diff options
Diffstat (limited to 'site/datasets/unknown/adience.json')
| -rw-r--r-- | site/datasets/unknown/adience.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/adience.json b/site/datasets/unknown/adience.json index f3d667ef..9f84c8a1 100644 --- a/site/datasets/unknown/adience.json +++ b/site/datasets/unknown/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"paper_id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "key": "adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": 2014, "pdf": "http://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf", "address": "", "name": "Adience"}, "citations": [{"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": "http://doi.org/10.1007/s10462-018-9661-z"}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11"}, {"id": "be72b20247fb4dc4072d962ced77ed89aa40372f", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.07718.pdf"}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": 2017, "pdf": "https://doi.org/10.1016/j.patcog.2016.08.031"}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"}, {"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": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": 2018, "pdf": "http://pdfs.semanticscholar.org/7cee/802e083c5e1731ee50e731f23c9b12da7d36.pdf"}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119"}, {"id": "30457461333c8797457c18636732327e6dde1d04", "title": "Gender classification system for half face images using multi manifold discriminant analysis", "year": 2017, "pdf": null}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "year": 2015, "pdf": "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_104_ext.pdf"}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "year": "2018", "pdf": "https://arxiv.org/pdf/1805.02901.pdf"}, {"id": "cb522b2e16b11dde48203bef97131ddca3cdaebd", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"}, {"id": "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "title": "Deep learning for fusing multi-sensor person-borne IED data", "year": 2017, "pdf": null}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "year": "2018", "pdf": "http://dl.acm.org/citation.cfm?id=3236082"}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "year": 2016, "pdf": "http://pdfs.semanticscholar.org/c8ad/be00b5661ab9b3726d01c6842c0d72c8d997.pdf"}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": 2015, "pdf": "http://www.openu.ac.il/home/hassner/projects/cnn_emotions/LeviHassnerICMI15.pdf"}, {"id": "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "title": "Feature extraction for facial age estimation: A survey", "year": 2016, "pdf": null}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": "https://arxiv.org/pdf/1810.06221.pdf"}, {"id": "b972683d702a65d3ee7a25bc931a5890d1072b6b", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "year": 2018, "pdf": "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2669035"}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": "https://arxiv.org/pdf/1705.00393.pdf"}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": 2017, "pdf": "http://export.arxiv.org/pdf/1710.02985"}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "year": "2018", "pdf": "http://doi.org/10.1016/j.neucom.2017.08.062"}, {"id": "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": "https://arxiv.org/pdf/1706.00906.pdf"}, {"id": "65d705bbcc10f42683503b3599327c816265d951", "title": "Articulated Motion and Deformable Objects", "year": "2014", "pdf": "http://doi.org/10.1007/978-3-319-94544-6"}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "year": 2017, "pdf": null}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/f77c/9bf5beec7c975584e8087aae8d679664a1eb.pdf"}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "year": 2017, "pdf": "https://doi.org/10.1016/j.eswa.2017.05.037"}, {"id": "e16831b6818a3ffec0785bac21911062ab04370e", "title": "HOG-assisted deep feature learning for pedestrian gender recognition", "year": "2018", "pdf": "http://doi.org/10.1016/j.jfranklin.2017.09.003"}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "year": 2016, "pdf": "http://pdfs.semanticscholar.org/af6e/351d58dba0962d6eb1baf4c9a776eb73533f.pdf"}, {"id": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984"}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": 2016, "pdf": null}, {"id": "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "title": "Human injected by Botox age estimation based on active shape models, speed up robust features, and support vector machine", "year": 2016, "pdf": null}, {"id": "1fc88451a83f088ce028a0f715b9f9b600f4bd1c", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation.", "year": "2018", "pdf": "https://www.ncbi.nlm.nih.gov/pubmed/29993966"}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389"}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for “in the wild” facial images using convolutional neural networks", "year": 2017, "pdf": null}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": 2017, "pdf": "https://doi.org/10.1109/WACVW.2017.9"}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "year": 2016, "pdf": "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96"}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401"}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "year": 2017, "pdf": null}, {"id": "43836d69f00275ba2f3d135f0ca9cf88d1209a87", "title": "Effective hyperparameter optimization using Nelder-Mead method in deep learning", "year": 2017, "pdf": "https://doi.org/10.1186/s41074-017-0030-7"}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583"}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": 2018, "pdf": "http://pdfs.semanticscholar.org/0435/a34e93b8dda459de49b499dd71dbb478dc18.pdf"}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.08108.pdf"}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/cd7f/26c430363f90e530824446b3a4c85cfb94e5.pdf"}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118"}, {"id": "5a4ec5c79f3699ba037a5f06d8ad309fb4ee682c", "title": "Automatic age and gender classification using supervised appearance model", "year": "2016", "pdf": "https://pdfs.semanticscholar.org/2e36/a706bbec0f1adb7484e5d7416c3e612f43a1.pdf"}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": 2017, "pdf": "https://doi.org/10.1109/ICASSP.2017.7952703"}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "year": 2018, "pdf": null}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "year": 2016, "pdf": null}, {"id": "4562ea84ebfc8d9864e943ed9e44d35997bbdf43", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19"}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": 2017, "pdf": null}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": "http://doi.org/10.1049/iet-bmt.2016.0169"}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": "https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": 2016, "pdf": "https://doi.org/10.1109/BIOSIG.2016.7736925"}, {"id": "f4373f5631329f77d85182ec2df6730cbd4686a9", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/f437/3f5631329f77d85182ec2df6730cbd4686a9.pdf"}, {"id": "1b29f23f3517ac5bbe9bf5e80cda741b61bb9b12", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "year": 2017, "pdf": "https://doi.org/10.1016/j.patcog.2017.01.007"}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "year": 2017, "pdf": null}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "year": 2016, "pdf": null}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "year": "2018", "pdf": "https://arxiv.org/pdf/1805.11191.pdf"}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": 2016, "pdf": "http://pdfs.semanticscholar.org/0a32/5d70cc381b136a8f4e471b406cda6d27668c.pdf"}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": 2016, "pdf": "https://doi.org/10.1007/s11263-016-0940-3"}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": 2015, "pdf": "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"}, {"id": "f0ba5c89094b15469f95fd2a05a46b68b8faf1ca", "title": "Recognizing images across age progressions: A comprehensive review", "year": 2015, "pdf": null}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475"}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.07320.pdf"}, {"id": "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "title": "Women Also Snowboard: Overcoming Bias in Captioning Models", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.00517.pdf"}, {"id": "732e8d8f5717f8802426e1b9debc18a8361c1782", "title": "Unimodal Probability Distributions for Deep Ordinal Classification", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/732e/8d8f5717f8802426e1b9debc18a8361c1782.pdf"}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "year": 2016, "pdf": "https://doi.org/10.15439/2016F472"}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "year": "2018", "pdf": "https://arxiv.org/pdf/1805.04756.pdf"}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "year": 2018, "pdf": null}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "year": 2017, "pdf": null}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "year": 2015, "pdf": "http://iplab.dmi.unict.it/sites/default/files/_11.pdf"}, {"id": "00a38ebce124879738b04ffc1536018e75399193", "title": "Convolutional neural network for age classification from smart-phone based ocular images", "year": 2017, "pdf": "https://doi.org/10.1109/BTAS.2017.8272766"}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modelling of Facial Aging and Kinship: A Survey", "year": 2018, "pdf": "http://pdfs.semanticscholar.org/e7b6/887cd06d0c1aa4902335f7893d7640aef823.pdf"}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "year": 2016, "pdf": "https://doi.org/10.1016/j.neucom.2016.08.055"}, {"id": "c254b4c0f6d5a5a45680eb3742907ec93c3a222b", "title": "A Fusion-based Gender Recognition Method Using Facial Images", "year": "2018", "pdf": "https://arxiv.org/pdf/1711.06451.pdf"}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "year": 2017, "pdf": "https://doi.org/10.1007/978-3-319-68063-7_8"}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "year": 2015, "pdf": "https://doi.org/10.1109/ICACCI.2015.7275951"}, {"id": "6c0ad77af4c0850bd01bb118e175ecc313476f27", "title": "Extended multi-spectral face recognition across two different age groups: an empirical study", "year": 2016, "pdf": "http://doi.acm.org/10.1145/3009977.3010026"}, {"id": "cfdc632adcb799dba14af6a8339ca761725abf0a", "title": "Probabilistic Formulations of Regression with Mixed Guidance", "year": "2016", "pdf": "https://arxiv.org/pdf/1804.01575.pdf"}, {"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "year": 2016, "pdf": "http://doi.ieeecomputersociety.org/10.1109/ASONAM.2016.7752438"}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": 2017, "pdf": "https://doi.org/10.1109/WACVW.2017.8"}, {"id": "63a4105adbe182e67d8fd324de5c84a6df444294", "title": "Gender classification by LPQ features from intensity and Monogenic images", "year": 2017, "pdf": null}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": 2016, "pdf": "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021"}, {"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": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": 2017, "pdf": "https://doi.org/10.1016/j.patcog.2017.06.028"}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": 2017, "pdf": "https://doi.org/10.1109/ICIP.2017.8296549"}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": null}, {"id": "ab3fcd9d5fbd2d0ad48fba4005899cf13e08d07e", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644"}]}
\ No newline at end of file +{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"paper_id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "key": "adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": 2014, "pdf": "http://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf", "address": "", "name": "Adience"}, "citations": [{"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": "http://doi.org/10.1007/s10462-018-9661-z"}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11"}, {"id": "be72b20247fb4dc4072d962ced77ed89aa40372f", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.07718.pdf"}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": 2017, "pdf": "https://doi.org/10.1016/j.patcog.2016.08.031"}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "year": 2018, "pdf": "https://doi.org/10.1109/TIFS.2017.2746062"}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"}, {"id": "984edce0b961418d81203ec477b9bfa5a8197ba3", "title": "Customer and target individual face analysis for retail analytics", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369732"}, {"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": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": 2018, "pdf": "http://pdfs.semanticscholar.org/7cee/802e083c5e1731ee50e731f23c9b12da7d36.pdf"}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119"}, {"id": "30457461333c8797457c18636732327e6dde1d04", "title": "Gender classification system for half face images using multi manifold discriminant analysis", "year": 2017, "pdf": null}, {"id": "29f298dd5f806c99951cb434834bc8dcc765df18", "title": "Computationally efficient template-based face recognition", "year": 2016, "pdf": "https://doi.org/10.1109/ICPR.2016.7899837"}, {"id": "0dccc881cb9b474186a01fd60eb3a3e061fa6546", "title": "Effective face frontalization in unconstrained images", "year": 2015, "pdf": "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_104_ext.pdf"}, {"id": "c95d8b9bddd76b8c83c8745747e8a33feedf3941", "title": "Image Ordinal Classification and Understanding: Grid Dropout with Masking Label", "year": "2018", "pdf": "https://arxiv.org/pdf/1805.02901.pdf"}, {"id": "cb522b2e16b11dde48203bef97131ddca3cdaebd", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"}, {"id": "b07f9dfc904d317fa71c1efa9b466460abc0bee5", "title": "Deep learning for fusing multi-sensor person-borne IED data", "year": 2017, "pdf": null}, {"id": "07a1e6d26028b28185b7a3eee86752c240a24261", "title": "MODE: automated neural network model debugging via state differential analysis and input selection", "year": "2018", "pdf": "http://dl.acm.org/citation.cfm?id=3236082"}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "year": 2016, "pdf": "http://pdfs.semanticscholar.org/c8ad/be00b5661ab9b3726d01c6842c0d72c8d997.pdf"}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": 2015, "pdf": "http://www.openu.ac.il/home/hassner/projects/cnn_emotions/LeviHassnerICMI15.pdf"}, {"id": "841c99e887eb262e397fdf5b0490a2ae6c82d6b5", "title": "Feature extraction for facial age estimation: A survey", "year": 2016, "pdf": null}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": "https://arxiv.org/pdf/1810.06221.pdf"}, {"id": "b972683d702a65d3ee7a25bc931a5890d1072b6b", "title": "Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers", "year": 2018, "pdf": "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2669035"}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "year": 2017, "pdf": "https://doi.org/10.1109/ICIP.2017.8296595"}, {"id": "dc2f16f967eac710cb9b7553093e9c977e5b761d", "title": "Learning a lightweight deep convolutional network for joint age and gender recognition", "year": 2016, "pdf": "https://doi.org/10.1109/ICPR.2016.7900141"}, {"id": "28d4e027c7e90b51b7d8908fce68128d1964668a", "title": "Level Playing Field for Million Scale Face Recognition", "year": "2017", "pdf": "https://arxiv.org/pdf/1705.00393.pdf"}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": 2017, "pdf": "http://export.arxiv.org/pdf/1710.02985"}, {"id": "4f37f71517420c93c6841beb33ca0926354fa11d", "title": "A hybrid deep learning CNN-ELM for age and gender classification", "year": "2018", "pdf": "http://doi.org/10.1016/j.neucom.2017.08.062"}, {"id": "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": "https://arxiv.org/pdf/1706.00906.pdf"}, {"id": "65d705bbcc10f42683503b3599327c816265d951", "title": "Articulated Motion and Deformable Objects", "year": "2014", "pdf": "http://doi.org/10.1007/978-3-319-94544-6"}, {"id": "7587a09d924cab41822a07cd1a988068b74baabb", "title": "Image scoring: Patch based CNN model for small or medium dataset", "year": 2017, "pdf": null}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/f77c/9bf5beec7c975584e8087aae8d679664a1eb.pdf"}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "year": "2016", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154"}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "year": 2017, "pdf": "https://doi.org/10.1016/j.eswa.2017.05.037"}, {"id": "9d4692e243e25eb465a0480376beb60a5d2f0f13", "title": "Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "year": 2016, "pdf": "https://doi.org/10.1109/ICCE.2016.7430617"}, {"id": "a713a01971e73d0c3118d0409dc7699a24f521d6", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "year": 2017, "pdf": "https://doi.org/10.1109/SSCI.2017.8285381"}, {"id": "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "title": "Age and gender estimation using deep residual learning network", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369763"}, {"id": "e16831b6818a3ffec0785bac21911062ab04370e", "title": "HOG-assisted deep feature learning for pedestrian gender recognition", "year": "2018", "pdf": "http://doi.org/10.1016/j.jfranklin.2017.09.003"}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "year": 2016, "pdf": "http://pdfs.semanticscholar.org/af6e/351d58dba0962d6eb1baf4c9a776eb73533f.pdf"}, {"id": "58df849378fbcfb6b1a8ebddfbe4caa450226b9d", "title": "Head pose estimation using learned discretization", "year": 2017, "pdf": "https://doi.org/10.1109/ICIP.2017.8296770"}, {"id": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984"}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": 2016, "pdf": null}, {"id": "e8b56ed34ece9b1739fff0df6af3b65390c468d3", "title": "Human injected by Botox age estimation based on active shape models, speed up robust features, and support vector machine", "year": 2016, "pdf": null}, {"id": "1fc88451a83f088ce028a0f715b9f9b600f4bd1c", "title": "Facial Attribute Recognition by Recurrent Learning With Visual Fixation.", "year": "2018", "pdf": "https://www.ncbi.nlm.nih.gov/pubmed/29993966"}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389"}, {"id": "7aa32e0639e0750e9eee3ce16e51e9f94241ae88", "title": "Automatic gender recognition for “in the wild” facial images using convolutional neural networks", "year": 2017, "pdf": null}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "year": 2017, "pdf": "https://doi.org/10.1109/ICIP.2017.8296552"}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": 2017, "pdf": "https://doi.org/10.1109/WACVW.2017.9"}, {"id": "6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81", "title": "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "year": 2016, "pdf": "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.96"}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406401"}, {"id": "bc749f0e81eafe9e32d56336750782f45d82609d", "title": "Combination of Texture and Geometric Features for Age Estimation in Face Images", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/bc74/9f0e81eafe9e32d56336750782f45d82609d.pdf"}, {"id": "ecfb93de88394a244896bfe6ee7bf39fb250b820", "title": "Gender recognition from face images with deep learning", "year": 2017, "pdf": null}, {"id": "43836d69f00275ba2f3d135f0ca9cf88d1209a87", "title": "Effective hyperparameter optimization using Nelder-Mead method in deep learning", "year": 2017, "pdf": "https://doi.org/10.1186/s41074-017-0030-7"}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583"}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": 2018, "pdf": "http://pdfs.semanticscholar.org/0435/a34e93b8dda459de49b499dd71dbb478dc18.pdf"}, {"id": "7173871866fc7e555e9123d1d7133d20577054e8", "title": "Simultaneous Adversarial Training - Learn from Others Mistakes", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.08108.pdf"}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/cd7f/26c430363f90e530824446b3a4c85cfb94e5.pdf"}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "year": "2017", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648"}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118"}, {"id": "5a4ec5c79f3699ba037a5f06d8ad309fb4ee682c", "title": "Automatic age and gender classification using supervised appearance model", "year": "2016", "pdf": "https://pdfs.semanticscholar.org/2e36/a706bbec0f1adb7484e5d7416c3e612f43a1.pdf"}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": 2017, "pdf": "https://doi.org/10.1109/ICASSP.2017.7952703"}, {"id": "0deea943ac4dc1be822c02f97d0c6c97e201ba8d", "title": "Age category estimation using matching convolutional neural network", "year": 2018, "pdf": null}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"}, {"id": "d38b32d91d56b01c77ef4dd7d625ce5217c6950b", "title": "Unconstrained gender classification by multi-resolution LPQ and SIFT", "year": 2016, "pdf": null}, {"id": "4562ea84ebfc8d9864e943ed9e44d35997bbdf43", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": 2017, "pdf": "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19"}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": 2017, "pdf": null}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": "http://doi.org/10.1049/iet-bmt.2016.0169"}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": "https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": 2016, "pdf": "https://doi.org/10.1109/BIOSIG.2016.7736925"}, {"id": "f4373f5631329f77d85182ec2df6730cbd4686a9", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/f437/3f5631329f77d85182ec2df6730cbd4686a9.pdf"}, {"id": "017e94ad51c9be864b98c9b75582753ce6ee134f", "title": "Rapid one-shot acquisition of dynamic VR avatars", "year": "2017", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7892240"}, {"id": "1b29f23f3517ac5bbe9bf5e80cda741b61bb9b12", "title": "D2C: Deep cumulatively and comparatively learning for human age estimation", "year": 2017, "pdf": "https://doi.org/10.1016/j.patcog.2017.01.007"}, {"id": "2b60fe300735ea7c63f91c1121e89ba66040b833", "title": "A study on face recognition techniques with age and gender classification", "year": 2017, "pdf": null}, {"id": "3a05415356bd574cad1a9f1be21214e428bbc81b", "title": "Multinomial Naive Bayes for real-time gender recognition", "year": 2016, "pdf": null}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "year": 2017, "pdf": "https://doi.org/10.1109/GlobalSIP.2017.8309138"}, {"id": "d278e020be85a1ccd90aa366b70c43884dd3f798", "title": "Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "year": "2018", "pdf": "https://arxiv.org/pdf/1805.11191.pdf"}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": 2016, "pdf": "http://pdfs.semanticscholar.org/0a32/5d70cc381b136a8f4e471b406cda6d27668c.pdf"}, {"id": "24286ef164f0e12c3e9590ec7f636871ba253026", "title": "Age and gender classification using wide convolutional neural network and Gabor filter", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8369721"}, {"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "title": "Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "year": 2016, "pdf": "https://doi.org/10.1007/s11263-016-0940-3"}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": "https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"}, {"id": "c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6", "title": "Age and gender classification using local appearance descriptors from facial components", "year": 2017, "pdf": "https://doi.org/10.1109/BTAS.2017.8272773"}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8329236"}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": 2015, "pdf": "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8239663"}, {"id": "f0ba5c89094b15469f95fd2a05a46b68b8faf1ca", "title": "Recognizing images across age progressions: A comprehensive review", "year": 2015, "pdf": null}, {"id": "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "title": "Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning", "year": 2016, "pdf": "http://pdfs.semanticscholar.org/5fb5/d9389e2a2a4302c81bcfc068a4c8d4efe70c.pdf"}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8267475"}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.07320.pdf"}, {"id": "5c09d905f6d4f861624821bf9dfe2aae29137e9c", "title": "Women Also Snowboard: Overcoming Bias in Captioning Models", "year": "2018", "pdf": "https://arxiv.org/pdf/1807.00517.pdf"}, {"id": "9f3c9e41f46df9c94d714b1f080dafad6b4de1de", "title": "On the detection of images containing child-pornographic material", "year": 2017, "pdf": "https://doi.org/10.1109/ICT.2017.7998260"}, {"id": "732e8d8f5717f8802426e1b9debc18a8361c1782", "title": "Unimodal Probability Distributions for Deep Ordinal Classification", "year": 2017, "pdf": "http://pdfs.semanticscholar.org/732e/8d8f5717f8802426e1b9debc18a8361c1782.pdf"}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "year": 2016, "pdf": "https://doi.org/10.15439/2016F472"}, {"id": "0cfca73806f443188632266513bac6aaf6923fa8", "title": "Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo", "year": "2018", "pdf": "https://arxiv.org/pdf/1805.04756.pdf"}, {"id": "9215d36c501d6ee57d74c1eeb1475efd800d92d3", "title": "An optimization framework of video advertising: using deep learning algorithm based on global image information", "year": 2018, "pdf": null}, {"id": "c5fff7adc5084d69390918daf09e832ec191144b", "title": "Deep learning application based on embedded GPU", "year": 2017, "pdf": null}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "year": 2015, "pdf": "http://iplab.dmi.unict.it/sites/default/files/_11.pdf"}, {"id": "00a38ebce124879738b04ffc1536018e75399193", "title": "Convolutional neural network for age classification from smart-phone based ocular images", "year": 2017, "pdf": "https://doi.org/10.1109/BTAS.2017.8272766"}, {"id": "dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935", "title": "Age classification with deep learning face representation", "year": "2017", "pdf": "http://doi.org/10.1007/s11042-017-4646-5"}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modelling of Facial Aging and Kinship: A Survey", "year": 2018, "pdf": "http://pdfs.semanticscholar.org/e7b6/887cd06d0c1aa4902335f7893d7640aef823.pdf"}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "year": 2016, "pdf": "https://doi.org/10.1016/j.neucom.2016.08.055"}, {"id": "c254b4c0f6d5a5a45680eb3742907ec93c3a222b", "title": "A Fusion-based Gender Recognition Method Using Facial Images", "year": "2018", "pdf": "https://arxiv.org/pdf/1711.06451.pdf"}, {"id": "17de5a9ce09f4834629cd76b8526071a956c9c6d", "title": "Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "year": 2017, "pdf": "https://doi.org/10.1007/978-3-319-68063-7_8"}, {"id": "bc6a7390135bf127b93b90a21b1fdebbfb56ad30", "title": "Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer", "year": 2018, "pdf": "https://doi.org/10.1109/TIFS.2017.2766039"}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "year": 2015, "pdf": "https://doi.org/10.1109/ICACCI.2015.7275951"}, {"id": "6c0ad77af4c0850bd01bb118e175ecc313476f27", "title": "Extended multi-spectral face recognition across two different age groups: an empirical study", "year": 2016, "pdf": "http://doi.acm.org/10.1145/3009977.3010026"}, {"id": "cfdc632adcb799dba14af6a8339ca761725abf0a", "title": "Probabilistic Formulations of Regression with Mixed Guidance", "year": "2016", "pdf": "https://arxiv.org/pdf/1804.01575.pdf"}, {"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "year": 2016, "pdf": "http://doi.ieeecomputersociety.org/10.1109/ASONAM.2016.7752438"}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": 2017, "pdf": "https://doi.org/10.1109/WACVW.2017.8"}, {"id": "1aeef2ab062c27e0dbba481047e818d4c471ca57", "title": "Analyzing impact of image scaling algorithms on viola-jones face detection framework", "year": 2015, "pdf": "https://doi.org/10.1109/ICACCI.2015.7275860"}, {"id": "63a4105adbe182e67d8fd324de5c84a6df444294", "title": "Gender classification by LPQ features from intensity and Monogenic images", "year": 2017, "pdf": null}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": 2016, "pdf": "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021"}, {"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": "b161d261fabb507803a9e5834571d56a3b87d147", "title": "Gender recognition from face images using a geometric descriptor", "year": "2017", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913"}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": 2017, "pdf": "https://doi.org/10.1016/j.patcog.2017.06.028"}, {"id": "b910590a0eb191d03e1aedb3d55c905129e92e6b", "title": "Robust gender classification on unconstrained face images", "year": 2015, "pdf": "http://doi.acm.org/10.1145/2808492.2808570"}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": 2017, "pdf": "https://doi.org/10.1109/ICIP.2017.8296549"}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": null}, {"id": "ab3fcd9d5fbd2d0ad48fba4005899cf13e08d07e", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "year": "2018", "pdf": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644"}]}
\ No newline at end of file |