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diff --git a/site/datasets/unknown/morph.json b/site/datasets/unknown/morph.json index f0c2f3c0..7944ef65 100644 --- a/site/datasets/unknown/morph.json +++ b/site/datasets/unknown/morph.json @@ -1 +1 @@ -{"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "citations": [{"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"]}, {"id": "f1748303cc02424704b3a35595610890229567f9", "title": "Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions", "year": "2012", "pdf": []}, {"id": "7b1ca9a74ab7fbfc32a69e8313ca2f2d78ac6c35", "title": "Comparison of Three Different CNN Architectures for Age Classification", "year": "2017", "pdf": []}, {"id": "dca2bb023b076de1ccd0c6b8d71faeb3fccb3978", "title": "Joint Estimation of 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["https://arxiv.org/pdf/1706.00906.pdf"]}, {"id": "363e5a0e4cd857e98de72a726ad6f80cea9c50ab", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"]}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"]}, {"id": "1b29f23f3517ac5bbe9bf5e80cda741b61bb9b12", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "year": "2017", "pdf": ["http://eprints.bbk.ac.uk/18811/1/18811.pdf"]}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"]}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"]}, {"id": "2bbbbe1873ad2800954058c749a00f30fe61ab17", "title": "Face Verification across Ages Using Self Organizing Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2bbb/be1873ad2800954058c749a00f30fe61ab17.pdf"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": 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"http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"]}, {"id": "2b632f090c09435d089ff76220fd31fd314838ae", "title": "Early Adaptation of Deep Priors in Age Prediction from Face Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Hajibabaei_Early_Adaptation_of_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Hajibabaei-ICCVW-2017.pdf"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": []}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "pdf": ["http://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf"]}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"]}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"]}, {"id": "fffefc1fb840da63e17428fd5de6e79feb726894", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"]}, {"id": "a022eff5470c3446aca683eae9c18319fd2406d5", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a022/eff5470c3446aca683eae9c18319fd2406d5.pdf"]}, {"id": "67d7022462c98e6c5de9f2254b46f0b8d3b92089", "title": "Facial image database mining and classification analysis using different distance metrics", "year": "2017", "pdf": []}, {"id": "0e4baf74dfccef7a99c6954bb0968a2e35315c1f", "title": "Gender identification from face images", "year": "2012", "pdf": []}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"]}, {"id": "90ae02da16b750a9fd43f8a38440f848309c2fe0", "title": "A review of facial gender recognition", "year": "2015", "pdf": []}, {"id": "b2749caec0094e186d3ee850151c899b8508f47a", "title": "AVIUE \u2014 Artificial vision to improve the user experience", "year": "2013", "pdf": []}, {"id": "b7894c1f805ffd90ab4ab06002c70de68d6982ab", "title": "A comprehensive age estimation on face images using hybrid filter based feature extraction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e87/06fab62a5716c30a245e5963f51793e1d0ed.pdf"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"]}, {"id": "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "title": "Selecting discriminative CLBP patterns for age estimation", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_9.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modeling of facial aging and kinship: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"]}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/37eb/666b7eb225ffdafc6f318639bea7f0ba9a24.pdf"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"]}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": []}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"]}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"]}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"]}, {"id": "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "title": "A new facial age estimation method using centrally overlapped block based local texture features", "year": "2017", "pdf": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"]}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"]}, {"id": "d79530e1745b33f3b771d0b38d090b40afc04191", "title": "A new method to estimate ages of facial image for large database", "year": "2015", "pdf": []}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": []}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": []}, {"id": "1b27ca161d2e1d4dd7d22b1247acee5c53db5104", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"]}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", 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"29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"]}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"]}, {"id": "3af28e9e9e883c235b6418a68bda519b08f9ae26", "title": "Implications of Adult Facial Aging on Biometrics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3af2/8e9e9e883c235b6418a68bda519b08f9ae26.pdf"]}, {"id": "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "title": "Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Choietal_FaceTrackingRecognitionDistancePTZCameraSystem.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Parketal_FaceTrackingRecognitionDistance_CoaxialConcentricPTZCameraSystem_TIFS13.pdf"]}, {"id": "25337690fed69033ef1ce6944e5b78c4f06ffb81", "title": "STRATEGIC ENGAGEMENT REGULATION: AN INTEGRATION OF SELF-ENHANCEMENT AND ENGAGEMENT", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2533/7690fed69033ef1ce6944e5b78c4f06ffb81.pdf"]}, {"id": "09111da0aedb231c8484601444296c50ca0b5388", "title": "Joint estimation of age, gender and ethnicity: CCA vs. PLS", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553737.pdf"]}, {"id": "893239f17dc2d17183410d8a98b0440d98fa2679", "title": "UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b1/6481d34838cc92593f5f311badbf7f18ed5a.pdf"]}, {"id": "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "title": "Generic and attribute-specific deep representations for maritime vessels", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0033-4?site=ipsjcva.springeropen.com"]}, {"id": "11b904c9180686574e6047bbd9868c354ca46cb4", "title": "Mapping Dynamic Bayesian Networks to $\\alpha$-Shapes: Application to Human Faces Identification Across Ages", "year": "2012", "pdf": []}, {"id": "87b607b8d4858a16731144d17f457a54e488f15d", "title": "Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Karl_Ricanek/publication/220931837_Cross-Age_Face_Recognition_on_a_Very_Large_Database_The_Performance_versus_Age_Intervals_and_Improvement_Using_Soft_Biometric_Traits/links/02bfe50d46b635ff13000000.pdf"]}, {"id": "be7444c891caf295d162233bdae0e1c79791d566", "title": "Face Recognition Performance under Aging", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/DebBestRowdenJain_FaceRecognitionPerformanceUnderAging_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Deb_Face_Recognition_Performance_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/CVPR2017_Lacey_v2.pdf"]}, {"id": "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "title": "Can We Minimize the Influence Due to Gender and Race in Age Estimation?", "year": "2013", "pdf": []}, {"id": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf"]}, {"id": "197eaa59a003a4c7cc77c1abe0f99d942f716942", "title": "Web image mining towards universal age estimator", "year": "2009", "pdf": []}, {"id": "892400017e5c93611dc8361e7749135520d66f25", "title": "A comparative study of age-invariant face recognition with different feature representations", "year": "2010", "pdf": []}, {"id": "28aa89b2c827e5dd65969a5930a0520fdd4a3dc7", "title": "CHARACTERIZATION AND CLASSIFICATION OF FACES ACROSS AGE PROGRESSION by Narayanan Ramanathan", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/28aa/89b2c827e5dd65969a5930a0520fdd4a3dc7.pdf"]}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": []}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": []}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": []}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": []}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": []}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"]}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Rothe_DEX_Deep_EXpectation_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01229.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/105213/eth-48173-01.pdf"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"]}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"]}, {"id": "b1bb517bd87a1212174033fc786b2237844b04e6", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"]}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"]}, {"id": "b1891010a0722117c57e98809e1f2b26cd8e9ee3", "title": "Analyzing the cross-generalization ability of a hybrid genetic & evolutionary application for multibiometric feature weighting and selection", "year": "2012", "pdf": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/05/APPA-REAL-Slides.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01362.pdf"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": []}, {"id": "363e5a0e4cd857e98de72a726ad6f80cea9c50ab", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"]}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"]}, {"id": "1b29f23f3517ac5bbe9bf5e80cda741b61bb9b12", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "year": "2017", "pdf": ["http://eprints.bbk.ac.uk/18811/1/18811.pdf"]}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"]}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "7c8adb2fa156b119a1f576652c39fb06e4e19675", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": []}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"]}, {"id": "2b632f090c09435d089ff76220fd31fd314838ae", "title": "Early Adaptation of Deep Priors in Age Prediction from Face Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Hajibabaei_Early_Adaptation_of_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Hajibabaei-ICCVW-2017.pdf"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": []}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "pdf": ["http://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf"]}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"]}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": "2016", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Rothe-IJCV-2016.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/156130/eth-50296-01.pdf"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"]}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"]}, {"id": "a022eff5470c3446aca683eae9c18319fd2406d5", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a022/eff5470c3446aca683eae9c18319fd2406d5.pdf"]}, {"id": "0e4baf74dfccef7a99c6954bb0968a2e35315c1f", "title": "Gender identification from face images", "year": "2012", "pdf": []}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"]}, {"id": "b2749caec0094e186d3ee850151c899b8508f47a", "title": "AVIUE \u2014 Artificial vision to improve the user experience", "year": "2013", "pdf": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"]}, {"id": "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "title": "Selecting discriminative CLBP patterns for age estimation", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_9.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modeling of facial aging and kinship: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"]}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"]}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": []}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"]}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"]}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"]}, {"id": "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "title": "A new facial age estimation method using centrally overlapped block based local texture features", "year": "2017", "pdf": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"]}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"]}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": []}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": []}, {"id": "1b27ca161d2e1d4dd7d22b1247acee5c53db5104", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"]}, {"id": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"]}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": []}, {"id": "0fc5c6f06e40014a56f492172f44c073d269e95c", "title": "Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection", "year": "2013", "pdf": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": []}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "d4288daef6519f6852f59ac6b85e21b8910f2207", "title": "Recurrent Face Aging with Hierarchical AutoRegressive Memory.", "year": "2018", "pdf": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapers/BMIface2013.pdf", "http://www.csee.wvu.edu/~gdguo/myPapers/BMIface2013.pdf"]}, {"id": "744d23991a2c48d146781405e299e9b3cc14b731", "title": "Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection", "year": "2016", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/LPS2016.pdf"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"]}, {"id": "e0423788eb91772de9d708a17799179cf3230d63", "title": "Age Classification Using an Optimized CNN Architecture", "year": "2017", "pdf": []}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"]}, {"id": "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "title": "Review on the effects of age, gender, and race demographics on automatic face recognition", "year": "2017", "pdf": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"]}, {"id": "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "title": "An Image Mining System for Gender Classification & Age Prediction Based on Facial Features", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df67/4dc0fc813c2a6d539e892bfc74f9a761fbc8.pdf"]}, {"id": "b22f5f0929704752a16d0f65f00a5161a059d8e3", "title": "On soft biometrics", "year": "2015", "pdf": ["http://vbn.aau.dk/files/219488771/on_softbiometrics_preprint.pdf"]}, {"id": "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "title": "Age Regression Based on Local Image Features", "year": "2010", "pdf": []}, {"id": "0b4c4ea4a133b9eab46b217e22bda4d9d13559e6", "title": "MORF: Multi-Objective Random Forests for face characteristic estimation", "year": "2015", "pdf": ["http://www.micc.unifi.it/publications/2015/DKBD15/PID3774829.pdf", "http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_morph_random_forests.pdf"]}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"]}, {"id": "fe866887d3c26ee72590c440ed86ffc80e980293", "title": "Understanding Human Aging Patterns from a Machine Perspective", "year": "2018", "pdf": []}, {"id": "1c93b48abdd3ef1021599095a1a5ab5e0e020dd5", "title": "A Compositional and Dynamic Model for Face Aging", "year": "2010", "pdf": ["http://www.jdl.ac.cn/doc/2010/TPAMI10-ACompositional%20and%20Dynamic%20Model%20for%20Face%20Aging.pdf", "http://www.stat.ucla.edu/~sczhu/papers/FaceAging_PAMI.pdf", "http://www.stat.ucla.edu/~sczhu/papers/PAMI_FaceAging.pdf", "http://www.stat.ucla.edu/~sczhu/papers/prints/Face_Aging.pdf"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": 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["https://pdfs.semanticscholar.org/aca2/73a9350b10b6e2ef84f0e3a327255207d0f5.pdf"]}, {"id": "e16efd2ae73a325b7571a456618bfa682b51aef8", "title": "Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/93f8/4b8200aeba68af767c4f143233829e8ce6d9.pdf"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"]}, {"id": "3c6542295cf7fe362d7d629ac10670bf30cdabce", "title": "Hierarchical Aggregation Based Deep Aging Feature for Age Prediction", "year": "2015", "pdf": []}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": []}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2017.pdf", "http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-NC-2018.pdf"]}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"]}, {"id": "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "title": "HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/69ff/40fd5ce7c3e6db95a2b63d763edd8db3a102.pdf"]}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"]}, {"id": "b5f9306c3207ac12ac761e7d028c78b3009a219c", "title": "Age estimation based on extended non-negative matrix factorization", "year": "2011", "pdf": []}, {"id": "22532c6e38ded690dc1420f05c18e23f6f24804d", "title": "Chapter 5 Genetic & Evolutionary Biometrics", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2253/2c6e38ded690dc1420f05c18e23f6f24804d.pdf"]}, {"id": "84fd7c00243dc4f0df8ab1a8c497313ca4f8bd7b", "title": "Perceived Age Estimation from Face Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/84fd/7c00243dc4f0df8ab1a8c497313ca4f8bd7b.pdf"]}, {"id": "68c17aa1ecbff0787709be74d1d98d9efd78f410", "title": "GENDER CLASSIFICATION FROM FACE IMAGES USING MUTUAL INFORMATION AND FEATURE FUSION", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/68c1/7aa1ecbff0787709be74d1d98d9efd78f410.pdf"]}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": []}, {"id": "ed32df6b122b15a52238777c9993ed31107b4bed", "title": "Age face simulation using aging functions on global and local features with residual images", "year": "2017", "pdf": []}, {"id": "8411fe1142935a86b819f065cd1f879f16e77401", "title": "Facial Recognition using Modified Local Binary Pattern and Random Forest", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8411/fe1142935a86b819f065cd1f879f16e77401.pdf"]}, {"id": "48cfc5789c246c6ad88ff841701204fc9d6577ed", "title": "Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48cf/c5789c246c6ad88ff841701204fc9d6577ed.pdf"]}, {"id": "fa23122db319440fb5a7253e19709f992b4571b9", "title": "Human Age Estimation via Geometric and Textural Features", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa23/122db319440fb5a7253e19709f992b4571b9.pdf"]}, {"id": "4919663c62174a9bc0cc7f60da8f96974b397ad2", "title": "Human age estimation using enhanced bio-inspired features (EBIF)", "year": "2010", "pdf": ["http://research.microsoft.com/pubs/131914/EBIF_5-2-2010_v_5.pdf", "http://www.researchgate.net/profile/Mohamed_Eldib/publication/215457946_Human_age_estimation_using_enhanced_bio-inspired_features_(EBIF)/links/09e41509cf982dacdf000000.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/EBIF_5-2-2010_v_5.pdf"]}, {"id": "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "title": "Analysing Facial Regions for Face Recognition Using Forensic Protocols", "year": "2013", "pdf": ["https://repositorio.uam.es/xmlui/bitstream/handle/10486/663763/analysing_tome_CCIS_2013_ps.pdf?sequence=3"]}, {"id": "47a003e6bbfc5bf04a099ca53c67ddfdbea71315", "title": "Q-stack aging model for face verification", "year": "2009", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569192408.pdf"]}, {"id": "44fb4dcf88eb482e2ab79fd4540caf941613b970", "title": "Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation", "year": "2010", "pdf": ["http://www.ms.k.u-tokyo.ac.jp/2010/ICPR2010a.pdf", 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