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An Experimental Evaluation of Covariates Effects on Unconstrained Face
  Verification

An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification

16 August 2018
Boyu Lu
Jun-Cheng Chen
Carlos D. Castillo
Rama Chellappa
    CVBM
ArXivPDFHTML

Papers citing "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification"

19 / 19 papers shown
Title
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Wang
Shu Hu
Shu Hu
EGVM
81
11
0
02 Jun 2024
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Daniel DeAlcala
Ignacio Serna
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
24
6
0
26 Apr 2023
Casual Conversations v2: Designing a large consent-driven dataset to
  measure algorithmic bias and robustness
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
C. Hazirbas
Yejin Bang
Tiezheng Yu
Parisa Assar
Bilal Porgali
...
Jacqueline Pan
Emily McReynolds
Miranda Bogen
Pascale Fung
Cristian Canton Ferrer
29
8
0
10 Nov 2022
Gendered Differences in Face Recognition Accuracy Explained by
  Hairstyles, Makeup, and Facial Morphology
Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology
Vítor Albiero
Kai Zhang
Michael C. King
Kevin W. Bowyer
CVBM
14
49
0
29 Dec 2021
Unsupervised Domain-Specific Deblurring using Scale-Specific Attention
Unsupervised Domain-Specific Deblurring using Scale-Specific Attention
Praveen Kandula
N. Rajagopalan.A.
35
0
0
12 Dec 2021
Unravelling the Effect of Image Distortions for Biased Prediction of
  Pre-trained Face Recognition Models
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
P. Majumdar
S. Mittal
Richa Singh
Mayank Vatsa
CVBM
43
19
0
14 Aug 2021
Learning Fair Face Representation With Progressive Cross Transformer
Learning Fair Face Representation With Progressive Cross Transformer
Yong Li
Yufei Sun
Zhen Cui
Shiguang Shan
Jian Yang
27
11
0
11 Aug 2021
Reliability and Validity of Image-Based and Self-Reported Skin Phenotype
  Metrics
Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics
John J. Howard
Yevgeniy B. Sirotin
Jerry L. Tipton
A. Vemury
25
27
0
18 Jun 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst
J. Kolf
Marco Huber
Florian Kirchbuchner
Naser Damer
Aythami Morales
Julian Fierrez
Arjan Kuijper
29
115
0
02 Mar 2021
Facial Expressions as a Vulnerability in Face Recognition
Facial Expressions as a Vulnerability in Face Recognition
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Àgata Lapedriza
CVBM
14
18
0
17 Nov 2020
Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are
Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are
Vítor Albiero
Kevin W. Bowyer
CVBM
FaML
21
38
0
16 Aug 2020
Deep multi-metric learning for text-independent speaker verification
Deep multi-metric learning for text-independent speaker verification
Jiwei Xu
Xinggang Wang
Bin Feng
Wenyu Liu
46
25
0
17 Jul 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna
Aythami Morales
Julian Fierrez
Manuel Cebrian
Nick Obradovich
Iyad Rahwan
FaML
CVBM
25
74
0
22 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
14
61
0
14 Apr 2020
A Method for Curation of Web-Scraped Face Image Datasets
A Method for Curation of Web-Scraped Face Image Datasets
Kai Zhang
Vítor Albiero
Kevin W. Bowyer
CVBM
22
5
0
07 Apr 2020
How Does Gender Balance In Training Data Affect Face Recognition
  Accuracy?
How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
Vítor Albiero
Kai Zhang
Kevin W. Bowyer
CVBM
FaML
17
62
0
07 Feb 2020
Deep Face Recognition Model Compression via Knowledge Transfer and
  Distillation
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation
J. Karlekar
Jiashi Feng
Zi Sian Wong
Sugiri Pranata
CVBM
26
13
0
03 Jun 2019
An All-In-One Convolutional Neural Network for Face Analysis
An All-In-One Convolutional Neural Network for Face Analysis
Rajeev Ranjan
S. Sankaranarayanan
Carlos D. Castillo
Rama Chellappa
CVBM
138
428
0
03 Nov 2016
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
250
921
0
03 Dec 2014
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