most citedRacial Bias within Face Recognition: A Survey

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Length is a Curse and a Blessing for Document-level Semantics

Chenghao Xiao, Yizhi Li, G Thomas Hudson +2

In recent years, contrastive learning (CL) has been extensively utilized to recover sentence and document-level encoding capability from pre-trained language models. In this work,…

cs.CV20233 cited

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.…

cs.CL2022

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations

Jialin Yu, Alexandra I. Cristea, Anoushka Harit +4

XAI with natural language processing aims to produce human-readable explanations as evidence for AI decision-making, which addresses explainability and transparency. However, from…

cs.CV2022

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…

cs.CV2022

Towards Graph Representation Learning Based Surgical Workflow Anticipation

Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum

Surgical workflow anticipation can give predictions on what steps to conduct or what instruments to use next, which is an essential part of the computer-assisted intervention syste…