diff options
Diffstat (limited to 'site/datasets/final/imdb_wiki.json')
| -rw-r--r-- | site/datasets/final/imdb_wiki.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/imdb_wiki.json b/site/datasets/final/imdb_wiki.json index a24435c1..3f8b79fa 100644 --- a/site/datasets/final/imdb_wiki.json +++ b/site/datasets/final/imdb_wiki.json @@ -1 +1 @@ -{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "dataset": {"key": "imdb_wiki", "name_short": "IMDB", "using": "N", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "IMDB-Wiki", "url": "https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/", "added_on": "", "faces": "", "pdf_paper": "Y", "comments": "", "": "", "relevance": "7"}, "statistics": {"key": "imdb_wiki", "name": "IMDB", "berit": "", "charlie": "Y", "adam": "", "priority": "N", "wild": "Y", "indoor": "", "outdoor": "", "cyberspace": "", "names": "", "downloaded": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "523,051 ", "videos": "", "faces_unique": "82,612 ", "total_faces": "", "img_per_person": "23", "num_cameras": "", "faces_persons": "460,723", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "derivative_of": "", "tags": "age, gender", "source": "imdb, wikipedia", "purpose_short": "age estimation, gender", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "comment": "img/pers is average", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "10195a163ab6348eef37213a46f60a3d87f289c5", "key": "imdb_wiki", "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"], "address": "", "name": "IMDB", "doi": ["http://doi.org/10.1007/s11263-016-0940-3"]}, "address": null, "additional_papers": [{"paper_id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "key": "imdb_wiki", "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"], "address": "", "name": "IMDB", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.41", "http://doi.org/10.1109/ICCVW.2015.41"]}], "citations": [{"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}, {"address": "Oak Ridge National Laboratory", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu"}, {"address": "Stony Brook University Hospital", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu"}], "year": "2017", "pdf": "https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"address": "McGill University", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1704.06305.pdf"}, {"id": "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "title": "Fusion of classifier predictions for audio-visual emotion recognition", "addresses": [{"address": "University of Barcelona", "lat": "41.38689130", "lng": "2.16352385", "type": "edu"}, {"address": "Singidunum University", "lat": "44.81238400", "lng": "20.45350100", "type": "edu"}, {"address": "University of Tartu", "lat": "58.38131405", "lng": "26.72078081", "type": "edu"}], "year": "2016", "pdf": null}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1809.00338.pdf"}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2018", "pdf": "http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"}, {"id": "2cdc40f20b70ca44d9fd8e7716080ee05ca7924a", "title": "Real-time Convolutional Neural Networks for Emotion and Gender Classification", "addresses": [{"address": "Heriot-Watt University", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1710.07557.pdf"}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"address": "Macau University of Science and Technology", "lat": "22.15263985", "lng": "113.56803206", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Dundee", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu"}], "year": "2017", "pdf": "https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"}, {"id": "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "title": "Smart Facial Age Estimation with Stacked Deep Network Fusion", "addresses": [{"address": "National Chung Hsing University", "lat": "24.12084345", "lng": "120.67571165", "type": "edu"}, {"address": "National Taichung University of Science and Technology", "lat": "24.15031065", "lng": "120.68325501", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2016", "pdf": "https://arxiv.org/pdf/1606.02909.pdf"}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"address": "Wayne State University", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu"}], "year": "2018", "pdf": "http://www.cs.wayne.edu/~mdong/tmm18.pdf"}, {"id": "a713a01971e73d0c3118d0409dc7699a24f521d6", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"address": "Universit\u00e0 degli Studi di Milano", "lat": "45.47567215", "lng": "9.23336232", "type": "edu"}], "year": "2017", "pdf": "https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"}, {"id": "cca9ae621e8228cfa787ec7954bb375536160e0d", "title": "Learning to Collaborate for User-Controlled Privacy", "addresses": [{"address": "Duke University", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu"}, {"address": "University College London", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1805.07410.pdf"}, {"id": "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "title": "Evaluating race and sex diversity in the world's largest companies using deep neural networks", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1707.02353.pdf"}, {"id": "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "title": "Deep expectation for estimation of fingerprint orientation fields", "addresses": [{"address": "Dermalog Identification Systems, Hamburg, Germany", "lat": "53.57227000", "lng": "9.99472000", "type": "company"}, {"address": "Norwegian Biometrics Lab, NTNU, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "56e079f4eb40744728fd1d7665938b06426338e5", "title": "Bayesian Approaches to Distribution Regression", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}, {"address": "University College London", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu"}, {"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1705.04293.pdf"}, {"id": "407bb798ab153bf6156ba2956f8cf93256b6910a", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"address": "McGill University", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1803.08134.pdf"}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "65d705bbcc10f42683503b3599327c816265d951", "title": "Articulated Motion and Deformable Objects", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2014", "pdf": "http://www.cbsr.ia.ac.cn/users/jwan/papers/PR2018_AMDO.pdf"}, {"id": "eb027969f9310e0ae941e2adee2d42cdf07d938c", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1710.08092.pdf"}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"address": "McGill University", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu"}], "year": "2017", "pdf": "https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"}, {"id": "d454ad60b061c1a1450810a0f335fafbfeceeccc", "title": "Deep Regression Forests for Age Estimation", "addresses": [{"address": "Shanghai University", "lat": "31.32235655", "lng": "121.38400941", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1712.07195.pdf"}, {"id": "288964068cd87d97a98b8bc927d6e0d2349458a2", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "", "pdf": "https://pdfs.semanticscholar.org/2889/64068cd87d97a98b8bc927d6e0d2349458a2.pdf"}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": "http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2018", "pdf": "http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"}, {"id": "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "title": "Age and gender estimation using deep residual learning network", "addresses": [{"address": "Ajou University", "lat": "37.28300030", "lng": "127.04548469", "type": "edu"}, {"address": "Korea Electronics Technology Institute", "lat": "37.40391700", "lng": "127.15978600", "type": "edu"}, {"address": "Seoul National University", "lat": "37.26728000", "lng": "126.98411510", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Electrical and Computer Engineering", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu"}], "year": "2017", "pdf": "https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"address": "Wayne State University", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu"}], "year": "2017", "pdf": "http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf"}, {"id": "975978ee6a32383d6f4f026b944099e7739e5890", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"address": "University of Manitoba", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu"}, {"address": "Simon Fraser University", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu"}], "year": "2018", "pdf": "https://pdfs.semanticscholar.org/9759/78ee6a32383d6f4f026b944099e7739e5890.pdf"}, {"id": "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "title": "Feature specific analysis of a deep convolutional neural network for ageing classification", "addresses": [{"address": "Newcastle University", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "36a3a96ef54000a0cd63de867a5eb7e84396de09", "title": "Automatic Photo Orientation Detection with Convolutional Neural Networks", "addresses": [{"address": "University of Toronto", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu"}], "year": "2017", "pdf": "http://www.cs.toronto.edu/~guerzhoy/oriviz/crv17.pdf"}, {"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"address": "Shanghai University", "lat": "31.32235655", "lng": "121.38400941", "type": "edu"}], "year": "2018", "pdf": "https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"}, {"id": "dfbf941adeea19f5dff4a70a466ddd1b77f3b727", "title": "Models for supervised learning in sequence data", "addresses": [{"address": "Delft University of Technology", "lat": "51.99882735", "lng": "4.37396037", "type": "edu"}], "year": "2018", "pdf": "https://pdfs.semanticscholar.org/dfbf/941adeea19f5dff4a70a466ddd1b77f3b727.pdf"}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}, {"address": "Samsung SAIT, Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company"}], "year": "2018", "pdf": null}, {"id": "00a967cb2d18e1394226ad37930524a31351f6cf", "title": "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification", "addresses": [{"address": "IBM Research, North Carolina", "lat": "35.90422720", "lng": "-78.85565763", "type": "company"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1611.05377.pdf"}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"address": "Samsung R&D Institute, Bangalore, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company"}], "year": "2017", "pdf": "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"}, {"id": "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "title": "Age Estimation by Refining Label Distribution in Deep CNN", "addresses": [{"address": "East China Normal University", "lat": "31.22849230", "lng": "121.40211389", "type": "edu"}], "year": "2017", "pdf": "http://ccbr2017.org/ccbr%20PPT/95%E5%8F%B7%E8%AE%BA%E6%96%87-%E7%94%B3%E6%99%9A%E9%9C%9E%20wanxiahen-ccbr.pdf"}, {"id": "2e231f1e7e641dd3619bec59e14d02e91360ac01", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"address": "University of Bath", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu"}, {"address": "Charles Sturt University", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1807.10421.pdf"}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"address": "Singapore University of Technology and Design", "lat": "1.34021600", "lng": "103.96508900", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1708.07689.pdf"}, {"id": "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "title": "Facial age estimation through self-paced learning", "addresses": [{"address": "East China Normal University", "lat": "31.22849230", "lng": "121.40211389", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "title": "Real Time System for Facial Analysis", "addresses": [{"address": "Tampere University of Technology", "lat": "61.44964205", "lng": "23.85877462", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1809.05474.pdf"}, {"id": "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "title": "Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018", "addresses": [{"address": "University of Edinburgh", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu"}], "year": "2018", "pdf": "https://pdfs.semanticscholar.org/f5fa/e7810a33ed67852ad6a3e0144cb278b24b41.pdf"}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}], "year": "2017", "pdf": "https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"}, {"id": "86d0127e1fd04c3d8ea78401c838af621647dc95", "title": "A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction", "addresses": [{"address": "Hunan University", "lat": "26.88111275", "lng": "112.62850666", "type": "edu"}, {"address": "National University of Defense Technology, China", "lat": "28.22902090", "lng": "112.99483204", "type": "edu"}, {"address": "University of Texas at San Antonio", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1804.02810.pdf"}, {"id": "d80a3d1f3a438e02a6685e66ee908446766fefa9", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}, {"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1708.09687.pdf"}, {"id": "54bb25a213944b08298e4e2de54f2ddea890954a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "year": "2017", "pdf": "http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf"}, {"id": "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "title": "User Profiling through Deep Multimodal Fusion", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}, {"address": "University of Washington", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "b8c08c1330779283b3fbf06d133faf8bd55ea941", "title": "Online Regression with Feature Selection in Stochastic Data Streams", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1803.11521.pdf"}, {"id": "1cfca6b71b0ead87bbb79a8614ddec3a10100faa", "title": "Are screening methods useful in feature selection? An empirical study", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1809.05465.pdf"}, {"id": "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "title": "Robust Joint and Individual Variance Explained", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "year": "2017", "pdf": "http://openaccess.thecvf.com/content_cvpr_2017/papers/Sagonas_Robust_Joint_and_CVPR_2017_paper.pdf"}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"address": "Nanjing University", "lat": "32.05659570", "lng": "118.77408833", "type": "edu"}, {"address": "Southeast University", "lat": "32.05752790", "lng": "118.78682252", "type": "edu"}], "year": "2018", "pdf": "https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"}, {"id": "1b248ed8e7c9514648cd598960fadf9ab17e7fe8", "title": "From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation", "addresses": [{"address": "University of Tartu", "lat": "58.38131405", "lng": "26.72078081", "type": "edu"}, {"address": "University of Barcelona", "lat": "41.38689130", "lng": "2.16352385", "type": "edu"}], "year": "", "pdf": "https://pdfs.semanticscholar.org/1b24/8ed8e7c9514648cd598960fadf9ab17e7fe8.pdf"}, {"id": "7fab17ef7e25626643f1d55257a3e13348e435bd", "title": "Age Progression/Regression by Conditional Adversarial Autoencoder", "addresses": [{"address": "University of Tennessee", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1702.08423.pdf"}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"address": "Concordia University", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1802.08726.pdf"}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}, {"address": "Harvard University", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu"}], "year": "2016", "pdf": "https://arxiv.org/pdf/1611.05916.pdf"}, {"id": "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "title": "DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model", "addresses": [{"address": "University of Trento", "lat": "46.06588360", "lng": "11.11598940", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1808.09211.pdf"}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"address": "Xiamen University", "lat": "24.43994190", "lng": "118.09301781", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "523854a7d8755e944bd50217c14481fe1329a969", "title": "A Differentially Private Kernel Two-Sample Test", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1808.00380.pdf"}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1801.06665.pdf"}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"address": "AltumView Systems Inc., Burnaby, BC, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company"}], "year": "2017", "pdf": null}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1611.00851.pdf"}, {"id": "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "title": "Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}, {"address": "Macau University of Science and Technology", "lat": "22.15263985", "lng": "113.56803206", "type": "edu"}], "year": "2016", "pdf": "https://pdfs.semanticscholar.org/d060/f2f3641c6a89ade021eea749414a5c6b443f.pdf"}, {"id": "d0296efc3c532269aaa7e8f856f5d1807af847fb", "title": "Improving the face recognition system by hybrid image preprocessing", "addresses": [{"address": "Hunan University", "lat": "26.88111275", "lng": "112.62850666", "type": "edu"}, {"address": "Harbin Institute of Technology", "lat": "45.74139210", "lng": "126.62552755", "type": "edu"}], "year": "2016", "pdf": null}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2017", "pdf": "http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"}, {"id": "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "title": "A method of facial wearable items recognition", "addresses": [{"address": "Shandong University", "lat": "36.36934730", "lng": "120.67381800", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "title": "Multi-task learning for smile detection, emotion recognition and gender classification", "addresses": [{"address": "Hanoi University of Science and Technology", "lat": "21.00395200", "lng": "105.84360183", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"address": "Simon Fraser University", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu"}, {"address": "University of Manitoba", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu"}], "year": "2018", "pdf": "http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"}, {"id": "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "title": "Calibrated Prediction Intervals for Neural Network Regressors", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1803.09546.pdf"}, {"id": "75f9d3533f175943e33c9155f4038488f32a24bc", "title": "Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1811.06817.pdf"}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"address": "Kyung Hee University", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu"}, {"address": "King Saud University", "lat": "24.72464030", "lng": "46.62335012", "type": "edu"}, {"address": "Institute of Information Technology", "lat": "23.72898990", "lng": "90.39826820", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"address": "IIIT Delhi, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1803.07385.pdf"}, {"id": "c1586ee25e660f31cba0ca9ba5bf39ffcc020aab", "title": "A Modulation Module for Multi-task Learning with Applications in Image Retrieval", "addresses": [{"address": "Northwestern University", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1807.06708.pdf"}, {"id": "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "title": "End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies", "addresses": [{"address": "American University in Cairo", "lat": "30.04287695", "lng": "31.23664139", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1710.03804.pdf"}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"address": "University of Science and Technology of China", "lat": "31.83907195", "lng": "117.26420748", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "1491d0938bb4183bd19f2fee3b61997e1918160d", "title": "Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1807.00453.pdf"}, {"id": "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "title": "On the application of quantization for mobile optimized convolutional neural networks as a predictor of realtime ageing biomarkers", "addresses": [{"address": "Newcastle University", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "b88bace97d214d279e3a2053ccff0b6425295708", "title": "A Novel Framework for Online Supervised Learning with Feature Selection", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1803.11521.pdf"}, {"id": "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "title": "Learning with Ambiguous Label Distribution for Apparent Age Estimation", "addresses": [{"address": "Tampere University of Technology", "lat": "61.44964205", "lng": "23.85877462", "type": "edu"}], "year": "2016", "pdf": "https://pdfs.semanticscholar.org/b20c/fbb2348984b4e25b6b9174f3c7b65b6aed9e.pdf"}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1809.07447.pdf"}, {"id": "6db593d99fabc7f787f41786cb2e37c084f1ad19", "title": "Deep Age Estimation Model Stabilization from Images to Videos", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "4b9ec224949c79a980a5a66664d0ac6233c3d575", "title": "Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization", "addresses": [{"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}, {"address": "University of Rochester", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2017", "pdf": null}, {"id": "10d6fe566125597195cf985084347139a8cdad1e", "title": "Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Queen Mary University of London", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu"}, {"address": "Sharif University of Technology", "lat": "35.70362270", "lng": "51.35125097", "type": "edu"}], "year": "2018", "pdf": "https://haddadi.github.io/papers/ieeeComputer2018hybrid.pdf"}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}, {"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1805.08373.pdf"}, {"id": "f7b422df567ce9813926461251517761e3e6cda0", "title": "Face aging with conditional generative adversarial networks", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1702.01983.pdf"}, {"id": "68573e296f069071d071fc158e974e8bc70c893f", "title": "Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification", "addresses": [{"address": "Hanoi University of Science and Technology", "lat": "21.00395200", "lng": "105.84360183", "type": "edu"}], "year": "2018", "pdf": "https://pdfs.semanticscholar.org/6857/3e296f069071d071fc158e974e8bc70c893f.pdf"}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"address": "University of Trento", "lat": "46.06588360", "lng": "11.11598940", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1802.00237.pdf"}, {"id": "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "title": "Face Aging with Improved Invertible Conditional GANs", "addresses": [{"address": "Xi'an Jiaotong University", "lat": "34.24749490", "lng": "108.97898751", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2016", "pdf": "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf"}, {"id": "f519723238701849f1160d5a9cedebd31017da89", "title": "Impact of multi-focused images on recognition of soft biometric traits", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2016", "pdf": "https://pdfs.semanticscholar.org/f519/723238701849f1160d5a9cedebd31017da89.pdf"}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1809.02169.pdf"}, {"id": "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "title": "Does A Body Image Tell Age?", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"address": "Electrical and Computer Engineering", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": null}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1710.08092.pdf"}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": "https://arxiv.org/pdf/1708.08197.pdf"}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"address": "Universit\u00e0 degli Studi di Milano", "lat": "45.47567215", "lng": "9.23336232", "type": "edu"}], "year": "2017", "pdf": "https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"}, {"id": "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "title": "Unsupervised Learning of Mixture Models with a Uniform Background Component", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1804.02744.pdf"}, {"id": "08d41d2f68a2bf0091dc373573ca379de9b16385", "title": "Recursive Chaining of Reversible Image-to-image Translators For Face Aging", "addresses": [{"address": "Aalto University", "lat": "60.18558755", "lng": "24.82427330", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1802.05023.pdf"}, {"id": "4905323aaf61952e07f62c18fa662c7da895e40e", "title": "Recovering Joint and Individual Components in Facial Data", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2018", "pdf": "https://ibug.doc.ic.ac.uk/media/uploads/documents/final-tpami-rjive.pdf"}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"address": "Institute of Information Science", "lat": "25.04107280", "lng": "121.61475620", "type": "edu"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1806.02023.pdf"}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"address": "University of Groningen", "lat": "53.21967825", "lng": "6.56251482", "type": "edu"}], "year": "2018", "pdf": "https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"address": "Tencent", "lat": "22.54471540", "lng": "113.93571640", "type": "company"}], "year": "2018", "pdf": "https://arxiv.org/pdf/1810.07599.pdf"}]}
\ No newline at end of file +{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "dataset": {"key": "imdb_wiki", "name_short": "IMDB", "using": "N", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "IMDB-Wiki", "url": "https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/", "added_on": "", "faces": "", "pdf_paper": "Y", "comments": "", "": "", "relevance": "7"}, "statistics": {"key": "imdb_wiki", "name": "IMDB", "berit": "", "charlie": "Y", "adam": "", "priority": "N", "wild": "Y", "indoor": "", "outdoor": "", "cyberspace": "", "names": "", "downloaded": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "523,051 ", "videos": "", "faces_unique": "82,612 ", "total_faces": "", "img_per_person": "23", "num_cameras": "", "faces_persons": "460,723", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "Y", "gray": "", "derivative_of": "", "tags": "age, gender", "source": "imdb, wikipedia", "purpose_short": "age estimation, gender", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "comment": "img/pers is average", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "10195a163ab6348eef37213a46f60a3d87f289c5", "key": "imdb_wiki", "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"], "address": "", "name": "IMDB", "doi": ["http://doi.org/10.1007/s11263-016-0940-3"]}, "address": null, "additional_papers": [{"paper_id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "key": "imdb_wiki", "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"], "address": "", "name": "IMDB", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.41", "http://doi.org/10.1109/ICCVW.2015.41"]}], "citations": [{"id": "14e9158daf17985ccbb15c9cd31cf457e5551990", "title": "ConvNets with Smooth Adaptive Activation Functions for Regression", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}, {"address": "Oak Ridge National Laboratory", "lat": "35.93006535", "lng": "-84.31240032", "type": "edu"}, {"address": "Stony Brook University Hospital", "lat": "40.90826665", "lng": "-73.11520891", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf"]}, {"id": "13719bbb4bb8bbe0cbcdad009243a926d93be433", "title": "Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "addresses": [{"address": "McGill University", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06305.pdf"]}, {"id": "b7845e0b0ce17cde7db37d5524ef2a61dee3e540", "title": "Fusion of classifier predictions for audio-visual emotion recognition", "addresses": [{"address": "University of Barcelona", "lat": "41.38689130", "lng": "2.16352385", "type": "edu"}, {"address": "Singidunum University", "lat": "44.81238400", "lng": "20.45350100", "type": "edu"}, {"address": "University of Tartu", "lat": "58.38131405", "lng": "26.72078081", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "fca9ebaa30d69ccec8bb577c31693c936c869e72", "title": "Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00338.pdf"]}, {"id": "4522a7268facecf05769e90cae6555ac70c05cc8", "title": "Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TCYB2017_age.pdf"]}, {"id": "2cdc40f20b70ca44d9fd8e7716080ee05ca7924a", "title": "Real-time Convolutional Neural Networks for Emotion and Gender Classification", "addresses": [{"address": "Heriot-Watt University", "lat": "55.91029135", "lng": "-3.32345777", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.07557.pdf"]}, {"id": "d5b0e73b584be507198b6665bcddeba92b62e1e5", "title": "Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "addresses": [{"address": "Macau University of Science and Technology", "lat": "22.15263985", "lng": "113.56803206", "type": "edu"}, {"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Dundee", "lat": "56.45796755", "lng": "-2.98214831", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b0/e73b584be507198b6665bcddeba92b62e1e5.pdf"]}, {"id": "6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc", "title": "Smart Facial Age Estimation with Stacked Deep Network Fusion", "addresses": [{"address": "National Chung Hsing University", "lat": "24.12084345", "lng": "120.67571165", "type": "edu"}, {"address": "National Taichung University of Science and Technology", "lat": "24.15031065", "lng": "120.68325501", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "fd53be2e0a9f33080a9db4b5a5e416e24ae8e198", "title": "Apparent Age Estimation Using Ensemble of Deep Learning Models", "addresses": [{"address": "Istanbul Technical University", "lat": "41.10427915", "lng": "29.02231159", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02909.pdf"]}, {"id": "4f1249369127cc2e2894f6b2f1052d399794919a", "title": "Deep Age Estimation: From Classification to Ranking", "addresses": [{"address": "Wayne State University", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu"}], "year": "2018", "pdf": ["http://www.cs.wayne.edu/~mdong/tmm18.pdf"]}, {"id": "a713a01971e73d0c3118d0409dc7699a24f521d6", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"address": "Universit\u00e0 degli Studi di Milano", "lat": "45.47567215", "lng": "9.23336232", "type": "edu"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"]}, {"id": "cca9ae621e8228cfa787ec7954bb375536160e0d", "title": "Learning to Collaborate for User-Controlled Privacy", "addresses": [{"address": "Duke University", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu"}, {"address": "University College London", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07410.pdf"]}, {"id": "3ca5d3b8f5f071148cb50f22955fd8c1c1992719", "title": "Evaluating race and sex diversity in the world's largest companies using deep neural networks", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02353.pdf"]}, {"id": "5b64584d6b01e66dfd0b6025b2552db1447ccdeb", "title": "Deep expectation for estimation of fingerprint orientation fields", "addresses": [{"address": "Dermalog Identification Systems, Hamburg, Germany", "lat": "53.57227000", "lng": "9.99472000", "type": "company"}, {"address": "Norwegian Biometrics Lab, NTNU, Norway", "lat": "60.78973180", "lng": "10.68219270", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "56e079f4eb40744728fd1d7665938b06426338e5", "title": "Bayesian Approaches to Distribution Regression", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}, {"address": "University College London", "lat": "51.52316070", "lng": "-0.12820370", "type": "edu"}, {"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.04293.pdf"]}, {"id": "407bb798ab153bf6156ba2956f8cf93256b6910a", "title": "Fisher Pruning of Deep Nets for Facial Trait Classification", "addresses": [{"address": "McGill University", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08134.pdf"]}, {"id": "39c10888a470b92b917788c57a6fd154c97b421c", "title": "Joint multi-feature fusion and attribute relationships for facial attribute prediction", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "65d705bbcc10f42683503b3599327c816265d951", "title": "Articulated Motion and Deformable Objects", "addresses": [{"address": "University of Surrey", "lat": "51.24303255", "lng": "-0.59001382", "type": "edu"}], "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/PR2018_AMDO.pdf"]}, {"id": "eb027969f9310e0ae941e2adee2d42cdf07d938c", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"]}, {"id": "ed9d11e995baeec17c5d2847ec1a8d5449254525", "title": "Efficient Gender Classification Using a Deep LDA-Pruned Net", "addresses": [{"address": "McGill University", "lat": "45.50397610", "lng": "-73.57496870", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ed9d/11e995baeec17c5d2847ec1a8d5449254525.pdf"]}, {"id": "d454ad60b061c1a1450810a0f335fafbfeceeccc", "title": "Deep Regression Forests for Age Estimation", "addresses": [{"address": "Shanghai University", "lat": "31.32235655", "lng": "121.38400941", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07195.pdf"]}, {"id": "288964068cd87d97a98b8bc927d6e0d2349458a2", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/2889/64068cd87d97a98b8bc927d6e0d2349458a2.pdf"]}, {"id": "d00e9a6339e34c613053d3b2c132fccbde547b56", "title": "A cascaded convolutional neural network for age estimation of unconstrained faces", "addresses": [{"address": "State University of New Jersey", "lat": "40.51865195", "lng": "-74.44099801", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2016", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Conference_pub/btas_age_2016_cameraready.pdf"]}, {"id": "ae88996aad98bfa49a49d653fd9476e5982e982c", "title": "Efficient Group-n Encoding and Decoding for Facial Age Estimation", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "West Virginia University", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu"}], "year": "2018", "pdf": ["http://www.cbsr.ia.ac.cn/users/jwan/papers/TPAMI2017_age.pdf"]}, {"id": "c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c", "title": "Age and gender estimation using deep residual learning network", "addresses": [{"address": "Ajou University", "lat": "37.28300030", "lng": "127.04548469", "type": "edu"}, {"address": "Korea Electronics Technology Institute", "lat": "37.40391700", "lng": "127.15978600", "type": "edu"}, {"address": "Seoul National University", "lat": "37.26728000", "lng": "126.98411510", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "5f94969b9491db552ffebc5911a45def99026afe", "title": "Multimodal Learning and Reasoning for Visual Question Answering", "addresses": [{"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}, {"address": "Electrical and Computer Engineering", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5f94/969b9491db552ffebc5911a45def99026afe.pdf"]}, {"id": "28d99dc2d673d62118658f8375b414e5192eac6f", "title": "Using Ranking-CNN for Age Estimation", "addresses": [{"address": "Wayne State University", "lat": "42.35775700", "lng": "-83.06286711", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Using_Ranking-CNN_for_CVPR_2017_paper.pdf", "http://www.cs.wayne.edu/~mdong/cvpr17.pdf"]}, {"id": "975978ee6a32383d6f4f026b944099e7739e5890", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"address": "University of Manitoba", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu"}, {"address": "Simon Fraser University", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/9759/78ee6a32383d6f4f026b944099e7739e5890.pdf"]}, {"id": "d1a8a46e1eb3769ed12f44075d63b49ccfe8c137", "title": "Feature specific analysis of a deep convolutional neural network for ageing classification", "addresses": [{"address": "Newcastle University", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "36a3a96ef54000a0cd63de867a5eb7e84396de09", "title": "Automatic Photo Orientation Detection with Convolutional Neural Networks", "addresses": [{"address": "University of Toronto", "lat": "43.66333345", "lng": "-79.39769975", "type": "edu"}], "year": "2017", "pdf": ["http://www.cs.toronto.edu/~guerzhoy/oriviz/crv17.pdf"]}, {"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"address": "Shanghai University", "lat": "31.32235655", "lng": "121.38400941", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5f0d/4a0b5f72d8700cdf8cb179263a8fa866b59b.pdf"]}, {"id": "dfbf941adeea19f5dff4a70a466ddd1b77f3b727", "title": "Models for supervised learning in sequence data", "addresses": [{"address": "Delft University of Technology", "lat": "51.99882735", "lng": "4.37396037", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dfbf/941adeea19f5dff4a70a466ddd1b77f3b727.pdf"]}, {"id": "cb27b45329d61f5f95ed213798d4b2a615e76be2", "title": "Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "addresses": [{"address": "Korea Advanced Institute of Science and Technology", "lat": "36.36971910", "lng": "127.36253700", "type": "edu"}, {"address": "Samsung SAIT, Korea", "lat": "37.25202260", "lng": "127.05550190", "type": "company"}], "year": "2018", "pdf": []}, {"id": "00a967cb2d18e1394226ad37930524a31351f6cf", "title": "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification", "addresses": [{"address": "IBM Research, North Carolina", "lat": "35.90422720", "lng": "-78.85565763", "type": "company"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05377.pdf"]}, {"id": "cf736f596bf881ca97ec4b29776baaa493b9d50e", "title": "Low Dimensional Deep Features for facial landmark alignment", "addresses": [{"address": "Samsung R&D Institute, Bangalore, India", "lat": "12.98035370", "lng": "77.69751010", "type": "company"}], "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002612.pdf"]}, {"id": "91a1945b9c40af4944a6cdcfe59a0999de4f650a", "title": "Age Estimation by Refining Label Distribution in Deep CNN", "addresses": [{"address": "East China Normal University", "lat": "31.22849230", "lng": "121.40211389", "type": "edu"}], "year": "2017", "pdf": ["http://ccbr2017.org/ccbr%20PPT/95%E5%8F%B7%E8%AE%BA%E6%96%87-%E7%94%B3%E6%99%9A%E9%9C%9E%20wanxiahen-ccbr.pdf"]}, {"id": "2e231f1e7e641dd3619bec59e14d02e91360ac01", "title": "Fusion Network for Face-Based Age Estimation", "addresses": [{"address": "University of Bath", "lat": "51.37914420", "lng": "-2.32523320", "type": "edu"}, {"address": "Charles Sturt University", "lat": "-35.06360710", "lng": "147.35522340", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10421.pdf"]}, {"id": "00823e6c0b6f1cf22897b8d0b2596743723ec51c", "title": "Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "addresses": [{"address": "Singapore University of Technology and Design", "lat": "1.34021600", "lng": "103.96508900", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07689.pdf"]}, {"id": "5364e58ba1f4cdfcffb247c2421e8f56a75fad8d", "title": "Facial age estimation through self-paced learning", "addresses": [{"address": "East China Normal University", "lat": "31.22849230", "lng": "121.40211389", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "7f21a7441c6ded38008c1fd0b91bdd54425d3f80", "title": "Real Time System for Facial Analysis", "addresses": [{"address": "Tampere University of Technology", "lat": "61.44964205", "lng": "23.85877462", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05474.pdf"]}, {"id": "f5fae7810a33ed67852ad6a3e0144cb278b24b41", "title": "Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018", "addresses": [{"address": "University of Edinburgh", "lat": "55.94951105", "lng": "-3.19534913", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f5fa/e7810a33ed67852ad6a3e0144cb278b24b41.pdf"]}, {"id": "1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc", "title": "Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf"]}, {"id": "86d0127e1fd04c3d8ea78401c838af621647dc95", "title": "A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction", "addresses": [{"address": "Hunan University", "lat": "26.88111275", "lng": "112.62850666", "type": "edu"}, {"address": "National University of Defense Technology, China", "lat": "28.22902090", "lng": "112.99483204", "type": "edu"}, {"address": "University of Texas at San Antonio", "lat": "29.58333105", "lng": "-98.61944505", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02810.pdf"]}, {"id": "d80a3d1f3a438e02a6685e66ee908446766fefa9", "title": "Quantifying Facial Age by Posterior of Age Comparisons", "addresses": [{"address": "SenseTime", "lat": "39.99300800", "lng": "116.32988200", "type": "company"}, {"address": "Chinese University of Hong Kong", "lat": "22.42031295", "lng": "114.20788644", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.09687.pdf"]}, {"id": "54bb25a213944b08298e4e2de54f2ddea890954a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"]}, {"id": "493c8591d6a1bef5d7b84164a73761cefb9f5a25", "title": "User Profiling through Deep Multimodal Fusion", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}, {"address": "University of Washington", "lat": "47.65432380", "lng": "-122.30800894", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "b8c08c1330779283b3fbf06d133faf8bd55ea941", "title": "Online Regression with Feature Selection in Stochastic Data Streams", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"]}, {"id": "1cfca6b71b0ead87bbb79a8614ddec3a10100faa", "title": "Are screening methods useful in feature selection? An empirical study", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05465.pdf"]}, {"id": "a06b6d30e2b31dc600f622ab15afe5e2929581a7", "title": "Robust Joint and Individual Variance Explained", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Sagonas_Robust_Joint_and_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/2209.pdf"]}, {"id": "8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8", "title": "Age Estimation Using Expectation of Label Distribution Learning", "addresses": [{"address": "Nanjing University", "lat": "32.05659570", "lng": "118.77408833", "type": "edu"}, {"address": "Southeast University", "lat": "32.05752790", "lng": "118.78682252", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf"]}, {"id": "1b248ed8e7c9514648cd598960fadf9ab17e7fe8", "title": "From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation", "addresses": [{"address": "University of Tartu", "lat": "58.38131405", "lng": "26.72078081", "type": "edu"}, {"address": "University of Barcelona", "lat": "41.38689130", "lng": "2.16352385", "type": "edu"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/1b24/8ed8e7c9514648cd598960fadf9ab17e7fe8.pdf"]}, {"id": "7fab17ef7e25626643f1d55257a3e13348e435bd", "title": "Age Progression/Regression by Conditional Adversarial Autoencoder", "addresses": [{"address": "University of Tennessee", "lat": "35.95424930", "lng": "-83.93073950", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08423.pdf"]}, {"id": "ec05078be14a11157ac0e1c6b430ac886124589b", "title": "Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "addresses": [{"address": "Concordia University", "lat": "45.57022705", "lng": "-122.63709346", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08726.pdf"]}, {"id": "2149d49c84a83848d6051867290d9c8bfcef0edb", "title": "Label-Sensitive Deep Metric Learning for Facial Age Estimation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "0ba402af3b8682e2aa89f76bd823ddffdf89fa0a", "title": "Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "addresses": [{"address": "Stony Brook University", "lat": "40.91531960", "lng": "-73.12706260", "type": "edu"}, {"address": "Harvard University", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.05916.pdf"]}, {"id": "df31e9c882dfb3ea5a3abe3b139ceacb1d90a302", "title": "DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model", "addresses": [{"address": "University of Trento", "lat": "46.06588360", "lng": "11.11598940", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09211.pdf"]}, {"id": "6601a96220005883572fad5aa6b4632e413c8e5e", "title": "Recurrent learning of context for salient region detection", "addresses": [{"address": "Xiamen University", "lat": "24.43994190", "lng": "118.09301781", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "523854a7d8755e944bd50217c14481fe1329a969", "title": "A Differentially Private Kernel Two-Sample Test", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00380.pdf"]}, {"id": "9b0489f2d5739213ef8c3e2e18739c4353c3a3b7", "title": "Visual Data Augmentation through Learning", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Middlesex University", "lat": "51.59029705", "lng": "-0.22963221", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06665.pdf"]}, {"id": "51f626540860ad75b68206025a45466a6d087aa6", "title": "Cluster convolutional neural networks for facial age estimation", "addresses": [{"address": "Tsinghua University", "lat": "40.00229045", "lng": "116.32098908", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "b44f03b5fa8c6275238c2d13345652e6ff7e6ea9", "title": "Lapped convolutional neural networks for embedded systems", "addresses": [{"address": "AltumView Systems Inc., Burnaby, BC, Canada", "lat": "49.25938790", "lng": "-122.91518930", "type": "company"}], "year": "2017", "pdf": []}, {"id": "93420d9212dd15b3ef37f566e4d57e76bb2fab2f", "title": "An All-In-One Convolutional Neural Network for Face Analysis", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.00851.pdf"]}, {"id": "56f231fc40424ed9a7c93cbc9f5a99d022e1d242", "title": "Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}, {"address": "Macau University of Science and Technology", "lat": "22.15263985", "lng": "113.56803206", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d060/f2f3641c6a89ade021eea749414a5c6b443f.pdf"]}, {"id": "d0296efc3c532269aaa7e8f856f5d1807af847fb", "title": "Improving the face recognition system by hybrid image preprocessing", "addresses": [{"address": "Hunan University", "lat": "26.88111275", "lng": "112.62850666", "type": "edu"}, {"address": "Harbin Institute of Technology", "lat": "45.74139210", "lng": "126.62552755", "type": "edu"}], "year": "2016", "pdf": []}, {"id": "1648cf24c042122af2f429641ba9599a2187d605", "title": "Boosting cross-age face verification via generative age normalization", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2017", "pdf": ["http://www.eurecom.fr/en/publication/5333/download/sec-publi-5333.pdf"]}, {"id": "fdd80b2139ff1b9becb17badd053b9a4a6a243f2", "title": "A method of facial wearable items recognition", "addresses": [{"address": "Shandong University", "lat": "36.36934730", "lng": "120.67381800", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "ca37933b6297cdca211aa7250cbe6b59f8be40e5", "title": "Multi-task learning for smile detection, emotion recognition and gender classification", "addresses": [{"address": "Hanoi University of Science and Technology", "lat": "21.00395200", "lng": "105.84360183", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "880b4be9afc4d5ef75b5d77f51eadb557acbf251", "title": "Privacy-Preserving Age Estimation for Content Rating", "addresses": [{"address": "Simon Fraser University", "lat": "49.27674540", "lng": "-122.91777375", "type": "edu"}, {"address": "University of Manitoba", "lat": "49.80915360", "lng": "-97.13304179", "type": "edu"}], "year": "2018", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/mmsp18.pdf"]}, {"id": "cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2", "title": "Calibrated Prediction Intervals for Neural Network Regressors", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09546.pdf"]}, {"id": "75f9d3533f175943e33c9155f4038488f32a24bc", "title": "Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06817.pdf"]}, {"id": "854b1f0581f5d3340f15eb79452363cbf38c04c8", "title": "Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "addresses": [{"address": "Kyung Hee University", "lat": "32.85363330", "lng": "-117.20352860", "type": "edu"}, {"address": "King Saud University", "lat": "24.72464030", "lng": "46.62335012", "type": "edu"}, {"address": "Institute of Information Technology", "lat": "23.72898990", "lng": "90.39826820", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "f726738954e7055bb3615fa7e8f59f136d3e0bdc", "title": "Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "addresses": [{"address": "IIIT Delhi, India", "lat": "28.54562820", "lng": "77.27315050", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07385.pdf"]}, {"id": "c1586ee25e660f31cba0ca9ba5bf39ffcc020aab", "title": "A Modulation Module for Multi-task Learning with Applications in Image Retrieval", "addresses": [{"address": "Northwestern University", "lat": "42.05511640", "lng": "-87.67581113", "type": "edu"}, {"address": "Carnegie Mellon University", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06708.pdf"]}, {"id": "3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2", "title": "End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies", "addresses": [{"address": "American University in Cairo", "lat": "30.04287695", "lng": "31.23664139", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.03804.pdf"]}, {"id": "47cd161546c59ab1e05f8841b82e985f72e5ddcb", "title": "Gender classification in live videos", "addresses": [{"address": "University of Science and Technology of China", "lat": "31.83907195", "lng": "117.26420748", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "1491d0938bb4183bd19f2fee3b61997e1918160d", "title": "Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision", "addresses": [{"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00453.pdf"]}, {"id": "ad53d57f69fdc3fcd6754477895ff4f51f503bf8", "title": "On the application of quantization for mobile optimized convolutional neural networks as a predictor of realtime ageing biomarkers", "addresses": [{"address": "Newcastle University", "lat": "54.98023235", "lng": "-1.61452627", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "b88bace97d214d279e3a2053ccff0b6425295708", "title": "A Novel Framework for Online Supervised Learning with Feature Selection", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11521.pdf"]}, {"id": "b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e", "title": "Learning with Ambiguous Label Distribution for Apparent Age Estimation", "addresses": [{"address": "Tampere University of Technology", "lat": "61.44964205", "lng": "23.85877462", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b20c/fbb2348984b4e25b6b9174f3c7b65b6aed9e.pdf"]}, {"id": "f3ec43a7b22f6e5414fec473acda8ffd843e7baf", "title": "A Coupled Evolutionary Network for Age Estimation", "addresses": [{"address": "University of Chinese Academy of Sciences", "lat": "39.90828040", "lng": "116.24585270", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07447.pdf"]}, {"id": "6db593d99fabc7f787f41786cb2e37c084f1ad19", "title": "Deep Age Estimation Model Stabilization from Images to Videos", "addresses": [{"address": "Chinese Academy of Sciences", "lat": "40.00447950", "lng": "116.37023800", "type": "edu"}, {"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "4b9ec224949c79a980a5a66664d0ac6233c3d575", "title": "Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization", "addresses": [{"address": "Beijing Jiaotong University", "lat": "39.94976005", "lng": "116.33629046", "type": "edu"}, {"address": "University of Rochester", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2017", "pdf": []}, {"id": "10d6fe566125597195cf985084347139a8cdad1e", "title": "Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}, {"address": "Queen Mary University of London", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu"}, {"address": "Sharif University of Technology", "lat": "35.70362270", "lng": "51.35125097", "type": "edu"}], "year": "2018", "pdf": ["https://haddadi.github.io/papers/ieeeComputer2018hybrid.pdf"]}, {"id": "dc9c0527f8d4461b1742cccc7317fec8dd96d81a", "title": "Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "addresses": [{"address": "Hefei University of Technology", "lat": "31.84691800", "lng": "117.29053367", "type": "edu"}, {"address": "Nanyang Technological University", "lat": "1.34841040", "lng": "103.68297965", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.08373.pdf"]}, {"id": "f7b422df567ce9813926461251517761e3e6cda0", "title": "Face aging with conditional generative adversarial networks", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01983.pdf"]}, {"id": "68573e296f069071d071fc158e974e8bc70c893f", "title": "Effective Deep Multi-source Multi-task Learning Frameworks for Smile Detection, Emotion Recognition and Gender Classification", "addresses": [{"address": "Hanoi University of Science and Technology", "lat": "21.00395200", "lng": "105.84360183", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6857/3e296f069071d071fc158e974e8bc70c893f.pdf"]}, {"id": "cb43519894258b125624dc0df655ab5357b1e42f", "title": "Face Aging with Contextual Generative Adversarial Nets", "addresses": [{"address": "University of Trento", "lat": "46.06588360", "lng": "11.11598940", "type": "edu"}, {"address": "National University of Singapore", "lat": "1.29620180", "lng": "103.77689944", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.00237.pdf"]}, {"id": "d2be07499aea3ef593fae5b2f6cd89fe627f4d98", "title": "Face Aging with Improved Invertible Conditional GANs", "addresses": [{"address": "Xi'an Jiaotong University", "lat": "34.24749490", "lng": "108.97898751", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "70569810e46f476515fce80a602a210f8d9a2b95", "title": "Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Antipov_Apparent_Age_Estimation_CVPR_2016_paper.pdf", "http://www.eurecom.fr/en/publication/4908/download/sec-publi-4908.pdf"]}, {"id": "f519723238701849f1160d5a9cedebd31017da89", "title": "Impact of multi-focused images on recognition of soft biometric traits", "addresses": [{"address": "EURECOM", "lat": "43.61438600", "lng": "7.07112500", "type": "edu"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f519/723238701849f1160d5a9cedebd31017da89.pdf"]}, {"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"]}, {"id": "a0cce54ef20ad75dee4769c2ecaaac690d0eb21d", "title": "Does A Body Image Tell Age?", "addresses": [{"address": "Sun Yat-Sen University", "lat": "23.09461185", "lng": "113.28788994", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "ebb3d5c70bedf2287f9b26ac0031004f8f617b97", "title": "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "addresses": [{"address": "Electrical and Computer Engineering", "lat": "33.58667840", "lng": "-101.87539204", "type": "edu"}, {"address": "University of Maryland", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu"}], "year": "2018", "pdf": []}, {"id": "70c59dc3470ae867016f6ab0e008ac8ba03774a1", "title": "VGGFace2: A Dataset for Recognising Faces across Pose and Age", "addresses": [{"address": "University of Oxford", "lat": "51.75345380", "lng": "-1.25400997", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08092.pdf"]}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"address": "Beijing University of Posts and Telecommunications", "lat": "39.96014880", "lng": "116.35193921", "type": "edu"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"]}, {"id": "717ffde99c0d6b58675d44b4c66acedce0ca86e8", "title": "Age estimation based on face images and pre-trained convolutional neural networks", "addresses": [{"address": "Universit\u00e0 degli Studi di Milano", "lat": "45.47567215", "lng": "9.23336232", "type": "edu"}], "year": "2017", "pdf": ["https://air.unimi.it/retrieve/handle/2434/527428/913482/cisda17.pdf"]}, {"id": "bc99ff149c3c75b90f0110b8e72a9ae1300e29e7", "title": "Unsupervised Learning of Mixture Models with a Uniform Background Component", "addresses": [{"address": "Florida State University", "lat": "30.44235995", "lng": "-84.29747867", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02744.pdf"]}, {"id": "08d41d2f68a2bf0091dc373573ca379de9b16385", "title": "Recursive Chaining of Reversible Image-to-image Translators For Face Aging", "addresses": [{"address": "Aalto University", "lat": "60.18558755", "lng": "24.82427330", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05023.pdf"]}, {"id": "4905323aaf61952e07f62c18fa662c7da895e40e", "title": "Recovering Joint and Individual Components in Facial Data", "addresses": [{"address": "Imperial College London", "lat": "51.49887085", "lng": "-0.17560797", "type": "edu"}], "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/final-tpami-rjive.pdf", "https://www.doc.ic.ac.uk/~ipanagak/pub/jour/J13.pdf"]}, {"id": "0951f42abbf649bb564a21d4ff5dddf9a5ea54d9", "title": "Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "addresses": [{"address": "Institute of Information Science", "lat": "25.04107280", "lng": "121.61475620", "type": "edu"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.02023.pdf"]}, {"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"address": "University of Groningen", "lat": "53.21967825", "lng": "6.56251482", "type": "edu"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"]}, {"id": "7a7fddb3020e0c2dd4e3fe275329eb10f1cfbb8a", "title": "Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "addresses": [{"address": "Tencent", "lat": "22.54471540", "lng": "113.93571640", "type": "company"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07599.pdf"]}]}
\ No newline at end of file |