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Philipp Terhörst
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- affiliation: Paderborn University, Germany
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2020 – today
- 2024
- [j11]Avinash Kumar Chaurasia, Matin Fallahi
, Thorsten Strufe, Philipp Terhörst
NeuroIDBench: An open-source benchmark framework for the standardization of methodology in brainwave-based authentication research. J. Inf. Secur. Appl. 85: 103832 (2024) - [j10]Javad Khodadoust
A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field. Intell. Syst. Appl. 21: 200320 (2024) - [c32]Revoti Prasad Bora, Philipp Terhörst, Raymond N. J. Veldhuis, Raghavendra Ramachandra, Kiran B. Raja:
SLICE: Stabilized LIME for Consistent Explanations for Image Classification. CVPR 2024: 10988-10996 - [c31]Peter Rot, Philipp Terhörst, Peter Peer, Vitomir Struc:
ASPECD: Adaptable Soft-Biometric Privacy-Enhancement Using Centroid Decoding for Face Verification. FG 2024: 1-11 - [c30]Pritilata Saha, Abhirup Sinha
How does Rejecting Low-Confidence Decisions in Face Recognition Affect Fairness? IWBF 2024: 1-6 - [c29]Marco Huber, Anh Thi Luu, Philipp Terhörst, Naser Damer:
Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation. WACV 2024: 4724-4733 - [i18]Avinash Kumar Chaurasia, Matin Fallahi, Thorsten Strufe, Philipp Terhörst, Patricia Arias Cabarcos:
NeuroBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research. CoRR abs/2402.08656 (2024) - [i17]Ivan DeAndres-Tame, Muhammad Faisal, Ruben Tolosana, Rouqaiah Al-Refai, Rubén Vera-Rodríguez, Philipp Terhörst:
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing. CoRR abs/2409.16089 (2024) - 2023
- [j9]Philipp Terhörst
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 5(2): 288-297 (2023) - [c28]Pedro C. Neto, Ana Filipa Sequeira
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition. CVPR Workshops 2023: 1021-1029 - [c27]Clara Biagi, Louis Rethfeld, Arjan Kuijper, Philipp Terhörst:
Explaining Face Recognition Through SHAP-Based Pixel-Level Face Image Quality Assessment. IJCB 2023: 1-10 - [c26]Marco Huber, Philipp Terhörst, Florian Kirchbuchner, Arjan Kuijper, Naser Damer:
Uncertainty-aware Comparison Scores for Face Recognition. IWBF 2023: 1-6 - [c25]Philipp Terhörst, Malte Ihlefeld, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran B. Raja, Arjan Kuijper:
QMagFace: Simple and Accurate Quality-Aware Face Recognition. WACV 2023: 3473-3483 - [i16]Marco Huber, Anh Thi Luu, Philipp Terhörst, Naser Damer:
Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation. CoRR abs/2304.13409 (2023) - 2022
- [j8]Dailé Osorio Roig
An Attack on Facial Soft-Biometric Privacy Enhancement. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 263-275 (2022) - [c24]Marco Huber, Philipp Terhörst, Florian Kirchbuchner, Naser Damer, Arjan Kuijper:
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition. BMVC 2022: 506 - [c23]Philipp Terhörst, Florian Bierbaum, Marco Huber
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations. IJCB 2022: 1-9 - [c22]Marco Huber
Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition. ICPR 2022: 938-944 - [i15]Philipp Terhörst, Florian Bierbaum, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran B. Raja, Arjan Kuijper:
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations. CoRR abs/2203.12387 (2022) - [i14]Ying Xu, Philipp Terhörst, Kiran B. Raja, Marius Pedersen:
A Comprehensive Analysis of AI Biases in DeepFake Detection With Massively Annotated Databases. CoRR abs/2208.05845 (2022) - [i13]Marco Huber, Philipp Terhörst, Florian Kirchbuchner, Naser Damer, Arjan Kuijper:
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition. CoRR abs/2210.10354 (2022) - [i12]Pedro C. Neto, Ana Filipa Sequeira
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition. CoRR abs/2211.12483 (2022) - 2021
- [b1]Philipp Terhörst:
Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems. Technical University of Darmstadt, Germany, 2021 - [j7]Philipp Terhörst
On Soft-Biometric Information Stored in Biometric Face Embeddings. IEEE Trans. Biom. Behav. Identity Sci. 3(4): 519-534 (2021) - [j6]Philipp Terhörst
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images. IEEE Trans. Inf. Forensics Secur. 16: 3942-3957 (2021) - [j5]Blaz Meden
Privacy-Enhancing Face Biometrics: A Comprehensive Survey. IEEE Trans. Inf. Forensics Secur. 16: 4147-4183 (2021) - [c21]Philipp Terhörst, André Boller, Naser Damer, Florian Kirchbuchner
MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence. IJCB 2021: 1-8 - [i11]Philipp Terhörst, Jan Niklas Kolf
A Comprehensive Study on Face Recognition Biases Beyond Demographics. CoRR abs/2103.01592 (2021) - [i10]Philipp Terhörst, André Boller, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence. CoRR abs/2106.05601 (2021) - [i9]Philipp Terhörst, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran B. Raja, Arjan Kuijper:
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition. CoRR abs/2110.11001 (2021) - [i8]Dailé Osorio Roig, Christian Rathgeb, Pawel Drozdowski, Philipp Terhörst, Vitomir Struc, Christoph Busch:
An Attack on Feature Level-based Facial Soft-biometric Privacy Enhancement. CoRR abs/2111.12405 (2021) - [i7]Philipp Terhörst, Malte Ihlefeld, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran B. Raja, Arjan Kuijper:
QMagFace: Simple and Accurate Quality-Aware Face Recognition. CoRR abs/2111.13475 (2021) - 2020
- [j4]Philipp Terhörst
PE-MIU: A Training-Free Privacy-Enhancing Face Recognition Approach Based on Minimum Information Units. IEEE Access 8: 93635-93647 (2020) - [j3]Philipp Terhörst
Post-comparison mitigation of demographic bias in face recognition using fair score normalization. Pattern Recognit. Lett. 140: 332-338 (2020) - [c20]Philipp Terhörst, Marco Huber
Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies. BIOSIG 2020: 215-222 - [c19]Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness. CVPR 2020: 5650-5659 - [c18]Blaz Bortolato, Marija Ivanovska, Peter Rot, Janez Krizaj, Philipp Terhörst, Naser Damer, Peter Peer, Vitomir Struc:
Learning privacy-enhancing face representations through feature disentanglement. FG 2020: 495-502 - [c17]Philipp Terhörst, Daniel Fährmann, Naser Damer, Florian Kirchbuchner
Beyond Identity: What Information Is Stored in Biometric Face Templates? IJCB 2020: 1-10 - [c16]Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition. IJCB 2020: 1-11 - [c15]Philipp Terhörst, Mai Ly Tran, Naser Damer, Florian Kirchbuchner
Comparison-Level Mitigation of Ethnic Bias in Face Recognition. IWBF 2020: 1-6 - [i6]Philipp Terhörst, Jan Niklas Kolf
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization. CoRR abs/2002.03592 (2020) - [i5]Philipp Terhörst, Marco Huber
Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition. CoRR abs/2002.09181 (2020) - [i4]Philipp Terhörst, Jan Niklas Kolf
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness. CoRR abs/2003.09373 (2020) - [i3]Philipp Terhörst, Jan Niklas Kolf
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition. CoRR abs/2004.01019 (2020) - [i2]Philipp Terhörst, Daniel Fährmann, Naser Damer, Florian Kirchbuchner
Beyond Identity: What Information Is Stored in Biometric Face Templates? CoRR abs/2009.09918 (2020) - [i1]Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images. CoRR abs/2012.01030 (2020)
2010 – 2019
- 2019
- [j2]Philipp Terhörst
Unsupervised privacy-enhancement of face representations using similarity-sensitive noise transformations. Appl. Intell. 49(8): 3043-3060 (2019) - [c14]Philipp Terhörst, Marco Huber
Reliable Age and Gender Estimation from Face Images: Stating the Confidence of Model Predictions. BTAS 2019: 1-8 - [c13]Fadi Boutros, Naser Damer, Philipp Terhörst, Florian Kirchbuchner, Arjan Kuijper:
Exploring the Channels of Multiple Color Spaces for Age and Gender Estimation from Face Images. FUSION 2019: 1-8 - [c12]Philipp Terhörst, Marco Huber
Multi-algorithmic Fusion for Reliable Age and Gender Estimation from Face Images. FUSION 2019: 1-8 - [c11]Naser Damer, Alexandra Mosegui Saladie, Steffen Zienert, Yaza Wainakh, Philipp Terhörst, Florian Kirchbuchner
To Detect or not to Detect: The Right Faces to Morph. ICB 2019: 1-8 - [c10]Philipp Terhörst, Naser Damer, Florian Kirchbuchner
Suppressing Gender and Age in Face Templates Using Incremental Variable Elimination. ICB 2019: 1-8 - 2018
- [c9]Philipp Terhörst, Naser Damer, Andreas Braun, Arjan Kuijper:
Minutiae-Based Gender Estimation for Full and Partial Fingerprints of Arbitrary Size and Shape. ACCV (1) 2018: 171-186 - [c8]Naser Damer, Yaza Wainakh, Viola Boller, Sven von den Berken, Philipp Terhörst, Andreas Braun, Arjan Kuijper:
CrazyFaces: Unassisted Circumvention of Watchlist Face Identification. BTAS 2018: 1-9 - [c7]Naser Damer
Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts. GCPR 2018: 518-534 - [c6]Naser Damer, Fadi Boutros, Philipp Terhörst, Andreas Braun, Arjan Kuijper:
P-Score: Performance Aligned Normalization and an Evaluation in Score-Level Multi-Biometric Fusion. EUSIPCO 2018: 1402-1406 - [c5]Naser Damer, Philipp Terhörst, Andreas Braun, Arjan Kuijper:
Fingerprint and Iris Multi-Biometric Data Indexing and Retrieval. FUSION 2018: 2083-2090 - [c4]Philipp Terhörst, Naser Damer, Andreas Braun, Arjan Kuijper:
Deep and Multi-Algorithmic Gender Classification of Single Fingerprint Minutiae. FUSION 2018: 2113-2120 - [c3]Philipp Terhörst, Naser Damer, Andreas Braun, Arjan Kuijper:
What can a single minutia tell about gender? IWBF 2018: 1-7 - 2017
- [j1]Naser Damer, Philipp Terhörst, Andreas Braun, Arjan Kuijper:
Efficient, Accurate, and Rotation-Invariant Iris Code. IEEE Signal Process. Lett. 24(8): 1233-1237 (2017) - [c2]Naser Damer, Philipp Terhörst, Andreas Braun, Arjan Kuijper:
Indexing of Single and Multi-instance Iris Data Based on LSH-Forest and Rotation Invariant Representation. CAIP (2) 2017: 190-201 - [c1]Naser Damer, Philipp Terhörst, Andreas Braun, Arjan Kuijper:
General borda count for multi-biometric retrieval. IJCB 2017: 420-428
Coauthor Index
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last updated on 2024-10-17 20:34 CEST by the dblp team
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