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An Examination of Bias of Facial Analysis based BMI Prediction Models

An Examination of Bias of Facial Analysis based BMI Prediction Models

21 April 2022
Hera Siddiqui
A. Rattani
K. Ricanek
Twyla J. Hill
    CVBM
ArXivPDFHTML

Papers citing "An Examination of Bias of Facial Analysis based BMI Prediction Models"

9 / 9 papers shown
Title
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification
Basudha Pal
Siyuan
Huang
51
0
0
09 Mar 2025
A Self-Supervised Learning Pipeline for Demographically Fair Facial
  Attribute Classification
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Sreeraj Ramachandran
A. Rattani
18
1
0
14 Jul 2024
PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction
PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction
Parshuram N. Aarotale
Twyla J. Hill
A. Rattani
11
0
0
29 Nov 2023
Ethical Considerations for Responsible Data Curation
Ethical Considerations for Responsible Data Curation
Jerone T. A. Andrews
Dora Zhao
William Thong
Apostolos Modas
Orestis Papakyriakopoulos
Alice Xiang
14
19
0
07 Feb 2023
Is Facial Recognition Biased at Near-Infrared Spectrum As Well?
Is Facial Recognition Biased at Near-Infrared Spectrum As Well?
Anoop Krishnan
B. Neas
A. Rattani
CVBM
11
3
0
31 Oct 2022
Deep Generative Views to Mitigate Gender Classification Bias Across
  Gender-Race Groups
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Sreeraj Ramachandran
A. Rattani
FaML
10
13
0
17 Aug 2022
A New Periocular Dataset Collected by Mobile Devices in Unconstrained
  Scenarios
A New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios
L. A. Zanlorensi
Rayson Laroca
D. Lucio
Lucas R. Santos
A. Britto
David Menotti
CVBM
10
13
0
24 Nov 2020
On the Robustness of Face Recognition Algorithms Against Attacks and
  Bias
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh
Akshay Agarwal
Maneet Singh
Shruti Nagpal
Mayank Vatsa
CVBM
AAML
33
65
0
07 Feb 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
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