Fetching the paper…
Reading the bibliography…
Existing public face datasets are strongly biased toward Caucasian faces, and other races (e.g., Latino) are significantly underrepresented.
Morph: A longitudinal image database of normal adult age-progression
K. Ricanek and T. Tesafaye · 2006
Earlier work this paper cites.
Labeled faces in the wild: A database for studying face recognition in unconstrained environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
Earlier work this paper cites.
Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
G. B. Huang, M. Mattar, T. Berg, and E. Learned-Miller · 2008
Earlier work this paper cites.
Visualizing data using t-sne
L. v. d. Maaten and G. Hinton · 2008
Earlier work this paper cites.
Encyclopedia of race, ethnicity, and society
R. T. Schaefer · 2008
Earlier work this paper cites.
Scface–surveillance cameras face database
M. Grgic, K. Delac, and S. Grgic · 2011
Earlier work this paper cites.
Describable visual attributes for face verification and image search
N. Kumar, A. Berg, P. N. Belhumeur, and S. Nayar · 2011
Earlier work this paper cites.
Unbiased look at dataset bias
A. Torralba and A. Efros · 2011
Earlier work this paper cites.
Person re-identification by attributes
R. Layne, T. M. Hospedales, S. Gong, and Q. Mary · 2012
Earlier work this paper cites.
Human attribute recognition by rich appearance dictionary
J. Joo, S. Wang, and S.-C. Zhu · 2013
Earlier work this paper cites.
Hybrid deep learning for face verification
Y. Sun, X. Wang, and X. Tang · 2013
Earlier work this paper cites.
Supervised descent method and its applications to face alignment
X. Xiong and F. De la Torre · 2013
Earlier work this paper cites.
Learning fair representations
R. Zemel, Y. Wu, K. Swersky, T. Pitassi, and C. Dwork · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
A data-driven approach to cleaning large face datasets
H.-W. Ng and S. Winkler · 2014
Earlier work this paper cites.
Face alignment at 3000 fps via regressing local binary features
S. Ren, X. Cao, Y. Wei, and J. Sun · 2014
Earlier work this paper cites.
Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 2014
Earlier work this paper cites.
Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Earlier work this paper cites.
Learning face representation from scratch
D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
Earlier work this paper cites.
Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset
B.-C. Chen, C.-S. Chen, and W. H. Hsu · 2015
Earlier work this paper cites.
Automated facial trait judgment and election outcome prediction: Social dimensions of face
J. Joo, F. F. Steen, and S.-C. Zhu · 2015
Earlier work this paper cites.
D. E. King · 2015
Earlier work this paper cites.
Clothing attributes assisted person reidentification
A. Li, L. Liu, K. Wang, S. Liu, and S. Yan · 2015
Earlier work this paper cites.
A convolutional neural network cascade for face detection
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua · 2015
Earlier work this paper cites.
Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
Earlier work this paper cites.
Deep face recognition
O. M. Parkhi, A. Vedaldi, A. Zisserman, et al · 2015
Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
Fitzpatrick skin type, individual typology angle, and melanin index in an african population: steps toward universally applicable skin photosensitivity assessments
M. Wilkes, C. Y. Wright, J. L. du Plessis, and A. Reeder · 2015
Cited alongside, same era.
Google photos tags two african-americans as gorillas through facial recognition software, Jul 2015
M. Zhang · 2015
Cited alongside, same era.
Learning social relation traits from face images
Z. Zhang, P. Luo, C.-C. Loy, and X. Tang · 2015
Cited alongside, same era.
Openface: A general-purpose face recognition library with mobile applications
How polarized have we become? a multimodal classification of trump followers and clinton followers
Y. Wang, Y. Feng, Z. Hong, R. Berger, and J. Luo · 2017
Later among the works it cites.
Protest activity detection and perceived violence estimation from social media images
D. Won, Z. C. Steinert-Threlkeld, and J. Joo · 2017
Later among the works it cites.
Fairness constraints: Mechanisms for fair classification
M. B. Zafar, I. Valera, M. G. Rogriguez, and K. P. Gummadi · 2017
Later among the works it cites.
Age progression/regression by conditional adversarial autoencoder
Z. Zhang, Y. Song, and H. Qi · 2017
Later among the works it cites.
Turning a blind eye: Explicit removal of biases and variation from deep neural network embeddings
M. Alvi, A. Zisserman, and C. Nellaaker · 2018
Later among the works it cites.
Openface 2.0: Facial behavior analysis toolkit
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
B. Amos, B. Ludwiczuk, M. Satyanarayanan, et al · 2016
Cited alongside, same era.
Chalearn looking at people and faces of the world: Face analysis workshop and challenge 2016
S. Escalera, M. Torres Torres, B. Martinez, X. Baró, H. Jair Escalante, I. Guyon, G. Tzimiropoulos, C. Corneou, M. Oliu, M. Ali Bagheri, et al · 2016
Cited alongside, same era.
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
Cited alongside, same era.
Equality of opportunity in supervised learning
M. Hardt, E. Price, N. Srebro, et al · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
The megaface benchmark: 1 million faces for recognition at scale
I. Kemelmacher-Shlizerman, S. M. Seitz, D. Miller, and E. Brossard · 2016
Cited alongside, same era.
Deep expectation of real and apparent age from a single image without facial landmarks
R. Rothe, R. Timofte, and L. V. Gool · 2016
Cited alongside, same era.
T. Baltrusaitis, A. Zadeh, Y. C. Lim, and L.-P. Morency · 2018
Later among the works it cites.
Gender shades: Intersectional accuracy disparities in commercial gender classification
J. Buolamwini and T. Gebru · 2018
Later among the works it cites.
Vggface2: A dataset for recognising faces across pose and age
Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman · 2018
Later among the works it cites.
Mitigating bias in gender, age and ethnicity classification: a multi-task convolution neural network approach
A. Das, A. Dantcheva, and F. Bremond · 2018
Later among the works it cites.
Heterogeneous face attribute estimation: A deep multi-task learning approach
H. Han, A. K. Jain, F. Wang, S. Shan, and X. Chen · 2018
Later among the works it cites.
Women also snowboard: Overcoming bias in captioning models
L. A. Hendricks, K. Burns, K. Saenko, T. Darrell, and A. Rohrbach · 2018
Later among the works it cites.
A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2018
Later among the works it cites.
Examining gender and race bias in two hundred sentiment analysis systems
S. Kiritchenko and S. M. Mohammad · 2018
Later among the works it cites.
Twitter as data
Z. C. Steinert-Threlkeld · 2018
Later among the works it cites.
Convnets and imagenet beyond accuracy: Understanding mistakes and uncovering biases
P. Stock and M. Cisse · 2018
Later among the works it cites.
Multi-task learning with low rank attribute embedding for multi-camera person re-identification
C. Su, F. Yang, S. Zhang, Q. Tian, L. S. Davis, and W. Gao · 2018
Later among the works it cites.
Learning tasks for multitask learning: Heterogenous patient populations in the icu
H. Suresh, J. J. Gong, and J. V. Guttag · 2018
Later among the works it cites.
Persuasive faces: Generating faces in advertisements
C. Thomas and A. Kovashka · 2018
Later among the works it cites.
Fairness definitions explained
S. Verma and J. Rubin · 2018
Later among the works it cites.
Mitigating unwanted biases with adversarial learning
B. H. Zhang, B. Lemoine, and M. Mitchell · 2018
Later among the works it cites.
Ai can be sexist and racist—it’s time to make it fair, 2018
J. Zou and L. Schiebinger · 2018
Later among the works it cites.
M. Merler, N. Ratha, R. S. Feris, and J. R. Smith · 2019
Closest in time.
Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial ai products
I. D. Raji and J. Buolamwini · 2019
Closest in time.
Understanding the political ideology of legislators from social media images
N. Xi, D. Ma, M. Liou, Z. C. Steinert-Threlkeld, J. Anastasopoulos, and J. Joo · 2019
Closest in time.