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Philipp Terhörst

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CR1
ORCID 0000-0001-8250-5712
same name
  • Philipp Terhörst — 3 papers, h 12
  • Philipp Terhörst — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedFrom Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks

Sebastian Groß, Stefan Heindorf, Philipp Terhörst

Traditional face recognition systems rely on extracting fixed face representations, known as templates, to store and verify identities. These representations are typically generate…

cs.CV2024★ 2 cited

From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing

Ivan DeAndres-Tame, Muhammad Faisal, Ruben Tolosana +3

Face Recognition (FR) has advanced significantly with the development of deep learning, achieving high accuracy in several applications. However, the lack of interpretability of th…

cs.CV2023

Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation

Marco Huber, Anh Thi Luu, Philipp Terhörst +1

Explainable Face Recognition is gaining growing attention as the use of the technology is gaining ground in security-critical applications. Understanding why two faces images are m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.