37 citations · 67 across the 7 of their papers we have counts for
7 papers
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics
Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed +1
Achieving an effective fine-grained appearance variation over 2D facial images, whilst preserving facial identity, is a challenging task due to the high complexity and entanglement…
Racial Bias within Face Recognition: A Survey
Seyma Yucer, Furkan Tektas, Noura Al Moubayed +1
Facial recognition is one of the most academically studied and industrially developed areas within computer vision where we readily find associated applications deployed globally.…
Does lossy image compression affect racial bias within face recognition?
Seyma Yucer, Matt Poyser, Noura Al Moubayed +1
Yes - This study investigates the impact of commonplace lossy image compression on face recognition algorithms with regard to the racial characteristics of the subject. We adopt a…
Measuring Hidden Bias within Face Recognition via Racial Phenotypes
Seyma Yucer, Furkan Tektas, Noura Al Moubayed +1
Recent work reports disparate performance for intersectional racial groups across face recognition tasks: face verification and identification. However, the definition of those rac…
RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle
Seyma Yucer, Furkan Tektas, Mesih Veysi Kilinc +4
Localization of a target object has been performed conventionally using multiple terrestrial reference nodes. This paradigm is recently shifted towards utilization of unmanned aeri…
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Seyma Yucer, Samet Akçay, Noura Al-Moubayed +1
Whilst face recognition applications are becoming increasingly prevalent within our daily lives, leading approaches in the field still suffer from performance bias to the detriment…
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning
Seyma Yucer, Yusuf Sinan Akgul
This paper proposes a new 3D Human Action Recognition system as a two-phase system: (1) Deep Metric Learning Module which learns a similarity metric between two 3D joint sequences…