using fair score normalization.
Pattern Recognit. Lett., 2020

Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition.
CoRR, 2020

PE-MIU: A Training-Free Privacy-Enhancing Face Recognition Approach Based on Minimum Information Units.
IEEE Access, 2020

Comparison-Level Mitigation of Ethnic Bias in Face Recognition.
Proceedings of the 8th International Workshop on Biometrics and Forensics, 2020

Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

Beyond Identity: What Information Is Stored in Biometric Face Templates?
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

Learning privacy-enhancing face representations through feature disentanglement.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies.
Proceedings of the BIOSIG 2020, 2020

2019
Unsupervised privacy-enhancement of face representations using similarity-sensitive noise transformations.
Appl. Intell., 2019

Suppressing Gender and Age in Face Templates Using Incremental Variable Elimination.
Proceedings of the 2019 International Conference on Biometrics, 2019

To Detect or not to Detect: The Right Faces to Morph.
Proceedings of the 2019 International Conference on Biometrics, 2019

Multi-algorithmic Fusion for Reliable Age and Gender Estimation from Face Images.
Proceedings of the 22th International Conference on Information Fusion, 2019

Exploring the Channels of Multiple Color Spaces for Age and Gender Estimation from Face Images.
Proceedings of the 22th International Conference on Information Fusion, 2019

Reliable Age and Gender Estimation from Face Images: Stating the Confidence of Model Predictions.
Proceedings of the 10th IEEE International Conference on Biometrics Theory, 2019

2018
What can a single minutia tell about gender?
Proceedings of the 2018 International Workshop on Biometrics and Forensics, 2018

Deep and Multi-Algorithmic Gender Classification of Single Fingerprint Minutiae.
Proceedings of the 21st International Conference on Information Fusion, 2018

Fingerprint and Iris Multi-Biometric Data Indexing and Retrieval.
Proceedings of the 21st International Conference on Information Fusion, 2018

P-Score: Performance Aligned Normalization and an Evaluation in Score-Level Multi-Biometric Fusion.
Proceedings of the 26th European Signal Processing Conference, 2018

Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

CrazyFaces: Unassisted Circumvention of Watchlist Face Identification.
Proceedings of the 9th IEEE International Conference on Biometrics Theory, 2018

Minutiae-Based Gender Estimation for Full and Partial Fingerprints of Arbitrary Size and Shape.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Efficient, Accurate, and Rotation-Invariant Iris Code.
IEEE Signal Process. Lett., 2017

General borda count for multi-biometric retrieval.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Indexing of Single and Multi-instance Iris Data Based on LSH-Forest and Rotation Invariant Representation.
Proceedings of the Computer Analysis of Images and Patterns, 2017


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