Yoti,
2022
Age estimation from face.
WWW Link.
Vendor, Age Estimation. Age estimation and other verification technology.
Lanitis, A.[Andreas],
Taylor, C.J.[Chris J.],
Cootes, T.F.,
Toward Automatic Simulation of Aging Effects on Face Images,
PAMI(24), No. 4, April 2002, pp. 442-455.
IEEE DOI
0204
BibRef
Earlier:
Modeling the Process of Ageing in Face Images,
ICCV99(131-136).
IEEE DOI
BibRef
And: A1, A3, A2:
Simulating Age Effects on Face Images,
AVBPA99(xx-yy).
See also Automatic Face Identification System Using Flexible Appearance Models.
BibRef
Lanitis, A.[Andreas],
Taylor, C.J.[Chris J.],
Towards Automatic Face Identification Robust to Ageing Variation,
AFGR00(391-396).
IEEE DOI
0003
BibRef
Lanitis, A.,
Draganova, C.,
Christodoulou, C.,
Comparing Different Classifiers for Automatic Age Estimation,
SMC-B(34), No. 1, February 2004, pp. 621-628.
IEEE Abstract.
0403
Different classifiers: a classifier based on the use of quadratic
functions for modeling the relationship between face model parameters
and age, a shortest distance classifier, and artificial neural network
based classifiers.
BibRef
Geng, X.[Xin],
Zhou, Z.H.[Zhi-Hua],
Smith-Miles, K.[Kate],
Automatic Age Estimation Based on Facial Aging Patterns,
PAMI(29), No. 12, December 2007, pp. 2234-2240.
IEEE DOI
0711
BibRef
And: Correction
PAMI(30), No. 2, February 2008, pp. 368-368.
IEEE DOI
0712
Model the aging pattern (sequence of face images sorted by time).
Choose age using
projection in the subspace that can reconstruct the face image with
minimum reconstruction error.
BibRef
Geng, X.[Xin],
Yin, C.[Chao],
Zhou, Z.H.[Zhi-Hua],
Facial Age Estimation by Learning from Label Distributions,
PAMI(35), No. 10, 2013, pp. 2401-2412.
IEEE DOI
1309
Aging
BibRef
Huo, Z.W.[Zeng-Wei],
Yang, X.[Xu],
Xing, C.[Chao],
Zhou, Y.[Ying],
Hou, P.[Peng],
Lv, J.Q.[Jia-Qi],
Geng, X.[Xin],
Deep Age Distribution Learning for Apparent Age Estimation,
ChaLearn16(722-729)
IEEE DOI
1612
BibRef
He, Z.Z.[Zhou-Zhou],
Li, X.[Xi],
Zhang, Z.F.[Zhong-Fei],
Wu, F.[Fei],
Geng, X.[Xin],
Zhang, Y.Q.[Ya-Qing],
Yang, M.H.[Ming-Hsuan],
Zhuang, Y.T.[Yue-Ting],
Data-Dependent Label Distribution Learning for Age Estimation,
IP(26), No. 8, August 2017, pp. 3846-3858.
IEEE DOI
1707
correlation methods, face recognition,
image coding, learning (artificial intelligence),
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BibRef
Gao, B.B.[Bin-Bin],
Xing, C.[Chao],
Xie, C.W.[Chen-Wei],
Wu, J.X.[Jian-Xin],
Geng, X.[Xin],
Deep Label Distribution Learning With Label Ambiguity,
IP(26), No. 6, June 2017, pp. 2825-2838.
IEEE DOI
1609
image classification, image recognition, image segmentation,
neural nets, pose estimation, DLDL method,
Kullback-Leibler divergence, ambiguous information,
apparent age estimation,
BibRef
Yang, X.,
Gao, B.B.,
Xing, C.,
Huo, Z.W.,
Wei, X.S.,
Zhou, Y.,
Wu, J.,
Geng, X.,
Deep Label Distribution Learning for Apparent Age Estimation,
ChaLearnDec15(344-350)
IEEE DOI
1602
Estimation
BibRef
Geng, X.[Xin],
Wang, Q.[Qin],
Xia, Y.[Yu],
Facial Age Estimation by Adaptive Label Distribution Learning,
ICPR14(4465-4470)
IEEE DOI
1412
Aging
BibRef
Shih, J.L.[Jau-Ling],
Lee, C.H.[Chang-Hsing],
Yang, C.S.[Chang-Shen],
An adult image identification system employing image retrieval
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PRL(28), No. 16, December 2007, pp. 2367-2374.
Elsevier DOI
0711
Adult image identification; Scalable color descriptor;
Edge histogram descriptor
BibRef
Guo, G.D.[Guo-Dong],
Fu, Y.[Yun],
Dyer, C.R.[Charles R.],
Huang, T.S.[Thomas S.],
Image-Based Human Age Estimation by Manifold Learning and Locally
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IP(17), No. 7, July 2008, pp. 1178-1188.
IEEE DOI
0806
BibRef
And:
A Probabilistic Fusion Approach to human age prediction,
SLAM08(1-6).
IEEE DOI
0806
BibRef
Earlier: A1, A2, A4, A3:
Locally Adjusted Robust Regression for Human Age Estimation,
WACV08(1-6).
IEEE DOI
0801
BibRef
Fu, Y.[Yun],
Guo, G.D.[Guo-Dong],
Huang, T.S.[Thomas S.],
Age Synthesis and Estimation via Faces: A Survey,
PAMI(32), No. 11, November 2010, pp. 1955-1976.
IEEE DOI
1011
Survey, Age Estimation.
BibRef
Mu, G.W.[Guo-Wang],
Guo, G.D.[Guo-Dong],
Fu, Y.[Yun],
Huang, T.S.[Thomas S.],
Human age estimation using bio-inspired features,
CVPR09(112-119).
IEEE DOI
0906
BibRef
Fu, Y.[Yun],
Huang, T.S.[Thomas S.],
Human Age Estimation With Regression on Discriminative Aging Manifold,
MultMed(10), No. 4, June 2008, pp. 578-584.
IEEE DOI
0905
BibRef
Li, Z.[Zhen],
Fu, Y.[Yun],
Huang, T.S.[Thomas S.],
A robust framework for multiview age estimation,
AMFG10(9-16).
IEEE DOI
1006
BibRef
Guo, G.D.[Guo-Dong],
Mu, G.W.[Guo-Wang],
Fu, Y.[Yun],
Dyer, C.[Charles],
Huang, T.S.[Thomas S.],
A study on automatic age estimation using a large database,
ICCV09(1986-1991).
IEEE DOI
0909
BibRef
Guo, G.D.[Guo-Dong],
Dyer, C.R.[Charles R.],
Fu, Y.[Yun],
Huang, T.S.[Thomas S.],
Is gender recognition affected by age?,
HCI09(2032-2039).
IEEE DOI
0910
BibRef
Lu, L.[Li],
Shi, P.F.[Peng-Fei],
Fusion of Multiple Facial Features for Age Estimation,
IEICE(E92-D), No. 9, September 2009, pp. 1815-1818.
WWW Link.
0910
BibRef
Ueki, K.[Kazuya],
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Ihara, Y.[Yasuyuki],
A Semi-Supervised Approach to Perceived Age Prediction from Face Images,
IEICE(E93-D), No. 10, October 2010, pp. 2875-2878.
WWW Link.
1011
BibRef
Ueki, K.[Kazuya],
Sugiyama, M.[Masashi],
Ihara, Y.[Yasuyuki],
Lighting Condition Adaptation for Perceived Age Estimation,
IEICE(E94-D), No. 2, February 2011, pp. 392-395.
WWW Link.
1102
BibRef
Earlier:
Perceived Age Estimation under Lighting Condition Change by Covariate
Shift Adaptation,
ICPR10(3400-3403).
IEEE DOI
1008
BibRef
Choi, S.E.[Sung Eun],
Lee, Y.J.[Youn Joo],
Lee, S.J.[Sung Joo],
Park, K.R.[Kang Ryoung],
Kim, J.H.[Jai-Hie],
Age estimation using a hierarchical classifier based on global and
local facial features,
PR(44), No. 6, June 2011, pp. 1262-1281.
Elsevier DOI
1102
BibRef
Earlier:
A comparative study of local feature extraction for age estimation,
ICARCV10(1280-1284).
IEEE DOI
1109
Age estimation; Hybrid features; Hierarchical classifier; Gabor
filter; Local binary pattern (LBP)
BibRef
Wang, J.G.[Jian-Gang],
Sung, E.[Eric],
Yau, W.Y.[Wei-Yun],
Active Learning for Solving the Incomplete Data Problem in Facial Age
Classification by the Furthest Nearest-Neighbor Criterion,
IP(20), No. 7, July 2011, pp. 2049-2062.
IEEE DOI
1107
BibRef
Earlier:
Active Learning with the Furthest Nearest Neighbor Criterion for Facial
Age Estimation,
ACCV10(IV: 11-24).
Springer DOI
1011
BibRef
Ogawa, T.[Tetsuji],
Ueki, K.[Kazuya],
Kobayashi, T.[Tetsunori],
Class-Distance-Based Discriminant Analysis and Its Application to
Supervised Automatic Age Estimation,
IEICE(E94-D), No. 8, August 2011, pp. 1683-1689.
WWW Link.
1108
BibRef
Ueki, K.[Kazuya],
Hayashida, T.[Teruhide],
Kobayashi, T.[Tetsunori],
Two-dimensional Heteroscedastic Linear Discriminant Analysis for
Age-group Classification,
ICPR06(II: 585-588).
IEEE DOI
0609
BibRef
Ueki, K.[Kazuya],
Miya, M.[Masakazu],
Ogawa, T.[Tetsuji],
Kobayashi, T.[Tetsunori],
Class Distance Weighted Locality Preserving Projection for Automatic
Age Estimation,
BTAS08(1-5).
IEEE DOI
0809
BibRef
Ueki, K.,
Hayashida, T.,
Kobayashi, T.,
Subspace-based Age-group Classification Using Facial Images under
Various Lighting Conditions,
FGR06(43-48).
IEEE DOI
0604
BibRef
Ueki, K.,
Komatsu, H.,
Imaizumi, S.,
Kaneko, K.,
Sekine, N.,
Katto, J.,
Kobayashi, T.,
A method of gender classification by integrating facial, hairstyle, and
clothing images,
ICPR04(IV: 446-449).
IEEE DOI
0409
BibRef
Wang, H.L.[Hee-Lin],
Wang, J.G.[Jian-Gang],
Yau, W.Y.[Wei-Yun],
Automated age regression for personalized IPTV services,
SP:IC(26), No. 7, August 2011, pp. 390-399.
Elsevier DOI
1108
Computer interaction; IPTV; Targeted advertisement; Automated age estimation
BibRef
Ni, B.,
Song, Z.,
Yan, S.,
Web Image and Video Mining Towards Universal and Robust Age Estimator,
MultMed(13), No. 6, 2011, pp. 1217-1229.
IEEE DOI
1112
BibRef
Lu, J.W.[Ji-Wen],
Tan, Y.P.[Yap-Peng],
Ordinary Preserving Manifold Analysis for Human Age and Head Pose
Estimation,
HMS(43), No. 2, March 2013, pp. 249-258.
IEEE DOI
1303
BibRef
Earlier:
Ordinary preserving manifold analysis for human age estimation,
Biometrics10(90-95).
IEEE DOI
1006
BibRef
And:
Cost-sensitive subspace learning for human age estimation,
ICIP10(1593-1596).
IEEE DOI
1009
BibRef
And:
Cost-sensitive subspace learning for face recognition,
CVPR10(2661-2666).
IEEE DOI
1006
BibRef
Earlier:
Enhanced face recognition using tensor neighborhood preserving
discriminant projections,
ICIP08(1916-1919).
IEEE DOI
0810
BibRef
Lu, J.W.[Ji-Wen],
Liong, V.E.,
Zhou, J.[Jie],
Cost-Sensitive Local Binary Feature Learning for Facial Age
Estimation,
IP(24), No. 12, December 2015, pp. 5356-5368.
IEEE DOI
1512
See also Learning Compact Binary Face Descriptor for Face Recognition.
See also Localized Multifeature Metric Learning for Image-Set-Based Face Recognition.
BibRef
Lu, J.W.[Ji-Wen],
Liong, V.E.,
Zhou, J.[Jie],
Simultaneous Local Binary Feature Learning and Encoding for
Homogeneous and Heterogeneous Face Recognition,
PAMI(40), No. 8, August 2018, pp. 1979-1993.
IEEE DOI
1807
BibRef
Earlier:
Simultaneous Local Binary Feature Learning and Encoding for Face
Recognition,
ICCV15(3721-3729)
IEEE DOI
1602
Binary codes, Encoding, Face, Face recognition, Feature extraction,
Learning systems, Robustness, Face recognition, binary feature,
heterogeneous face matching
BibRef
Liu, H.[Hao],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Group-aware deep feature learning for facial age estimation,
PR(66), No. 1, 2017, pp. 82-94.
Elsevier DOI
1704
BibRef
And:
Ordinal Deep Feature Learning for Facial Age Estimation,
FG17(157-164)
IEEE DOI
1707
Aging, Estimation, Face, Feature extraction, Learning systems,
Machine learning, Training
Facial age estimation
See also Context-Aware Local Binary Feature Learning for Face Recognition.
BibRef
Liu, H.[Hao],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Ordinal Deep Learning for Facial Age Estimation,
CirSysVideo(29), No. 2, February 2019, pp. 486-501.
IEEE DOI
1902
Face, Estimation, Machine learning, Training, Aging,
Facial age estimation, deep learning, feature learning, ordinal embedding
BibRef
Weng, R.L.[Ren-Liang],
Lu, J.W.[Ji-Wen],
Yang, G.[Gao],
Tan, Y.P.[Yap-Peng],
Multi-feature ordinal ranking for facial age estimation,
FG13(1-6)
IEEE DOI
1309
face recognition
BibRef
Sungatullina, D.,
Lu, J.W.[Ji-Wen],
Wang, G.[Gang],
Moulin, P.,
Multiview discriminative learning for age-invariant face recognition,
FG13(1-6)
IEEE DOI
1309
age issues
BibRef
Chao, W.L.[Wei-Lun],
Liu, J.Z.[Jun-Zuo],
Ding, J.J.[Jian-Jiun],
Facial age estimation based on label-sensitive learning and
age-oriented regression,
PR(46), No. 3, March 2013, pp. 628-641.
Elsevier DOI
1212
Machine learning; Pattern recognition; Manifold learning;
Dimensionality reduction; Distance metric learning; Local regression;
Age estimation
BibRef
Alnajar, F.[Fares],
Shan, C.F.[Cai-Feng],
Gevers, T.[Theo],
Geusebroek, J.M.[Jan-Mark],
Learning-based encoding with soft assignment for age estimation under
unconstrained imaging conditions,
IVC(30), No. 12, December 2012, pp. 946-953.
Elsevier DOI
1212
Age estimation; Codebook; Local features; Face
BibRef
Wang, X.,
Li, R.,
Zhou, Y.,
Kambhamettu, C.,
A Study of Convolutional Sparse Feature Learning for Human Age
Estimate,
FG17(566-572)
IEEE DOI
1707
Aging, Convolutional codes, Estimation, Face, Feature extraction,
Manifolds, Neural, networks
BibRef
Guo, G.D.[Guo-Dong],
Mu, G.W.[Guo-Wang],
A framework for joint estimation of age, gender and ethnicity on a
large database,
IVC(32), No. 10, 2014, pp. 761-770.
Elsevier DOI
1410
BibRef
Earlier:
Joint estimation of age, gender and ethnicity: CCA vs. PLS,
FG13(1-6).
IEEE DOI
1309
BibRef
Earlier:
Simultaneous dimensionality reduction and human age estimation via
kernel partial least squares regression,
CVPR11(657-664).
IEEE DOI
1106
BibRef
Earlier:
Human age estimation: What is the influence across race and gender?,
AMFG10(71-78).
IEEE DOI
1006
BibRef
And:
A study of large-scale ethnicity estimation with gender and age
variations,
AMFG10(79-86).
IEEE DOI
1006
Joint estimation of age, gender and ethnicity.
age issues
BibRef
Guo, G.D.[Guo-Dong],
Mu, G.W.[Guo-Wang],
Ricanek, K.[Karl],
Cross-Age Face Recognition on a Very Large Database: The Performance
versus Age Intervals and Improvement Using Soft Biometric Traits,
ICPR10(3392-3395).
IEEE DOI
1008
BibRef
Chang, K.Y.[Kuang-Yu],
Chen, C.S.[Chu-Song],
A Learning Framework for Age Rank Estimation Based on Face Images
With Scattering Transform,
IP(24), No. 3, March 2015, pp. 785-798.
IEEE DOI
1502
Gabor filters
BibRef
Chang, K.Y.[Kuang-Yu],
Chen, C.S.[Chu-Song],
Hung, Y.P.[Yi-Ping],
A Ranking Approach for Human Ages Estimation Based on Face Images,
ICPR10(3396-3399).
IEEE DOI
1008
BibRef
Yang, P.[Peng],
Zhong, L.[Lin],
Metaxas, D.N.[Dimitris N.],
Ranking Model for Facial Age Estimation,
ICPR10(3404-3407).
IEEE DOI
1008
BibRef
Dibeklioglu, H.[Hamdi],
Alnajar, F.,
Salah, A.A.[Albert Ali],
Gevers, T.[Theo],
Combining Facial Dynamics With Appearance for Age Estimation,
IP(24), No. 6, June 2015, pp. 1928-1943.
IEEE DOI
1504
Aging
See also Like Father, Like Son: Facial Expression Dynamics for Kinship Verification.
BibRef
Dibeklioglu, H.[Hamdi],
Gevers, T.[Theo],
Lucassen, M.[Marcel],
Salah, A.A.[Albert Ali],
The Role of Color and Contrast in Facial Age Estimation,
HBU14(52-61).
Springer DOI
1411
BibRef
Lou, Z.Y.[Zhong-Yu],
Alnajar, F.[Fares],
Alvarez, J.M.[Jose M.],
Hu, N.H.[Ning-Hang],
Gevers, T.[Theo],
Expression-Invariant Age Estimation Using Structured Learning,
PAMI(40), No. 2, February 2018, pp. 365-375.
IEEE DOI
1801
BibRef
Earlier: A2, A1, A3, A5, Only:
Expression-Invariant Age Estimation,
BMVC14(xx-yy).
HTML Version.
1410
Aging, Estimation, Face, Feature extraction, Graphical models,
Mathematical model, Training, Age estimation,
structured learning
BibRef
Li, C.,
Liu, Q.,
Dong, W.,
Zhu, X.,
Liu, J.,
Lu, H.,
Human Age Estimation Based on Locality and Ordinal Information,
Cyber(45), No. 11, November 2015, pp. 2522-2534.
IEEE DOI
1511
Aging
BibRef
Huerta, I.[Ivan],
Fernández, C.[Carles],
Segura, C.[Carlos],
Hernando, J.[Javier],
Prati, A.[Andrea],
A deep analysis on age estimation,
PRL(68, Part 2), No. 1, 2015, pp. 239-249.
Elsevier DOI
1512
Age estimation
BibRef
Pan, L.[Lili],
He, Q.S.[Qiang-Sen],
Zheng, Y.[Yali],
Xie, M.[Mei],
Using Correlated Regression Models to Calculate Cumulative Attributes
for Age Estimation,
IEICE(E98-D), No. 12, December 2015, pp. 2349-2352.
WWW Link.
1601
BibRef
Wang, S.,
Tao, D.,
Yang, J.,
Relative Attribute SVM: Learning for Age Estimation,
Cyber(46), No. 3, March 2016, pp. 827-839.
IEEE DOI
1602
Estimation
BibRef
Pontes, J.K.[Jhony K.],
de Souza Britto Junior, A.[Alceu],
Fookes, C.[Clinton],
Koerich, A.L.[Alessandro L.],
A flexible hierarchical approach for facial age estimation based on
multiple features,
PR(54), No. 1, 2016, pp. 34-51.
Elsevier DOI
1603
Age estimation
BibRef
Li, Y.[Ya],
Peng, Z.L.[Zhang-Lin],
Liang, D.P.[De-Peng],
Chang, H.Y.[Hui-You],
Cai, Z.Q.[Zhao-Quan],
Facial age estimation by using stacked feature composition and
selection,
VC(32), No. 12, December 2016, pp. 1525-1536.
WWW Link.
1611
BibRef
He, Z.,
Li, X.,
Zhang, Z.,
Zhang, Y.,
Xiao, J.,
Zhou, X.,
Structure-Aware Slow Feature Analysis for Age Estimation,
SPLetters(23), No. 12, December 2016, pp. 1702-1706.
IEEE DOI
1612
computer vision
BibRef
Feng, S.,
Lang, C.,
Feng, J.,
Wang, T.,
Luo, J.,
Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace
Norm Regularization,
MultMed(19), No. 1, January 2017, pp. 136-148.
IEEE DOI
1612
Aerospace electronics
BibRef
Chen, K.[Ke],
Jia, K.[Kui],
Zhang, Z.X.[Zhao-Xiang],
Kämäräinen, J.K.[Joni-Kristian],
Spectral attribute learning for visual regression,
PR(66), No. 1, 2017, pp. 74-81.
Elsevier DOI
1704
Facial age estimation
BibRef
Li, K.[Kai],
Xing, J.L.[Jun-Liang],
Hu, W.M.[Wei-Ming],
Maybank, S.J.[Stephen J.],
D2C: Deep cumulatively and comparatively learning for human age
estimation,
PR(66), No. 1, 2017, pp. 95-105.
Elsevier DOI
1704
Age estimation
BibRef
Xing, J.L.[Jun-Liang],
Li, K.[Kai],
Hu, W.M.[Wei-Ming],
Yuan, C.F.[Chun-Feng],
Ling, H.B.[Hai-Bin],
Diagnosing deep learning models for high accuracy age estimation from
a single image,
PR(66), No. 1, 2017, pp. 106-116.
Elsevier DOI
1704
Age estimation
BibRef
Hu, Z.,
Wen, Y.,
Wang, J.,
Wang, M.,
Hong, R.,
Yan, S.,
Facial Age Estimation With Age Difference,
IP(26), No. 7, July 2017, pp. 3087-3097.
IEEE DOI
1706
Aging, Entropy, Estimation, Face, Feature extraction, Machine learning,
Neural networks, Age difference, K-L divergence distance,
age estimation, convolutional, neural, networks
BibRef
Bukar, A.M.[Ali Maina],
Ugail, H.[Hassan],
Automatic age estimation from facial profile view,
IET-CV(11), No. 8, December 2017, pp. 650-655.
DOI Link
1712
BibRef
Ng, C.C.[Choon-Ching],
Yap, M.H.[Moi Hoon],
Cheng, Y.T.[Yi-Tseng],
Hsu, G.S.[Gee-Sern],
Hybrid Ageing Patterns for face age estimation,
IVC(69), 2018, pp. 92-102.
Elsevier DOI
1802
BibRef
Earlier: A1, A3, A4, A2:
Multi-layer age regression for face age estimation,
MVA17(294-297)
DOI Link
1708
Age estimation, Wrinkle detection, Facial appearance model,
Line tracking, Support vector regression.
Aging, Estimation, Face, Feature extraction,
Shape, Training
BibRef
Rothe, R.[Rasmus],
Timofte, R.[Radu],
Van Gool, L.J.[Luc J.],
Deep Expectation of Real and Apparent Age from a Single Image Without
Facial Landmarks,
IJCV(126), No. 2-4, April 2018, pp. 144-157.
Springer DOI
1804
BibRef
Earlier:
DEX: Deep EXpectation of Apparent Age from a Single Image,
ChaLearnDec15(252-257)
IEEE DOI
1602
Electronic publishing; Encyclopedias; Estimation; Face; Internet; Training
BibRef
Agustsson, E.,
Timofte, R.[Radu],
Escalera, S.,
Baro, X.,
Guyon, I.,
Rothe, R.[Rasmus],
Apparent and Real Age Estimation in Still Images with Deep Residual
Regressors on Appa-Real Database,
FG17(87-94)
IEEE DOI
1707
Databases, Estimation, Face, Face detection, Face recognition,
Feature extraction
BibRef
Yoo, B.,
Kwak, Y.,
Kim, Y.,
Choi, C.,
Kim, J.,
Deep Facial Age Estimation Using Conditional Multitask Learning With
Weak Label Expansion,
SPLetters(25), No. 6, June 2018, pp. 808-812.
IEEE DOI
1806
face recognition, image classification,
learning (artificial intelligence), neural nets, Alexnet,
label expansion
BibRef
Chen, S.,
Zhang, C.,
Dong, M.,
Deep Age Estimation: From Classification to Ranking,
MultMed(20), No. 8, August 2018, pp. 2209-2222.
IEEE DOI
1808
approximation theory, biometrics (access control), convergence,
convolution, error analysis, face recognition, feature extraction,
convergence
BibRef
Chen, S.,
Zhang, C.,
Dong, M.,
Le, J.,
Rao, M.,
Using Ranking-CNN for Age Estimation,
CVPR17(742-751)
IEEE DOI
1711
Aging, Benchmark testing, Estimation, Feature extraction,
Neural networks, Support vector machines, Training
BibRef
Wan, J.[Jun],
Tan, Z.C.[Zi-Chang],
Lei, Z.[Zhen],
Guo, G.D.[Guo-Dong],
Li, S.Z.[Stan Z.],
Auxiliary Demographic Information Assisted Age Estimation With
Cascaded Structure,
Cyber(48), No. 9, September 2018, pp. 2531-2541.
IEEE DOI
1809
feature extraction, feedforward neural nets, Gaussian processes,
gender issues, learning (artificial intelligence),
Gaussian process regression (GPR)
BibRef
Tan, Z.C.[Zi-Chang],
Wan, J.[Jun],
Lei, Z.[Zhen],
Zhi, R.C.[Rui-Cong],
Guo, G.D.[Guo-Dong],
Li, S.Z.[Stan Z.],
Efficient Group-n Encoding and Decoding for Facial Age Estimation,
PAMI(40), No. 11, November 2018, pp. 2610-2623.
IEEE DOI
1810
Estimation, Face, Training, Aging, Decoding, Encoding, Correlation,
Age estimation, deep learning, convolutional neural network,
data imbalance
BibRef
Tan, Z.C.[Zi-Chang],
Zhou, S.[Shuai],
Wan, J.[Jun],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Age Estimation Based on a Single Network with Soft Softmax of Aging
Modeling,
ACCV16(III: 203-216).
Springer DOI
1704
BibRef
Chen, L.M.[Li-Ming],
Fan, C.[Cien],
Yang, H.Y.[Hai-Yan],
Hu, S.Y.[Shi-Yong],
Zou, L.[Lian],
Deng, D.X.[De-Xiang],
Face age classification based on a deep hybrid model,
SIViP(12), No. 8, November 2018, pp. 1531-1539.
Springer DOI
1809
BibRef
Castrillón-Santana, M.[Modesto],
Lorenzo-Navarro, J.[Javier],
Travieso-González, C.M.[Carlos M.],
Freire-Obregón, D.[David],
Alonso-Hernández, J.B.[Jesús B.],
Evaluation of local descriptors and CNNs for non-adult detection in
visual content,
PRL(113), 2018, pp. 10-18.
Elsevier DOI
1810
Local descriptors, CNNs, Age estimation, Score level fusion
BibRef
González-Briones, A.[Alfonso],
Villarrubia, G.[Gabriel],
de Paz, J.F.[Juan F.],
Corchado, J.M.[Juan M.],
A multi-agent system for the classification of gender and age from
images,
CVIU(172), 2018, pp. 98-106.
Elsevier DOI
1812
Facial recognition, Automatic age estimation,
Automatic gender estimation, Preprocessing of images, Multi-agent system
BibRef
Acien, A.[Alejandro],
Morales, A.[Aythami],
Fierrez, J.[Julian],
Vera-Rodriguez, R.[Ruben],
Hernandez-Ortega, J.[Javier],
Active detection of age groups based on touch interaction,
IET-Bio(8), No. 1, January 2019, pp. 101-108.
DOI Link
1901
Not face based.
BibRef
Seidenari, L.[Lorenzo],
Rozza, A.[Alessandro],
del Bimbo, A.[Alberto],
Real-time demographic profiling from face imagery with Fisher vectors,
MVA(30), No. 2, March 2019, pp. 359-374.
WWW Link.
1904
BibRef
Earlier:
Real-Time Age Estimation from Face Imagery Using Fisher Vectors,
CIAP15(II:172-182).
Springer DOI
1511
BibRef
di Fina, D.,
Karaman, S.,
Bagdanov, A.D.[Andrew D.],
del Bimbo, A.[Alberto],
MORF: Multi-Objective Random Forests for face characteristic
estimation,
AVSS15(1-6)
IEEE DOI
1511
Head pose and multiple soft biometrics from faces (Age, Gender and Ethnicity).
BibRef
Torres, M.T.[Mercedes Torres],
Valstar, M.F.[Michel F.],
Henry, C.[Caroline],
Ward, C.[Carole],
Sharkey, D.[Don],
Postnatal gestational age estimation of newborns using Small Sample
Deep Learning,
IVC(83-84), 2019, pp. 87-99.
Elsevier DOI
1904
BibRef
Earlier:
Small Sample Deep Learning for Newborn Gestational Age Estimation,
FG17(79-86)
IEEE DOI
1707
Deep learning, Small sample, Gestational age.
Biomedical imaging, Ear, Estimation, Face, Image segmentation,
Machine learning, Pediatrics
BibRef
Mallouh, A.A.[Arafat Abu],
Qawaqneh, Z.[Zakariya],
Barkana, B.D.[Buket D.],
Utilizing CNNs and transfer learning of pre-trained models for age
range classification from unconstrained face images,
IVC(88), 2019, pp. 41-51.
Elsevier DOI
1908
Age range classification, CNNs, Deep learning,
Deep neural networks (DNNs), Face recognition
BibRef
Li, P.P.[Pei-Pei],
Hu, Y.[Yibo],
Wu, X.[Xiang],
He, R.[Ran],
Sun, Z.A.[Zhen-An],
Deep label refinement for age estimation,
PR(100), 2020, pp. 107178.
Elsevier DOI
2005
Age estimation, Deep learning, Convolutional neural networks, Label distribution learning
BibRef
Othmani, A.[Alice],
Taleb, A.R.[Abdul Rahman],
Abdelkawy, H.[Hazem],
Hadid, A.[Abdenour],
Age Estimation from Faces Using Deep Learning: A Comparative Analysis,
CVIU(196), 2020, pp. 102961.
Elsevier DOI
2006
Automatic age estimation, Deep ageing patterns Learning,
Convolutional neural network, Comparative analysis,
Knowledge transfer
BibRef
Carletti, V.[Vincenzo],
Greco, A.[Antonio],
Percannella, G.[Gennaro],
Vento, M.[Mario],
Age from Faces in the Deep Learning Revolution,
PAMI(42), No. 9, September 2020, pp. 2113-2132.
IEEE DOI
2008
Estimation, Deep learning, Face recognition, Training,
Face detection, Age estimation, deep learning, face analysis, survey, review
BibRef
Zhang, K.,
Liu, N.,
Yuan, X.,
Guo, X.,
Gao, C.,
Zhao, Z.,
Ma, Z.,
Fine-Grained Age Estimation in the Wild With Attention LSTM Networks,
CirSysVideo(30), No. 9, September 2020, pp. 3140-3152.
IEEE DOI
2009
Estimation, Feature extraction, Face, Benchmark testing,
Power systems, Aging, Fine-grained age estimation,
LSTM
BibRef
Cao, W.Z.[Wen-Zhi],
Mirjalili, V.[Vahid],
Raschka, S.[Sebastian],
Rank consistent ordinal regression for neural networks with
application to age estimation,
PRL(140), 2020, pp. 325-331.
Elsevier DOI
2012
Deep learning, Ordinal regression,
Convolutional neural networks, Age prediction, Biometrics
BibRef
Han, J.[Jian],
Wang, W.[Wei],
Karaoglu, S.[Sezer],
Zeng, W.[Wei],
Gevers, T.[Theo],
Pose invariant age estimation of face images in the wild,
CVIU(202), 2021, pp. 103123.
Elsevier DOI
2012
Face age dataset, face age estimation
BibRef
Ilyas, M.[Muhammad],
Nait-ali, A.[Amine],
Auditory perception vs. face based systems for human age estimation
in unsupervised environments: from countermeasure to multimodality,
PRL(142), 2021, pp. 39-45.
Elsevier DOI
2101
Age estimation, Countermeasures, Forensics,
Multimodal biometrics, Unsupervised biometrics, RaS-DeeP
BibRef
Duan, M.,
Ouyang, A.,
Tan, G.,
Tian, Q.,
Age Estimation Using Aging/Rejuvenation Features With Device-Edge
Synergy,
CirSysVideo(31), No. 2, February 2021, pp. 608-620.
IEEE DOI
2102
Estimation, Edge computing, Computational modeling, Manifolds,
Deep learning, Task analysis, Servers, Age estimation, edge server
BibRef
Akbari, A.[Ali],
Awais, M.[Muhammad],
Feng, Z.H.[Zhen-Hua],
Farooq, A.[Ammarah],
Kittler, J.V.[Josef V.],
Distribution Cognisant Loss for Cross-Database Facial Age Estimation
With Sensitivity Analysis,
PAMI(44), No. 4, April 2022, pp. 1869-1887.
IEEE DOI
2203
BibRef
Earlier:
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age
Estimation,
ICPR21(10629-10635)
IEEE DOI
2105
Estimation, Databases, Training, Protocols, Loss measurement, Faces,
Testing, Age estimation, Generalisation, divergence measures,
sensitivity analysis.
Neural networks, Stochastic processes, Benchmark testing, Pattern recognition
BibRef
Akbari, A.[Ali],
Awais, M.[Muhammad],
Fatemifar, S.[Soroush],
Khalid, S.S.[Syed Safwan],
Kittler, J.V.[Josef V.],
A Novel Ground Metric for Optimal Transport-Based Chronological Age
Estimation,
Cyber(52), No. 10, October 2022, pp. 9986-9999.
IEEE DOI
2209
Estimation, Semantics, Measurement, Faces, Training, Loss measurement,
TV, Age estimation, deep label distribution learning (LDL),
Wasserstein metric
BibRef
Smith-Miles, K.[Kate],
Geng, X.[Xin],
Revisiting Facial Age Estimation With New Insights From Instance
Space Analysis,
PAMI(44), No. 5, May 2022, pp. 2689-2697.
IEEE DOI
2204
Faces, Prediction algorithms, Shape, Estimation,
Machine learning algorithms, Clustering algorithms,
no-free-lunch theorem
BibRef
Li, W.[Wanhua],
Lu, J.W.[Ji-Wen],
Wuerkaixi, A.[Abudukelimu],
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
MetaAge: Meta-Learning Personalized Age Estimators,
IP(31), 2022, pp. 4761-4775.
IEEE DOI
2208
Estimation, Aging, Training, Task analysis, Faces, Feature extraction,
Adaptation models, Age estimation, meta learning,
aging pattern
BibRef
Korban, M.[Matthew],
Youngs, P.[Peter],
Acton, S.T.[Scott T.],
TAA-GCN: A temporally aware Adaptive Graph Convolutional Network for
age estimation,
PR(134), 2023, pp. 109066.
Elsevier DOI
2212
Age estimation, Graph convolutional network, Facial graphs, Skeletal graphs
BibRef
Huang, Z.Z.[Zhi-Zhong],
Zhang, J.P.[Jun-Ping],
Shan, H.M.[Hong-Ming],
When Age-Invariant Face Recognition Meets Face Age Synthesis: A
Multi-Task Learning Framework and a New Benchmark,
PAMI(45), No. 6, June 2023, pp. 7917-7932.
IEEE DOI
2305
BibRef
Earlier:
When Age-Invariant Face Recognition Meets Face Age Synthesis:
A Multi-Task Learning Framework,
CVPR21(7278-7287)
IEEE DOI
2111
Face recognition, Feature extraction, Task analysis,
Benchmark testing, Multitasking, Aging, Visualization,
generative adversarial networks.
Training, Correlation, Face recognition, Feature extraction
BibRef
Liu, N.[Na],
Zhang, F.[Fan],
Duan, F.Q.[Fu-Qing],
Age estimation by extracting hierarchical age-related features,
JVCIR(95), 2023, pp. 103884.
Elsevier DOI
2309
Age estimation, Convolutional neural network (CNN),
Deep learning, Global and local features, Multi-task learning
BibRef
Kale, A.[Ayse],
Altun, O.[Oguz],
Face age synthesis:
A review on datasets, methods, and open research areas,
PR(143), 2023, pp. 109791.
Elsevier DOI
2310
Age progression, Age regression, Face aging, GANs
BibRef
Zhao, Y.Z.[Yu-Zhi],
Po, L.M.[Lai-Man],
Wang, X.[Xuehui],
Yan, Q.[Qiong],
Shen, W.[Wei],
Zhang, Y.[Yujia],
Liu, W.[Wei],
Wong, C.K.[Chun-Kit],
Pang, C.S.[Chiu-Sing],
Ou, W.F.[Wei-Feng],
Yu, W.Y.[Wing-Yin],
Liu, B.[Buhua],
ChildPredictor: A Child Face Prediction Framework With Disentangled
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MultMed(25), 2023, pp. 3737-3752.
IEEE DOI Code:
WWW Link.
2310
BibRef
Bao, Z.H.[Zeng-Hao],
Tan, Z.C.[Zi-Chang],
Li, J.[Jun],
Wan, J.[Jun],
Ma, X.[Xibo],
Lei, Z.[Zhen],
General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds
With One Stone,
IP(32), 2023, pp. 6155-6167.
IEEE DOI
2311
BibRef
Liu, H.[Hao],
Ma, M.[Mei],
Gao, Z.X.[Zi-Xian],
Deng, Z.Y.[Zong-Yong],
Li, F.J.[Feng-Jun],
Li, Z.D.[Zhen-Dong],
Siamese Graph Learning for Semi-Supervised Age Estimation,
MultMed(25), 2023, pp. 9586-9596.
IEEE DOI
2312
BibRef
Akbari, A.[Ali],
Awais, M.[Muhammad],
Fatemifar, S.[Soroush],
Khalid, S.S.[Syed Safwan],
Kittler, J.V.[Josef V.],
RAgE: Robust Age Estimation Through Subject Anchoring With
Consistency Regularisation,
PAMI(46), No. 3, March 2024, pp. 1603-1617.
IEEE DOI
2402
Estimation, Data models, Training, Robustness, Lighting,
Semisupervised learning, Predictive models, Age estimation.
BibRef
Chae, Y.[Yeongnam],
Raha, P.[Poulami],
Kim, M.[Mijung],
Stenger, B.[Björn],
Age Prediction From Face Images Via Contrastive Learning,
MVA23(1-6)
DOI Link
2403
Machine vision, Estimation, Feature extraction, Faces
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Chen, P.[Ping],
Zhang, X.[Xingpeng],
Li, Y.[Ye],
Tao, J.[Ju],
Xiao, B.[Bin],
Wang, B.[Bing],
Jiang, Z.[Zongjie],
DAA: A Delta Age AdaIN operation for age estimation via binary code
transformer,
CVPR23(15836-15845)
IEEE DOI
2309
BibRef
Jöchl, R.[Robert],
Uhl, A.[Andreas],
Content bias in deep learning image age approximation: A new approach
towards better explainability,
PRL(182), 2024, pp. 90-96.
Elsevier DOI
2405
BibRef
Earlier:
Deep Learning Image Age Approximation - What is More Relevant:
Image Content or Age Information?,
IWDW22(114-128).
Springer DOI
2307
Image age approximation, Image age features, Image content,
Deep learning, Image forensics, Explainable artificial intelligence
BibRef
Cao, Y.S.[Yu-Shi],
Berend, D.[David],
Tolmach, P.[Palina],
Amit, G.[Guy],
Levy, M.[Moshe],
Liu, Y.[Yang],
Shabtai, A.[Asaf],
Elovici, Y.[Yuval],
Fair and accurate age prediction using distribution aware data
curation and augmentation,
WACV22(2867-2877)
IEEE DOI
2202
Cloud computing, Codes, Face recognition,
Training data, Prediction methods, Benchmark testing,
Learning and Optimization
BibRef
Jöchl, R.[Robert],
Uhl, A.[Andreas],
Identification of In-Field Sensor Defects In the Context of Image Age
Approximation,
ICIP21(3043-3047)
IEEE DOI
2201
Performance evaluation, Image sensors, Image forensics, Robustness,
Computational efficiency, Spatial resolution,
age approximation
BibRef
Toubal, I.E.[Imad Eddine],
Lyu, L.[Linquan],
Lin, D.[Dan],
Palaniappan, K.,
Single View Facial Age Estimation Using Deep Learning with Cascaded
Random Forests,
CAIP21(II:285-296).
Springer DOI
2112
BibRef
Castellano, G.[Giovanna],
de Carolis, B.[Berardina],
Marvulli, N.[Nicola],
Sciancalepore, M.[Mauro],
Vessio, G.[Gennaro],
Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet,
CAIP21(II:275-284).
Springer DOI
2112
BibRef
Greco, A.[Antonio],
Guess the Age 2021: Age Estimation from Facial Images with Deep
Convolutional Neural Networks,
CAIP21(II:265-274).
Springer DOI
2112
BibRef
Lin, Y.H.[Yu-Hong],
Tang, C.H.[Chia-Hao],
Chen, Z.T.[Zhi-Ting],
Hsu, G.S.J.[Gee-Sern Jison],
Shopon, M.[Md],
Gavrilova, M.[Marina],
Age-Style and Alignment Augmentation for Facial Age Estimation,
CAIP21(II:297-307).
Springer DOI
2112
BibRef
Bao, Z.H.[Zeng-Hao],
Tan, Z.C.[Zi-Chang],
Zhu, Y.[Yu],
Wan, J.[Jun],
Ma, X.[Xibo],
Lei, Z.[Zhen],
Guo, G.D.[Guo-Dong],
LAE: Long-Tailed Age Estimation,
CAIP21(II:308-316).
Springer DOI
2112
BibRef
Deng, Z.Y.[Zong-Yong],
Liu, H.[Hao],
Wang, Y.X.[Yao-Xing],
Wang, C.Y.[Chen-Yang],
Yu, Z.[Zekuan],
Sun, X.H.[Xue-Hong],
PML: Progressive Margin Loss for Long-tailed Age Classification,
CVPR21(10498-10507)
IEEE DOI
2111
Training, Deep learning, Codes, Face recognition,
Aging, Optimization
BibRef
Wen, X.[Xin],
Li, B.Y.[Bi-Ying],
Guo, H.Y.[Hai-Yun],
Liu, Z.W.[Zhi-Wei],
Hu, G.S.[Guo-Sheng],
Tang, M.[Ming],
Wang, J.Q.[Jin-Qiao],
Adaptive Variance Based Label Distribution Learning for Facial Age
Estimation,
ECCV20(XXIII:379-395).
Springer DOI
2011
BibRef
Li, W.[Wanhua],
Lu, J.W.[Ji-Wen],
Feng, J.J.[Jian-Jiang],
Xu, C.[Chunjing],
Zhou, J.[Jie],
Tian, Q.[Qi],
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation,
CVPR19(1145-1154).
IEEE DOI
2002
BibRef
Zhang, C.[Chao],
Liu, S.C.[Shuai-Cheng],
Xu, X.[Xun],
Zhu, C.[Ce],
C3AE: Exploring the Limits of Compact Model for Age Estimation,
CVPR19(12579-12588).
IEEE DOI
2002
BibRef
Kwon, H.J.,
Koo, H.I.[H. Il],
Soh, J.W.,
Cho, N.I.[N. Ik],
Age Estimation Using Trainable Gabor Wavelet Layers In A
Convolutional Neural Network,
ICIP19(3626-3630)
IEEE DOI
1910
Artificial neural networks, Feature extraction, Gabor filters, Age estimation
BibRef
Teh, E.W.,
Taylor, G.,
Apparent Age Estimation with Relational Networks,
CRV19(89-96)
IEEE DOI
1908
Estimation, Face, Information services, Electronic publishing,
Internet, Computer architecture, Training, Relational Network,
Regression
BibRef
Jaiswal, S.,
Egede, J.,
Valstar, M.,
Deep Learned Cumulative Attribute Regression,
FG18(715-722)
IEEE DOI
1806
Estimation, Face recognition, Gold, Machine learning, Pain,
Task analysis, Training, age estimation, cnn, cumulative attributes,
sparse data
BibRef
Drobnyh, K.A.,
Polovinkin, A.N.,
Using Supervised Deep Learning for Human Age Estimation Problem,
PTVSBB17(97-100).
DOI Link
1805
BibRef
Sun, L.,
Qiu, S.,
Liu, H.,
Zhou, M.,
Li, Q.,
Facial age estimation through self-paced learning,
VCIP17(1-4)
IEEE DOI
1804
convolution, estimation theory, face recognition,
feedforward neural nets, learning (artificial intelligence),
Training
BibRef
Zheng, T.,
Deng, W.,
Hu, J.,
Deep probabilities for age estimation,
VCIP17(1-4)
IEEE DOI
1804
face recognition, feature extraction, feedforward neural nets,
image classification, learning (artificial intelligence),
probability
BibRef
He, Y.,
Huang, M.,
Miao, Q.,
Guo, H.,
Wang, J.,
Deep embedding network for robust age estimation,
ICIP17(1092-1096)
IEEE DOI
1803
Aging, Databases, Estimation, Face, Measurement, Neural networks,
Training, age estimation, convolutional neural network, multi-task loss
BibRef
Shang, C.,
Ai, H.,
Cluster convolutional neural networks for facial age estimation,
ICIP17(1817-1821)
IEEE DOI
1803
Clustering algorithms, Estimation, Face, Feature extraction,
Machine learning, Task analysis, Training, Age estimation,
face age
BibRef
Angulu, R.[Raphael],
Tapamo, J.R.[Jules R.],
Adewumi, A.O.[Aderemi O.],
Age Estimation with Local Ternary Directional Patterns,
PSIVT17(421-434).
Springer DOI
1802
BibRef
Agustsson, E.,
Timofte, R.,
Van Gool, L.J.,
Anchored Regression Networks Applied to Age Estimation and Super
Resolution,
ICCV17(1652-1661)
IEEE DOI
1802
estimation theory, face recognition, gradient methods,
image resolution, learning (artificial intelligence),
Training data
BibRef
del Coco, M.[Marco],
Carcagnì, P.[Pierluigi],
Leo, M.[Marco],
Spagnolo, P.[Paolo],
Mazzeo, P.L.[Pier Luigi],
Distante, C.[Cosimo],
Multi-branch CNN for Multi-scale Age Estimation,
CIAP17(II:234-244).
Springer DOI
1711
BibRef
Zheng, T.,
Deng, W.,
Hu, J.,
Age Estimation Guided Convolutional Neural Network for Age-Invariant
Face Recognition,
Biometrics17(503-511)
IEEE DOI
1709
Aging, Estimation, Face, Face recognition, Feature, extraction
BibRef
Hsu, G.S.J.,
Cheng, Y.T.,
Ng, C.C.,
Yap, M.H.,
Component Biologically Inspired Features with Moving Segmentation for
Age Estimation,
Biometrics17(540-547)
IEEE DOI
1709
Convolution, Databases, Estimation, Face, Feature extraction,
Support vector machines, Training
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Tian, Q.,
Chen, S.C.[Song-Can],
Cross-heterogeneous-database age estimation with co-representation
among them,
ICPR16(1333-1338)
IEEE DOI
1705
Aging, Databases, Estimation, Monitoring, Pattern recognition,
Testing, Training
BibRef
Ambikapathi, A.[Arul_Murugan],
Cheng, Y.T.[Yi-Tseng],
Hsu, G.S.J.[Gee-Sern Jison],
Hsieh, C.H.[Cheng-Hua],
Reliable Age Estimation Based on Apt Gabor Features Selection and SVM,
WFI16(II: 407-416).
Springer DOI
1704
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Chen, K.[Ke],
Kämäräinen, J.K.[Joni-Kristian],
Learning with Ambiguous Label Distribution for Apparent Age Estimation,
ACCV16(III: 330-343).
Springer DOI
1704
BibRef
Earlier:
Learning to Count with Back-propagated Information,
ICPR14(4672-4677)
IEEE DOI
1412
Benchmark testing
BibRef
Gowda, S.N.[Shreyank N.],
Age Estimation by LS-SVM Regression on Facial Images,
ISVC16(II: 370-379).
Springer DOI
1701
BibRef
Malli, R.C.,
Aygün, M.,
Ekenel, H.K.,
Apparent Age Estimation Using Ensemble of Deep Learning Models,
ChaLearn16(714-721)
IEEE DOI
1612
BibRef
Antipov, G.[Grigory],
Baccouche, M.,
Berrani, S.A.[Sid-Ahmed],
Dugelay, J.L.[Jean-Luc],
Apparent Age Estimation from Face Images Combining General and
Children-Specialized Deep Learning Models,
ChaLearn16(801-809)
IEEE DOI
1612
BibRef
Niu, Z.,
Zhou, M.,
Wang, L.,
Gao, X.,
Hua, G.,
Ordinal Regression with Multiple Output CNN for Age Estimation,
CVPR16(4920-4928)
IEEE DOI
1612
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Liu, T.J.,
Liu, K.H.,
Liu, H.H.,
Pei, S.C.,
Age estimation via fusion of multiple binary age grouping systems,
ICIP16(609-613)
IEEE DOI
1610
Aging
BibRef
Liu, H.,
Sun, X.,
Linear canonical correlation analysis based ranking approach for
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ICIP16(3249-3253)
IEEE DOI
1610
Computational modeling
BibRef
Liu, X.,
Li, S.,
Kan, M.,
Zhang, J.,
Wu, S.,
Liu, W.,
Han, H.,
Shan, S.,
Chen, X.,
AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent
Age Estimation,
ChaLearnDec15(258-266)
IEEE DOI
1602
Aging;Encoding;Estimation;Face;Neural networks;Robustness;Standards
BibRef
Zhu, Y.,
Li, Y.,
Mu, G.W.[Guo-Wang],
Guo, G.D.[Guo-Dong],
A Study on Apparent Age Estimation,
ChaLearnDec15(267-273)
IEEE DOI
1602
Computer architecture
BibRef
Kuang, Z.,
Huang, C.,
Zhang, W.,
Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation,
ChaLearnDec15(338-343)
IEEE DOI
1602
Binary codes
BibRef
Ranjan, R.,
Zhou, S.,
Chen, J.C.,
Kumar, A.,
Alavi, A.,
Patel, V.M.[Vishal M.],
Chellappa, R.,
Unconstrained Age Estimation with Deep Convolutional Neural Networks,
ChaLearnDec15(351-359)
IEEE DOI
1602
Estimation
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Yang, H.F.[Huei-Fang],
Lin, B.Y.[Bo-Yao],
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Automatic Age Estimation from Face Images via Deep Ranking,
BMVC15(xx-yy).
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1601
BibRef
Zou, M.[Ming],
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Facial Age Estimation with Images in the Wild,
MMMod16(I: 454-465).
Springer DOI
1601
BibRef
Alnajar, F.[Fares],
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Age estimation under changes in image quality: An experimental study,
ICIP15(3987-3991)
IEEE DOI
1512
BibRef
Gao, D.F.[Di-Fei],
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Chen, R.[Rui],
Xie, M.[Mei],
Correlated warped Gaussian processes for gender-specific age
estimation,
ICIP15(133-137)
IEEE DOI
1512
age estimation; correlated regularization
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Kim, J.[Jiwhan],
Han, D.Y.[Dong-Yoon],
Sohn, S.[Sungryull],
Kim, J.[Junmo],
Facial age estimation via extended curvature Gabor filter,
ICIP15(1165-1169)
IEEE DOI
1512
Age estimation; Gabor Filter; feature selection; random forest; regression
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Demontis, A.[Ambra],
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Super-Sparse Regression for Fast Age Estimation from Faces at Test Time,
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1511
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Wang, X.L.[Xiao-Long],
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Age estimation via unsupervised neural networks,
FG15(1-6)
IEEE DOI
1508
face recognition
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Yi, D.[Dong],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Age Estimation by Multi-scale Convolutional Network,
ACCV14(III: 144-158).
Springer DOI
1504
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An Overview of Research Activities in Facial Age Estimation Using the
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1504
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1504
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Deeply-Learned Feature for Age Estimation,
WACV15(534-541)
IEEE DOI
1503
Aging
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Guo, G.D.[Guo-Dong],
Zhang, C.[Chao],
A Study on Cross-Population Age Estimation,
CVPR14(4257-4263)
IEEE DOI
1409
Age estimation
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Age Estimation Using Local Binary Pattern Kernel Density Estimate,
CIAP13(I:141-150).
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1311
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Zhang, C.[Chao],
Guo, G.D.[Guo-Dong],
Exploiting Unlabeled Ages for Aging Pattern Analysis on a Large
Database,
BDCV13(458-464)
IEEE DOI
1309
Age estimation; big data; semi-supervised; unlabeled ages; unsupervised
BibRef
Li, C.S.[Chang-Sheng],
Liu, Q.S.[Qing-Shan],
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Lu, H.Q.[Han-Qing],
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ICPR12(2327-2330).
WWW Link.
1302
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And:
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CVPR12(2570-2577).
IEEE DOI
1208
BibRef
Guo, G.D.[Guo-Dong],
Wang, X.L.[Xiao-Long],
A study on human age estimation under facial expression changes,
CVPR12(2547-2553).
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1208
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ICMR11(38).
DOI Link
1301
consider the aging process as person specific
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Human Age Estimation Via Geometric And Textural Features,
VISAPP12(xx-yy).
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Fan, N.[Na],
Learning nonlinear distance functions using neural network for
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ICCV11(249-254).
IEEE DOI
1201
BibRef
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Ni, B.B.[Bing-Bing],
Guo, D.[Dong],
Sim, T.[Terence],
Yan, S.C.[Shui-Cheng],
Learning universal multi-view age estimator using video context,
ICCV11(241-248).
IEEE DOI
1201
Generalize to non-frontal faces.
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Liang, Y.X.[Yi-Xiong],
Liu, L.B.[Ling-Bo],
Xu, Y.[Ying],
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Zou, B.[Beiji],
Multi-task GLOH feature selection for human age estimation,
ICIP11(565-568).
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1201
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Wang, H.L.[Hee Lin],
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Chua, X.L.[Xing Lun],
Tan, Y.P.[Yap Peng],
Effects of facial alignment for age estimation,
ICARCV10(644-647).
IEEE DOI
1109
BibRef
Chang, K.Y.[Kuang-Yu],
Chen, C.S.[Chu-Song],
Hung, Y.P.[Yi-Ping],
Ordinal hyperplanes ranker with cost sensitivities for age estimation,
CVPR11(585-592).
IEEE DOI
1106
BibRef
Konishi, M.[Masato],
Tobitani, K.[Kensuke],
Katahira, K.[Kenji],
Azuma, Y.[Yasuhiro],
Nagata, N.[Noriko],
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Estimation of subjective age based on the facial images of others:
experimental verification of a younger identity caused by the effect of
delusions of the accumulated memory of a known face,
FCV13(67-73).
IEEE DOI
1304
BibRef
Azuma, Y.[Yasuhiro],
Konishi, M.[Masato],
Miyamoto, N.[Naoyuki],
Fujisawa, T.X.[Takashi X.],
Nagata, N.[Noriko],
Kosaka, A.[Akio],
Estimation of subjective age based on facial images of others:
Comparative studies of the Americans and the Japanese,
FCV11(1-6).
IEEE DOI
1102
BibRef
Fukunaga, T.[Takashi],
Hayashi, J.I.[Jun-Ichiro],
A method for age estimation based on Co-occurrence histogram,
FCV11(1-5).
IEEE DOI
1102
BibRef
El-Dib, M.Y.[Mohamed Y.],
El-Saban, M.[Motaz],
Human age estimation using enhanced bio-inspired features (EBIF),
ICIP10(1589-1592).
IEEE DOI
1009
BibRef
Fang, H.[Hui],
Grant, P.[Phil],
Chen, M.[Min],
Discriminant Feature Manifold for Facial Aging Estimation,
ICPR10(593-596).
IEEE DOI
1008
BibRef
Hernandez, J.R.[John Ruiz],
Crowley, J.L.[James L.],
Lux, A.[Augustin],
'How old are you?': Age Estimation with Tensors of Binary Gaussian
Receptive Maps,
BMVC10(xx-yy).
HTML Version.
1009
BibRef
And:
Tensor-Jet:
A tensorial representation of Local Binary Gaussian Jet maps,
AMFG10(41-47).
IEEE DOI
1006
See also Face recognition using tensors of census transform histograms from Gaussian features maps.
BibRef
Zhang, Y.[Yu],
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Multi-task warped Gaussian process for personalized age estimation,
CVPR10(2622-2629).
IEEE DOI
1006
BibRef
Ben, S.[Shenglan],
Chen, J.S.[Jian-Sheng],
Su, G.D.[Guang-Da],
Piecewise linear aging function for facial age estimation,
ICIP09(2753-2756).
IEEE DOI
0911
BibRef
Pan, L.T.[Le-Ting],
Human Age Estimation by Metric Learning for Regression Problems,
EMMCVPR09(455-465).
Springer DOI
0908
BibRef
Long, Y.J.[Yang-Jing],
Human Age Estimation by Metric Learning for Regression Problems,
CAIP09(74-82).
Springer DOI
0909
BibRef
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Hasegawa-Johnson, M.[Mark],
Huang, T.[Thomas],
Face age estimation using patch-based hidden Markov model supervectors,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Chen, C.X.[Cui-Xian],
Yang, W.K.[Wan-Kou],
Wang, Y.S.[Yi-Shi],
Ricanek, K.[Karl],
Luu, K.[Khoa],
Facial feature fusion and model selection for age estimation,
FG11(200-205).
IEEE DOI
1103
BibRef
Chen, C.X.[Cui-Xian],
Chang, Y.[Yaw],
Ricanek, K.[Karl],
Wang, Y.S.[Yi-Shi],
Face age estimation using model selection,
AMFG10(93-99).
IEEE DOI
1006
BibRef
Ricanek, K.,
Wang, Y.S.[Yi-Shi],
Chen, C.X.[Cui-Xian],
Simmons, S.J.,
Generalized multi-ethnic face age-estimation,
BTAS09(1-6).
IEEE DOI
0909
BibRef
Luu, K.[Khoa],
Bui, T.D.[Tien Dai],
Suen, C.Y.[Ching Y.],
Ricanek, K.[Karl],
Spectral Regression based age determination,
Biometrics10(103-107).
IEEE DOI
1006
BibRef
Earlier: A1, A4, A2, A3:
Age estimation using Active Appearance Models and Support Vector
Machine regression,
BTAS09(1-5).
IEEE DOI
0909
BibRef
Hayashi, J.,
Yasumoto, M.,
Ito, H.,
Koshimizu, H.,
Age and gender estimation based on wrinkle texture and color of facial
images,
ICPR02(I: 405-408).
IEEE DOI
0211
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- Kinship Analysis, Relationships .