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Faces form the basis for a rich variety of judgments in humans, yet the underlying features remain poorly understood.
Performance evaluation of texture measures with classification based on kullback discrimination of distributions, in: Proceedings of 12th International Conference on Pattern Recognition, pp. 582–585 vol.1
Ojala, T., Pietikainen, M., Harwood, D., 1994 · 1994
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Gender and ethnicity identification from silhouetted face profiles, in: 2009 16th IEEE International Conference on Image Processing (ICIP), pp. 2441–2444
Tariq, U., Hu, Y., Huang, T.S., 2009 · 2009
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No role for lightness in the perception of black and white? simultaneous contrast affects perceived skin tone, but not perceived race
Brooks, K., Gwinn, O., 2010 · 2010
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Ethnic features extraction and recognition of human faces
Duan, X., Wang, C., Liu, Xiang-dong Li, Z., Wu, J., Zhang, H., 2010 · 2010
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Face recognition using histograms of oriented gradientsn
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Vadana: A dense dataset for facial image analysis, in: 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp. 2175–2182
Somanath, G., Rohith, M., Kambhamettu, C., 2011 · 2011
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Race identification for face images, pp. 118–120
Tin, H.H.K., Sein, M.M., 2011 · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E., 2012 · 2012
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Computational perspectives on the other race effect
O’Toole, A.J., Natu, V., 2013 · 2013
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Indian movie face database: A benchmark for face recognition under wide variations, in: NCVPRIPG, 2013, pp. 1–5
Setty, S., Husain, M., Beham, P., Gudavalli, J., Kandasamy, M., Vaddi, R., Hemadri, V., Karure, J.C., Raju, R., Rajan, B., Kumar, V., Jawahar, C.V., 2013 · 2013
Cited alongside, same era.
Learning race from face: A survey
Fu, S., He, H., Hou, Z.G., 2014 · 2014
Cited alongside, same era.
Active shape models with sift descriptors and mars
Milborrow, S., Nicolls, F., 2014 · 2014
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Age and gender classification using convolutional neural networks, in: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) workshops
Deep face recognition, in: British Machine Vision Conference
Parkhi, O.M., Vedaldi, A., Zisserman, A., 2015 · 2015
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Indian face age database: A database for face recognition with age variation
Sharma, R., Patterh, M.S., 2015 · 2015
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Do they all look the same? deciphering chinese, japanese and koreans by fine-grained deep learning
Wang, Y., Liao, H., Feng, Y., Xu, X., Jiebo., L., 2016 · 2016
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Understanding and comparing deep neural networks for age and gender classification, in: Proceedings of the ICCV’17 Workshop on Analysis and Modeling of Faces and Gestures (AMFG)
Lapuschkin, S., Binder, A., Müller, K.R., Samek, W., 2017 · 2017
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How do targets, nontargets, and scene context influence real-world object detection?
Katti, H., Peelen, M.V., Arun, S., 2017 · 2021
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Levi, G., Hassner, T., 2015 · 2015
Cited alongside, same era.
Face description with local binary patterns: Application to face recognition
Ahonen, T., Hadid, A., Pietikainen, M., 2006 · 2041
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