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| -rw-r--r-- | site/datasets/unknown/adience.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/casia_webface.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/celeba.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/cofw.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/feret.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/images_of_groups.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/imdb_wiki.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/lfw.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/morph.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/morph_nc.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/pipa.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/voc.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/wider_face.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/youtube_faces.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/youtube_makeup.json | 2 |
15 files changed, 15 insertions, 15 deletions
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"http://www.utdallas.edu/~herve/abdi-oyah2005.pdf", "http://www.utdallas.edu/~herve/abdi_jocn2005_in_press.pdf"]}, {"id": "4192454749b4fc4a95348e7260c2f5c56a06cafd", "title": "Image retrieval using efficient feature vectors generated from compressed domain", "year": "2007", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2007/Papers/c3l-f01.pdf"]}, {"id": "84c98f21017db431a902cd20fb0999ce0f872659", "title": "Recognizing distinctive faces: a hybrid-similarity exemplar model account.", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/84c9/8f21017db431a902cd20fb0999ce0f872659.pdf"]}, {"id": "f5001aca394bbe7067db1b65f231c627e286aa4c", "title": "Component-based global k-NN classifier for small sample size problems", "year": "2012", "pdf": []}, {"id": "ff7d2d9762d6ed1ca6b868bc714b72a5f150f3f1", "title": "A comparative study of preprocessing mismatch effects in color image based face recognition", "year": "2011", "pdf": 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Selection of Face Recognition Based on Improved Chaos Genetic Algorithm", "year": "2010", "pdf": []}, {"id": "29a705a5fa76641e0d8963f1fdd67ee4c0d92d3d", "title": "SCface \u2013 surveillance cameras face database", "year": "2009", "pdf": ["http://scface.org/SCface%20-%20Surveillance%20Cameras%20Face%20Database.pdf"]}, {"id": "6264717cccb3baf714974c37a724b652e5294b59", "title": "Local Curvelet Based Classification Using Linear Discriminant Analysis for Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6e5f/665fa867d1666de42a0e940cd4ed165a38bb.pdf"]}, {"id": "f0304ea9943e96e645b8702c2810cca517439465", "title": "Automatic Diagnosis of Diabetic Retinopathy by Hybrid Multilayer Feed Forward Neural Network Ms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f030/4ea9943e96e645b8702c2810cca517439465.pdf"]}, {"id": "7334b3ade39e3bd826bdd9bdae73d176e4a02caf", "title": "Gender Recognition Using Complexity-Aware Local Features", "year": "2014", "pdf": 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2D-Hidden Markov Model approach", "year": "2013", "pdf": []}, {"id": "4430d41c36c731c16020037d25df3dcd237fd863", "title": "IJATRD 2012019 ) THERMAL RECOGNITION IN BIOMETRICS AUTHENTICATION Mr", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4430/d41c36c731c16020037d25df3dcd237fd863.pdf"]}, {"id": "67c78fbef7ebcde1b8c4e42415e595fb78317133", "title": "Optimization of Face Recognition Algorithms for Smartphone Environment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/67c7/8fbef7ebcde1b8c4e42415e595fb78317133.pdf"]}, {"id": "40ef0fba414d41f23d9d8a3b0147cc579285d54b", "title": "Median null(Sw)-based method for face feature recognition", "year": "2013", "pdf": []}, {"id": "41235b815a3a69eb5ef48199e7ea7e98495e56a9", "title": "Learning Discriminative Local Patterns with Unrestricted Structure for Face Recognition", "year": "2013", "pdf": ["http://www.ict.griffith.edu.au/~junzhou/papers/C_DICTA_2013_B.pdf", 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["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w16/papers/Dugelay_ASePPI_Robust_Privacy_CVPR_2017_paper.pdf", "http://www.eurecom.fr/en/publication/5283/download/sec-publi-5283.pdf"]}, {"id": "d3f1b7cd0dfcf76e2011b54040f724c3573a6ccd", "title": "Fast Group Verification System for Intelligent Robot Service", "year": "2007", "pdf": []}, {"id": "0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad", "title": "Subspace Learning from Image Gradient Orientations", "year": "2012", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/subspace_igo.pdf"]}, {"id": "384f972c81c52fe36849600728865ea50a0c4670", "title": "Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"]}, {"id": "816283d4313775c8a659edce08e5e10d75a338b3", "title": "FINDING STRUCTURE WITH RANDOMNESS : STOCHASTIC ALGORITHMS FOR CONSTRUCTING APPROXIMATE MATRIX DECOMPOSITIONS", "year": "2009", "pdf": 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discriminant analysis better than matrix-based?", "year": "2008", "pdf": ["http://www.eecs.qmul.ac.uk/~jason/Research/PreprintVersion/1D-LDA%20vs.%202D-LDA%20When%20is%20vector-based%20linear%20discriminant%20analysis%20better%20than%20matrix-based.pdf"]}, {"id": "8606b6cc617968026a492da963d151f2a5def5e8", "title": "Dynamic Laplacian Principle Component Analysis on Objective Space", "year": "2008", "pdf": []}, {"id": "32b33aa8b5f5f26487b7bf39c3da16e5deec25c4", "title": "Scale Normalized Radial Fourier Transform as a Robust Image Descriptor", "year": "2014", "pdf": []}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": []}, {"id": "492ad82db287f3dca28c42e10da2dd98d3397bb1", "title": "Robust face recognition using wavelet transform and autoassociative neural network", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/492a/d82db287f3dca28c42e10da2dd98d3397bb1.pdf", 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"1ee9598f88f40dabb70965a74eed87aedb276171", "title": "Face recognition using Histogram of co-occurrence Gabor phase patterns", "year": "2013", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjhy/gh106.pdf"]}, {"id": "ee6474bde6fa652ea14ba1a0f29ee551c3a1d5f5", "title": "Kernel inverse Fisher discriminant analysis for face recognition", "year": "2014", "pdf": []}, {"id": "305cfba1e9be3f0bef1f0474a6fa86f76462087e", "title": "Sparse Low-Rank Matrix Approximation for Data Compression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.01673.pdf"]}, {"id": "354ddc8976a762ee03fb78b73adc3b5312e5f2a5", "title": "Accurate Eye Center Location through Invariant Isocentric Patterns", "year": "2012", "pdf": ["https://staff.fnwi.uva.nl/th.gevers/pub/GeversPAMI12.pdf"]}, {"id": "e73c0482c4f2e30a65affc189f6f3df6f2751a20", "title": "Combining local face image features for identity verification", "year": "2011", "pdf": 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Sensor Positioning for Automated and Persistent Surveillance", "year": "2010", "pdf": ["http://imaging.utk.edu/publications/papers/2010/yy-smc10.pdf", "https://www.imaging.utk.edu/publications/papers/2010/yy-smc10.pdf"]}, {"id": "2dde7c6740577b8326db4e606c0205f60fd19ee4", "title": "Efficient statistical face recognition across pose using Local Binary Patterns and Gabor wavelets", "year": "2009", "pdf": []}, {"id": "044600cc4b93bb0504e8d72a5476d16f1a61a107", "title": "Discriminant Analysis of Principal Components for Face Recognition", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/0446/00cc4b93bb0504e8d72a5476d16f1a61a107.pdf"]}, {"id": "f337bbee95772584e5e082bbffa67ac184d79155", "title": "Automatic extraction of face contours in images and videos", "year": "2012", "pdf": []}, {"id": "190d8bd39c50b37b27b17ac1213e6dde105b21b8", "title": "Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation", "year": "2011", "pdf": []}, {"id": "16d84109fbfad8fc25dad8a52f95aab56fd49f18", "title": "Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios", "year": "2008", "pdf": ["http://elsevierscitech.com/tmpl_img/PatRec.pdf"]}, {"id": "958b737459ad41d828a720896030aa0ffc01f43e", "title": "Locating head and face boundaries for head-shoulder images", "year": "1999", "pdf": ["http://perso.ensta-paristech.fr/~manzaner/Cours/Ese42/Proj_Visages/Hu1999.pdf"]}, {"id": "b29d70f38bd4759cd9d8c2fdc9312f7f807f4fa9", "title": "Face Recognition in Subspaces", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/b0f3/532a3c071d706399e52b474b2335ec8e7a19.pdf"]}, {"id": "fdebde7926e87dbfb6e73dd4f8324ad2ec45d7a6", "title": "Image Segmentation for Biometric Identification Systems", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/fdeb/de7926e87dbfb6e73dd4f8324ad2ec45d7a6.pdf"]}, {"id": "20a88cc454a03d62c3368aa1f5bdffa73523827b", "title": "Face recognition using a kernel fractional-step discriminant analysis algorithm", "year": "2007", "pdf": ["http://repository.ust.hk/ir/bitstream/1783.1-2970/1/yeung.pr2007a1.pdf", "http://www.cs.ust.hk/faculty/dyyeung/paper/pdf/yeung.pr2007a.pdf", "http://www.cs.ust.hk/~dyyeung/paper/pdf/yeung.pr2007a.pdf"]}, {"id": "b219a0ecf987f1500042b7cb4da174f361eaadf3", "title": "Face Recognition of Different Modalities Using SIFT and LBP Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c72c/7fe2f16dc827ab994fd0bdfa80aca2c82ce7.pdf"]}, {"id": "99cf068a2c453785ebd1b109ccfa158bd3b62803", "title": "Racial stereotypes and interracial attraction: phenotypic prototypicality and perceived attractiveness of Asians.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/99cf/068a2c453785ebd1b109ccfa158bd3b62803.pdf"]}, {"id": "c1545782d49ae3cfd680b91caeb4b30042938416", "title": "Sparse two-dimensional singular value decomposition", "year": "2016", "pdf": []}, {"id": "2e1a1deb7dccff41fca7447364d6748bf362fb70", "title": "A topographical nonnegative matrix factorization algorithm", "year": "2013", "pdf": ["http://geza.kzoo.edu/~erdi/IJCNN2013/HTMLFiles/PDFs/P143-1244.pdf"]}, {"id": "87ba4cce558c2defde90f4b42853262fd572ca3e", "title": "Silhouette estimation.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/87ba/4cce558c2defde90f4b42853262fd572ca3e.pdf"]}, {"id": "fbd12d85742c08647f5646bf6dfd239732f471e5", "title": "Learning the kernel matrix by maximizing a KFD-based class separability criterion", "year": "2007", "pdf": ["http://www.cs.ust.hk/~dyyeung/paper/pdf/yeung.pr2007b.pdf", "http://www.cse.ust.hk/~dyyeung/paper/pdf/yeung.pr2007b.pdf", "http://www.researchgate.net/profile/Dit-Yan_Yeung/publication/222818847_Learning_the_kernel_matrix_by_maximizing_a_KFD-based_class_separability_criterion/links/00b7d51791d16f0529000000.pdf"]}, {"id": "288c03d30821d5b12754c8f21bcd76a76dd4a6fb", "title": "Feature-based Face Detection Against Skin-color Like Backgrounds with Varying Illumination", "year": 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["http://www.cs.jhu.edu/~andyjhma/publications/RADMFinal.pdf"]}, {"id": "38bdcf2f1abf8e0e1d5bcfcee83324d4d21ba93d", "title": "Face hallucination via position-based dictionaries coding in kernel feature space", "year": "2014", "pdf": []}, {"id": "2542a1e7b005d5fe6b60aed0c4927e8b87d4b14e", "title": "Multiscale Feature Fusion for Face Identification", "year": "2017", "pdf": []}, {"id": "eedd405b9c44da778ed3246ec3df2d5b26ca0f7f", "title": "Multiple features facial image retrieval by spectral regression and fuzzy aggregation approach", "year": "2011", "pdf": []}, {"id": "f4373f5631329f77d85182ec2df6730cbd4686a9", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"]}, {"id": "529e2ce6fb362bfce02d6d9a9e5de635bde81191", "title": "Normalization of Face Illumination Based on Large-and Small-Scale Features", "year": "2011", "pdf": 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"0c0b33baf60c787b3361a2671ae9aa077545b845", "title": "A meta-analysis of face recognition covariates", "year": "2009", "pdf": ["http://www.cs.colostate.edu/~draper/papers/lui_btas09.pdf", "http://www.cs.colostate.edu/~ross/research/papers/yr2009/btas09meta.pdf", "http://www.cs.colostate.edu/~vision/publications/btas09lui.pdf"]}, {"id": "0c926122bdfd45bbaeec8c4d8a1aa85d4d033876", "title": "Combined Fisherfaces framework", "year": "2003", "pdf": ["http://www.cistib.org/gestpub/attachments/Combined%20Fisherfaces%20framework.pdf-f5791c5b649d7b41cabdb5464fa7729a.pdf", "https://www.dtic.upf.edu/~afrangi/articles/ivc2003.pdf"]}, {"id": "dc9a6a821689de877bd07e970e52d4cdb1dd2714", "title": "Transfer of gender aftereffects in face silhouettes reveals face-specific mechanisms", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/dc9a/6a821689de877bd07e970e52d4cdb1dd2714.pdf"]}, {"id": "a72f4c3ec0699675e3050900a98434402b221b16", "title": "Latent face model for across-media face recognition", "year": "2016", "pdf": []}, {"id": "7bd37e6721d198c555bf41a2d633c4f0a5aeecc1", "title": "Fusing Local Patterns of Gabor and Non-subsampled Contourlet Transform for Face Recognition", "year": "2013", "pdf": []}, {"id": "305e9283f2f2ec0e1107469ec35964fad0c7bf06", "title": "Video-based face model fitting using Adaptive Active Appearance Model", "year": "2010", "pdf": ["http://cse.msu.edu/~liuxm/publication/Liu_AAAM.pdf", "http://web.cse.msu.edu/~liuxm/publication/Liu_AAAM.pdf"]}, {"id": "c90fccd1a1e928fcdc6940a7a616755b9b26ad36", "title": "Combination of two novel LDA-based methods for face recognition", "year": "2007", "pdf": []}, {"id": "98a660c15c821ea6d49a61c5061cd88e26c18c65", "title": "Face Databases for 2 D and 3 D Facial Recognition : A Survey", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/98a6/60c15c821ea6d49a61c5061cd88e26c18c65.pdf"]}, {"id": "35457de70ea13415b8abd3898a4a83021946501f", "title": "Learning Robust and Discriminative Subspace With Low-Rank Constraints", "year": "2016", "pdf": ["https://core.ac.uk/download/pdf/81224174.pdf"]}, {"id": "930b3472592ced6665cd630be7ae57d4abb8b4b1", "title": "Development of two novel face-recognition CAPTCHAs: A security and usability study", "year": "2016", "pdf": ["https://epub.uni-regensburg.de/33570/1/CAPTCHA_Usability.pdf"]}, {"id": "8ec6f729e2c7c81333f3f7b13377cc7e93a61394", "title": "Face Recognition Based on SVM and 2DPCA", "year": "2011", "pdf": ["https://arxiv.org/pdf/1110.5404.pdf"]}, {"id": "a9af0dc1e7a724464d4b9d174c9cf2441e34d487", "title": "Gabor-scale binary pattern for face recognition", "year": "2016", "pdf": []}, {"id": "27e709efabeb2548b789f3c9f45a426997c6147c", "title": "The neural correlates of memory encoding and recognition for own-race and other-race faces", "year": "2011", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/71408.pdf", "http://psych.colorado.edu/~tcurran/Herzmann_et_al_2011--Neuropsychologia.pdf", "http://tdlc.ucsd.edu/SV2012/Pubs/Herzmann_Willenbockel_Tanaka_Curran_Neuropsychologia.pdf"]}, {"id": "d7d09323bf8226f9cc06402dc3026fd4f1e75859", "title": "BDPCA plus LDA: a novel fast feature extraction technique for face recognition", "year": "2006", "pdf": ["http://ira.lib.polyu.edu.hk/bitstream/10397/240/1/SMCB_C_36_4_06.pdf"]}, {"id": "763d9eef06b454d722c88ffab8dfb9538a57c06b", "title": "Audio-video biometric recognition for non-collaborative access granting", "year": "2009", "pdf": ["https://users.dimi.uniud.it/~christian.micheloni/papers/journals/MICHJVLC09.pdf"]}, {"id": "80345fbb6bb6bcc5ab1a7adcc7979a0262b8a923", "title": "Soft Biometrics for a Socially Assistive Robotic Platform", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4569/f8e017af1e052b075d8a267116a8b795bd84.pdf"]}, {"id": "62da5876fbc5b6abe467891fc71b68173e6ad061", "title": "Heterogeneous Face Recognition Using Kernel Prototype Similarities", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KlareJain_HeterogeneousFR_KernelPrototypeSimilarities_PAMI11.pdf", "http://biometrics.cse.msu.edu/Publications/Face/KlareJain_HeterogeneousFR_KernelPrototypeSimilarities_PAMI13.pdf"]}, {"id": "4aff9eebbf4680ac8cdc2edcf650e4c467ce633c", "title": "Synthesis and Recognition of Face Profiles", "year": "2003", "pdf": []}, {"id": "da7f6d85e7843bd57d43f1e97ae93384420cd78d", "title": "Face Recognition by Regularized Discriminant Analysis", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/da7f/6d85e7843bd57d43f1e97ae93384420cd78d.pdf"]}, {"id": "474b6593d37c9c6547e2f0fcbfa8a9866b5cccd6", "title": "The Iteration-Tuned Dictionary for sparse representations", "year": "2010", "pdf": ["http://www.irisa.fr/temics/publis/2010/bitd_mmsp_embbeded.pdf"]}, {"id": "0021e292c9d8fd19f5edd1cde5bc99c112f1992d", "title": "Fast multi-scale local phase quantization histogram for face recognition", "year": "2012", "pdf": ["http://nlpr-web.ia.ac.cn/2012papers/gjkw/gk59.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk59.pdf"]}, {"id": "b13c28b35571627162cf46765821c739a7dc2d62", "title": "The Visual Object Tracking VOT2013 Challenge Results", "year": "2013", "pdf": ["http://epubs.surrey.ac.uk/808968/1/Kristan_VOT_2013_ICCV_paper.pdf", "http://liu.diva-portal.org/smash/get/diva2:850764/FULLTEXT02.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w09/W9-01.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W03/papers/Kristan_The_Visual_Object_2013_ICCV_paper.pdf"]}, {"id": "4afced9cea17d379f0a84156f2b726de7b3f1007", "title": "A Window of Opportunity for Cognitive Training in Adolescence", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d7f/2c6ac28a1d45b09cfce1da6c01538d038d23.pdf"]}, {"id": "b9cedd1960d5c025be55ade0a0aa81b75a6efa61", "title": "Inexact Krylov Subspace Algorithms for Large Matrix Exponential Eigenproblem from Dimensionality Reduction", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.06500.pdf"]}, {"id": "3f4137c23193bd853d8319620f85fd11b591dbf4", "title": "Remarks on BioHashing based cancelable biometrics in verification system", "year": "2006", "pdf": []}, {"id": "b1290dff343ae4980e3e853055ad9a5b9116238b", "title": "Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape", "year": "2013", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Gender%20Classification%20Based%20on%20Fusion%20of%20Different%20Spatial%20Scale%20Features%20Selected%20by%20Mutual%20Information%20From%20Histogram%20of%20LBP,%20Intensity,%20and%20Shape%20.pdf"]}, {"id": "38c7f80a1e7fa1bdec632042318dc7cdd3c9aad4", "title": "Hierarchical Skin-AdaBoost-Neural Network (H-SKANN) for multi-face detection", "year": "2018", "pdf": []}, {"id": "fe5b731604bf7da5e64fcea99b065c6c54474504", "title": "Solving the face growth problem in the biometrie face recognition using Photo-Anthropometric ratios by iris normalization", "year": "2018", "pdf": []}, {"id": "6ef6e6e8b295c90ab9390f07d91c9ef8304a409d", "title": "Preserving privacy by de-identifying face images", "year": "2005", "pdf": ["http://arbor.ee.ntu.edu.tw/archive/ppdm/Heuristics/NewtonPP05.pdf", "https://cs.gmu.edu/~jpsousa/classes/699/papers/Newton-De-identifyingFaces-KDE2005.pdf"]}, {"id": "a3b183d041f8f3e90a2cf904eaab544070216367", "title": "Gabor Ordinal Measures for Face Recognition", "year": "2014", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjkw/gk69.pdf", "http://www.researchgate.net/profile/Zhenhua_Chai3/publication/258908540_Gabor_Ordinal_Measures_for_Face_Recognition/links/0f31752fcb424798fa000000.pdf", "https://pdfs.semanticscholar.org/a3b1/83d041f8f3e90a2cf904eaab544070216367.pdf"]}, {"id": "9d1ac83b18dd3cb4714d8b08cf27e7417bb2ccf8", "title": "Being bored? 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"http://parnec.nuaa.edu.cn/papers/journal/2006/xtan-PR06.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/pr06.pdf"]}, {"id": "e4f3e0951fd66abe3b5dfbca88f676df82846214", "title": "Automatic age classification with LBP", "year": "2008", "pdf": []}, {"id": "c85adcc3cc2f3ab27def7e1c615b52ac182dde80", "title": "Improving face gender classification by adding deliberately misaligned faces to the training data", "year": "2008", "pdf": ["http://researchcommons.waikato.ac.nz/bitstream/handle/10289/2172/facegenderclass.pdf?sequence=1"]}, {"id": "4e93a8a47473bf57e24aec048cb870ab366a43d6", "title": "Face authentication for multiple subjects using eigenflow", "year": "2003", "pdf": ["http://chenlab.ece.cornell.edu/Publication/TechnicalReports/tr01_05.pdf", "http://chenlab.ece.cornell.edu/Publication/Xiaoming/PR_eigenflow_xiaoming.pdf", "http://cse.msu.edu/~liuxm/publication/PR_biometric.pdf"]}, {"id": "6c091c3bd625b3c838831d797c66eae6c8f280cc", "title": "Apperance-Based Tracking and Face Identification in Video Sequences", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/6c09/1c3bd625b3c838831d797c66eae6c8f280cc.pdf"]}, {"id": "05f1c38ae248e626be99354db4b7fb7f7289bd1e", "title": "Multi-scale Local Binary Pattern histogram for gender classification", "year": "2015", "pdf": []}, {"id": "f3dc0852ba430519ffa7e383a5c5e5bf1a47b19d", "title": "Feature Extraction and Representation for Face Recognition", "year": "2010", "pdf": ["http://cdn.intechopen.com/pdfs/10199/InTech-Feature_extraction_and_representation_for_face_recognition.pdf"]}, {"id": "36688a79cc8926f489ccb6e6dadba15afbb4b6a4", "title": "Linear discriminant analysis for the small sample size problem: an overview", "year": "2015", "pdf": ["https://maxwell.ict.griffith.edu.au/spl/publications/papers/ijmlc14_lda_review.pdf", "https://maxwell.ict.griffith.edu.au/spl/publications/papers/ijmlc15_lda_review.pdf", "https://research-repository.griffith.edu.au/bitstream/handle/10072/101329/SharmaPUB407.pdf?isAllowed=y&sequence=1"]}, {"id": "f6567671cc9d204c1dd1322e9c49d2053ed734c5", "title": "A REVIEW OF VISION BASED HAND GESTURES RECOGNITION", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f656/7671cc9d204c1dd1322e9c49d2053ed734c5.pdf"]}, {"id": "f6dabb4d91bf7389f3af219d486d4e67cec18c17", "title": "Vector projection for face recognition", "year": "2014", "pdf": []}, {"id": "781d3550f54f3b4bfbd99ca9957aba6d6dec990e", "title": "Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification", "year": "2012", "pdf": ["http://eprints.nottingham.ac.uk/31423/1/tzimiroTNN12.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/reg_klda.pdf"]}, {"id": "a729d0243b1e3b055f44248a32b3caf20b7e93be", "title": "XJU1: A Chinese Ethnic Minorities Face Database", "year": "2017", "pdf": []}, {"id": "e94168c35be1d4b4d2aaf42ef892e64a3874ed8c", "title": "Two-Dimensional Maximum Margin Feature Extraction for Face Recognition", "year": "2009", "pdf": []}, {"id": "6a3100af83e98c76c2bfe26ef61bffd289f64862", "title": "A novel semi-supervised learning for face recognition", "year": "2015", "pdf": []}, {"id": "31d007eda3aca9c5114559ddd1f80c5275f3a84f", "title": "A Suitable Adaptive Illumination Compensation Method for Face Detection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/31d0/07eda3aca9c5114559ddd1f80c5275f3a84f.pdf"]}, {"id": "88f2952535df5859c8f60026f08b71976f8e19ec", "title": "A neural network framework for face recognition by elastic bunch graph matching", "year": "", "pdf": ["https://pdfs.semanticscholar.org/88f2/952535df5859c8f60026f08b71976f8e19ec.pdf"]}, {"id": "d8bf32e0936bae857cbca669f3ebf21455cf9d10", "title": "Face recognition using FLDA with single training image per person", "year": "2008", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/AMC_08_Nov.pdf"]}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"]}, {"id": "c46759303c4922d6319faed14462751ec689752f", "title": "Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification", "year": "2016", "pdf": ["http://www.yongxu.org/paper/Approximately%20symmetrical%20face%20images%20for%20image%20preprocessing%20in%20face%20recognition%20and%20sparse%20representation%20based%20classification.pdf"]}, {"id": "5bcce11db01aced72e17a4b7ec8633088dc46e72", "title": "VULNERABILITIES AND ATTACK PROTECTION IN SECURITY SYSTEMS BASED ON BIOMETRIC RECOGNITION \u2013TESIS DOCTORAL\u2013 VULNERABILIDADES Y PROTECCIO\u0301N FRENTE A ATAQUES EN SISTEMAS DE SEGURIDAD BASADOS EN RECONOCIMIENTO BIOME\u0301TRICO", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/a323/9de6f4c300b135d5c417890ab68be8e90801.pdf"]}, {"id": "1f47a13548317602ec76eafbea44d7b39926c4cd", "title": "Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07184.pdf"]}, {"id": "597fd0ba70a6ff2f414b76822a204d6a46334b2c", "title": "FINGERPRINT AND FACE IMAGE RECOGNITION", "year": "2011", "pdf": []}, {"id": "fafa7bbd6b37dc97237155654e1a4d1f1aba70f8", "title": "Radial Basis Function Neuroscaling Algorithms for Efficient Facial Image Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fafa/7bbd6b37dc97237155654e1a4d1f1aba70f8.pdf"]}, {"id": "f6a050314881488d0f6653c0c6883937a722eff5", "title": "Retina Recognition Based on Fractal Dimension", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f6a0/50314881488d0f6653c0c6883937a722eff5.pdf"]}, {"id": "5479da1038a530beb760a38dbb5b08947dfaefbd", "title": "Fusing continuous spectral images for face recognition under indoor and outdoor illuminants", "year": "2008", "pdf": ["http://imaging.utk.edu/publications/papers/2010/mva_hc.pdf", "https://www.imaging.utk.edu/publications/papers/2010/mva_hc.pdf"]}, {"id": "8e94ed0d7606408a0833e69c3185d6dcbe22bbbe", "title": "For your eyes only", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_wacv2012_eyes.pdf"]}, {"id": "afaa607aa9ad0e9dad0ce2fe5b031eb4e525cbd8", "title": "Towards an automatic face indexing system for actor-based video services in an IPTV environment", "year": "2010", "pdf": ["http://dspace.kaist.ac.kr/bitstream/10203/24882/1/61.pdf", "http://koasas.kaist.ac.kr/bitstream/10203/24882/1/61.pdf"]}, {"id": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "pdf": []}, {"id": "f2c02911297245fbb31cafd6bb6cbbd51af5a32d", "title": "Robust score normalization for relational approaches to face authentication", "year": "2004", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2004/defevent/papers/cr1380.pdf", "http://www.eurecom.fr/en/publication/1390/download/mm-perrfl-040906.pdf"]}, {"id": "1a47f12a2490f6775c0ad863ac856de27f5b3e03", "title": "An \u21132/\u21131 regularization framework for diverse learning tasks", "year": "2015", "pdf": []}, {"id": "8e351b3a0beaf62d8e1f8f879451f06577f9d04f", "title": "Contourlet-Based Feature Extraction with PCA for Face Recognition", "year": "2008", "pdf": []}, {"id": "25c304868ad936a73fead95d9b17e7b46025764d", "title": "A Rank-One Update Algorithm for Fast Solving Kernel Foley\u2013Sammon Optimal Discriminant Vectors", "year": "2010", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2010/tnn10_rank1.pdf", "http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2010-TNN-KFSOVD.pdf", "https://pdfs.semanticscholar.org/25c3/04868ad936a73fead95d9b17e7b46025764d.pdf"]}, {"id": "787cdc730b35e380f0d33aa1b3428f3b3b1666e3", "title": "Study on Color Spaces for Single Image Enrolment Face Authentication", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Baptiste_Hemery/publication/220928020_Study_on_Color_Spaces_for_Single_Image_Enrolment_Face_Authentication/links/00b4951502713eaa04000000.pdf"]}, {"id": "ae8e0da37ca76063c74fefd1bade3a2ad3e6ecfc", "title": "Car recognition based on back lights and rear view features", "year": "2009", "pdf": []}, {"id": "22b4bd52b99cf08c188ead1e5aec87e242f095dd", "title": "Pose VariantFace Recognition Based on Linear Mapping", "year": "2018", "pdf": []}, {"id": "c5e089ea32790a16a30b986f6d5c9583a346e143", "title": "High-Order Circular Derivative Pattern for Image Representation and Recognition", "year": "2010", "pdf": ["http://www98.griffith.edu.au/dspace/bitstream/handle/10072/36156/64987_1.pdf?sequence=1"]}, {"id": "ae8240095c9cca2c395f173fece2f46277b94929", "title": "Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition", "year": "2017", "pdf": []}, {"id": "d723b1242e45b041d254bb85e5f69c0d96ca7daf", "title": "Robust face recognition using 2D and 3D data: Pose and illumination compensation", "year": "2005", "pdf": ["http://www.iti.gr/files/pr2005face.pdf", "https://pdfs.semanticscholar.org/d723/b1242e45b041d254bb85e5f69c0d96ca7daf.pdf"]}, {"id": "28312c3a47c1be3a67365700744d3d6665b86f22", "title": "Face recognition: A literature survey", "year": "2003", "pdf": []}, {"id": "2d039aa3c8d64ca6054c96a49d250e18caf62b82", "title": "A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL", "year": "2007", "pdf": []}, {"id": "bbf49e0dc67663b2d116eebdae93abb0f276ac8a", "title": "Face hallucination based on morphological component analysis", "year": "2013", "pdf": ["http://web.siat.ac.cn/~xiaohua/paper/Face%20hallucinationbasedonmorphologicalcomponentanalysis.pdf"]}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": ["http://acberg.com/papers/kbbn09iccv.pdf", "http://neerajkumar.org/publications/base/papers/nk_iccv2009_attrs.pdf", "http://www.tamaraberg.com/teaching/Fall_13/papers/iccv09.pdf"]}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"]}, {"id": "0cf9f33546917e2d0edec03037f1a084d75f917b", "title": "Variable length dominant Gabor local binary pattern (VLD-GLBP) for face recognition", "year": "2014", "pdf": []}, {"id": "01d94d568447075d9f32f6c1e7af9255188a6938", "title": "A biometric database with rotating head videos and hand-drawn face sketches", "year": "2009", "pdf": ["http://www.csee.usf.edu/~scanavan/papers/BTAS09.pdf"]}, {"id": "3d264c9426fc52aff381f9ecbaf36bf62bebe3c9", "title": "A Multiple Maximum Scatter Difference Discriminant Criterion for Facial Feature Extraction", "year": "2007", "pdf": ["http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/229/1/SMCB_C_37_6_07.pdf", "https://pdfs.semanticscholar.org/3d26/4c9426fc52aff381f9ecbaf36bf62bebe3c9.pdf"]}, {"id": "aa5a78afb6e66f95a72b97a01ed1564de9669ccb", "title": "A performance driven methodology for cancelable face templates generation", "year": "2010", "pdf": []}, {"id": "cebf73d590e0c0021f09bdbd59778bd574e96da7", "title": "First Impressions and the Reference Encounter : The In fl uence of Affect and Clothing on Librarian Approachability", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cebf/73d590e0c0021f09bdbd59778bd574e96da7.pdf"]}, {"id": "3c78a53fd212b80ac7e61e7713d39e458abbb026", "title": "Partial least squares on graphical processor for efficient pattern recognition", "year": "2010", "pdf": []}, {"id": "e054291cbf250592d032722b99c414c2e4741c03", "title": "A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction", "year": "2006", "pdf": ["http://research.ics.aalto.fi/cbir/papers/icann2006roz-old.pdf", "https://pdfs.semanticscholar.org/e054/291cbf250592d032722b99c414c2e4741c03.pdf"]}, {"id": "ed3f32f4a6bc3524595db621fa5f6c61cf4b7497", "title": "Gabor-HOG Features based Face Recognition Scheme", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ed3f/32f4a6bc3524595db621fa5f6c61cf4b7497.pdf"]}, {"id": "641f0989b87bf7db67a64900dcc9568767b7b50f", "title": "Reconstructing faces from their signatures using RBF regression", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e25a/6836e5f5dc6cf691cd9c42224c0f7f4bb42c.pdf"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "year": "2016", "pdf": []}, {"id": "2c5c89103605c6f0ed8924778526133dfa064a16", "title": "Blurred face recognition algorithm guided by a no-reference blur metric", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2c5c/89103605c6f0ed8924778526133dfa064a16.pdf"]}, {"id": "08c1f8f0e69c0e2692a2d51040ef6364fb263a40", "title": "Beyond Eigenfaces: Probabilistic Matching for Face Recognition", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/abaf/d6362120d01979c77f0fd2a4fab234a4368d.pdf"]}, {"id": "439ec47725ae4a3660e509d32828599a495559bf", "title": "Facial Expressions Tracking and Recognition : Database Protocols for Systems Validation and Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/439e/c47725ae4a3660e509d32828599a495559bf.pdf"]}, {"id": "b5dd744df6de73bd072b18d9108b79431a28c539", "title": "Gait Recognition With Shifted Energy Image and Structural Feature Extraction", "year": "2012", "pdf": ["http://bura.brunel.ac.uk/bitstream/2438/8967/2/Fulltext.pdf"]}, {"id": "c1b90cf91837628c430a796e7b6be6d8c010cc43", "title": "Local Steerable Pyramid Binary Pattern Sequence LSPBPS for face recognition method", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0553/ea780eac70eb10f1022cd1886d0ee5a7c0c4.pdf"]}, {"id": "0cede3b170369d53181d5b67c3baaec0e2bbfee4", "title": "Prediction of eigenvalues and regularization of eigenfeatures for human face verification", "year": "2010", "pdf": ["http://www3.ntu.edu.sg/home/EXDJiang/JiangX.D.-PRL-10.pdf", "https://www.researchgate.net/profile/Xudong_Jiang3/publication/220645023_Prediction_of_eigenvalues_and_regularization_of_eigenfeatures_for_human_face_verification/links/0046351ef2d1bc4032000000.pdf"]}, {"id": "79150c5938946a8dcb39d32f0c47f99cf6746679", "title": "Face Recognition by Discriminant Analysis with Gabor Tensor Representation", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/636f/c637a5896300851210ce753e9e46b4d065d9.pdf"]}, {"id": "0c286be42e734c2469563e189d7a8b11155386d5", "title": "ABSTRACT Title of Dissertation: GAIT AS A BIOMETRIC FOR PERSON IDENTIFICATION IN VIDEO", "year": "2002", "pdf": 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Recognition", "year": "2012", "pdf": []}, {"id": "9a1246da9730ddda1f982a668816b501791a2a64", "title": "Bionic Face Recognition Using Gabor Transformation", "year": "2010", "pdf": []}, {"id": "5ba51674897afa2a1bc0646fddada7510bd9c0ce", "title": "Video-based face recognition evaluation in the CHIL project - Run 1", "year": "2006", "pdf": ["http://isl.anthropomatik.kit.edu/pdf/Ekenel2006b.pdf"]}, {"id": "1549771a3d7ddb3ce2b65e4685f617a0ecfc9823", "title": "Boosted of Haar-like Features and Local Binary Pattern Based Face Detection", "year": "2009", "pdf": ["http://www.researchgate.net/profile/Bac_Le3/publication/224567873_Boosted_of_Haar-like_Features_and_Local_Binary_Pattern_Based_Face_Detection/links/0deec5328187835f89000000.pdf"]}, {"id": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": 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single sample face recognition in unconstrained environments", "year": "2016", "pdf": []}, {"id": "64378b2694db5a4d6cdcab831822a27df3b2765a", "title": "Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition", "year": "2006", "pdf": ["http://nlpr-web.ia.ac.cn/2006papers/gjhy/gh57.pdf"]}, {"id": "3ee4076041fe2412d50e84d6778a974d997d8660", "title": "FACE RECOGNITION BASED ON OPTIMAL KERNEL MINIMAX PROBABILITY MACHINE", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3ee4/076041fe2412d50e84d6778a974d997d8660.pdf"]}, {"id": "9c1325d24e72861ad35c6ba3d066ae9919c10876", "title": "(2D)2PCALDA: An efficient approach for face recognition", "year": "2009", "pdf": []}, {"id": "b372432ccd4c9cf169b1eee2adadae074eb3a3fd", "title": "Hallucinating face by position-patch", "year": "2010", "pdf": ["http://download.xuebalib.com/xuebalib.com.3564.pdf"]}, {"id": "76dff7008d9b8bf44ec5348f294d5518877c6182", "title": "Discrete area filters in accurate detection of faces and facial 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Contact book", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c791/682fa3f716401bca46c6e9a2af495b0d9d51.pdf"]}, {"id": "558fd79d8f0d7b05c3db32b8efa0cce4bd5d9970", "title": "Biometrics at the frontiers , assessing the impact on Society Technical impact of Biometrics", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/558f/d79d8f0d7b05c3db32b8efa0cce4bd5d9970.pdf"]}, {"id": "fdb0472af94a726897c20b6b181c6d71ee293e71", "title": "Quality assessment of image-based biometric information", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fdb0/472af94a726897c20b6b181c6d71ee293e71.pdf"]}, {"id": "f7101d092537f1bb92678c74e771209332a0e259", "title": "Regression based automatic face annotation for deformable model building", "year": "2011", "pdf": ["http://ci2cv.net/media/papers/2011_PR_Asthana.pdf"]}, {"id": "7f9f4f2f36fec39b50f745be8852feef110eb25d", "title": "Piecewise Regularized Canonical Correlation Discrimination for Low-Resolution Face Recognition", "year": 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"http://www.comm.toronto.edu/~kostas/Publications2008/pub/78.pdf", "http://www.comm.utoronto.ca/~kostas/Publications2008/pub/78.pdf", "http://www.dsp.toronto.edu/juwei/Publication/BoostingLDAv13.pdf"]}, {"id": "05b8673d810fadf888c62b7e6c7185355ffa4121", "title": "A Comprehensive Survey to Face Hallucination", "year": "2013", "pdf": ["http://www.tpbin.com/Uploads/Subjects/6153ac35-26a8-4179-9cf9-368614e71179.pdf", "https://nannanwang.github.io/My_Papers/IJCV2013.pdf", "https://pdfs.semanticscholar.org/05b8/673d810fadf888c62b7e6c7185355ffa4121.pdf"]}, {"id": "0e4fa61871755b5548a5c970c8103f7b2ada24f3", "title": "Partial Face Recognition Based on Template Matching", "year": "2015", "pdf": []}, {"id": "3ec860cfbd5d953f29c43c4e926d3647e532c8b0", "title": "Gabor-Based Region Covariance Matrices for Face Recognition", "year": "2008", "pdf": []}, {"id": "bbb6491e515f6fe35841af2b88edee09b07b00f5", "title": "Kernel-based nonlinear discriminant analysis for face recognition", "year": "2003", "pdf": []}, {"id": "3abf8e5f1f5778b99890b193de59a3a9031e3691", "title": "Revisiting Linear Discriminant Techniques in Gender Recognition", "year": "2011", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/pami2011.pdf"]}, {"id": "4ff20e3d56a985640d4a15dd75f04648050f0938", "title": "A novel two-stage weak classifier selection approach for adaptive boosting for cascade face detector", "year": "2013", "pdf": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"]}, {"id": "5fce9d893a40c4e0f2ae335b2e68bfd02f1cb2c6", "title": "A Methodology for Detecting Faces from Different Views", "year": "2012", "pdf": []}, {"id": "98a60b218ff8addaf213e97e2f4b54d39e45f5b9", "title": "Benchmarking Real World Object Recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/98a6/0b218ff8addaf213e97e2f4b54d39e45f5b9.pdf"]}, {"id": "2ee7bf7d0466fca7b6968d5652ed924cd9e86e38", "title": "Performance evaluation of road detection and following systems", "year": "2002", "pdf": []}, {"id": "e62519d3041cb445d33f144f8adbe59ca201978e", "title": "A Novel Encoding Scheme for Effective Biometric Discretization: Linearly Separable Subcode", "year": "2013", "pdf": []}, {"id": "a0ebe46668f15092c23dafce65d85319461e95c8", "title": "Parts-based object detection using multiple views", "year": "2005", "pdf": []}, {"id": "5ab2791fbd8d39d02eb8ee76b0f03f5d64371309", "title": "A Methodology for Empirical Performance Evaluation of Page Segmentation Algorithms Song Mao and Tapas Kanungo a Methodology for Empirical Performance Evaluation of Page Segmentation Algorithms", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/5ab2/791fbd8d39d02eb8ee76b0f03f5d64371309.pdf"]}, {"id": "0d6008f2b2e198e9eac44e8ad68e590cf6b41c57", "title": "Human and chimpanzee face recognition in chimpanzees (Pan troglodytes): role of exposure and impact on categorical perception.", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/0d60/08f2b2e198e9eac44e8ad68e590cf6b41c57.pdf"]}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"]}, {"id": "cb3ab7ca2cda0a784c0a94ad2bdff2bcbc376afe", "title": "A Shunting Inhibitory Convolutional Neural Network for Gender Classification", "year": "2006", "pdf": []}, {"id": "9a5292289b781bc7bb50bbe8a6f013b40c084880", "title": "Effects of oxytocin on behavioral and ERP measures of recognition memory for own-race and other-race faces in women and men", "year": "2013", "pdf": ["http://psych-www.colorado.edu/~tcurran/herzmann_oxytocin_eeg.pdf", "http://psych.colorado.edu/~tcurran/herzmann_oxytocin_eeg.pdf"]}, {"id": "8010636454316faf1a09202542af040ffd04fefa", "title": "Performance Parameter Analysis of Face Recognition Based On Fuzzy C-Means Clustering , Shape and Corner Detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8010/636454316faf1a09202542af040ffd04fefa.pdf"]}, {"id": "17d84ca10607442a405f3c4c8b4572bdd79801c2", "title": "Expression robust 3D face recognition via mesh-based histograms of multiple order surface differential quantities", "year": "2011", "pdf": ["http://liris.cnrs.fr/Documents/Liris-5555.pdf", "http://math.univ-lyon1.fr/~morvan/SCANPUBLICATIONS/Huibinicip2011.pdf"]}, {"id": "fdfb82f654e03c4d884713278077cc66e42afe41", "title": "Analysis of variance of Gabor filter banks parameters for optimal face recognition", "year": "2011", "pdf": []}, {"id": "bef2854893462ae28bdb2243bba4d010d3909289", "title": "TUBITAK UZAY at TRECVID 2010: Content-Based Copy Detection and Semantic Indexing", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/bef2/854893462ae28bdb2243bba4d010d3909289.pdf"]}, {"id": "a9cecfbc47a39fa0158a5f6fd883e0e5ac2aa134", "title": "Optimal Subspace Analysis for Face Recognition", "year": "2005", "pdf": []}, {"id": "3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e", "title": "Local Directional Number Pattern for Face Analysis: Face and Expression Recognition", "year": "2013", "pdf": ["http://www.chennaisunday.com/IEEE%202013%20Dotnet%20Basepaper/Local%20Directional%20Number%20Pattern%20for%20Face%20Analysis%20Face%20and%20Expression%20Recognition.pdf", "https://pdfs.semanticscholar.org/3ba8/f8b6bfb36465018430ffaef10d2caf3cfa7e.pdf"]}, {"id": "786e57ed6877dc8491b1bb9253f8b82c02732977", "title": "Efficient approach to de-identifying faces in videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/786e/57ed6877dc8491b1bb9253f8b82c02732977.pdf"]}, {"id": "6cad808376cf5c5dc8202471c046c2cb80afdc09", "title": "A new approach for color image segmentation based on color mixture", "year": "2011", "pdf": []}, {"id": "8097841cc4f3559e32c32db97624255808bacf22", "title": "Biometrie symmetry: Implications on template protection", "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570346480.pdf"]}, {"id": "dc8b25e35a3acb812beb499844734081722319b4", "title": "The FERET database and evaluation procedure for face-recognition algorithms", "year": "1998", "pdf": ["http://biometrics.nist.gov/cs_links/face/frvt/feret/FERET_Database_evaluation_procedure.pdf", "https://www.nist.gov/sites/default/files/documents/2016/12/15/feret_database_evaluation_procedure.pdf"]}, {"id": "c593c6080c75133191a27381a58cd07c97aa935b", "title": "Gender Classification Using a Min-Max Modular Support Vector Machine with Incorporating Prior Knowledge", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/c593/c6080c75133191a27381a58cd07c97aa935b.pdf"]}, {"id": "b15663eb2e0a7f92dbb5364c5a8e0742105f4ebe", "title": "Selecting highly optimal architectural feature sets with Filtered Cartesian Flattening", "year": "2009", "pdf": ["http://www.dre.vanderbilt.edu/~schmidt/PDF/white-fmopt-journal.pdf"]}, {"id": "babc76d0550a647dc605dca9a69bda1af8e0c872", "title": "AN EFFECTIVE COLOR FACE RECOGNITION BASED ON BEST COLOR FEATURE SELECTION ALGORITHM USING WEIGHTED FEATURES FUSION SYSTEM", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/babc/76d0550a647dc605dca9a69bda1af8e0c872.pdf"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "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": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"]}, {"id": "10c7575e7db69a208bfb21e3fc0cbc3f7698e99d", "title": "New sparse representation methods; application to image compression and indexing. 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"c161f2a98834db4cbb7b42d2853d0bab491b8e8b", "title": "Recognition of Face Images through the FusionApproach", "year": "2014", "pdf": []}, {"id": "7d841607ce29ff4a75734ffbf569431425d8342f", "title": "Bimodal 2D-3D face recognition using a two-stage fusion strategy", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/aissaoui15bimodal2D3D.pdf"]}, {"id": "05bd3ebba35a683e5035a3920352bc7aec85bd78", "title": "License Plate Detection on Autonomous Surveillance Systems", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/05bd/3ebba35a683e5035a3920352bc7aec85bd78.pdf"]}, {"id": "267a60d699bc28d891af65fd3ac11471e377cb1c", "title": "The CSU Face Identification Evaluation System User \u2019 s Guide : Version 4 . 0", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/ef5a/fb91ba54f8dc6cbc75abafd9508b887f0e06.pdf"]}, {"id": "470690bb2c165b8e2c49e25add434216b59b1987", "title": "Incremental Linear Discriminant Analysis for Face Recognition", "year": "2008", "pdf": []}, {"id": "b0b6346104cbf878a072da93d49ad6e9f65befaf", "title": "SCiFI - A System for Secure Face Identification", "year": "2010", "pdf": ["http://people.csail.mit.edu/costan/readings/oakland_papers/scifi.pdf", "http://www.pinkas.net/PAPERS/scifi.pdf"]}, {"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "title": "MORPH: a longitudinal image database of normal adult age-progression", "year": "2006", "pdf": []}, {"id": "ec89f2307e29cc4222b887eb0619e0b697cf110d", "title": "Face Recognition Using Dual-Tree Complex Wavelet Features", "year": "2009", "pdf": []}, {"id": "1888bf50fd140767352158c0ad5748b501563833", "title": "A GUIDED TOUR OF FACE PROCESSING", "year": "", "pdf": ["https://pdfs.semanticscholar.org/1888/bf50fd140767352158c0ad5748b501563833.pdf"]}, {"id": "5f1371c7d313c58af1fd7ac9574a2965c5abefe9", "title": "Probing the visual representation of faces with adaptation: A view from the other side of the mean.", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/e61e/8b899d234f6f9fb1a9057ec35a44deb28352.pdf"]}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": []}, {"id": "a8cd4bc012e08a2c6b2ca7618ec411a8d9e523e7", "title": "Image Processing and Recognition - Mixture of Experts for Classification of Gender, Ethnic Origin, and Pose of Human Faces", "year": "2000", "pdf": ["https://cours.etsmtl.ca/sys828/REFS/C1/Gutta_MOE_TNN00.pdf", "https://pdfs.semanticscholar.org/a8cd/4bc012e08a2c6b2ca7618ec411a8d9e523e7.pdf"]}, {"id": "21e666abe02b1cab090825199471db7f744aa424", "title": "A REAL-TIME FACE RECOGNITION SYSTEM USING MULTIPLE MEAN FACES AND I DUAL MODE FISHEFWACES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/21e6/66abe02b1cab090825199471db7f744aa424.pdf"]}, {"id": "8de9380536a5f7f29cfe59578041efe7c8ea20bd", "title": "Facial image-based gender classification using Local Circular Patterns", "year": "2012", "pdf": ["http://vision.unipv.it/VA/VA-En/TEST/Maze%20MM/Gender.pdf"]}, {"id": "86450dfae8b38a051c21d6f49073671c3a7b5253", "title": "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification", "year": "2015", "pdf": []}, {"id": "2a2d75e5900faa7e6af8ae050e12926e0f8a9c16", "title": "Face Recognition Method Based on Improved LDA", "year": "2017", "pdf": []}, {"id": "f3a094d213b373d0aa20e157fdedcd349c1d1777", "title": "Single-sample-per-person-based face recognition using fast Discriminative Multi-manifold Analysis", "year": "2014", "pdf": ["http://www.apsipa.org/proceedings_2014/Data/paper/1274.pdf"]}, {"id": "027d856064df21912b7bc5018b6392e776f8bf09", "title": "Face Authentication using Euclidean Distance Model with PSO Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e047/56e57fce345c566ea6ed0f06027990364d9d.pdf"]}, {"id": "5ab4be9e574d7ce9d32c74e9dd25914d3720edb6", "title": "Experiments with Multiview Multi-instance Learning for Supervised Image Classification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0999/84cd79dbf470af2b25b1a0d0c30e07198274.pdf"]}, {"id": "52aaffdc7f8d96f2c8cc8935d8cf5803f193941d", "title": "Ensemble of texture descriptors for face recognition obtained by varying feature transforms and preprocessing approaches", "year": "2017", "pdf": []}, {"id": "b824cdb86ed0b5c43d46a9811c170a661b4646e9", "title": "A test sample oriented two-phase discriminative dictionary learning algorithm for face recognition", "year": "2016", "pdf": []}, {"id": "a8613d1526c816dc5675806bae6a16dd864c3237", "title": "Incremental learning of bidirectional principal components for face recognition", "year": "2010", "pdf": []}, {"id": "618d3ad69c677016547098e01b9c6e94c260de1d", "title": "What are customers looking at?", "year": "2007", "pdf": ["http://cse.msu.edu/~liuxm/publication/liu_krahnstoever_yu_tu_avss_2007.pdf", "http://cvlab.cse.msu.edu/pdfs/liu_krahnstoever_yu_tu_avss_2007.pdf"]}, {"id": "ad5965e00d9511528c91adea0b356ad1e7081f0e", "title": "A weighted probabilistic approach to face recognition from multiple images and video sequences", "year": "2006", "pdf": ["http://www2.ece.ohio-state.edu/~aleix/IMVC06.pdf"]}, {"id": "b8a53daa97fb917a89c351c47f0b197573e20023", "title": "Recognizing Faces---An Approach Based on Gabor Wavelets", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/3b7b/426f179ca3df6dc73c80850155fe9107b03c.pdf"]}, {"id": "0f1ecc5d8834df4390755cb97c239a9f4248b30f", "title": "Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions", "year": "2008", "pdf": ["http://cse.seu.edu.cn/PersonalPage/xgeng/files/tnn08.pdf", "http://dro.deakin.edu.au/eserv/DU:30017604/geng-individualstable-2008.pdf", "http://www.researchgate.net/profile/Kate_Smith-Miles/publication/3304170_Individual_Stable_Space_An_Approach_to_Face_Recognition_Under_Uncontrolled_Conditions/links/00b4952d453ff51c77000000.pdf", "https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tnn08.pdf"]}, {"id": "72367499712525a9f82d0a1d844e2a76d749304d", "title": "Multi-layer Biometric System for the Port of Los Angeles Final Report", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7236/7499712525a9f82d0a1d844e2a76d749304d.pdf"]}, {"id": "93dd71a7261220374b924137b87da59bd1c3b805", "title": "Effective Feature Extraction in High-Dimensional Space", "year": "2008", "pdf": []}, {"id": "ae5743712462f99bc3618eaed9814ef305048ff4", "title": "Face Recognition Method Based on the Adaptive Fuzzy Weighted Sub-Pattern SVD", "year": "2017", "pdf": []}, {"id": "9b2a90eb75a7dfe5436fe085d3ec094e041b440c", "title": "Locality-Preserved Maximum Information Projection", "year": "2008", "pdf": []}, {"id": "db9bdf10452e99a6dcbc5c01e8c934f85d61b101", "title": "A Gabor Pseudo Fisherface Based Face Recognition Algorithm for LSI Implementation", "year": "2009", "pdf": []}, {"id": "6017b19c4c0e6c0e5b32e54efda6eff78b69d1dd", "title": "An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6017/b19c4c0e6c0e5b32e54efda6eff78b69d1dd.pdf"]}, {"id": "3d6229044f6605604818f39f08c5270a5a132a03", "title": "Projective Nonnegative Matrix Factorization based on \u03b1-Divergence", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/3d62/29044f6605604818f39f08c5270a5a132a03.pdf"]}, {"id": "b3fa62a7028578be8d1f8eb0877c762a4d6639c1", "title": "EFFICIENT FACE RECOGNITION SYSTEM USING RANDOM FORESTS by VIDYUT GHOSAL", "year": "", "pdf": ["https://pdfs.semanticscholar.org/b3fa/62a7028578be8d1f8eb0877c762a4d6639c1.pdf"]}, {"id": "c129ec30dbc02c30779ca5812d084758aa69c7e5", "title": "Two-Dimensional Inverse FDA for Face Recognition", "year": "2008", "pdf": []}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": []}, {"id": "534551fe2c4ce76c9a9a752364cd9c3af0dc9093", "title": "Gait Dynamics for Recognition and Classification", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/5345/51fe2c4ce76c9a9a752364cd9c3af0dc9093.pdf"]}, {"id": "4d5c54c4a0f8c7758f31560f2b2d610db0a1306b", "title": "Separable linear discriminant analysis", "year": "2012", "pdf": ["http://www.researchgate.net/profile/Jianhua_Zhao3/publication/257016690_Separable_linear_discriminant_analysis/links/00b7d527725e807471000000.pdf", "http://www.ynufe.edu.cn/pub/tsxy/jhzhao/pub/en/slda.pdf"]}, {"id": "9327886ca53bc1e08df935d77ed331cbc085de01", "title": "Robust Approaches for Multi-Label Face Classification", "year": "2016", "pdf": []}, {"id": "a7a8b35aef658490920d62623870606c46c95c15", "title": "Formal Implementation of a Performance Evaluation Model for the Face Recognition System", "year": "2007", "pdf": ["http://downloads.hindawi.com/journals/bmri/2008/742504.pdf"]}, {"id": "2163c401f6345350e38b2ce6f39a42871fb22c84", "title": "On the effectiveness of soft biometrics for increasing face verification rates", "year": "2015", "pdf": []}, {"id": "9cb916aa3672a8071d2d77931ed221f4f98138f2", "title": "Composition-Aided Face Photo-Sketch Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00899.pdf"]}, {"id": "9df3c81ce84b027d9cda37c754250d31a5561005", "title": "Semantic scene modeling and retrieval", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/9df3/c81ce84b027d9cda37c754250d31a5561005.pdf"]}, {"id": "d03e4e938bcbc25aa0feb83d8a0830f9cd3eb3ea", "title": "Face Recognition with Patterns of Oriented Edge Magnitudes", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/d03e/4e938bcbc25aa0feb83d8a0830f9cd3eb3ea.pdf"]}, {"id": "faa917f464183173d22867da6cc213af905dd1d0", "title": "Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines", "year": "2007", "pdf": []}, {"id": "ac5ee48955ce97433cadef011bedd8e65a574255", "title": "Image classification using kernel collaborative representation with regularized least square", "year": "2013", "pdf": ["http://or.nsfc.gov.cn/bitstream/00001903-5/95289/1/1000006844044.pdf"]}, {"id": "093f8e0feb5635eac86ce58080ca80ab5fc88e17", "title": "Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications", "year": "2011", "pdf": ["http://www-users.cs.umn.edu/~cherian/papers/WishartDPMMCVPR.pdf"]}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"]}, {"id": "6766142f415561701250bbaa691fcd8e4173f99d", "title": "Biometric Evaluation on the Cloud: A Case Study with HumanID Gait Challenge", "year": "2012", "pdf": ["http://www.biometrics.org/bc2013/presentations/blds_sarkar_tuesday_1100.pdf", "https://www.computer.org/csdl/proceedings/ucc/2012/4862/00/4862a219.pdf"]}, {"id": "443ddd7e7e367328b175c4e79701a080948fc9ee", "title": "Face recognition using reinforcement learning", "year": "2004", "pdf": ["http://eprints.pascal-network.org/archive/00004484/01/butman_paper.pdf", "http://www.asp.eurasipjournals.com/content/pdf/1687-6180-2008-416318.pdf", "http://www.eng.biu.ac.il/~goldbej/papers/butman_paper.pdf", "http://www.researchgate.net/profile/Babak_Araabi/publication/221123732_Face_recognition_using_reinforcement_learning/links/0c96052b172d96f865000000.pdf", "http://www.springeropen.com/track/pdf/10.1155/2008/416318?site=asp-eurasipjournals.springeropen.com"]}, {"id": "5d3a45e25d0e3221bb581edf74bb920aaaa11b02", "title": "Non-negative Structured Pyramidal Neural Network for Pattern Recognition", "year": "2018", "pdf": []}, {"id": "c777d4cb33219274183fbc212ad5faf25638c8ad", "title": "Mongoloid and Non-Mongoloid Race Classification from Face Image Using Local Binary Pattern Feature Extractions", "year": "2018", "pdf": []}, {"id": "3035bcbad93767570d444c136f4036f357648d60", "title": "Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3035/bcbad93767570d444c136f4036f357648d60.pdf"]}, {"id": "8258ba9179f5c22f9f544de0e4717b37adbaade9", "title": "Face Recognition Using Multiscale and Spatially Enhanced Weber Law Descriptor", "year": "2012", "pdf": []}, {"id": "28525f9bb0797fdf7c0a8a9d1666015c60610077", "title": "Development of Mobile Face Verification Based on Locally Normalized Gabor Wavelets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2852/5f9bb0797fdf7c0a8a9d1666015c60610077.pdf"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": []}, {"id": "0a3fa8e6f158e7faec024d83964751a5d59fe836", "title": "High-Performance Memory-based Face Recognition for Visitor Identification", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/e923/b92b718c44953a708cdde26428496e7489ef.pdf"]}, {"id": "52036ffa9407fae480482615dd76b00d0c50f2fb", "title": "Analysis of Subspace-based Face Recognition Techniques under Changes in Imaging Factors", "year": "2007", "pdf": []}, {"id": "283371bb21aaddf92ea975869a69b3b1aad8a4db", "title": "Recognizing faces using Adaptively Weighted Sub-Gabor Array from a single sample image per enrolled subject", "year": "2010", "pdf": []}, {"id": "77cb6ea4feff6f44e9977cc7572185d24e48ce40", "title": "On the Complementarity of Face Parts for Gender Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/77cb/6ea4feff6f44e9977cc7572185d24e48ce40.pdf"]}, {"id": "a1f4cd1e435f093db6bc88e7a815c17a6b9d24b5", "title": "Face Recognition Using Local Gabor Phase Characteristics", "year": "2010", "pdf": []}, {"id": "6f0001fd57244bdbca5a1cad8143aff2387d4454", "title": "Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition", "year": "2017", "pdf": []}, {"id": "4e7ef87467306d34eaaf2a38d0f10583b7f64754", "title": "Enhancing incremental learning/recognition via efficient neighborhood estimation", "year": "2010", "pdf": []}, {"id": "46216757ae27573fcea9fadc858bb65e48d8f85c", "title": "Robust Eye Detection from Facial Image based on Multi-cue Facial Information", "year": "2007", "pdf": []}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"]}, {"id": "11916461bb0a150ef31d4a4249160dce451d77db", "title": "Robust face recognition via discriminative and common hybrid dictionary learning", "year": "2017", "pdf": []}, {"id": "e57acaedd5a76e338bae790d8464aadada4d4902", "title": "Subspaces versus Submanifolds: a Comparative Study in Small Sample Size Problem", "year": "2009", "pdf": []}, {"id": "5322f56b8768f8053e8b0c4944d81377d1d60411", "title": "MEE 09 : 79 FACE ALIGNMENT USING BOOSTED APPEARANCE MODEL ( Discriminative Appearance Model )", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/5322/f56b8768f8053e8b0c4944d81377d1d60411.pdf"]}, {"id": "8b5e32389af26e86e0b00f21d48ef938c3b6c699", "title": "Robotic Arm-Based Face Recognition Software Test Automation", "year": "2018", "pdf": []}, {"id": "01574e0d3be1b866471b83e39f7404c80d608e63", "title": "Application of Blind Deblurring Algorithm for Face Biometric", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/586d/4e31b2b2be4b43e7f3d53530c0a35a3aa93b.pdf"]}, {"id": "d8cf6b19c75489dd7a5f4107e2e3ec494274da41", "title": "Partial Relevance in Interactive Facial Image Retrieval", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/d8cf/6b19c75489dd7a5f4107e2e3ec494274da41.pdf"]}, {"id": "c5697c28272dc7e81c451a63495f229c740d597b", "title": "Intra-class retrieval of non-rigid 3 D objects : Application to Face Recognition", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/c569/7c28272dc7e81c451a63495f229c740d597b.pdf"]}, {"id": "e98dad1ab4eee90dd05b6db36498f021ee21b29b", "title": "Parallelization between face localization and person identification", "year": "2004", "pdf": []}, {"id": "78b329bb205af90e6eac5fc428ce68f73b691d59", "title": "Log-Linear Elliptic Transform for Frontal-Face Parameter Estimation", "year": "2007", "pdf": []}, {"id": "86f72a4391c3b90a03f8fbbd28d4846947f028d6", "title": "Principal Manifolds and Probabilistic Subspaces for Visual Recognition", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/a8ca/ea2199061186c793e473860835bd9b818157.pdf"]}, {"id": "91d6d25512e3297830b7d8b330f311656db09831", "title": "An experimental comparison of gender classification methods", "year": "2008", "pdf": ["http://www.inf.unideb.hu/~sajolevente/papers2/gender/2008.%20An%20experimental%20comparison%20of%20gender%20classification%20methods.pdf"]}, {"id": "dec56c82568b1ae7ff532017d842f2ed00eba244", "title": "Is ICA significantly better than PCA for face recognition?", "year": "2005", "pdf": ["http://ira.lib.polyu.edu.hk/bitstream/10397/197/1/Conf_V1_05.pdf", "http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/197/1/Conf_V1_05.pdf"]}, {"id": "6890f210cdc574caa89fa94933ec942360aa1e0c", "title": "How effective are landmarks and their geometry for face recognition?", "year": "2006", "pdf": []}, {"id": "b7eead8586ffe069edd190956bd338d82c69f880", "title": "A VIDEO DATABASE FOR FACIAL BEHAVIOR UNDERSTANDING", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/b7ee/ad8586ffe069edd190956bd338d82c69f880.pdf"]}, {"id": "56c448434df9f01de306815122f6517a33235e22", "title": "Label propagation through sparse neighborhood and its applications", "year": "2012", "pdf": []}, {"id": "653942873bc7ea6f1056739dc5015ec3631d9bbe", "title": "Face Detection Techniques-A Review", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6539/42873bc7ea6f1056739dc5015ec3631d9bbe.pdf"]}, {"id": "48be9300acdc484100436f32bd409a89a7dc1ef7", "title": "Chapter 4 FACE RECOGNITION AND ITS APPLICATIONS", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/48be/9300acdc484100436f32bd409a89a7dc1ef7.pdf"]}, {"id": "4c2fe5997a5570720bac2ab5ce187f1bd2aed1e7", "title": "A comparison of two computer-based face identification systems with human perceptions of faces", "year": "1998", "pdf": ["http://dspace.stir.ac.uk/bitstream/1893/285/1/visres98.pdf"]}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"]}, {"id": "1d0cbbe466647286bd73d41032a418b0e2265e7c", "title": "Fusion of face and gait for human recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1d0c/bbe466647286bd73d41032a418b0e2265e7c.pdf"]}, {"id": "3199a528e5e68f48827544abee7fd6b47678dba5", "title": "Human Face Recognition Using Weighted Vote of Gabor Magnitude Filters", "year": "", "pdf": ["https://pdfs.semanticscholar.org/3199/a528e5e68f48827544abee7fd6b47678dba5.pdf"]}, {"id": "b5476afccf97fc498f51170e65ac9cd9665fd2ce", "title": "Wide Range Face Pose Estimation by Modelling the 3D Arrangement of Robustly Detectable Sub-parts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/b547/6afccf97fc498f51170e65ac9cd9665fd2ce.pdf"]}, {"id": "5a1bf442073b95a3392e673dd14bf73fc1e99f6b", "title": "Internal Report 96{08 Face Recognition by Elastic Bunch Graph Matching Face Recognition by Elastic Bunch Graph Matching", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/5a1b/f442073b95a3392e673dd14bf73fc1e99f6b.pdf"]}, {"id": "0f04a95ec885cf98e7cee43eacff13de0c888d3b", "title": "The FERET September 1996 Database and Evaluation Procedure", "year": "1997", "pdf": []}, {"id": "3bbdfa097a4c39012cb322b23051e360c2f7f023", "title": "Learning Race from Face: A Survey", "year": "2014", "pdf": ["http://www.ele.uri.edu/faculty/he/PDFfiles/raceface.pdf", "http://www.ele.uri.edu/faculty/he/PDFfiles/tpami-he.pdf"]}, {"id": "2598c02e537b02ce181eea1aa49a698080a391a8", "title": "Improving Recognition Performance for Duplicate Facial Images", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/2598/c02e537b02ce181eea1aa49a698080a391a8.pdf"]}, {"id": "0bc7b12b4eb5890e5e9fb45db2c7a801980441cb", "title": "A New Color Image Database for Benchmarking of Automatic Face Detection and Human Skin Segmentation Techniques", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/8bc2/92e7d2112701c98e25ccc287cb192f1f52b5.pdf"]}, {"id": "0735e0b0266d94b670fa6e1b974d3676ef4e3e24", "title": "Face Recognition by Elastic Bunch Graph Matching", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/37ef/a1e61c4a52b191dca26e59e1ce686a89541c.pdf"]}, {"id": "905339e771e69cd412f3379c4da02b78ec2a950f", "title": "Learning a Synchronous MAP for Improved Face Recognition", "year": "2004", "pdf": []}, {"id": "216081f7e3ac058b2bad7609676193f50da24db9", "title": "Misleading first impressions: different for different facial images of the same person.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2160/81f7e3ac058b2bad7609676193f50da24db9.pdf"]}, {"id": "1746fec6b033f5fc7aa0f8c99e1f238ac3710ee9", "title": "An Extensive Survey on Feature Extraction Techniques for Facial Image Processing", "year": "2014", "pdf": []}, {"id": "8ab2bc0f298cf595d50064a5bce57065d5b69c59", "title": "Development of Multimedia Application for Smartphones", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/da44/8a1d037f9dcd3e41a752d60df7d28df3c74b.pdf"]}, {"id": "d68f24e2c8e753d4d1e62f2231f6f33370de24de", "title": "NATIONAL BIOMETRIC TEST CENTER COLLECTED WORKS 1997-2000", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/d68f/24e2c8e753d4d1e62f2231f6f33370de24de.pdf"]}, {"id": "fc9e60f370252bc9a6120a6b2c39703ac1fee810", "title": "Critical Points to Determine Persistence Homology", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06148.pdf"]}, {"id": "e04a5a6860b80e3a7fc293d495f3b9a822c3f98d", "title": "Exploration of the Influence of Smiling on Initial Reactions Across Levels of Facial Attractiveness", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e04a/5a6860b80e3a7fc293d495f3b9a822c3f98d.pdf"]}, {"id": "ce20f81374e2058b01910a4d028b79c07ce7e994", "title": "Discriminating Characteristics of Gabor Phase-Face and Improved Methods for Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce20/f81374e2058b01910a4d028b79c07ce7e994.pdf"]}, {"id": "3bc514bfcaa3808618ff6b4b52e4001e7a24b82b", "title": "3D Probabilistic Feature Point Model for Object Detection and Recognition", "year": "2007", "pdf": ["http://eprints.pascal-network.org/archive/00003053/01/cvpr07romdhani.pdf", "https://gravis.dmi.unibas.ch/publications/2007/CVPR07_Romdhani.pdf"]}, {"id": "19d27714c820ca7cebf8c6d5a76053b23bcfdf11", "title": "Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance", "year": "2005", "pdf": []}, {"id": "6d28ba098f800caaa46d9273631135bd0318303a", "title": "A hierarchical Bayesian model for pattern recognition", "year": "2012", "pdf": []}, {"id": "9d357bbf014289fb5f64183c32aa64dc0bd9f454", "title": "Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions", "year": "2002", "pdf": ["http://mi.informatik.uni-siegen.de/publications/romdhani_eccv02.pdf"]}, {"id": "3d42e17266475e5d34a32103d879b13de2366561", "title": "The Global Dimensionality of Face Space", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/7450/7306832bd71884365ed81e1cc7866e47c399.pdf"]}, {"id": "869abfc258f5512fd95da179f7d92b624900eadd", "title": "Autonomous face recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/869a/bfc258f5512fd95da179f7d92b624900eadd.pdf"]}, {"id": "80fdf9757c0e4b62dcfff03941f1951304ba002c", "title": "Geometry of face space", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/80fd/f9757c0e4b62dcfff03941f1951304ba002c.pdf"]}, {"id": "64b78b6f13c321da77e3770a748772fa837aa8c8", "title": "Parallel Architecture for Face Recognition using MPI", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/64b7/8b6f13c321da77e3770a748772fa837aa8c8.pdf"]}, {"id": "66e21b99ae3aeae79589d260e3daca3b04981a9c", "title": "MULTI-AGENT APPROACH TOWARDS FACE RECOGNITION", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/66e2/1b99ae3aeae79589d260e3daca3b04981a9c.pdf"]}, {"id": "29c7dfbbba7a74e9aafb6a6919629b0a7f576530", "title": "Automatic Facial Expression Analysis and Emotional Classification", "year": "2004", "pdf": 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["https://pdfs.semanticscholar.org/7db0/0be42ded44f87f23661c49913f9d64107983.pdf"]}, {"id": "8f9f599c05a844206b1bd4947d0524234940803d", "title": "Efficient 3D reconstruction for face recognition", "year": "2005", "pdf": ["http://research.microsoft.com/en-us/um/people/leizhang/Paper/PR05-Dalong.pdf", "http://sourcedb.ict.cas.cn/cn/ictthesis/200907/P020090722605092316252.pdf"]}, {"id": "620c3f6605e528503a99a8832200d5afdf156c20", "title": "F2ID: a personal identification system using faces and fingerprints", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/620c/3f6605e528503a99a8832200d5afdf156c20.pdf"]}, {"id": "eeae5d972fd093786acebf884a915924f9d66d0d", "title": "Christian Religious Badges Instill Trust in Christian and Non-Christian Perceivers", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/765f/89b7e6a75dd8c23393a2eb97631dded70f97.pdf"]}, {"id": "0ecb58abfe0462fecd27fd5eb0605d736e75acf6", "title": "On Classifying Facial Races with Partial Occlusions and Pose Variations", "year": "2017", "pdf": []}, {"id": "192e439b19824d06bb21ad6bd63cc7a55772549f", "title": "Face recognition using SURF features", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/192e/439b19824d06bb21ad6bd63cc7a55772549f.pdf"]}, {"id": "e66c1950de149e0ccf90d3796dacce8b4886544d", "title": "Th\u00e8se A contribution to mouth structure segmentation in images aimed towards automatic mouth gesture recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e66c/1950de149e0ccf90d3796dacce8b4886544d.pdf"]}, {"id": "06bcd68dcbd8f7dadc8310fa47d44bce982f4559", "title": "Multi-linear neighborhood preserving projection for face recognition", "year": "2014", "pdf": []}, {"id": "e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e", "title": "Ear Recognition : A Complete System", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e000/dd1aec1c7b1e9e781ec7ea66f2bde72faa5e.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "2f348a2ad3ba390ee178d400be0f09a0479ae17b", "title": "Gabor-based kernel PCA with fractional power polynomial models for face recognition", "year": "2004", "pdf": ["http://www.csee.wvu.edu/~richas/ML-Papers/Gabor-Based%20Kernel%20PCA.pdf"]}, {"id": "7a7daa220b80e6f447183ab1e30531bb9eec0e0c", "title": "Survey: Subspace methods for face recognition", "year": "2010", "pdf": []}, {"id": "1c26e415c7eae2f3b0f49e0519f0d985ec661c63", "title": "Intersection of Longest Paths in Graph Theory and Predicting Performance in Facial Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1c26/e415c7eae2f3b0f49e0519f0d985ec661c63.pdf"]}, {"id": "3df7401906ae315e6aef3b4f13126de64b894a54", "title": "Robust learning of discriminative projection for multicategory classification on the Stiefel manifold", "year": "2008", "pdf": ["http://dro.deakin.edu.au/eserv/DU:30044580/venkatesh-robustlearning-2008.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/067.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/067.pdf"]}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"]}, {"id": "b463f935ccd91831cb56bff0a27a88c4320f99dd", "title": "Evidence for rostro-caudal functional organization in multiple brain areas related to goal-directed behavior", "year": "2014", "pdf": ["http://www.christofflab.ca/pdfs/Dixon2014-RostrocaudalHierarchy.pdf", "https://static1.squarespace.com/static/575f018a1bbee0fe9fb1748e/t/5887e0852e69cf3f7dfd22ee/1485299852043/1-s2.0-S0006899314006817-main.pdf"]}, {"id": "0d8753db30693a000a2b704bc4f8c7209f716d66", "title": "Robust Fisher Linear Discriminant Model for Dimensionality Reduction", "year": "2006", "pdf": []}, {"id": "66ec086d1a546939b753671f192d76c06c8b207e", "title": "Non-negative Matrix Factorization on Kernels", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/66ec/086d1a546939b753671f192d76c06c8b207e.pdf"]}, {"id": "b4e6c5942ed495c3158ef4bede9b53690b20d0a4", "title": "Eigenspace-based face recognition: a comparative study of different approaches", "year": "2005", "pdf": ["http://www.cwr.cl/webfaces/articulos/IEEETransSMSC2005.pdf"]}, {"id": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "title": "The MR2: A multi-racial, mega-resolution database of facial stimuli.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/be5b/455abd379240460d022a0e246615b0b86c14.pdf"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w48/Clapes_From_Apparent_to_CVPR_2018_paper.pdf"]}, {"id": "befc6e69cc611aab94ca8217424c83f467605dce", "title": "From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework", "year": "2011", "pdf": ["http://ima.ac.uk/papers/hu2010b.pdf", "https://pdfs.semanticscholar.org/c086/bcc73a9cf6687d58d34996736fdb4966ec40.pdf"]}, {"id": "add80c86fa2e73637b5630a9e32644784e59379c", "title": "Expanding Training Data for Facial Image Super-Resolution", "year": "2018", "pdf": []}, {"id": "8e6f67ba883169d6103795d7366a3821843ac758", "title": "A Novel Face Recognition Algorithm with Support Vector Machine Classifier", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8e6f/67ba883169d6103795d7366a3821843ac758.pdf"]}, {"id": "68bf34e383092eb827dd6a61e9b362fcba36a83a", "title": "Multi-view, High-resolution Face Image Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/68bf/34e383092eb827dd6a61e9b362fcba36a83a.pdf"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/05/APPA-REAL-Slides.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01362.pdf"]}, {"id": "5a363ac89f93377bb72af4346957ce36a01090c8", "title": "Face Recognition of Database of Compressed Images using Local Binary Patterns", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6f18/125c7db759d36e6044ddaf7a5e8eece6e233.pdf"]}, {"id": "bcd299eb32f17b531fa281cb750a89895cb4feb5", "title": "Computer Vision Research at the Computational Vision Laboratory of the Universidad de Chile", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/bcd2/99eb32f17b531fa281cb750a89895cb4feb5.pdf"]}, {"id": "02c38fa9a8ada6040ef21de17daf8d5e5cdc60c7", "title": "Toward an Application of Content-Based Video Indexing to Computer- Assisted Descriptive Video", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/02c3/8fa9a8ada6040ef21de17daf8d5e5cdc60c7.pdf"]}, {"id": "b6ad9d1a8038e9b4ade4d5bbb26f03e813d53071", "title": "Feature Extractions for Small Sample Size Classification Problem", "year": "2007", "pdf": []}, {"id": "8b56e33f33e582f3e473dba573a16b598ed9bcdc", "title": "A new ranking method for principal components analysis and its application to face image analysis", "year": "2010", "pdf": []}, {"id": "4dab3522bbf33f199996069106b514badb4f900a", "title": "Multimodal Biometrics Using Cancelable Feature Fusion", "year": "2014", "pdf": []}, {"id": "2450c618cca4cbd9b8cdbdb05bb57d67e63069b1", "title": "A connexionist approach for robust and precise facial feature detection in complex scenes", "year": "2005", "pdf": ["http://liris.cnrs.fr/Documents/Liris-6127.pdf"]}, {"id": "d8e8730231dc0e77f3ad61385f918df3d93bd266", "title": "Efficient face detection method with eye region judgment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d8e8/730231dc0e77f3ad61385f918df3d93bd266.pdf"]}, {"id": "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "title": "An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition", "year": "2014", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/icpr2014.pdf", "https://users.aalto.fi/~kannalj1/publications/icpr2014.pdf"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"]}, {"id": "e71e9cbcd34bc169b2d6d083e925bd7f44693ca0", "title": "Performance Analysis of Face Recognition Algorithms on Korean Face Database", "year": "2007", "pdf": []}, {"id": "e6639b09a1fda7ddcf3d6ea9b5a011e3467ce381", "title": "When a never-seen but less-occluded image is better recognized: evidence from same-different matching experiments and a model.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/cf13/ad3c8b96e26dfcab0184772895df6d0a35ff.pdf"]}, {"id": "2a5efa83ea5c4733757b838b84ba6519f873b826", "title": "A Continuous Learning for Solving a Face Recognition Problem", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2a5e/fa83ea5c4733757b838b84ba6519f873b826.pdf"]}, {"id": "91e58c39608c6eb97b314b0c581ddaf7daac075e", "title": "Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00307.pdf"]}, {"id": "8b21c89b436e0aa540f7b9648e4344eb30a6e372", "title": "Robust coding schemes for indexing and retrieval from large face databases", "year": "2000", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=AA967DAC4FAF1230FB05ECAB4175C7DF?doi=10.1.1.58.6993&rep=rep1&type=pdf", "http://visgraph.cs.ust.hk/biometrics/Papers/Face/imagpro2000-01-01.pdf"]}, {"id": "a2c9ddd7e7df99dba7c7b2b522f5c601b341c695", "title": "Eigenspace-based Face Recognition: A comparative study of different hybrid approaches.", "year": "2002", "pdf": []}, {"id": "2dab5bddd86b0c1d8dc201c5860b3d5832da87a4", "title": "Interactive Reception Desk with Face Recognition-Based Access Control", "year": "2007", "pdf": []}, {"id": "0ea2fa4039b6fc733dbc6942642287f141c1121c", "title": "Situation Awareness through Multimodal Biometric Template Security in Real-Time Environments", "year": "2013", "pdf": []}, {"id": "6a552df527057d433b6b68cab7c2b7661132dbcc", "title": "Selection of optimized features and weights on face-iris fusion using distance images", "year": "2015", "pdf": []}, {"id": "6ae02dac51860d9124db22a09a160a6478123b33", "title": "Median ternary pattern (MTP) for face recognition", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/iciev/2013/0400/00/06572546.pdf"]}, {"id": "ac2a2c655ad1b3eea3f222b213a774aa25a403c0", "title": "Self-Learning of Feature Regions for Image Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ac2a/2c655ad1b3eea3f222b213a774aa25a403c0.pdf"]}, {"id": "1fbccb842cf34697c98532d69b044463985f90ee", "title": "Constructing PCA Baseline Algorithms to Reevaluate ICA-Based Face-Recognition Performance", "year": "2007", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=781393DC492A91E996B002EDC5419A75?doi=10.1.1.500.8611&rep=rep1&type=pdf", "http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/228/1/SMCB_C_37_4_07.pdf"]}, {"id": "0af10b19c5636ab37609bfc3289fa1b9a40849b6", "title": "Maximum Confidence Hidden Markov Modeling for Face Recognition", "year": "2008", "pdf": ["http://conf.ncku.edu.tw/research/articles/e/20080926/4.pdf"]}, {"id": "07d70e554f7c9d4a22944bc5e0685dfdd813f33a", "title": "A spatiotemporal feature-based approach for facial expression recognition from depth video", "year": "2015", "pdf": []}, {"id": "f5bd11c5c5a455df04b171e37acd1fbdbf3dacd5", "title": "African American and Caucasian males ' evaluation of racialized female facial averages", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f15/c3a426d307dd1e72f7feab1e671d20fb1adb.pdf"]}, {"id": "d962dc575bcbb054a76385b7f2d446e83f17d1c3", "title": "Illumination compensation method for local matching Gabor face classifier", "year": "2010", "pdf": []}, {"id": "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "title": "Multi-subregion based correlation filter bank for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1603.07604.pdf"]}, {"id": "64d795ac6b90f1b7dd227e7e8f24a614d18aecfc", "title": "Integrating monomodal biometric matchers through logistic regression rank aggregation approach", "year": "2008", "pdf": []}, {"id": "bd766fb148c419673778cd026a8c4e8c5e4696d2", "title": "Evaluation of wavelet based linear subspace techniques for face recognition", "year": "2008", "pdf": []}, {"id": "f21a8e372fa12d87fec77d3297afe1e566e229a7", "title": "Nonnegative tensor factorization as an alternative Csiszar\u2013Tusnady procedure: algorithms, convergence, probabilistic interpretations and novel probabilistic tensor latent variable analysis algorithms", "year": "2010", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/dmkd_2011.pdf"]}, {"id": "89d4f8bde129198f41f454b2fd9bf29fce809fdb", "title": "Face detection using discriminating feature analysis and support vector machine in video", "year": "2004", "pdf": []}, {"id": "fde0180735699ea31f6c001c71eae507848b190f", "title": "Face Detection and Sex Identification from Color Images using AdaBoost with SVM based Component Classifier", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fde0/180735699ea31f6c001c71eae507848b190f.pdf"]}, {"id": "1aab5662f57ceb813fbe5233f8b6fb5868f5d9fe", "title": "Sources of interference in recognition testing.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/de29/aceb764c55946d11a9777c1d9f4edb320f50.pdf"]}, {"id": "93a451b5efa21887dae43eb73b4793ae3d184138", "title": "A Study on the Effectiveness of Different Patch Size and Shape for Eyes and Mouth Detection", "year": "2010", "pdf": ["https://arxiv.org/pdf/1007.1708.pdf"]}, {"id": "dd2d952e5dfad764649a1bd9adeaa429f0998c12", "title": "A Combined Approach to Feature Extraction for Mouth Characterization and Tracking", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3653/9d1b34de93c72faf7671745c9cde2c7f9e40.pdf"]}, {"id": "95fb31beaa745557fa33ec4f670ab4e130ff5bf4", "title": "Speeding up spatial approximation search in metric spaces", "year": "2009", "pdf": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": []}, {"id": "29f5ed1693511c636822b42db76639911bdeeda4", "title": "Local maximal margin discriminant embedding for face recognition", "year": "2014", "pdf": ["http://novintarjome.com/wp-content/uploads/2014/02/face2154414444.pdf", "http://vahabonline.com/wp-content/uploads/2014/02/Local-maximal_a9s8d5f63d2zxdv1d00d.pdf"]}, {"id": "4f507eb9823b13f1f782d25d6f0592924c087562", "title": "Holistic processing as measured in the composite task does not always go with right hemisphere processing in face perception", "year": "2016", "pdf": []}, {"id": "76b9fe32d763e9abd75b427df413706c4170b95c", "title": "Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/GOD_SI_PR.pdf"]}, {"id": "7a870f60eebb2c7417140f8ab48028a0f57f7b42", "title": "A new extension of kernel feature and its application for visual recognition", "year": "2008", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2008/gk19.pdf"]}, {"id": "70769def1284fe88fd57a477cde8a9c9a3dff13f", "title": "Adaptive feature representation for robust face recognition using context-aware approach", "year": "2007", "pdf": []}, {"id": "3f4b8fe5edfac918c1c74317242b2d91346d5fb6", "title": "Adaptive discriminant analysis for face recognition from single sample per person", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3f4b/8fe5edfac918c1c74317242b2d91346d5fb6.pdf"]}, {"id": "110a6a5304c6773773a0cd217f3e9d540b2f698d", "title": "Gender Recognition Based On Combining Facial and Hair Features", "year": "2013", "pdf": []}, {"id": "7238e8f34c662af74b81de80fa6c01838a06b349", "title": "Combining SVMS for face class modeling", "year": "2005", "pdf": ["http://signal.ee.bilkent.edu.tr/defevent/abstract/a1316.pdf", "http://signal.ee.bilkent.edu.tr/defevent/papers/cr1316.pdf", "https://infoscience.epfl.ch/record/87261/files/Meynet2005_1284.pdf"]}, {"id": "0c852df66ccd97f42317b8c021424ca6f93721b7", "title": "Modeling face appearance with nonlinear independent component analysis", "year": "2004", "pdf": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"]}, {"id": "a716972c8d3e6c25343c07c01361375bcb34118b", "title": "An Incremental Two-Dimensional Principal Component Analysis for Image Compression and Recognition", "year": "2016", "pdf": []}, {"id": "4a5014c23e2adb640f4b07b9b47ca2f2a5d427e6", "title": "On the Estimation of Face Recognition System Performance using Image Variabil- ity Information", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a50/14c23e2adb640f4b07b9b47ca2f2a5d427e6.pdf"]}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": []}, {"id": "8f077eeeb9678a31e77a17a5c28c36699cf13f83", "title": "Gender classification of faces using adaboost", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/8f07/7eeeb9678a31e77a17a5c28c36699cf13f83.pdf"]}, {"id": "bf39babab5648ff64cc4b79bfec96e8c6c93b812", "title": "The Impact of Disappointment in Decision Making: Inter-Individual Differences and Electrical Neuroimaging", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/b3b0/4c872d83a55ac5787829edcae98c6a27c64e.pdf"]}, {"id": "7166c7a4d1e90876899d61e3fa4e30beb5f1ec9e", "title": "State of The Art In 3 D Face Recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/1020/c3360cd369cdd683d55c0c5ef0d9cfb71fb1.pdf"]}, {"id": "4850e40b0e69e30723cb027fdc4a38ee1322589b", "title": "Detec\u00e7\u0303ao de Landmarks Faciais Usando SVM", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4850/e40b0e69e30723cb027fdc4a38ee1322589b.pdf"]}, {"id": "15dc50e3bd1063c3760e1c17177a0e898175c61e", "title": "Visual routines for eye location using learning and evolution", "year": "2000", "pdf": []}, {"id": "084f1a6c62a3464b1a9b745fee40af2895920301", "title": "Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance", "year": "2006", "pdf": ["http://nichol.as/papers/Liu/Capitalize%20on%20Dimensionality%20Increasing%20Techniques%20for%20Improving.pdf", "https://frvp.njit.edu/images/new-slider/TPAMI06-DIF.pdf"]}, {"id": "63fac08993df90719a52fe3f1c928a03bddc333d", "title": "Nonlinear DCT Discriminant Feature Extraction with Generalized KDCV for Face Recognition", "year": "2008", "pdf": []}, {"id": "6b18628cc8829c3bf851ea3ee3bcff8543391819", "title": "Face recognition based on subset selection via metric learning on manifold", "year": "2015", "pdf": ["http://engineering.cae.cn/fitee/fileup/2095-9184/SUPPL/20151221082702_2.pdf"]}, {"id": "8016233d289f4d7da40f3fcae550b29dce2acfc1", "title": "Effective features inspired from Ventral and dorsal stream of visual cortex for view independent face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8016/233d289f4d7da40f3fcae550b29dce2acfc1.pdf"]}, {"id": "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "title": "Efficient face recognition using wavelet-based generalized neural network", "year": "2013", "pdf": []}, {"id": "3399021c2cd7bc4f46494c5aa38bac82ef290e7b", "title": "Robust face recognition after plastic surgery using region-based approaches", "year": "2015", "pdf": []}, {"id": "36f039e39efde3558531b99d85cd9e3ab7d396b3", "title": "9 Efficiency of Recognition Methods for Single Sample per Person Based Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6d42/4349f2a2eeb4a74c76b737e7a7e0693f0c5d.pdf"]}, {"id": "537fbb3d5216333bcc91730f3ee61ff71f710e37", "title": "An Improved Face Recognition Algorithm Using Quantized DCT Coefficients", "year": "2011", "pdf": []}, {"id": "2d20ccac97cb11460097c10c90feebac3887f92d", "title": "A data association approach to detect and organize people in personal photo collections", "year": "2011", "pdf": ["https://www.researchgate.net/profile/Marco_Morana2/publication/230603446_A_data_association_approach_to_detect_and_organize_people_in_personal_photo_collections/links/02e7e52cdabae3881b000000.pdf"]}, {"id": "d7b6bbb94ac20f5e75893f140ef7e207db7cd483", "title": "griffith . edu . au Face Recognition across Pose : A Review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7b6/bbb94ac20f5e75893f140ef7e207db7cd483.pdf"]}, {"id": "b6aaaf6290ba0ca13be61d122907617f1ea86315", "title": "Embedded Face Recognition Using Cascaded Structures PROEFSCHRIFT", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/b6aa/af6290ba0ca13be61d122907617f1ea86315.pdf"]}, {"id": "22032c78ff1e89b45a815f5caca35756d935dd5e", "title": "Face recognition in JPEG and JPEG2000 compressed domain", "year": "2009", "pdf": ["http://www.vcl.fer.hr/papers_pdf/Face%20Recognition%20in%20JPEG%20and%20JPEG2000%20Compressed%20Domain.pdf"]}, {"id": "829f390b3f8ad5856e7ba5ae8568f10cee0c7e6a", "title": "A Robust Rotation Invariant Multiview Face Detection in Erratic Illumination Condition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bbf4/f0ce0838c8eec048e3a9b212053fd98dde5a.pdf"]}, {"id": "b542f58c1c9abe627638e9267040b397b6668374", "title": "False alarm rate: a critical performance measure for face recognition", "year": "2004", "pdf": []}, {"id": "2cf40b684c0cb789ed8d9f8eee0576f3b3fec98e", "title": "Robust Selectivity for Faces in the Human Amygdala in the Absence of Expressions", "year": "2013", "pdf": ["http://ntblab.princeton.edu/wp-content/uploads/2015/01/Mende-Siedlecki_JOCN_2013.pdf", "http://repository.ubn.ru.nl/bitstream/handle/2066/119527/119527-OA.pdf?sequence=1", "http://tlab.princeton.edu/publication_files/Mende-Siedlecki%20et%20al%20j%20Cog%20Neur%202013.pdf"]}, {"id": "3333b35ddb698be76dd27bffad131c1daa694bf2", "title": "Comparing Robustness of Two-Dimensional PCA and Eigenfaces for Face Recognition", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/3333/b35ddb698be76dd27bffad131c1daa694bf2.pdf"]}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"]}, {"id": "f4140100f311ba899b8ba661de17600e91cbb129", "title": "An Active Vision System for Multitarget Surveillance in Dynamic Environments", "year": "2007", "pdf": []}, {"id": "5bac3437dcdfe482b406800f38c0b9a5ca9223ee", "title": "Multiresolution based Kernel Fisher Discriminant Model for Face Recognition", "year": "2007", "pdf": []}, {"id": "a78cf9ee6571b99c74e330dfe8d357e51fd8cd28", "title": "Random subspace support vector machine ensemble for reliable face recognition", "year": "2014", "pdf": []}, {"id": "b27322d8b0984ce3b756f2b7c43ea698d635f2ef", "title": "(WKSP) On the Potential of Data Extraction by Detecting Unaware Facial Recognition with Brain-Computer Interfaces", "year": "2018", "pdf": []}, {"id": "c4cb04972f42ae2bdf26cff0c84959dc0b5178f1", "title": "The other-race effect for face perception: an event-related potential study", "year": "2007", "pdf": []}, {"id": "745b77016f972288925602d0d67bbba7d2c0fee9", "title": "Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric", "year": "2014", "pdf": []}, {"id": "c3561494f98929d8019b0b0e9481b2e79424f60c", "title": "Object Localization Based on Global Structure Constraint Model and Particle Swarm Optimization", "year": "2008", "pdf": []}, {"id": "6c62c592d9d3090b446cf76147468a6190431b3d", "title": "Gabor feature based classification using statistical models for face recognition", "year": "2010", "pdf": ["https://core.ac.uk/download/pdf/82761911.pdf"]}, {"id": "d590ca357910532cc62eeacc56af8f86b9fe642b", "title": "Metric Spaces Library", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d590/ca357910532cc62eeacc56af8f86b9fe642b.pdf"]}, {"id": "3c8aa33ccff8f959df28e4e883867af32e7b4b78", "title": "The impact of task relevance and degree of distraction on stimulus processing", "year": "2013", "pdf": ["http://aura.abdn.ac.uk/bitstream/2164/2982/1/BMC_Neuroscience.pdf", "http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1471-2202-14-107&originUrl=http://bmcneurosci.biomedcentral.com/article/10.1186/1471-2202-14-107", "https://opus.bibliothek.uni-wuerzburg.de/opus4-wuerzburg/frontdoor/deliver/index/docId/9727/file/Biehl_1471-2202-14-107.pdf"]}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"]}, {"id": "c29e33fbd078d9a8ab7adbc74b03d4f830714cd0", "title": "3D shape constraint for facial feature localization using probabilistic-like output", "year": "2004", "pdf": 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Top\u2013down Control during Working Memory", "year": "2018", "pdf": ["https://orbi.uliege.be/bitstream/2268/217893/1/JOCN_2018.pdf"]}, {"id": "7b4e42f4dac397e5214d957f75832e58d6f28299", "title": "Combining null space-based Gabor features for face recognition", "year": "2004", "pdf": ["http://www.ee.columbia.edu/~wliu/ICPR04_LiuWei2.pdf"]}, {"id": "ce073cb70eec80d87c9e07a4ec2d4162d91e23a6", "title": "Positive Definite Matrices : Data Representation and Applications to Computer Vision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce07/3cb70eec80d87c9e07a4ec2d4162d91e23a6.pdf"]}, {"id": "2d28fdb8e067b15c70a02729f49b23d75551a300", "title": "Gabor Wavelet Feature Based Face Recognition Using the Fractional Power Polynomial Kernel Fisher Discriminant Model", "year": "2007", "pdf": []}, {"id": "aa1e91a7f166d9a19b228d66f74e7de5b4448a0e", "title": "Seeing Blobs as Faces or Letters : Modeling Effects on Discrimination", "year": "2004", "pdf": 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Face Recognition", "year": "2016", "pdf": []}, {"id": "964e43f4983a42ef3790c265bdce42c1fce56d79", "title": "A virtual environment tool for benchmarking face analysis systems", "year": "2012", "pdf": ["http://face.cs.kit.edu/befit/workshop2012/pdf/slides/verschae-slides.pdf", "http://www.researchgate.net/profile/Rodrigo_Verschae/publication/258947958_A_virtual_environment_tool_for_benchmarking_face_analysis_systems/links/0046353953f9a79168000000.pdf"]}, {"id": "3eafadfd496f63df4eabbde15fe1add55d82ee53", "title": "Matching pursuit filters applied to face identification", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/3eaf/adfd496f63df4eabbde15fe1add55d82ee53.pdf"]}, {"id": "6163381244823241373f6741a282f2c4a868b59c", "title": "Multimodal biometrics for identity documents (MBioID).", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6163/381244823241373f6741a282f2c4a868b59c.pdf"]}, {"id": "6075c07ecb29d551ffa474c3eca45f2da5fd5007", "title": "Shallow convolutional neural network for eyeglasses detection in facial images", "year": "2017", "pdf": []}, {"id": "b4a16fe1469f2048d031db626b7cbc5bec7f4055", "title": "ONLINE FACIAL CARICATURE GENERATOR", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b4a1/6fe1469f2048d031db626b7cbc5bec7f4055.pdf"]}, {"id": "8c98f67bb17c94d4d7392dba0774e2e931451db6", "title": "Gender recognition from facial images: two or three dimensions?", "year": "2016", "pdf": []}, {"id": "0dca6aa1c0143aa190973fb2256c16d700992473", "title": "An introduction to the good, the bad, & the ugly face recognition challenge problem", "year": "2011", "pdf": ["http://www.cs.colostate.edu/~draper/papers/phillips_fg11.pdf", "http://www.cs.colostate.edu/~vision/publications/phillips_fg11.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=907484", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=907484"]}, {"id": "2921719b57544cfe5d0a1614d5ae81710ba804fa", "title": "Face Recognition Enhancement Based on Image File Formats and Wavelet", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2921/719b57544cfe5d0a1614d5ae81710ba804fa.pdf"]}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"]}, {"id": "3c1416dd18bededa58d3ac6d2e1f3658ef6cf961", "title": "Active-vision system for multi-target surveillance", "year": "2005", "pdf": []}, {"id": "fd1b917476b114919de0ae1b6a4b96a52a410c20", "title": "A Memory Based Face Recognition Method", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/fd1b/917476b114919de0ae1b6a4b96a52a410c20.pdf"]}, {"id": "5437b5cfb0f8eda908559a16e7ed7d7b64be641b", "title": "Face recognition by stepwise nonparametric margin maximum criterion", "year": "2005", "pdf": ["http://www.researchgate.net/profile/Xipeng_Qiu/publication/4193949_Face_recognition_by_stepwise_nonparametric_margin_maximum_criterion/links/02e7e52440c804c31d000000.pdf"]}, {"id": "02cfef55937103669a40710404ab5f0afd4498e8", "title": "Face verification competition on the XM2VTS database", "year": "2003", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/messer_2003_avbpa.pdf", "http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/icba2006/messer-avbpa2003.pdf"]}, {"id": "d9984fac91cb4f469cf36f140b6c8c07c45afe6f", "title": "Face Recognition Using LAPP Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d998/4fac91cb4f469cf36f140b6c8c07c45afe6f.pdf"]}, {"id": "5efbb135fd3a49de6ca1b69ef583d1bcfe761043", "title": "APPLICATION OF SUPPORT VECTOR MACHINES IN AUTOMATIC HUMAN FACE RECOGNITION", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/5efb/b135fd3a49de6ca1b69ef583d1bcfe761043.pdf"]}, {"id": "d38c564429502f0efece11e212bb1be03f05495d", "title": "Tracking Deceased-Related Thinking with Neural Pattern Decoding of a Cortical-Basal Ganglia Circuit.", "year": "2017", "pdf": ["http://dept.psych.columbia.edu/~kochsner/pdf/Schneck_et_al_BPCNNI_2017.pdf", "http://dept.psych.columbia.edu/~kochsner/pdf/Schneck_et_al_in_press_bio_psych.pdf", "http://liinc.bme.columbia.edu/wp-content/uploads/Biological-Psychiatry-Cognitive-Neuroscience-and-Neuroimaging-2017-Schneck-3.pdf", "http://www.tc.columbia.edu/media/centers/lte-lab/2017_Schneck-et-al_Biological-Psychiatry_CNNI.pdf"]}, {"id": "3076adf64a28eea92308541978f8ed6907fe2672", "title": "The functional architecture for face-processing expertise: FMRI evidence of the developmental trajectory of the core and the extended face systems", "year": "2013", "pdf": ["http://dnilab.org/Resources/Haist-et-al_2013_Face-Processing-Development.pdf", "http://isiarticles.com/bundles/Article/pre/pdf/39820.pdf"]}, {"id": "18c72175ddbb7d5956d180b65a96005c100f6014", "title": "From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/97bb/c2b439a79d4dc0dc7199d71ed96ad5e3fd0e.pdf"]}, {"id": "6d66c98009018ac1512047e6bdfb525c35683b16", "title": "Face Recognition Based on Fitting a 3D Morphable Model", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/6d66/c98009018ac1512047e6bdfb525c35683b16.pdf"]}, {"id": "4a763a6e161d372f17fa591c35932c4f62e3e12b", "title": "Facial feature extraction by a cascade of model-based algorithms", "year": "2008", "pdf": ["http://vca.ele.tue.nl/publications/data/Zuo2008a.pdf"]}, {"id": "5367610430dc0380dfbe8344e08537267875968c", "title": "Tracking 3 D Surfaces Using Multiple Cameras : A Probabilistic Approach", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5367/610430dc0380dfbe8344e08537267875968c.pdf"]}, {"id": "82b8a0c3e8f46ab0af5179a9d9a6b137405096d3", "title": "Generalized Low-Rank Approximations of Matrices Revisited", "year": "2010", "pdf": ["http://parnec.nuaa.edu.cn/jliu/papers/liu_tnn_10.pdf", "https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tnn10.pdf", "https://www.researchgate.net/profile/Songcan_Chen/publication/41509572_Generalized_low-rank_approximations_of_matrices_revisited/links/0046351406aaa5e8c6000000.pdf"]}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"]}, {"id": "35ccf703df2dd37fc857ab9b438e18c9a65ba5b9", "title": "Two-step supervised confidence measure for automatic face recognition", "year": "2014", "pdf": ["http://home.zcu.cz/~pkral/papers/mlsp_kral14.pdf"]}, {"id": "30d5bbfb35a0d534c39ba709a3c625e9965d2985", "title": "Assessing face image quality for smartphone based face recognition system", "year": "2017", "pdf": []}, {"id": "b755505bdd5af078e06427d34b6ac2530ba69b12", "title": "NFRAD: Near-Infrared Face Recognition at a Distance", "year": "2011", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Maengetal_NIFaceRecognitionDistance_IJCB11.pdf"]}, {"id": "217d22a63b45bb5960c614ede827fb5c532e0add", "title": "Neural mechanisms of concurrent stimulus processing in dual tasks", "year": "2009", "pdf": []}, {"id": "abb4b8f9df14f7b15aa43920d0329eccada33b97", "title": "LBP Yard\u0131m\u0131yla Go\u0308ru\u0308ntu\u0308deki Kis\u0327inin Yas\u0327\u0131n\u0131n Bulunmas\u0131", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/abb4/b8f9df14f7b15aa43920d0329eccada33b97.pdf"]}, {"id": "2a0a335d4b2183b03ea8dfc27e31a1891771c4e6", "title": "Glasses detection by boosting simple wavelet features", "year": "2004", "pdf": ["http://media.cs.tsinghua.edu.cn/~imagevision/papers/203_WU_B.pdf"]}, {"id": "6d10c110adaa381084c0b8ed2fd391d1fcd84a03", "title": "Feature Extraction Based on Equalized ULBP for Face Recognition", "year": "2012", "pdf": []}, {"id": 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"http://www.researchgate.net/profile/Songcan_Chen/publication/220602899_Making_FLDA_applicable_to_face_recognition_with_one_sample_per_person/links/0046351406aa757b8b000000.pdf", "https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr04a.pdf"]}, {"id": "6dd850acb928457ffd44e5d9dceb7946a7f0c6ee", "title": "Template-based matching using weight maps", "year": "2011", "pdf": ["https://arxiv.org/pdf/1104.2059.pdf"]}, {"id": "13425bb41d326982ec6b3c6f3034aa978a1300ac", "title": "Face Recognition for Smart Environments", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/1342/5bb41d326982ec6b3c6f3034aa978a1300ac.pdf"]}, {"id": "05a35959c6822155bee927305e799613ce99cc2f", "title": "New valve and bonding designs for microfluidic biochips containing proteins.", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/05a3/5959c6822155bee927305e799613ce99cc2f.pdf"]}, {"id": "edd6ed94207ab614c71ac0591d304a708d708e7b", "title": "Reconstructive discriminant analysis: A feature extraction 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Networks", "year": "2010", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Yoder10ClusterBased.pdf", "https://engineering.purdue.edu/RVL/movies/Josiah/Yoder10Cluster.pdf"]}, {"id": "7c0a6824b556696ad7bdc6623d742687655852db", "title": "MPCA+MDA: A novel approach for face recognition based on tensor objects", "year": "2010", "pdf": ["http://2010.telfor.rs/files/radovi//TELFOR2010_05_35.pdf", "http://2010.telfor.rs/files/radovi/TELFOR2010_05_35.pdf"]}, {"id": "34f60ecedeb798397849b171e2e8bcf46c9b7ada", "title": "An Efficient Face Recognition System based on the Combination of Pose Invariant and Illumination Factors", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/34f6/0ecedeb798397849b171e2e8bcf46c9b7ada.pdf"]}, {"id": "1cdcccde3ad98329ffca275a2696c13b1d03ba9f", "title": "On using periocular biometric for gender classification in the wild", "year": "2016", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/16239/10/J017_PRL16_preprint.pdf"]}, {"id": 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Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"]}, {"id": "1434c9140ba724c9a92f478781e890434e7a0215", "title": "The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/1434/c9140ba724c9a92f478781e890434e7a0215.pdf"]}, {"id": "548233d67f859491e50c5c343d7d77a7531d4221", "title": "Robust detection of outliers for projection-based face recognition methods", "year": "2007", "pdf": []}, {"id": "91b1a59b9e0e7f4db0828bf36654b84ba53b0557", "title": "Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition", "year": "2015", "pdf": ["http://www.kresttechnology.com/krest-academic-projects/krest-mtech-projects/ECE/MTech%20DSP%202015-16/MTech%20DSP%20BasePaper%202015-16/50.pdf"]}, {"id": "dc2c353fa43a75ec92327e323ba5715c400bf92b", "title": "Face Recognition in Hyperspectral Images", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/dc2c/353fa43a75ec92327e323ba5715c400bf92b.pdf"]}, {"id": "af54dd5da722e104740f9b6f261df9d4688a9712", "title": "Portability: A New Challenge on Designing Family Image Database.", "year": "2010", "pdf": []}, {"id": "ec90d333588421764dff55658a73bbd3ea3016d2", "title": "Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec90/d333588421764dff55658a73bbd3ea3016d2.pdf"]}, {"id": "00fb2836068042c19b5197d0999e8e93b920eb9c", "title": "Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00fb/2836068042c19b5197d0999e8e93b920eb9c.pdf"]}, {"id": "8e1d84e08109b5c692f7eff5cbc1816e5bdb00a3", "title": "Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9d67/61789aa33c2610c7ceebc4eea52a6c71c443.pdf"]}, {"id": "3516d0c6918bcf977ad004b337fb066a9d5a8e17", "title": "A Novel Face Hallucination with an Error Regression Model and MPCA in RGB Color Space", "year": "", "pdf": ["https://pdfs.semanticscholar.org/3516/d0c6918bcf977ad004b337fb066a9d5a8e17.pdf"]}, {"id": "c6ecb8e20250e3fa8ef2a5edd8fad4131f3e874f", "title": "EigenBody : Analysis of body shape for gender from noisy images", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c6ec/b8e20250e3fa8ef2a5edd8fad4131f3e874f.pdf"]}, {"id": "49a7949fabcdf01bbae1c2eb38946ee99f491857", "title": "A concatenating framework of shortcut convolutional neural networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00974.pdf"]}, {"id": "51173e0f31f362f3ea59ae3e98c5cdf31b2a2ec5", "title": "Face feature extraction and recognition based on discriminant subclass-center manifold preserving projection", "year": "2012", "pdf": ["http://www.ittc.ku.edu/~clan/papers/prl2012.pdf"]}, {"id": "a6190a778a4e343ceb60bbd738df1cce094e7332", "title": "Robust lip feature detection in facial images", "year": "2017", "pdf": []}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"]}, {"id": "b21b860cf21edb2e57f62b665203e5d8b64829d5", "title": "Extended feed forward neural networks with random weights for face recognition", "year": "2014", "pdf": []}, {"id": "418b106e1f072c4da400b516079f429d84cd7305", "title": "Model-based Face Computation Project Role in Support of Imsc Strategic Plan Discussion of Methodology Used", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/418b/106e1f072c4da400b516079f429d84cd7305.pdf"]}, {"id": "749146938bb9c953348e105acde9f261f15fb2cd", "title": "Learning the best subset of local features for face recognition", "year": "2007", "pdf": ["http://www.cmpe.boun.edu.tr/~ethem/files/papers/berk_patrec.pdf"]}, {"id": "367c571480ac46d48be050dee4e6103a0ebb5db5", "title": "Multimedia Content Based Image Retrieval Iii : Local Tetra", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/367c/571480ac46d48be050dee4e6103a0ebb5db5.pdf"]}, {"id": "c4330fabc238fa114f0b8e7b1c099e6565026cdf", "title": "Adaptive Context-Aware Filter Fusion for Face Recognition on Bad Illumination", "year": "2006", "pdf": []}, {"id": "214e544d3b01ddbc24e3093bbf186fdecc600342", "title": "Automated conformance testing for ISO/IEC 19794-5 Standard on facial photo specifications", "year": "2013", "pdf": []}, {"id": "5fac23560b5ba4d45045f1edd837ed4bb6c1f5ca", "title": "Optimization of a Face Verification System using Bayesian Screening Techniques.", "year": "2005", "pdf": []}, {"id": "471befc1b5167fcfbf5280aa7f908eff0489c72b", "title": "Class-Specific Kernel-Discriminant Analysis for Face Verification", "year": "2007", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/Goudelis07a.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/ieee_tifs_2007_goudelis.pdf"]}, {"id": "fb2ac6befd22fde3e6cff180d3431f02c81bc32a", "title": "Genetic optimisation of illumination compensation methods in cascade for face recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fb2a/c6befd22fde3e6cff180d3431f02c81bc32a.pdf"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"]}, {"id": "f09c9adff8f71c1be5ebbb1bb01d4d762aa385e9", "title": "A gender classification system robust to occlusion using Gabor features based (2D)2PCA", "year": "2014", "pdf": []}, {"id": "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "title": "Improved Face Recognition Rate Using HOG Features and SVM Classifier", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fc5/ab3743e6e9a2f4fe70152440e13a673e239b.pdf"]}, {"id": "e74c4cf90c5bbb88a8ae77aaa5709984f7e6a80f", "title": "Viewpoint Unconstrained Face Recognition Based on Affine Local Descriptors and Probabilistic Similarity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e74c/4cf90c5bbb88a8ae77aaa5709984f7e6a80f.pdf"]}, {"id": "cbefe7939bc7f44274ebbc161c14054b55db9af2", "title": "An Extended Local Binary Pattern for Gender Classification", "year": "2013", "pdf": ["http://www.cse.unr.edu/~monica/Research/Publications/Conferences/RoayaeiNicolescu_ISM_13.pdf"]}, {"id": "d6255a0db6f8f157c5c901d758c7a5f36416ab51", "title": "Face Recognition Using Gabor Wavelet Transform", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/d625/5a0db6f8f157c5c901d758c7a5f36416ab51.pdf"]}, {"id": "af80dfe0dacf992c49543a4bac53d1974cb70e2e", "title": "When Holistic Processing is Not Enough : Local Features Save the Day Lingyun Zhang", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/af80/dfe0dacf992c49543a4bac53d1974cb70e2e.pdf"]}, {"id": "197598af5be60fc75535c2f90849e60ac7122871", "title": "Fast multi-view face tracking with pose estimation", "year": "2002", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104830.pdf", "http://www.idiap.ch/~fleuret/papers/fleuret-geman-icpr2002.pdf", "https://infoscience.epfl.ch/record/100789/files/FaceTrackingPose.pdf", "https://infoscience.epfl.ch/record/138863/files/EUSIPCO08.pdf"]}, {"id": "e4afc03c818bc9e357ea2fb23ebf73496f1ffc81", "title": "Mafalda Libo\u0301rio Baio Morais Alves", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4af/c03c818bc9e357ea2fb23ebf73496f1ffc81.pdf"]}, {"id": "da61e3f62eda5e1cea027f73a156da36262722b0", "title": "Un nouvel ensemble de descripteurs de Fourier Clifford pour les images couleur. Les GCFD3", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fcb6/f1bac7b3c909ba6ae3a39e4ea097564064ec.pdf"]}, {"id": "6c964e59bdac6b8044993ca96b47a9a0addedfb8", "title": "First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08046.pdf"]}, {"id": "9c5c30e396b307010c374ef3730e84f6cf763205", "title": "Recent advances in visual and infrared face recognition - a review", "year": "2005", "pdf": ["http://imaging.utk.edu/publications/papers/2005/kong_cviu05.pdf", "https://www.imaging.utk.edu/publications/papers/2005/kong_cviu05.pdf"]}, {"id": "80c4f5bc43f21041343c6d7a61cdc281cb36be07", "title": "Information routing, correspondence finding, and object recognition in the brain", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/595b/e23477495891ec07fd5f5cd48b7fee5d7fe6.pdf"]}, {"id": "085913122bb75391ea8c73f2625f4679fe9cb3b1", "title": "Vector array based Multi-View Face Detection with compound exemplars", "year": "2012", "pdf": []}, {"id": "8ec7fff88b2e5b49154e6654e5e27f6678ddb7f0", "title": "On identification from periocular region utilizing SIFT and SURF", "year": "2014", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925709.pdf"]}, {"id": "7a9ef491914d515bb5570aa9b3a261d42d430b86", "title": "Excuse Me, Do I Know You From Somewhere? Unaware Facial Recognition Using Brain-Computer Interfaces", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7a9e/f491914d515bb5570aa9b3a261d42d430b86.pdf"]}, {"id": "076c97826df63f70d55ea11f0b7ae47a7ad81ad3", "title": "A Robust Face Recognition Algorithm Using Markov Stationary Features and Adjacent Pixel Intensity Difference Quantization Histogram", "year": "2011", "pdf": []}, {"id": "8028b9bc85b64f3b93d936ab2bd05ccf64a92bc3", "title": "Enhancement of face-sensitive ERPs in older adults induced by face recognition training", "year": "2018", "pdf": []}, {"id": "2c53cb4222cd9ccc868a07d494b8a4ce102658fa", "title": "Face recognition across pose: A review", "year": "2009", "pdf": ["http://maths.dur.ac.uk/users/kasper.peeters/pdf/face_recognition/Survey/Zhang09FaceRecogAcrossPoseReview.pdf", "https://research-repository.griffith.edu.au/bitstream/handle/10072/30193/60223_1.pdf;jsessionid=D7BADD83581C4220D3E57F54F5600A0F?sequence=1"]}, {"id": "bf4073f334902cd76608655b2d54a624ccdbface", "title": "Data extraction for user profile management based on behavior", "year": "2015", "pdf": []}, {"id": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"]}, {"id": "30457461333c8797457c18636732327e6dde1d04", "title": "Gender classification system for half face images using multi manifold discriminant analysis", "year": "2017", "pdf": []}, {"id": "3fbd68d1268922ee50c92b28bd23ca6669ff87e5", "title": "A shape- and texture-based enhanced Fisher classifier for face recognition", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/f563/6a8021c09870c350e7505c87625fe1681bd4.pdf"]}, {"id": "f77563386ac293620ce2b90b5d7250ab5d8f9f50", "title": "Regression-based Hypergraph Learning for Image Clustering and Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04150.pdf"]}, {"id": "d6dab84451254d7fbb5b9e1d40a7d2a92dec13b3", "title": "Enhanced Local Binary Patterns for Automatic Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03349.pdf"]}, {"id": "434300db45ea1b0b36b0c606ca728aaaed235275", "title": "The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4343/00db45ea1b0b36b0c606ca728aaaed235275.pdf"]}, {"id": "58493390be8aeeabbd974e3d81f7db49af1ceed1", "title": "Real-time eye detection using face-circle fitting and dark-pixel filtering", "year": "2004", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICME%202004/html/papers/P37261.pdf", "https://www.computer.org/csdl/proceedings/icme/2004/8603/02/01394426.pdf"]}, {"id": "3b1f8bf9e41b29d38968144ae9b2ae13a9bde731", "title": "Recognition invariance obtained by extended and invariant features", "year": "2004", "pdf": []}, {"id": "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "title": "Face recognition for web-scale datasets", "year": "2014", "pdf": ["http://briancbecker.com/files/downloads/publications/Ortiz_CVIU13.pdf", "http://crcv-web.eecs.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://crcv.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://www.enriquegortiz.com/publications/OrtizBecker_Webscale_CVIU.pdf"]}, {"id": "05f2c7cdaa237e42338e2f626af1fe79fcc4bf21", "title": "Optimized selection of benchmark test parameters for image watermark algorithms based on Taguchi methods and corresponding influence on design decisions for real-world applications", "year": "2003", "pdf": ["https://www.digimarc.com/docs/default-source/technology-resources/published-technical-papers/commercial-applications/dmrc_optimized_benchmark.pdf"]}, {"id": "449f93b4be37087236c6a13e9db4c1c323683a58", "title": "Abnormalities in early visual processes are linked to hypersociability and atypical evaluation of facial trustworthiness: An ERP study with Williams syndrome", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/449f/93b4be37087236c6a13e9db4c1c323683a58.pdf"]}, {"id": "0328b975b11fd4153010535d1a06cf618f9b0c91", "title": "Evaluating the complexity of databases for person identification and verification", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/0328/b975b11fd4153010535d1a06cf618f9b0c91.pdf"]}, {"id": "1fee632cad6a3853cc43621ba50161f5dd6263e5", "title": "Gated classifiers: Boosting under high intra-class variation", "year": "2011", "pdf": ["http://www.csc.kth.se/~osda02/files/danielssonCVPR11poster.pdf", "http://www.researchgate.net/profile/Babak_Rasolzadeh/publication/221361503_Gated_classifiers_Boosting_under_high_intra-class_variation/links/02e7e51afbefb14f8b000000.pdf"]}, {"id": "af6b14c0bf427b22baffc06a0bd515b30649d8c3", "title": "Face recognition using kernel scatter-difference-based discriminant analysis", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/af6b/14c0bf427b22baffc06a0bd515b30649d8c3.pdf"]}, {"id": "7eed1dbf1d09dd48f75ae25c5e39182afae6862f", "title": "A New Performance Evaluation Method for Face Identification - Regression Analysis of Misidentification Risk", "year": "2007", "pdf": []}, {"id": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.pdf"]}, {"id": "97e5beb344cc68fbfe19a34e061f886c962c81e4", "title": "Representing and Learning High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Park_Representing_and_Learning_CVPR_2018_paper.pdf"]}, {"id": "09718bf335b926907ded5cb4c94784fd20e5ccd8", "title": "Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble", "year": "2005", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tnn05.pdf", "http://parnec.nuaa.edu.cn/papers/journal/2005/xtan-TNN05.pdf", "http://www.researchgate.net/profile/Songcan_Chen/publication/7638460_Recognizing_partially_occluded_expression_variant_faces_from_single_training_image_per_person_with_SOM_and_soft_kappa-NN_ensemble/links/0046351406aaacc8d8000000.pdf"]}, {"id": "e9d426570413ba96abe769e8fc305d7f0cca6723", "title": "Bayesian face recognition and perceptual narrowing in face-space.", "year": "2012", "pdf": ["http://cst.dk/anders/courses/pao-balas.pdf"]}, {"id": "7bfc38e15589f9ffb471e152297f5419fdc9ba8d", "title": "Gender classification using M-estimator based radial basis function neural network", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/51171/51171.pdf"]}, {"id": "98960be5ae51d30118f091f7091299a49f2f34bb", "title": "1 GLOBAL AND FEATURE BASED GENDER CLASSIFICATION OF FACES : A COMPARISON OF HUMAN PERFORMANCE AND COMPUTATIONAL MODELS", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/9896/0be5ae51d30118f091f7091299a49f2f34bb.pdf"]}, {"id": "2fe5bea76853da079512595fb8bdd74ef4ccf12f", "title": "Face recognition using two-dimensional nonnegative principal component analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fe5/bea76853da079512595fb8bdd74ef4ccf12f.pdf"]}, {"id": "13a82da2bfa24583caf78ab1d14b5cfa4798b3b3", "title": "Robust face hallucination using quantization-adaptive dictionaries", "year": "2016", "pdf": ["https://www.um.edu.mt/__data/assets/file/0005/289445/icip_paper.pdf", "https://www.um.edu.mt/__data/assets/file/0006/289446/icip_2016.pdf"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"]}, {"id": "60cdd2ae71d39f2a8a3c6d4c22284a602428b347", "title": "Image of face captured Face Detection and localization Feature extraction Learning Classification Decision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/60cd/d2ae71d39f2a8a3c6d4c22284a602428b347.pdf"]}, {"id": "0098f42c6f24d5e6d2471c1d7d1e864ff8e83226", "title": "Review on Face Recognition across Age Progression", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0098/f42c6f24d5e6d2471c1d7d1e864ff8e83226.pdf"]}, {"id": "591db404f6d8e3f37c12752b0f9173ff1a475598", "title": "Eigentransformation-based face super-resolution in the wavelet domain", "year": "2012", "pdf": []}, {"id": "4da80ad59adbe530838b5685935b488edab07c7d", "title": "Effective Proximity Retrieval by Ordering Permutations", "year": "2008", "pdf": ["http://www.dcc.uchile.cl/~gnavarro/algoritmos/ps/tpami07.pdf", "http://www.researchgate.net/profile/Karina_Figueroa2/publication/5234381_Effective_proximity_retrieval_by_ordering_permutations/links/00463520a25f1478b5000000.pdf", "https://www.dcc.uchile.cl/~gnavarro/ps/tpami07.long.pdf", "https://www.dcc.uchile.cl/~gnavarro/ps/tpami07.pdf"]}, {"id": "7aa83aee1e8b2da7ec90c67e63161c24e85f4ba1", "title": "Face Image Classification by Pooling Raw Features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1406.6811.pdf"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"]}, {"id": "f07468f7b23a4b5740787a7d9d2c7706991b51ed", "title": "A Continuos Learning for a Face Recognition System", "year": "2011", "pdf": []}, {"id": "c45183ec95f89aff793a2629a0520006b4153d6a", "title": "Entropy-based template analysis in face biometric identification systems", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c451/83ec95f89aff793a2629a0520006b4153d6a.pdf"]}, {"id": "ccb54fc5f263a8bc2a8373839cb6855f528f10d3", "title": "A realistic virtual environment for evaluating face analysis systems under dynamic conditions", "year": "2016", "pdf": ["http://repositorio.uchile.cl/bitstream/handle/2250/138414/A-realistic-virtual-environment.pdf;jsessionid=A6322AF03A70650E441E0B4185CB41C8?sequence=1"]}, {"id": "bad65ef11c58c3660febb98abbe9f86e2b8fce11", "title": "Object Localization Based on Mutual Information in Global Structure Constraint Model", "year": "2008", "pdf": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"]}, {"id": "bcf52629788e210f9c87945fa9cf792609e9154a", "title": "\u00d0 \u00d7\u00fd\u00f1\u00f1\u00f1\u00f8\u00f6\u00fd \u00c9\u00f9\u00f9\u00f2\u00f8\u00f8\u00ac\u00ac\u00ac\u00f8\u00f8\u00f3\u00f2 \u00d3\u00f6 \u00dc\u00f4\u00f6\u00f6\u00d7\u00d7\u00d7\u00f3\u00f2 \u00c1\u00f2\u00fa\u00f6\u00f6\u00f6\u00f2\u00f8 \u00c0\u00f9\u00f1\u00f1\u00f2 \u00c1\u00e1\u00e1\u00f2\u00f8\u00f8\u00ac\u00ac\u00ac\u00f8\u00f8\u00f3\u00f2 \u00a3", "year": "", "pdf": ["https://pdfs.semanticscholar.org/bcf5/2629788e210f9c87945fa9cf792609e9154a.pdf"]}, {"id": "a66d99ea07f72281a6e510eb2a9fd4b0973e16d0", "title": "Object Localization Based on Global Structure Constraint Model and Optimal Algorithm", "year": "2008", "pdf": []}, {"id": "68d7be102d8b298d172d120d5a7ae1bfd5b8ffb9", "title": "(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition", "year": "2005", "pdf": []}, {"id": "15dea987f66386be14b7811f1f27784f3ed9e9c0", "title": "Face Detection with Mixtures of Boosted Discriminant Features", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/15de/a987f66386be14b7811f1f27784f3ed9e9c0.pdf"]}, {"id": "9401465784cb5107cabb87d7c2ffc0a594e1dafe", "title": "Generalized YAST algorithm for signal subspace tracking", "year": "2015", "pdf": []}, {"id": "0ba67a76c6e7d37d3fdc0017cd40a68e503168f1", "title": "Improve recognition performance by hybridizing principal component analysis (PCA) and elastic bunch graph matching (EBGM)", "year": "2014", "pdf": []}, {"id": "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "title": "Discriminative transfer learning for single-sample face recognition", "year": "2015", "pdf": ["http://hujunlin.cn/papers/DTL_ICB15.pdf", "https://pdfs.semanticscholar.org/7d0c/b85f9f63afc23ce42b92337b12ef91fc091e.pdf"]}, {"id": 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Recognition Systems", "year": "2016", "pdf": []}, {"id": "a9f15f6a6d94e5fa421e592ce1e577d1966af954", "title": "Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation", "year": "2008", "pdf": []}, {"id": "5828c50ddde3b819403ca9c447f65d0a2accaec8", "title": "Recognizing face or object from a single image: linear vs. kernel methods on 2d patterns", "year": "2006", "pdf": ["http://parnec.nuaa.edu.cn/papers/conference/2006/dqzhang-S+SSPR06.pdf"]}, {"id": "843f873c08df64431baefd79e83e4b70236427de", "title": "Exploring and Understanding the High Dimensional and Sparse Image Face Space : a Self-Organized Manifold Mapping", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/843f/873c08df64431baefd79e83e4b70236427de.pdf"]}, {"id": "ed5fdbecb5f655333b3e24d448a9665d18e6b5cd", "title": "Effects of aging on the neural correlates of successful item and source memory encoding.", "year": "2008", "pdf": 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["http://www.cs.ust.hk/~achung/icip09_liao_chung.pdf", "http://www.cse.ust.hk/~achung/icip09_liao_chung.pdf"]}, {"id": "8e16ca7a91aea52788f1ed5ce12c906117a56cb4", "title": "Face hallucination based on sparse local-pixel structure", "year": "2014", "pdf": []}, {"id": "ffeff854e7fcf5af663497be00c86537f7d9ed11", "title": "Face recognition in JPEG compressed domain: a novel coefficient selection approach", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ffef/f854e7fcf5af663497be00c86537f7d9ed11.pdf"]}, {"id": "c20ac2441e6ec29ae926d3c5605b71ce10ef6dff", "title": "Heterogeneous image transformation", "year": "2013", "pdf": ["https://nannanwang.github.io/My_Papers/PRL2013.pdf"]}, {"id": "ff60f453888ac00a0e0b6f1649c1a699515a955f", "title": "Fast and Accurate Face Recognition Using Support Vector Machines", "year": "2005", "pdf": []}, {"id": "47d32615dc396dece539b664969d2e102f5b0f63", "title": "Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction", "year": "2015", "pdf": []}, {"id": "9a5e36c0f9b802cd346e3225c0b04ab9dda496d1", "title": "Evolutionary Classifier Fusion for Optimizing Face Recognition", "year": "2007", "pdf": []}, {"id": "e8a5800db4b7609e3a55ec4b904b263cd359df2e", "title": "Face Recognition using Neural Network and Eigenvalues with Distinct Block Processing", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8a5/800db4b7609e3a55ec4b904b263cd359df2e.pdf"]}, {"id": "144523508d89f164c61924a4c4fa6946fb5545f5", "title": "A Comparison of Gabor Filter Methods for Automatic Detection of Facial Landmarks", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/1445/23508d89f164c61924a4c4fa6946fb5545f5.pdf"]}, {"id": "8009291e2f52d8bc586b5e0be9aa1b91ce12c711", "title": "A Configurable Multibiometric System for Authentication at Different Security Levels Using Mobile Devices", "year": "2016", "pdf": []}, {"id": "f59ccad6b7f76bd8cd5d6bbf867b2236c9b01e02", "title": "Comparison of three face recognition algorithms", "year": "2012", "pdf": []}, {"id": "a0b2df8f72ff672cb0760c5221657a5f48f0ec5d", "title": "Searching Image Databases Using Appearance Models", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0b2/df8f72ff672cb0760c5221657a5f48f0ec5d.pdf"]}, {"id": "4cfae149d6acd8cffc12c06ed796f1f84dce0e73", "title": "Face Recognition Based on Image Latent Semantic Analysis Model and SVM", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4cfa/e149d6acd8cffc12c06ed796f1f84dce0e73.pdf"]}, {"id": "2713423d87d011c0a5aae99bef57523769121a1d", "title": "A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2713/423d87d011c0a5aae99bef57523769121a1d.pdf"]}, {"id": "42afe5fd3f7b1d286a20e9306c6bc8624265f658", "title": "FACE DETECTION USING THE 3\u00d73 BLOCK RANK PATTERNS OF GRADIENT MAGNITUDE IMAGES", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/42af/e5fd3f7b1d286a20e9306c6bc8624265f658.pdf"]}, {"id": "4cbf873d3d359200267a3bc33d45c442061f6989", "title": "Robust FFT-Based Scale-Invariant Image Registration with Image Gradients", "year": "2010", "pdf": ["http://www.ejournal.aessangli.in/ASEEJournals/EC168.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/ieee_tpami_2010.pdf"]}, {"id": "a82b47e94a8982b9c1ca4bfab54ddeaf856d0be3", "title": "Gender Classification Using Local Directional Pattern (LDP)", "year": "2010", "pdf": []}, {"id": "2df6aa6dd2683fb35f7dcd8536d7b67fb72ede12", "title": "What drives social in-group biases in face recognition memory? ERP evidence from the own-gender bias.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2df6/aa6dd2683fb35f7dcd8536d7b67fb72ede12.pdf"]}, {"id": "27c59f06bc62ea85e828228c1bb359e06f9232d8", "title": "Face detection with boosted Gaussian features", "year": "2007", "pdf": ["http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LLU_080606122132.pdf", "https://infoscience.epfl.ch/record/87373/files/sdarticle.pdf"]}, {"id": "4a1a5316e85528f4ff7a5f76699dfa8c70f6cc5c", "title": "Face Recognition using Local Features based on Two-layer Block Model", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/4a1a/5316e85528f4ff7a5f76699dfa8c70f6cc5c.pdf"]}, {"id": "4ccae36f78c660c9fc01959e28e676142c5f8a7d", "title": "KCCA-based technique for profile face identification", "year": "2017", "pdf": []}, {"id": "4344413b7814b2ba99cc79ead2903f259e98ed4b", "title": "Modelling Uncertainty in Representation of Facial Features for Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dc27/1b25f54e13cc38a7d11bab8f3fd6a66dfe0a.pdf"]}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.pdf"]}, {"id": "d6f49b63e4e285ff2bb3ba92e1e10287d407d6c0", "title": "Tasks determine what is learned in visual statistical learning.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d6f4/9b63e4e285ff2bb3ba92e1e10287d407d6c0.pdf"]}, {"id": "64699c4546b66323d4af7d1e44ddb5912991c00c", "title": "Design and Performance Evaluation of Robust Digital Audio Watermarking under Low Bits Rates", "year": "2015", "pdf": []}, {"id": "fa2f0577f07fdbe6076ccc6e5a9f54eab5247d53", "title": "Fast PCA-based face recognition on GPUs", "year": "2013", "pdf": []}, {"id": "749382d19bfe9fb8d0c5e94d0c9b0a63ab531cb7", "title": "A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/7493/82d19bfe9fb8d0c5e94d0c9b0a63ab531cb7.pdf"]}, {"id": "dfe97eb3304660c252c94c7eed6fc1c0970191ce", "title": "Robust Discriminant Analysis of Gabor Feature for Face Recognition", "year": "2007", "pdf": []}, {"id": "21f7980a22300983e1cb0fa02a9c300045a08740", "title": "Methodological improvement on local Gabor face recognition based on feature selection and enhanced Borda count", "year": "2011", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Methodogical%20improvement%20on%20local%20Gabor%20face%20recognition%20based%20on%20feature%20selection.pdf", "http://www.cec.uchile.cl/~clperez/papers/Methodological%20improvement%20on%20local%20Gabor%20face%20recognition%20based%20on%20feature%20selection%20and%20enhanced%20Borda%20count.pdf", "https://pdfs.semanticscholar.org/21f7/980a22300983e1cb0fa02a9c300045a08740.pdf"]}, {"id": "f209ac3162ad9443f80dac257427f60913be78df", "title": "Dual LDA - an effective feature space reduction method for face recognition", "year": "2005", "pdf": []}, {"id": "003f161768db4b70358971d40eb8e1ad535f001f", "title": "Face recognition from single sample based on human face perception", "year": "2009", "pdf": []}, {"id": "dc4289ca959b36f745d8e4b9383b673e2b95db47", "title": "Infants\u2019 experience-dependent processing of male and female faces: Insights from eye tracking and event-related potentials", "year": "2014", "pdf": ["https://dash.harvard.edu/bitstream/handle/1/27002084/nihms-538412.pdf?isAllowed=y&sequence=1"]}, {"id": "25fce91ce1b974865506c14d2e4714d8db2672d1", "title": "Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation", "year": "2012", "pdf": ["http://people.csail.mit.edu/hmobahi/pubs/faces_pami2012.pdf", "http://perception.csl.illinois.edu/recognition/Files/faces_system.pdf", "http://www.columbia.edu/~jw2966/papers/WWGZMM12-PAMI.pdf", "http://yima.csl.illinois.edu/psfile/PAMI-facesystem.pdf"]}, {"id": "0f00a04c4a8c92e070b50ab411df4cd31d2cbe97", "title": "Face recognition with one training image per person", "year": "2002", "pdf": ["http://cs.nju.edu.cn/wujx/paper/patrec2143.pdf", "http://parnec.nuaa.edu.cn/papers/journal/2004/schen-PRL04.pdf", "http://parnec.nuaa.edu.cn/zhangdq/prl04.pdf"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "4d4be112c180d5a4484fe6e17e506ad6e1853f08", "title": "Improving long range and high magnification face recognition: Database acquisition, evaluation, and enhancement", "year": "2008", "pdf": ["http://imaging.utk.edu/publications/papers/2007/CVIU_sdarticle_yy.pdf", "https://www.imaging.utk.edu/publications/papers/2007/CVIU_sdarticle_yy.pdf"]}, {"id": "711f6446d0b3897b892c5c19c7d88fe50424eef9", "title": "High and low performers differ in the use of shape information for face recognition", "year": "2013", "pdf": []}, {"id": "3c47022955c3274250630b042b53d3de2df8eeda", "title": "Discriminant analysis with tensor representation", "year": "2005", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2005/01467312.pdf"]}, {"id": "36018404263b9bb44d1fddaddd9ee9af9d46e560", "title": "OCCLUDED FACE RECOGNITION BY USING GABOR FEATURES", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/3601/8404263b9bb44d1fddaddd9ee9af9d46e560.pdf"]}, {"id": "25afa24d85e693351bad795ee1c3e801d10c4a15", "title": "Anisotropic Gaussian Filters for Face Class Modeling August 31 , 2006", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/25af/a24d85e693351bad795ee1c3e801d10c4a15.pdf"]}, {"id": "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "title": "Review on the effects of age, gender, and race demographics on automatic face recognition", "year": "2017", "pdf": []}, {"id": "0c4a139bb87c6743c7905b29a3cfec27a5130652", "title": "The FERET Verification Testing Protocol for Face Recognition Algorithms", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/8d2a/1c768fce6f71584dd993fb97e7b6419aaf60.pdf"]}, {"id": "1a66f37f37e4fbf9a8e657853933539256bbda88", "title": "Spectral Clustering by Joint Spectral Embedding and Spectral Rotation.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a66/f37f37e4fbf9a8e657853933539256bbda88.pdf"]}, {"id": "53d8946fd7dcc9e35ddf92096b372c8988c0cce9", "title": "Wavelet packet analysis for face recognition", "year": "2000", "pdf": ["http://www.csd.uoc.gr/~tziritas/papers/ivc.pdf"]}, {"id": "ac6f23544161c723567812f96a4cd71ed47041fc", "title": "On solving the face recognition problem with one training sample per subject", "year": "2006", "pdf": ["http://www.comm.toronto.edu/~kostas/Publications2008/pub/90.pdf", "https://www.comm.utoronto.ca/~kostas/Publications2008/pub/90.pdf"]}, {"id": "d944ff789af84cecc0a913da964e017408687d62", "title": "Image Parsing: Segmentation, Detection, and Recognition", "year": "2003", "pdf": []}, {"id": "adefabe194863b4f764ec982e3120554165c841c", "title": "Radius based Block Local Binary Pattern on T-Zone Face Area for Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/adef/abe194863b4f764ec982e3120554165c841c.pdf"]}, {"id": "3c4014886b3aa01024e3a1e81823a95a57fcf215", "title": "Functional Alterations in Order Short-Term Memory Networks in Adults With Dyslexia.", "year": "2015", "pdf": []}, {"id": "a7f26379346be7c7d4b5511bad7de534c689273e", "title": "Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual Training", "year": "2017", "pdf": []}, {"id": "fed593e37a3f06619e5443c4124db0620d064c51", "title": "2D facial landmark model design by combining key points and inserted points", "year": "2015", "pdf": ["http://www.yongxu.org/paper/2D%20facial%20landmark%20model%20design%20by%20combining%20key%20points%20and%20inserted%20points.pdf"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"]}, {"id": "fb1919aeaa26f2c559268c52deb68463ee58abee", "title": "Local matching Gabor entropy weighted face recognition", "year": "2011", "pdf": []}, {"id": "9f5fbc661ce13d1f946f5d3c5b194aab71e0511b", "title": "Combining local similarity measures: summing, voting, and weighted voting", "year": "2005", "pdf": []}, {"id": "783f22f9ad77e437438f24f2d0a7c1397468ec88", "title": "A New Quadratic Classifier Applied to Biometric Recognition", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/783f/22f9ad77e437438f24f2d0a7c1397468ec88.pdf"]}, {"id": "309e17e6223e13b1f76b5b0eaa123b96ef22f51b", "title": "Face recognition based on a 3D morphable model", "year": "2006", "pdf": ["http://mi.informatik.uni-siegen.de/publications/fg06_blanz.pdf", "https://static.aminer.org/pdf/PDF/000/337/771/image_synthesis_and_face_recognition_based_on_d_face_model.pdf"]}, {"id": "420921277310ea97a819e676f626dedec734d4c7", "title": "On the Dimensionality of Face Space", "year": "2007", "pdf": ["http://physiology.med.cornell.edu/faculty/nirenberg/lab/marsha/OnDimensionalityOfFaceSpace.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/tychiu/200803111733/on_the_dimensionality_of_face_space.pdf", "http://www.brown.edu/academics/applied-mathematics/sites/brown.edu.academics.applied-mathematics/files/uploads/On%20the%20Dimensionality%20of%20Face%20Space.pdf"]}, {"id": 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"Passive Three Dimensional Face Recognition Using Iso-Geodesic Contours and Procrustes Analysis", "year": "2013", "pdf": ["http://live.ece.utexas.edu/publications/2013/Sina%20IJCV%20Passive%203D%20Face%20Recognition%20Using%20Iso_Geodesic%20Contours.pdf"]}, {"id": "c4c4e5ff454584ae6a68d25b36bfc860e9a893a0", "title": "Real-Time Facial Recognition System\u2014Design, Implementation and Validation", "year": "2013", "pdf": ["http://www.uscip.org/paper/jspta/JSPTA%20-%20Real-Time%20Facial%20Recognition%20System-Design%20Implementation%20and%20Validation.pdf"]}, {"id": "aeb4cb00f0ab02b5a082daebac959d29e254dd8b", "title": "A Region-Based Scheme Using RKLT and Predictive Classified Vector Quantization", "year": "1999", "pdf": []}, {"id": "f4c768a8f9ae211168acafed36d371d793e768b3", "title": "Statistical shape modelling for expression-invariant face analysis and recognition", "year": "2014", "pdf": []}, {"id": "6f0b8920d39ac44eea320a4df2763137a71d851c", "title": "Face Verification using External 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"https://maxwell.ict.griffith.edu.au/cvipl/pdfs/ICPR2014.pdf", "https://research-repository.griffith.edu.au/bitstream/handle/10072/66408/99224_1.pdf;jsessionid=8E39EE1C0935CA2F85617BC5F944E7DF?sequence=1"]}, {"id": "e8aa9aac39456a422bd7a1a87f943af5856e9ad2", "title": "A novel scheme of face verification using active appearance models", "year": "2005", "pdf": []}, {"id": "1cd584f519d9cd730aeef1b1d87f7e2e82b4de59", "title": "A fully automatic face recognition system using a combined audio-visual approach \u2217", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/1cd5/84f519d9cd730aeef1b1d87f7e2e82b4de59.pdf"]}, {"id": "6e261b9e539ecd03d76063f893d59c6eafb6ed43", "title": "On the Use of External Face Features for Identity Verification", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/6e26/1b9e539ecd03d76063f893d59c6eafb6ed43.pdf"]}, {"id": "f5edbb47a9a200c17f0c34ec8cb6fc4a2f9cfc20", "title": "Method of multimodal biometric data analysis for optimal efficiency evaluation 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( L'apprentissage de similarit\u00e9 triangulaire en utilisant des r\u00e9seaux siamois)", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e735/b8212d8a81909753291d5d06789a917014f8.pdf"]}, {"id": "adee5054f386c6eb8ca83417c9b9ce4571aa2633", "title": "2.5D face recognition using Patch Geodesic Moments", "year": "2012", "pdf": ["https://maxwell.ict.griffith.edu.au/cvipl/pdfs/PR2011.pdf", "https://www.researchgate.net/profile/Yongsheng_Gao2/publication/220599327_2.5D_face_recognition_using_Patch_Geodesic_Moments/links/0deec51cec8947f5b1000000.pdf"]}, {"id": "29c9af31eb125b696ce34d0a8c64382f7e97bf23", "title": "Vision based tracking and recognition of dynamic hand gestures", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/967e/4cbb879e43c0881950060254cdb798149ba9.pdf"]}, {"id": "0f0fcf041559703998abf310e56f8a2f90ee6f21", "title": "The FERET Evaluation Methodology for Face-Recognition Algorithms", "year": "1997", "pdf": 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"Tensor Discriminant Color Space for Face Recognition", "year": "2011", "pdf": ["http://sujingwang.name/publication/tip11.pdf"]}, {"id": "b277bde51641d6b08693c171aea761beb14af800", "title": "FACE KERNEL EXTRACTION FROM LOCAL FEATURES", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/b277/bde51641d6b08693c171aea761beb14af800.pdf"]}, {"id": "281be1be2f0ecce173e3678a7e87419f0815e016", "title": "Studies of Plain-to-Rolled Fingerprint Matching Using the NIST Algorithmic Test Bed ( ATB ) NISTIR 7112", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/281b/e1be2f0ecce173e3678a7e87419f0815e016.pdf"]}, {"id": "87c6ba55b0f817de4504e39dbb201842ae102c9f", "title": "Three Dimensional Face Recognition Using Iso-Geodesic and Iso-Depth Curves", "year": "2008", "pdf": ["http://live.ece.utexas.edu/publications/2008/sj_btas2008.pdf"]}, {"id": "db6d00f9237cce392c08b422662b48baa2ed1b80", "title": "A New Framework for Biometric Face Recognition Using Visual", "year": "2012", "pdf": 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"1e8eee51fd3bf7a9570d6ee6aa9a09454254689d", "title": "Face Search at Scale", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf"]}, {"id": "513505f2fd1b929ccea1de0dd4499f239815b2cc", "title": "Biometric Authentication for Border Control Applications", "year": "2008", "pdf": []}, {"id": "d341ff4e93ff4407251d00417c9a756a68b6f5be", "title": "Recognition of identical twins using fusion of various facial feature extractors", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d341/ff4e93ff4407251d00417c9a756a68b6f5be.pdf"]}, {"id": "7189d5584416ef2a39d6ab16929dfecdddc10081", "title": "A Review of Face Sketch Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7189/d5584416ef2a39d6ab16929dfecdddc10081.pdf"]}, {"id": "3961ad661e7f1af75941b156ae3e0387dfcb1a49", "title": "A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition", "year": "2011", "pdf": 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based face recognition", "year": "2011", "pdf": ["http://www.researchgate.net/profile/Konstantinos_Plataniotis/publication/222563572_A_comparative_study_of_preprocessing_mismatch_effects_in_color_image_based_face_recognition/links/09e4150c09dc7446c6000000.pdf"]}, {"id": "1455591d81c4ddabfe31de9f57f53e9b91e71fa2", "title": "Discriminant Dual-Tree Complex Wavelet Features for Face Recognition", "year": "2008", "pdf": []}, {"id": "8fe9cd45280696574a6afc10e5a06eb1888d82ee", "title": "Illumination Invariant Face Recognition Using Thermal Infrared Imagery", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/8fe9/cd45280696574a6afc10e5a06eb1888d82ee.pdf"]}, {"id": "60cdcf75e97e88638ec973f468598ae7f75c59b4", "title": "Face Annotation Using Transductive Kernel Fisher Discriminant", "year": "2008", "pdf": ["http://research.larc.smu.edu.sg/mlg/papers/TMM08TKFD.pdf", "http://www.cs.cuhk.hk/~lyu/paper_pdf/tmm08face.pdf", "http://www.cse.cuhk.edu.hk/~lyu/paper_pdf/tmm08face.pdf"]}, {"id": "608dfcdbb393f44d4ae1520f6c6fdd736cee337c", "title": "Empirical Performance Analysis of Linear Discriminant Classifiers", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/608d/fcdbb393f44d4ae1520f6c6fdd736cee337c.pdf"]}, {"id": "38edcd91ef2ace3b3dca4c49a22d20a156f62385", "title": "Hierarchical Shape Modeling for Automatic Face Localization", "year": "2002", "pdf": ["http://people.csail.mit.edu/celiu/pdfs/ECCV_HSM.pdf"]}, {"id": "830e5b1043227fe189b3f93619ef4c58868758a7", "title": "A survey on face detection in the wild: Past, present and future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"]}, {"id": "26779e1152bcb0072eda2abf4262c72fcfbcda2e", "title": "Color Face Recognition for Degraded Face Images", "year": "2009", "pdf": ["https://www.researchgate.net/profile/Konstantinos_Plataniotis/publication/24248178_Color_face_recognition_for_degraded_face_images/links/0912f50fd7dfa1dc87000000.pdf"]}, {"id": 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Complexity-Aware Local Features", "year": "2014", "pdf": ["http://www.sfu.ca/~hra15/ICPR_2014.pdf"]}, {"id": "b8e35566129299c3591af0fd4f127e5e0d0b5774", "title": "3D Facial Image Comparison using Landmarks", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/b8e3/5566129299c3591af0fd4f127e5e0d0b5774.pdf"]}, {"id": "09333e0dcb709b1f67dd86fc308b604231627278", "title": "View-invariant Estimation of Height and Stride for Gait Recognition", "year": "2002", "pdf": ["http://www.cs.umd.edu/~chiraz/biomet02.pdf"]}, {"id": "c57d84d3af11ccd02c0186b4f66d312576cea696", "title": "Detecting driver inattention by rough iconic classification", "year": "2013", "pdf": []}, {"id": "055d3a41298fe36e0dab50c19d0c43eab5d1c020", "title": "Choosing Parameters of Kernel Subspace LDA for Recognition of Face Images Under Pose and Illumination Variations", "year": "2007", "pdf": ["http://www.csee.wvu.edu/~richas/ML-Papers/KLDA.pdf"]}, {"id": "41c56c69b20b3f0b6c8a625009fc0a4d317e047a", "title": "Integral 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Filter Convolution Descriptor for Face Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1604.07057.pdf"]}, {"id": "816283d4313775c8a659edce08e5e10d75a338b3", "title": "FINDING STRUCTURE WITH RANDOMNESS : STOCHASTIC ALGORITHMS FOR CONSTRUCTING APPROXIMATE MATRIX DECOMPOSITIONS", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/96fd/2bc2e6f19dda015cee9bf9dd16043b7b25ee.pdf"]}, {"id": "69c03f69ddf77586f83bf13d473abf53a70e6793", "title": "EigenFaces Image normalization : rotation , scale and intensity Eye coordinates + input frame Voting method Person identity DCT HMM Face extraction Recognition Modules", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/69c0/3f69ddf77586f83bf13d473abf53a70e6793.pdf"]}, {"id": "08ae1f8dea9b5ce7923db6469443f43f2c290510", "title": "Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition", "year": "2015", "pdf": 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"https://pdfs.semanticscholar.org/1f25/51b2acfb6895e91e39ae36a51335893a849f.pdf"]}, {"id": "0f1cbe4e26d584c82008ccef9fb1e4669b82de1f", "title": "Stability as performance metric for subjective pattern recognition - application of Electoral College in face recognition", "year": "2008", "pdf": []}, {"id": "2a8fa4e068968915f65c4f127167d485d0299b39", "title": "Parametric and Nonparametric Methods for the Statistical Evaluation of Human ID Algorithms", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/2a8f/a4e068968915f65c4f127167d485d0299b39.pdf"]}, {"id": "0b302889378874925891387fd5b97f3e3de6dcea", "title": "A discriminative feature space for detecting and recognizing faces", "year": "2004", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/pdf_500.pdf"]}, {"id": "73a682a9bd0546c7507feb00f15627e561752df4", "title": "1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?", "year": "2008", "pdf": ["http://www.eecs.qmul.ac.uk/~jason/Research/PreprintVersion/1D-LDA%20vs.%202D-LDA%20When%20is%20vector-based%20linear%20discriminant%20analysis%20better%20than%20matrix-based.pdf"]}, {"id": "8606b6cc617968026a492da963d151f2a5def5e8", "title": "Dynamic Laplacian Principle Component Analysis on Objective Space", "year": "2008", "pdf": []}, {"id": "32b33aa8b5f5f26487b7bf39c3da16e5deec25c4", "title": "Scale Normalized Radial Fourier Transform as a Robust Image Descriptor", "year": "2014", "pdf": []}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": []}, {"id": "492ad82db287f3dca28c42e10da2dd98d3397bb1", "title": "Robust face recognition using wavelet transform and autoassociative neural network", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/492a/d82db287f3dca28c42e10da2dd98d3397bb1.pdf", 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["https://pdfs.semanticscholar.org/5860/cf0f24f2ec3f8cbc39292976eed52ba2eafd.pdf"]}, {"id": "cf3250327b9c7437c3ef95b868ce19a0e35f6d82", "title": "The Design and Implementation of a Performance Evaluation Tool for the Face Recognition System", "year": "2007", "pdf": []}, {"id": "8897dd825230695a8a669b29a4d1b284373adb31", "title": "Face Recognition using Co-occurrence Matrix of Local Average Binary Pattern ( CMLABP )", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8897/dd825230695a8a669b29a4d1b284373adb31.pdf"]}, {"id": "290136947fd44879d914085ee51d8a4f433765fa", "title": "On a taxonomy of facial features", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KlareJain_TaxonomyFacialFeatures_BTAS10.pdf"]}, {"id": "7c1e8013bb56add82a0b3ec8df38cdf09ca9d002", "title": "The FN400 indexes familiarity-based recognition of faces", "year": "2007", "pdf": ["http://psych.colorado.edu/~tcurran/Curran_Hacock_2007+.pdf", "http://psych.colorado.edu/~tcurran/Curran_Hacock_2007.pdf"]}, {"id": "889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7", "title": "Using Support Vector Machines to Enhance the Performance of Bayesian Face Recognition", "year": "2007", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2007/IFS07_face.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/clhsu/200706211216/Using_Support_Vector_Machines_to_Enhance_the_Performance.pdf"]}, {"id": "3b9eaf8d913f99adeb9192f68808efb7d2c0fac5", "title": "A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/3b9e/af8d913f99adeb9192f68808efb7d2c0fac5.pdf"]}, {"id": "72962038460e32b0dd01d083f7f4049be36a34b9", "title": "Face Recognition Under Occlusions and Variant Expressions With Partial Similarity", "year": "2009", "pdf": ["http://parnec.nuaa.edu.cn/papers/journal/2009/txy-itifs-09.pdf", "https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tifs09.pdf"]}, 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Sensor Positioning for Automated and Persistent Surveillance", "year": "2010", "pdf": ["http://imaging.utk.edu/publications/papers/2010/yy-smc10.pdf", "https://www.imaging.utk.edu/publications/papers/2010/yy-smc10.pdf"]}, {"id": "2dde7c6740577b8326db4e606c0205f60fd19ee4", "title": "Efficient statistical face recognition across pose using Local Binary Patterns and Gabor wavelets", "year": "2009", "pdf": []}, {"id": "044600cc4b93bb0504e8d72a5476d16f1a61a107", "title": "Discriminant Analysis of Principal Components for Face Recognition", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/0446/00cc4b93bb0504e8d72a5476d16f1a61a107.pdf"]}, {"id": "f337bbee95772584e5e082bbffa67ac184d79155", "title": "Automatic extraction of face contours in images and videos", "year": "2012", "pdf": []}, {"id": "190d8bd39c50b37b27b17ac1213e6dde105b21b8", "title": "Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation", "year": "2011", "pdf": []}, {"id": "16d84109fbfad8fc25dad8a52f95aab56fd49f18", "title": "Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios", "year": "2008", "pdf": ["http://elsevierscitech.com/tmpl_img/PatRec.pdf"]}, {"id": "958b737459ad41d828a720896030aa0ffc01f43e", "title": "Locating head and face boundaries for head-shoulder images", "year": "1999", "pdf": ["http://perso.ensta-paristech.fr/~manzaner/Cours/Ese42/Proj_Visages/Hu1999.pdf"]}, {"id": "b29d70f38bd4759cd9d8c2fdc9312f7f807f4fa9", "title": "Face Recognition in Subspaces", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/b0f3/532a3c071d706399e52b474b2335ec8e7a19.pdf"]}, {"id": "fdebde7926e87dbfb6e73dd4f8324ad2ec45d7a6", "title": "Image Segmentation for Biometric Identification Systems", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/fdeb/de7926e87dbfb6e73dd4f8324ad2ec45d7a6.pdf"]}, {"id": "20a88cc454a03d62c3368aa1f5bdffa73523827b", "title": "Face recognition using a kernel fractional-step discriminant analysis algorithm", "year": "2007", "pdf": ["http://repository.ust.hk/ir/bitstream/1783.1-2970/1/yeung.pr2007a1.pdf", "http://www.cs.ust.hk/faculty/dyyeung/paper/pdf/yeung.pr2007a.pdf", "http://www.cs.ust.hk/~dyyeung/paper/pdf/yeung.pr2007a.pdf"]}, {"id": "b219a0ecf987f1500042b7cb4da174f361eaadf3", "title": "Face Recognition of Different Modalities Using SIFT and LBP Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c72c/7fe2f16dc827ab994fd0bdfa80aca2c82ce7.pdf"]}, {"id": "99cf068a2c453785ebd1b109ccfa158bd3b62803", "title": "Racial stereotypes and interracial attraction: phenotypic prototypicality and perceived attractiveness of Asians.", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/99cf/068a2c453785ebd1b109ccfa158bd3b62803.pdf"]}, {"id": "c1545782d49ae3cfd680b91caeb4b30042938416", "title": "Sparse two-dimensional singular value decomposition", "year": "2016", "pdf": []}, {"id": "2e1a1deb7dccff41fca7447364d6748bf362fb70", "title": "A topographical nonnegative matrix factorization algorithm", "year": "2013", "pdf": ["http://geza.kzoo.edu/~erdi/IJCNN2013/HTMLFiles/PDFs/P143-1244.pdf"]}, {"id": "87ba4cce558c2defde90f4b42853262fd572ca3e", "title": "Silhouette estimation.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/87ba/4cce558c2defde90f4b42853262fd572ca3e.pdf"]}, {"id": "fbd12d85742c08647f5646bf6dfd239732f471e5", "title": "Learning the kernel matrix by maximizing a KFD-based class separability criterion", "year": "2007", "pdf": ["http://www.cs.ust.hk/~dyyeung/paper/pdf/yeung.pr2007b.pdf", "http://www.cse.ust.hk/~dyyeung/paper/pdf/yeung.pr2007b.pdf", "http://www.researchgate.net/profile/Dit-Yan_Yeung/publication/222818847_Learning_the_kernel_matrix_by_maximizing_a_KFD-based_class_separability_criterion/links/00b7d51791d16f0529000000.pdf"]}, {"id": "288c03d30821d5b12754c8f21bcd76a76dd4a6fb", "title": "Feature-based Face Detection Against Skin-color Like Backgrounds with Varying Illumination", "year": 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"title": "Normalization of Face Illumination Based on Large-and Small-Scale Features", "year": "2011", "pdf": ["http://image.sciencenet.cn/olddata/kexue.com.cn/upload/blog/file/2011/1/20111721232398113.pdf"]}, {"id": "da2d7ca77376b90a79287a517f596af628c8f488", "title": "The development trend of evaluating face-recognition technology", "year": "2014", "pdf": []}, {"id": "147fe6bfc76f30ccacc3620662511e452bc395f6", "title": "A Survey of Face Recognition Techniques", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/147f/e6bfc76f30ccacc3620662511e452bc395f6.pdf"]}, {"id": "62e0edcf5a2bab8163851ca1d6ce50d42c367660", "title": "Generalized two-dimensional linear discriminant analysis with regularization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.07426.pdf"]}, {"id": "8e36cc33db5aa581cd826e6ba5f830d40d674712", "title": "Using Biologically Inspired Features for Face Processing", "year": "2007", "pdf": 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"80345fbb6bb6bcc5ab1a7adcc7979a0262b8a923", "title": "Soft Biometrics for a Socially Assistive Robotic Platform", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4569/f8e017af1e052b075d8a267116a8b795bd84.pdf"]}, {"id": "62da5876fbc5b6abe467891fc71b68173e6ad061", "title": "Heterogeneous Face Recognition Using Kernel Prototype Similarities", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KlareJain_HeterogeneousFR_KernelPrototypeSimilarities_PAMI11.pdf", "http://biometrics.cse.msu.edu/Publications/Face/KlareJain_HeterogeneousFR_KernelPrototypeSimilarities_PAMI13.pdf"]}, {"id": "4aff9eebbf4680ac8cdc2edcf650e4c467ce633c", "title": "Synthesis and Recognition of Face Profiles", "year": "2003", "pdf": []}, {"id": "da7f6d85e7843bd57d43f1e97ae93384420cd78d", "title": "Face Recognition by Regularized Discriminant Analysis", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/da7f/6d85e7843bd57d43f1e97ae93384420cd78d.pdf"]}, {"id": "474b6593d37c9c6547e2f0fcbfa8a9866b5cccd6", "title": "The Iteration-Tuned Dictionary for sparse representations", "year": "2010", "pdf": ["http://www.irisa.fr/temics/publis/2010/bitd_mmsp_embbeded.pdf"]}, {"id": "0021e292c9d8fd19f5edd1cde5bc99c112f1992d", "title": "Fast multi-scale local phase quantization histogram for face recognition", "year": "2012", "pdf": ["http://nlpr-web.ia.ac.cn/2012papers/gjkw/gk59.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk59.pdf"]}, {"id": "b13c28b35571627162cf46765821c739a7dc2d62", "title": "The Visual Object Tracking VOT2013 Challenge Results", "year": "2013", "pdf": ["http://epubs.surrey.ac.uk/808968/1/Kristan_VOT_2013_ICCV_paper.pdf", "http://liu.diva-portal.org/smash/get/diva2:850764/FULLTEXT02.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w09/W9-01.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W03/papers/Kristan_The_Visual_Object_2013_ICCV_paper.pdf"]}, {"id": "4afced9cea17d379f0a84156f2b726de7b3f1007", "title": "A Window of Opportunity for Cognitive Training in Adolescence", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2d7f/2c6ac28a1d45b09cfce1da6c01538d038d23.pdf"]}, {"id": "b9cedd1960d5c025be55ade0a0aa81b75a6efa61", "title": "Inexact Krylov Subspace Algorithms for Large Matrix Exponential Eigenproblem from Dimensionality Reduction", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.06500.pdf"]}, {"id": "3f4137c23193bd853d8319620f85fd11b591dbf4", "title": "Remarks on BioHashing based cancelable biometrics in verification system", "year": "2006", "pdf": []}, {"id": "b1290dff343ae4980e3e853055ad9a5b9116238b", "title": "Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape", "year": "2013", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Gender%20Classification%20Based%20on%20Fusion%20of%20Different%20Spatial%20Scale%20Features%20Selected%20by%20Mutual%20Information%20From%20Histogram%20of%20LBP,%20Intensity,%20and%20Shape%20.pdf"]}, {"id": "38c7f80a1e7fa1bdec632042318dc7cdd3c9aad4", "title": "Hierarchical Skin-AdaBoost-Neural Network (H-SKANN) for multi-face detection", "year": "2018", "pdf": []}, {"id": "fe5b731604bf7da5e64fcea99b065c6c54474504", "title": "Solving the face growth problem in the biometrie face recognition using Photo-Anthropometric ratios by iris normalization", "year": "2018", "pdf": []}, {"id": "6ef6e6e8b295c90ab9390f07d91c9ef8304a409d", "title": "Preserving privacy by de-identifying face images", "year": "2005", "pdf": ["http://arbor.ee.ntu.edu.tw/archive/ppdm/Heuristics/NewtonPP05.pdf", "https://cs.gmu.edu/~jpsousa/classes/699/papers/Newton-De-identifyingFaces-KDE2005.pdf"]}, {"id": "a3b183d041f8f3e90a2cf904eaab544070216367", "title": "Gabor Ordinal Measures for Face Recognition", "year": "2014", "pdf": ["http://www.nlpr.ia.ac.cn/2013papers/gjkw/gk69.pdf", "http://www.researchgate.net/profile/Zhenhua_Chai3/publication/258908540_Gabor_Ordinal_Measures_for_Face_Recognition/links/0f31752fcb424798fa000000.pdf", "https://pdfs.semanticscholar.org/a3b1/83d041f8f3e90a2cf904eaab544070216367.pdf"]}, {"id": "9d1ac83b18dd3cb4714d8b08cf27e7417bb2ccf8", "title": "Being bored? Recognising natural interest by extensive audiovisual integration for real-life application", "year": "2009", "pdf": ["https://7d67e651-a-62cb3a1a-s-sites.googlegroups.com/site/affectivelearning2012/home/46_Being%20bored%20%20Recognising%20natural%20interest%20by%20extensive%20audiovisual%20integration%20for%20real-life%20application.pdf?attachauth=ANoY7cr0De8NucCgYOU_aK23K_0Arh8JruafUlc-jCBcJrUNcWLt8qP8_vyUvkVcquu6TeMhru9FOvfxnW0Sf34kgdV7zD343x9fJmRYVN9wqGk7p855DSdz6O-57wGnpyx1fJisxM463xt46p-fHum4Q2Sr28oiPceBcddrCgL6-DcIyTpsV5NoJpiV1lMVKQXWbEY8ARqnDCaR4sfcVytPX5etub7rGcizriw92sSCbQ_UHSFhZ4v1Y3K1d90Q7t-V5G2ALV7aMelJTzXpCLY-0ufpCI1zR83hwHh-vHjfdf7_4pAjxShPr6yaR-6j1RST3DAwGJ4YpgHi5nXIlqV_3tu9euU1knzobMxrYC7oX9RukvS6J2M%3D&attredirects=0&d=1"]}, {"id": "05f4d907ee2102d4c63a3dc337db7244c570d067", "title": "Face recognition from a single image per person: A survey", "year": "2006", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr06b.pdf", "http://parnec.nuaa.edu.cn/papers/journal/2006/xtan-PR06.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/pr06.pdf"]}, {"id": "e4f3e0951fd66abe3b5dfbca88f676df82846214", "title": "Automatic age classification with LBP", "year": "2008", "pdf": []}, {"id": "c85adcc3cc2f3ab27def7e1c615b52ac182dde80", "title": "Improving face gender classification by adding deliberately misaligned faces to the training data", "year": "2008", "pdf": ["http://researchcommons.waikato.ac.nz/bitstream/handle/10289/2172/facegenderclass.pdf?sequence=1"]}, {"id": "4e93a8a47473bf57e24aec048cb870ab366a43d6", "title": "Face authentication for multiple subjects using eigenflow", "year": "2003", "pdf": ["http://chenlab.ece.cornell.edu/Publication/TechnicalReports/tr01_05.pdf", "http://chenlab.ece.cornell.edu/Publication/Xiaoming/PR_eigenflow_xiaoming.pdf", "http://cse.msu.edu/~liuxm/publication/PR_biometric.pdf"]}, {"id": "6c091c3bd625b3c838831d797c66eae6c8f280cc", "title": "Apperance-Based Tracking and Face Identification in Video Sequences", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/6c09/1c3bd625b3c838831d797c66eae6c8f280cc.pdf"]}, {"id": "05f1c38ae248e626be99354db4b7fb7f7289bd1e", "title": "Multi-scale Local Binary Pattern histogram for gender classification", "year": "2015", "pdf": []}, {"id": "f3dc0852ba430519ffa7e383a5c5e5bf1a47b19d", "title": "Feature Extraction and Representation for Face Recognition", "year": "2010", "pdf": ["http://cdn.intechopen.com/pdfs/10199/InTech-Feature_extraction_and_representation_for_face_recognition.pdf"]}, {"id": "36688a79cc8926f489ccb6e6dadba15afbb4b6a4", "title": "Linear discriminant analysis for the small sample size problem: an overview", "year": "2015", "pdf": ["https://maxwell.ict.griffith.edu.au/spl/publications/papers/ijmlc14_lda_review.pdf", "https://maxwell.ict.griffith.edu.au/spl/publications/papers/ijmlc15_lda_review.pdf", "https://research-repository.griffith.edu.au/bitstream/handle/10072/101329/SharmaPUB407.pdf?isAllowed=y&sequence=1"]}, 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"6a3100af83e98c76c2bfe26ef61bffd289f64862", "title": "A novel semi-supervised learning for face recognition", "year": "2015", "pdf": []}, {"id": "31d007eda3aca9c5114559ddd1f80c5275f3a84f", "title": "A Suitable Adaptive Illumination Compensation Method for Face Detection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/31d0/07eda3aca9c5114559ddd1f80c5275f3a84f.pdf"]}, {"id": "88f2952535df5859c8f60026f08b71976f8e19ec", "title": "A neural network framework for face recognition by elastic bunch graph matching", "year": "", "pdf": ["https://pdfs.semanticscholar.org/88f2/952535df5859c8f60026f08b71976f8e19ec.pdf"]}, {"id": "d8bf32e0936bae857cbca669f3ebf21455cf9d10", "title": "Face recognition using FLDA with single training image per person", "year": "2008", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/AMC_08_Nov.pdf"]}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"]}, {"id": "c46759303c4922d6319faed14462751ec689752f", "title": "Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification", "year": "2016", "pdf": ["http://www.yongxu.org/paper/Approximately%20symmetrical%20face%20images%20for%20image%20preprocessing%20in%20face%20recognition%20and%20sparse%20representation%20based%20classification.pdf"]}, {"id": "5bcce11db01aced72e17a4b7ec8633088dc46e72", "title": "VULNERABILITIES AND ATTACK PROTECTION IN SECURITY SYSTEMS BASED ON BIOMETRIC RECOGNITION \u2013TESIS DOCTORAL\u2013 VULNERABILIDADES Y PROTECCIO\u0301N FRENTE A ATAQUES EN SISTEMAS DE SEGURIDAD BASADOS EN RECONOCIMIENTO BIOME\u0301TRICO", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/a323/9de6f4c300b135d5c417890ab68be8e90801.pdf"]}, {"id": "1f47a13548317602ec76eafbea44d7b39926c4cd", "title": "Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07184.pdf"]}, {"id": "597fd0ba70a6ff2f414b76822a204d6a46334b2c", "title": "FINGERPRINT AND FACE IMAGE RECOGNITION", "year": "2011", "pdf": []}, {"id": "fafa7bbd6b37dc97237155654e1a4d1f1aba70f8", "title": "Radial Basis Function Neuroscaling Algorithms for Efficient Facial Image Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fafa/7bbd6b37dc97237155654e1a4d1f1aba70f8.pdf"]}, {"id": "f6a050314881488d0f6653c0c6883937a722eff5", "title": "Retina Recognition Based on Fractal Dimension", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f6a0/50314881488d0f6653c0c6883937a722eff5.pdf"]}, {"id": "5479da1038a530beb760a38dbb5b08947dfaefbd", "title": "Fusing continuous spectral images for face recognition under indoor and outdoor illuminants", "year": "2008", "pdf": ["http://imaging.utk.edu/publications/papers/2010/mva_hc.pdf", "https://www.imaging.utk.edu/publications/papers/2010/mva_hc.pdf"]}, {"id": "8e94ed0d7606408a0833e69c3185d6dcbe22bbbe", "title": "For your eyes only", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_wacv2012_eyes.pdf"]}, {"id": "afaa607aa9ad0e9dad0ce2fe5b031eb4e525cbd8", "title": "Towards an automatic face indexing system for actor-based video services in an IPTV environment", "year": "2010", "pdf": ["http://dspace.kaist.ac.kr/bitstream/10203/24882/1/61.pdf", "http://koasas.kaist.ac.kr/bitstream/10203/24882/1/61.pdf"]}, {"id": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "pdf": []}, {"id": "f2c02911297245fbb31cafd6bb6cbbd51af5a32d", "title": "Robust score normalization for relational approaches to face authentication", "year": "2004", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2004/defevent/papers/cr1380.pdf", "http://www.eurecom.fr/en/publication/1390/download/mm-perrfl-040906.pdf"]}, {"id": "1a47f12a2490f6775c0ad863ac856de27f5b3e03", "title": "An \u21132/\u21131 regularization framework for diverse learning tasks", "year": "2015", "pdf": []}, {"id": "8e351b3a0beaf62d8e1f8f879451f06577f9d04f", "title": "Contourlet-Based Feature Extraction with PCA for Face Recognition", "year": "2008", "pdf": []}, {"id": "25c304868ad936a73fead95d9b17e7b46025764d", "title": "A Rank-One Update Algorithm for Fast Solving Kernel Foley\u2013Sammon Optimal Discriminant Vectors", "year": "2010", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2010/tnn10_rank1.pdf", "http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2010-TNN-KFSOVD.pdf", "https://pdfs.semanticscholar.org/25c3/04868ad936a73fead95d9b17e7b46025764d.pdf"]}, {"id": "787cdc730b35e380f0d33aa1b3428f3b3b1666e3", "title": "Study on Color Spaces for Single Image Enrolment Face Authentication", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Baptiste_Hemery/publication/220928020_Study_on_Color_Spaces_for_Single_Image_Enrolment_Face_Authentication/links/00b4951502713eaa04000000.pdf"]}, {"id": "ae8e0da37ca76063c74fefd1bade3a2ad3e6ecfc", "title": "Car recognition based on back lights and rear view features", "year": "2009", "pdf": []}, {"id": "22b4bd52b99cf08c188ead1e5aec87e242f095dd", "title": "Pose VariantFace Recognition Based on Linear Mapping", "year": "2018", "pdf": []}, {"id": "c5e089ea32790a16a30b986f6d5c9583a346e143", "title": "High-Order Circular Derivative Pattern for Image Representation and Recognition", "year": "2010", "pdf": ["http://www98.griffith.edu.au/dspace/bitstream/handle/10072/36156/64987_1.pdf?sequence=1"]}, {"id": "ae8240095c9cca2c395f173fece2f46277b94929", "title": "Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition", "year": "2017", "pdf": []}, {"id": "d723b1242e45b041d254bb85e5f69c0d96ca7daf", "title": "Robust face recognition using 2D and 3D data: Pose and illumination compensation", "year": "2005", "pdf": ["http://www.iti.gr/files/pr2005face.pdf", "https://pdfs.semanticscholar.org/d723/b1242e45b041d254bb85e5f69c0d96ca7daf.pdf"]}, {"id": "28312c3a47c1be3a67365700744d3d6665b86f22", "title": "Face recognition: A literature survey", "year": "2003", "pdf": []}, {"id": "2d039aa3c8d64ca6054c96a49d250e18caf62b82", "title": "A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL", "year": "2007", "pdf": []}, {"id": "bbf49e0dc67663b2d116eebdae93abb0f276ac8a", "title": "Face hallucination based on morphological component analysis", "year": "2013", "pdf": ["http://web.siat.ac.cn/~xiaohua/paper/Face%20hallucinationbasedonmorphologicalcomponentanalysis.pdf"]}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": ["http://acberg.com/papers/kbbn09iccv.pdf", "http://neerajkumar.org/publications/base/papers/nk_iccv2009_attrs.pdf", "http://www.tamaraberg.com/teaching/Fall_13/papers/iccv09.pdf"]}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"]}, {"id": "0cf9f33546917e2d0edec03037f1a084d75f917b", "title": "Variable length dominant Gabor local binary pattern (VLD-GLBP) for face recognition", "year": "2014", "pdf": []}, {"id": "01d94d568447075d9f32f6c1e7af9255188a6938", "title": "A biometric database with rotating head videos and hand-drawn face sketches", "year": "2009", "pdf": ["http://www.csee.usf.edu/~scanavan/papers/BTAS09.pdf"]}, {"id": "3d264c9426fc52aff381f9ecbaf36bf62bebe3c9", "title": "A Multiple Maximum Scatter Difference Discriminant Criterion for Facial Feature Extraction", "year": "2007", "pdf": ["http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/229/1/SMCB_C_37_6_07.pdf", "https://pdfs.semanticscholar.org/3d26/4c9426fc52aff381f9ecbaf36bf62bebe3c9.pdf"]}, {"id": "aa5a78afb6e66f95a72b97a01ed1564de9669ccb", "title": "A performance driven methodology for cancelable face templates generation", "year": "2010", "pdf": []}, {"id": "cebf73d590e0c0021f09bdbd59778bd574e96da7", "title": "First Impressions and the Reference Encounter : The In fl uence of Affect and Clothing on Librarian Approachability", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/cebf/73d590e0c0021f09bdbd59778bd574e96da7.pdf"]}, {"id": "29bcf87f48a5b4e2f06f20761cbc376d56df5f13", "title": "Face Recognition using PCA and SVM with Surf Technique", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c874/90ab64e031cd9dcdb789d6426dd7ded5422f.pdf"]}, {"id": "3c78a53fd212b80ac7e61e7713d39e458abbb026", "title": "Partial least squares on graphical processor for efficient pattern recognition", "year": "2010", "pdf": []}, {"id": "a93ecf7b9780989c709714dde0f93f4d81eea640", "title": "Unconstrained Face Recognition Using SVM Across Blurred And Illuminated Images With Pose", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a93e/cf7b9780989c709714dde0f93f4d81eea640.pdf"]}, {"id": "e054291cbf250592d032722b99c414c2e4741c03", "title": "A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction", "year": "2006", "pdf": ["http://research.ics.aalto.fi/cbir/papers/icann2006roz-old.pdf", "https://pdfs.semanticscholar.org/e054/291cbf250592d032722b99c414c2e4741c03.pdf"]}, {"id": "ed3f32f4a6bc3524595db621fa5f6c61cf4b7497", "title": "Gabor-HOG Features based Face Recognition Scheme", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ed3f/32f4a6bc3524595db621fa5f6c61cf4b7497.pdf"]}, {"id": "641f0989b87bf7db67a64900dcc9568767b7b50f", "title": "Reconstructing faces from their signatures using RBF regression", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e25a/6836e5f5dc6cf691cd9c42224c0f7f4bb42c.pdf"]}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "year": "2016", "pdf": []}, {"id": "2c5c89103605c6f0ed8924778526133dfa064a16", "title": "Blurred face recognition algorithm guided by a no-reference blur metric", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2c5c/89103605c6f0ed8924778526133dfa064a16.pdf"]}, {"id": "08c1f8f0e69c0e2692a2d51040ef6364fb263a40", "title": "Beyond Eigenfaces: Probabilistic Matching for Face Recognition", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/abaf/d6362120d01979c77f0fd2a4fab234a4368d.pdf"]}, {"id": "439ec47725ae4a3660e509d32828599a495559bf", "title": "Facial Expressions Tracking and Recognition : Database Protocols for Systems Validation and Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/439e/c47725ae4a3660e509d32828599a495559bf.pdf"]}, {"id": "b5dd744df6de73bd072b18d9108b79431a28c539", "title": "Gait Recognition With Shifted Energy Image and Structural Feature Extraction", "year": "2012", "pdf": ["http://bura.brunel.ac.uk/bitstream/2438/8967/2/Fulltext.pdf"]}, {"id": "c1b90cf91837628c430a796e7b6be6d8c010cc43", "title": "Local Steerable Pyramid Binary Pattern Sequence LSPBPS for face recognition method", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/0553/ea780eac70eb10f1022cd1886d0ee5a7c0c4.pdf"]}, {"id": "0cede3b170369d53181d5b67c3baaec0e2bbfee4", "title": "Prediction of eigenvalues and regularization of eigenfeatures for human face verification", "year": "2010", "pdf": ["http://www3.ntu.edu.sg/home/EXDJiang/JiangX.D.-PRL-10.pdf", "https://www.researchgate.net/profile/Xudong_Jiang3/publication/220645023_Prediction_of_eigenvalues_and_regularization_of_eigenfeatures_for_human_face_verification/links/0046351ef2d1bc4032000000.pdf"]}, {"id": "79150c5938946a8dcb39d32f0c47f99cf6746679", "title": "Face Recognition by Discriminant Analysis with Gabor Tensor Representation", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/636f/c637a5896300851210ce753e9e46b4d065d9.pdf"]}, {"id": "0c286be42e734c2469563e189d7a8b11155386d5", "title": "ABSTRACT Title of Dissertation: GAIT AS A BIOMETRIC FOR PERSON IDENTIFICATION IN VIDEO", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/0c28/6be42e734c2469563e189d7a8b11155386d5.pdf"]}, {"id": "2ed6f30a59d7d4ebaa69b3e61c62263d37a501ae", "title": "Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/a59d/550795b9a47e7aa78af2715b787d4c4cabe0.pdf"]}, {"id": "f6b8f8511f8a66209ff2e7f163f9265ac077ba3e", "title": "Face recognition with lattice independent component analysis and extreme learning machines", "year": "2012", "pdf": []}, {"id": "a27564276abb3c347b76b32396f897171cb5893f", "title": "A novel dynamic rough subspace based selective ensemble", "year": "2015", "pdf": ["http://www.cs.bham.ac.uk/~syw/documents/papers/YuWei2014.pdf", "https://research.birmingham.ac.uk/portal/files/18372300/Guo_et_al_Novel_dynamic_rough_subspace_Pattern_Recognition_2014.pdf"]}, {"id": "26b9d546a4e64c1d759c67cd134120f98a43c2a6", "title": "Polynomial Correlation Filters for Human Face Recognition", "year": "2012", "pdf": []}, {"id": "9a1246da9730ddda1f982a668816b501791a2a64", "title": "Bionic Face Recognition Using Gabor Transformation", "year": "2010", "pdf": []}, {"id": "ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c", "title": "Face Verification System based on Integral Normalized Gradient Image(INGI)", "year": "2013", "pdf": ["https://arxiv.org/pdf/1401.6112.pdf"]}, {"id": "5ba51674897afa2a1bc0646fddada7510bd9c0ce", "title": "Video-based face recognition evaluation in the CHIL project - Run 1", "year": "2006", "pdf": ["http://isl.anthropomatik.kit.edu/pdf/Ekenel2006b.pdf"]}, {"id": "1549771a3d7ddb3ce2b65e4685f617a0ecfc9823", "title": "Boosted of Haar-like Features and Local Binary Pattern Based Face Detection", "year": "2009", "pdf": ["http://www.researchgate.net/profile/Bac_Le3/publication/224567873_Boosted_of_Haar-like_Features_and_Local_Binary_Pattern_Based_Face_Detection/links/0deec5328187835f89000000.pdf"]}, {"id": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Sparsely%20Encoded%20Local%20Descriptor%20for%20Face%20Verification_NECO2015.pdf", "https://pdfs.semanticscholar.org/4047/76aa18031828f3d5dbceed39907f038a47fe.pdf"]}, {"id": "9fb1d7cbf1baf5f347d159410d22912fcee1fdb1", "title": "Face Detection using Ferns", "year": "2011", "pdf": []}, {"id": "33ec047f1084e290c8a6f516bc75345b6bcf02a0", "title": "Smart cameras: 2D affine models for determining subject facial expressions", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Peter_Corcoran/publication/220168274_Smart_Cameras_2D_Affine_Models_for_Determining_Subject_Facial_Expressions/links/02bfe5118f52d3d59d000000.pdf"]}, {"id": "928b6bc4492740e8eba83366e9b21eb47ba59067", "title": "Recognizing human faces under varying degree of Illumination: A comprehensive survey", "year": "2015", "pdf": []}, {"id": "749bb1ab22c792dc5c7782714df74c392939c8d1", "title": "Human gait recognition based on matching of body components", "year": "2007", "pdf": []}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"]}, {"id": "47cd38706e81ba6d73a9c56ebc9e42327a0a28cb", "title": "Computing the Principal Local Binary Patterns for face recognition using data mining tools", "year": "2012", "pdf": []}, {"id": "84eb543a649f7331403caef6aaf96177c6cf5571", "title": "Automatic Rank Determination in Projective Nonnegative Matrix Factorization", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/84eb/543a649f7331403caef6aaf96177c6cf5571.pdf"]}, {"id": "15c9e9b495f255f7b435656b0282b2fa8eba3aed", "title": "Discriminant structure embedding for image recognition", "year": "2016", "pdf": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", 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Face Tracking and Recognition from Video ?", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/0b63/5b58cd4d739bed415f77de8d1ec3d79e26d4.pdf"]}, {"id": "92c2dd6b3ac9227fce0a960093ca30678bceb364", "title": "On Color Texture Normalization for Active Appearance Models", "year": "2009", "pdf": ["http://www.researchgate.net/profile/Peter_Corcoran/publication/24311132_On_color_texture_normalization_for_active_appearance_models/links/02bfe5118f5300f4dc000000.pdf", "https://pdfs.semanticscholar.org/92c2/dd6b3ac9227fce0a960093ca30678bceb364.pdf"]}, {"id": "f3412c087282fcd60f08083515714f97179bedcb", "title": "A study on different experimental configurations for age, race, and gender estimation problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2d75/d81c9c1d9ce9cb9d3df84b4b45ae91fc0a70.pdf"]}, {"id": "ca7be47d26abdc6fd3f229e9827484e91dbd7752", "title": "ADAPTED FUSION SCHEMES FOR MULTIMODAL BIOMETRIC AUTHENTICATION", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/ca7b/e47d26abdc6fd3f229e9827484e91dbd7752.pdf"]}, {"id": "8a92d17cff2096336796232e4e42bb11c590629d", "title": "Color Face Recognition Based on Curvelet Transform Ay\u015feg\u00fcl U\u00c7AR", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8a92/d17cff2096336796232e4e42bb11c590629d.pdf"]}, {"id": "75f715b56972cca50d84ac1bd64529402ef0d57d", "title": "Biometric identification systems", "year": "2003", "pdf": ["http://www.cin.ufpe.br/~in1129/aulas/1.biometric%20identification%20systems.pdf"]}, {"id": "bc9565725be015135142305305a1c85fd54d99f8", "title": "Discriminant projection embedding for face and palmprint recognition", "year": "2008", "pdf": ["http://oa.ee.tsinghua.edu.cn/~zhangyujin/Download-Paper/E169=NC-08b.pdf"]}, {"id": "d5ccbc99a89934b5f2dd3f0ba7e028ac9c347b73", "title": "A Correlative Two-Step Approach to Hallucinating Faces", "year": "2014", "pdf": []}, {"id": "89670862270d31fe7a02d863be51fbe83324ece2", "title": "Ear Recognition Based on Statistical Shape Model", "year": "2006", "pdf": ["http://iitlab.bit.edu.cn/mcislab/~zhaoyoudong/paper_pdf/ear%20recognition.pdf"]}, {"id": "9cf3dae2c64f2935b3562364c15eb3b34fe5213d", "title": "From Local Geometry to Global Structure: Learning Latent Subspace for Low-resolution Face Image Recognition", "year": "2015", "pdf": []}, {"id": "0407866be9938f24acc44afd6760e27e15e6e160", "title": "Simplest representation yet for gait recognition: averaged silhouette", "year": "2004", "pdf": ["http://marathon.csee.usf.edu/~sarkar/PDFs/ZongyiAveragedICPR.pdf"]}, {"id": "a5eccba8e68fe72a4f5f3ab593a2d507a5db7c4c", "title": "Reactive Learning Strategy for AsymBoost Based Face Detectors", "year": "2007", "pdf": []}, {"id": "eab4046cb0a4f7debecfa55388256fed7f3ee677", "title": "Pose Invariant Color Face Recognition Based on Frequency Analysis and DLDA with Weight Score Classification", "year": "2009", "pdf": []}, {"id": "83085e407a8ea5045dbcb037baacd91477a0d5bf", "title": "A biosegmentation benchmark for evaluation of bioimage analysis methods", "year": "2008", "pdf": ["http://vision.ece.ucsb.edu/sites/vision.ece.ucsb.edu/files/publications/gelasca_BMC_2009.pdf"]}, {"id": "d4ef263f1483a1c5f86d4ece106e7729e3d9fef6", "title": "Face recognition algorithm using extended vector quantization histogram features", "year": "2016", "pdf": []}, {"id": "b3be6c26e00671fa8b18587409e656d5bbecdcf7", "title": "Investigation of multimodal template-free biometric techniques and associated exception handling", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b3be/6c26e00671fa8b18587409e656d5bbecdcf7.pdf"]}, {"id": "c791682fa3f716401bca46c6e9a2af495b0d9d51", "title": "Interested in publishing with us ? Contact book", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c791/682fa3f716401bca46c6e9a2af495b0d9d51.pdf"]}, {"id": "558fd79d8f0d7b05c3db32b8efa0cce4bd5d9970", "title": "Biometrics at the frontiers , assessing the impact on Society Technical impact of Biometrics", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/558f/d79d8f0d7b05c3db32b8efa0cce4bd5d9970.pdf"]}, {"id": "fdb0472af94a726897c20b6b181c6d71ee293e71", "title": "Quality assessment of image-based biometric information", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fdb0/472af94a726897c20b6b181c6d71ee293e71.pdf"]}, {"id": "f7101d092537f1bb92678c74e771209332a0e259", "title": "Regression based automatic face annotation for deformable model building", "year": "2011", "pdf": ["http://ci2cv.net/media/papers/2011_PR_Asthana.pdf"]}, {"id": "7f9f4f2f36fec39b50f745be8852feef110eb25d", "title": "Piecewise Regularized Canonical Correlation Discrimination for Low-Resolution Face Recognition", "year": "2010", "pdf": []}, {"id": "867d3aa95bb6a764ce3a03cfb5e99a81aea4a980", "title": "Computer-based recognition of dysmorphic faces", "year": "2003", "pdf": ["https://www.ini.rub.de/upload/file/1470692857_b90a305d2e34aa4f57d8/loos-syndromic.pdf"]}, {"id": "c973b7c453012deb689b8d1b6a995f956c6351e1", "title": "Feature extraction based on Laplacian bidirectional maximum margin criterion", "year": "2009", "pdf": ["http://www.researchgate.net/profile/Wankou_Yang/publication/222427554_Feature_extraction_based_on_Laplacian_bidirectional_maximum_margin_criterion/links/0fcfd510329f3ee753000000.pdf", "http://www4.comp.polyu.edu.hk/~cslzhang/paper/PR_09_Nov.pdf"]}, {"id": "4e6ff8ff80a1610bb841b669bb7667413ed2982f", "title": "Dependence Characteristics of Face Recognition Algorithms", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/4e6f/f8ff80a1610bb841b669bb7667413ed2982f.pdf"]}, {"id": "86dd8db0587b570ea2237c03cb0126ab3a53317c", "title": "A Novel Face Detection and Facial Feature Detection Algorithm using Skin Colour and Back Propagation Neural Network", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/86dd/8db0587b570ea2237c03cb0126ab3a53317c.pdf"]}, {"id": "891b31be76e2baa83745f24c2e2013851dc83cbb", "title": "Improved Face Representation by Nonuniform Multilevel Selection of Gabor Convolution Features", "year": "2009", "pdf": []}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "title": "A proposed method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": []}, {"id": "1ed14b85db5963fe122f00f7b3ea60abe05b3604", "title": "Weighted Gabor features in unitary space for face recognition", "year": "2006", "pdf": []}, {"id": "7f26d56d24f49df7e5323c6c1f7fb026c9d6612f", "title": "Two-directional maximum scatter difference discriminant analysis for face recognition", "year": "2008", "pdf": []}, {"id": "96dfa2a7630fc6800ba8a546df526b8174f54b5c", "title": "Appearance-Based Facial Recognition Using Visible and Thermal Imagery : A Comparative Study \u2217", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/96df/a2a7630fc6800ba8a546df526b8174f54b5c.pdf"]}, {"id": "5d197c8cd34473eb6cde6b65ced1be82a3a1ed14", "title": "A Face Image Database for Evaluating Out-of-Focus Blur", "year": "2008", "pdf": ["http://cdn.intechopen.com/pdfs/20590/InTech-A_face_image_database_for_evaluating_out_of_focus_blur.pdf", "https://api.intechopen.com/chapter/pdf-download/20590"]}, {"id": "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "title": "A brief review on techniques for recognizing images under varying poses", "year": "2015", "pdf": []}, {"id": "bff354d05823c83215183c8824faefbc093de011", "title": "A new efficient SVM and its application to real-time accurate eye localization", "year": "2011", "pdf": ["https://frvp.njit.edu/images/new-slider/eSVM.pdf"]}, {"id": "3d7a5d1fbec861542631fcb10f58e38f4f51a04c", "title": "Face Recognition Application of Blur-Robust Pitta", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3d7a/5d1fbec861542631fcb10f58e38f4f51a04c.pdf"]}, {"id": "21a9f713a664374bfdcca6f4c8f267b85e63ad7a", "title": "Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5f98/7116642d704a5263a880d2671a6e8c434d97.pdf"]}, {"id": "3958db5769c927cfc2a9e4d1ee33ecfba86fe054", "title": "Describable Visual Attributes for Face Verification and Image Search", "year": "2011", "pdf": ["http://acberg.com/papers/berg_face_attributes_pami.pdf", "http://acberg.com/papers/faceattrs_pami_submission_1.pdf", "http://neerajkumar.org/publications/base/papers/nk_pami2011_faceattrs.pdf"]}, {"id": "19f4020db2a37102ec3236ff72d8c7d3a0992ef9", "title": "Face Recognition by Kernel Independent Component Analysis", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/19f4/020db2a37102ec3236ff72d8c7d3a0992ef9.pdf"]}, {"id": "cf5bdf52cf269c9f3ebf548756146763f55e42d6", "title": "Title of Thesis: Contour Based 3d Face Modeling from Monocular Video Contour Based 3d Face Modeling from Monocular Video", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/cf5b/df52cf269c9f3ebf548756146763f55e42d6.pdf"]}, {"id": "59d66790ac1db459ba78ed0147cde7c66e7ed0c5", "title": "Ensemble-based discriminant learning with boosting for face recognition", "year": "2006", "pdf": ["http://www.cbsr.ia.ac.cn/Li%20Group/papers/TNN-Lu-06.pdf", "http://www.comm.toronto.edu/~kostas/Publications2008/pub/78.pdf", "http://www.comm.utoronto.ca/~kostas/Publications2008/pub/78.pdf", "http://www.dsp.toronto.edu/juwei/Publication/BoostingLDAv13.pdf"]}, {"id": "05b8673d810fadf888c62b7e6c7185355ffa4121", "title": "A Comprehensive Survey to Face Hallucination", "year": "2013", "pdf": ["http://www.tpbin.com/Uploads/Subjects/6153ac35-26a8-4179-9cf9-368614e71179.pdf", "https://nannanwang.github.io/My_Papers/IJCV2013.pdf", "https://pdfs.semanticscholar.org/05b8/673d810fadf888c62b7e6c7185355ffa4121.pdf"]}, {"id": "0e4fa61871755b5548a5c970c8103f7b2ada24f3", "title": "Partial Face Recognition Based on Template Matching", "year": "2015", "pdf": []}, {"id": "3ec860cfbd5d953f29c43c4e926d3647e532c8b0", "title": "Gabor-Based Region Covariance Matrices for Face Recognition", "year": "2008", "pdf": []}, {"id": "bbb6491e515f6fe35841af2b88edee09b07b00f5", "title": "Kernel-based nonlinear discriminant analysis for face recognition", "year": "2003", "pdf": []}, {"id": "c8012c6d71c286777b7a818c4cadb540d8549b43", "title": "Diagnosis of Esophagitis Based on Face Recognition Techniques", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c801/2c6d71c286777b7a818c4cadb540d8549b43.pdf"]}, {"id": "3abf8e5f1f5778b99890b193de59a3a9031e3691", "title": "Revisiting Linear Discriminant Techniques in Gender Recognition", "year": "2011", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/pami2011.pdf"]}, {"id": "4ff20e3d56a985640d4a15dd75f04648050f0938", "title": "A novel two-stage weak classifier selection approach for adaptive boosting for cascade face detector", "year": "2013", "pdf": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"]}, {"id": "5fce9d893a40c4e0f2ae335b2e68bfd02f1cb2c6", "title": "A Methodology for Detecting Faces from Different Views", "year": "2012", "pdf": []}, {"id": "98a60b218ff8addaf213e97e2f4b54d39e45f5b9", "title": "Benchmarking Real World Object Recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/98a6/0b218ff8addaf213e97e2f4b54d39e45f5b9.pdf"]}, {"id": "88502625b546607f4992085a313dab1ceb68e4d7", "title": "A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8850/2625b546607f4992085a313dab1ceb68e4d7.pdf"]}, {"id": "2ee7bf7d0466fca7b6968d5652ed924cd9e86e38", "title": "Performance evaluation of road detection and following systems", "year": "2002", "pdf": []}, {"id": "e62519d3041cb445d33f144f8adbe59ca201978e", "title": "A Novel Encoding Scheme for Effective Biometric Discretization: Linearly Separable Subcode", "year": "2013", "pdf": []}, {"id": "a0ebe46668f15092c23dafce65d85319461e95c8", "title": "Parts-based object detection using multiple views", "year": "2005", "pdf": []}, {"id": "5ab2791fbd8d39d02eb8ee76b0f03f5d64371309", "title": "A Methodology for Empirical Performance Evaluation of Page Segmentation Algorithms Song Mao and Tapas Kanungo a Methodology for Empirical Performance Evaluation of Page Segmentation Algorithms", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/5ab2/791fbd8d39d02eb8ee76b0f03f5d64371309.pdf"]}, {"id": "0d6008f2b2e198e9eac44e8ad68e590cf6b41c57", "title": "Human and chimpanzee face recognition in chimpanzees (Pan troglodytes): role of exposure and impact on categorical perception.", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/0d60/08f2b2e198e9eac44e8ad68e590cf6b41c57.pdf"]}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"]}, {"id": "cb3ab7ca2cda0a784c0a94ad2bdff2bcbc376afe", "title": "A Shunting Inhibitory Convolutional Neural Network for Gender Classification", "year": "2006", "pdf": []}, {"id": "9a5292289b781bc7bb50bbe8a6f013b40c084880", "title": "Effects of oxytocin on behavioral and ERP measures of recognition memory for own-race and other-race faces in women and men", "year": "2013", "pdf": ["http://psych-www.colorado.edu/~tcurran/herzmann_oxytocin_eeg.pdf", "http://psych.colorado.edu/~tcurran/herzmann_oxytocin_eeg.pdf"]}, {"id": "8010636454316faf1a09202542af040ffd04fefa", "title": "Performance Parameter Analysis of Face Recognition Based On Fuzzy C-Means Clustering , Shape and Corner Detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8010/636454316faf1a09202542af040ffd04fefa.pdf"]}, {"id": "17d84ca10607442a405f3c4c8b4572bdd79801c2", "title": "Expression robust 3D face recognition via mesh-based histograms of multiple order surface differential quantities", "year": "2011", "pdf": ["http://liris.cnrs.fr/Documents/Liris-5555.pdf", "http://math.univ-lyon1.fr/~morvan/SCANPUBLICATIONS/Huibinicip2011.pdf"]}, {"id": "fdfb82f654e03c4d884713278077cc66e42afe41", "title": "Analysis of variance of Gabor filter banks parameters for optimal face recognition", "year": "2011", "pdf": []}, {"id": "aa07203067566f251041f73ee087aa7dfb847509", "title": "Biometric System Using Cryptography : A Survey", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa07/203067566f251041f73ee087aa7dfb847509.pdf"]}, {"id": "bef2854893462ae28bdb2243bba4d010d3909289", "title": "TUBITAK UZAY at TRECVID 2010: Content-Based Copy Detection and Semantic Indexing", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/bef2/854893462ae28bdb2243bba4d010d3909289.pdf"]}, {"id": "a9cecfbc47a39fa0158a5f6fd883e0e5ac2aa134", "title": "Optimal Subspace Analysis for Face Recognition", "year": "2005", "pdf": []}, {"id": "3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e", "title": "Local Directional Number Pattern for Face Analysis: Face and Expression Recognition", "year": "2013", "pdf": ["http://www.chennaisunday.com/IEEE%202013%20Dotnet%20Basepaper/Local%20Directional%20Number%20Pattern%20for%20Face%20Analysis%20Face%20and%20Expression%20Recognition.pdf", "https://pdfs.semanticscholar.org/3ba8/f8b6bfb36465018430ffaef10d2caf3cfa7e.pdf"]}, {"id": "786e57ed6877dc8491b1bb9253f8b82c02732977", "title": "Efficient approach to de-identifying faces in videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/786e/57ed6877dc8491b1bb9253f8b82c02732977.pdf"]}, {"id": "6cad808376cf5c5dc8202471c046c2cb80afdc09", "title": "A new approach for color image segmentation based on color mixture", "year": "2011", "pdf": []}, {"id": "8097841cc4f3559e32c32db97624255808bacf22", "title": "Biometrie symmetry: Implications on template protection", "year": "2017", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570346480.pdf"]}, {"id": "dc8b25e35a3acb812beb499844734081722319b4", "title": "The FERET database and evaluation procedure for face-recognition algorithms", "year": "1998", "pdf": ["http://biometrics.nist.gov/cs_links/face/frvt/feret/FERET_Database_evaluation_procedure.pdf", "https://www.nist.gov/sites/default/files/documents/2016/12/15/feret_database_evaluation_procedure.pdf"]}, {"id": "c593c6080c75133191a27381a58cd07c97aa935b", "title": "Gender Classification Using a Min-Max Modular Support Vector Machine with Incorporating Prior Knowledge", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/c593/c6080c75133191a27381a58cd07c97aa935b.pdf"]}, {"id": "b15663eb2e0a7f92dbb5364c5a8e0742105f4ebe", "title": "Selecting highly optimal architectural feature sets with Filtered Cartesian Flattening", "year": "2009", "pdf": ["http://www.dre.vanderbilt.edu/~schmidt/PDF/white-fmopt-journal.pdf"]}, {"id": "babc76d0550a647dc605dca9a69bda1af8e0c872", "title": "AN EFFECTIVE COLOR FACE RECOGNITION BASED ON BEST COLOR FEATURE SELECTION ALGORITHM USING WEIGHTED FEATURES FUSION SYSTEM", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/babc/76d0550a647dc605dca9a69bda1af8e0c872.pdf"]}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "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": "2b2acf2de016f0fb3538ceaaf3a9ba869b466089", "title": "Finding your Lookalike: Measuring Face Similarity Rather than Face Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05252.pdf"]}, {"id": "10c7575e7db69a208bfb21e3fc0cbc3f7698e99d", "title": "New sparse representation methods; application to image compression and indexing. (Nouvelles m\u00e9thodes de repr\u00e9sentations parcimonieuses ; application \u00e0 la compression et l'indexation d'images)", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a309/ff76c5c3cdc4b7578c9cede814688c6f4521.pdf"]}, {"id": "3f768179cea3c710dac8e68c0a890c48cfdc8ed1", "title": "Face Template Protection Using Deep Convolutional Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w11/Jindal_Face_Template_Protection_CVPR_2018_paper.pdf"]}, {"id": "61692cffff60568da43780df38876c11390ccdc8", "title": "Gabor Orientation Histogram for Face Representation and Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6169/2cffff60568da43780df38876c11390ccdc8.pdf"]}, {"id": "109f2ec25cff824458328eafe53dda07abf4da94", "title": "Face recognition using weighted distance transform", "year": "2013", "pdf": ["http://www.isca.in/rjrs/archive/v3/i9/4.ISCA-RJRS-2013-884.pdf"]}, {"id": "c161f2a98834db4cbb7b42d2853d0bab491b8e8b", "title": "Recognition of Face Images through the FusionApproach", "year": "2014", "pdf": []}, {"id": "7d841607ce29ff4a75734ffbf569431425d8342f", "title": "Bimodal 2D-3D face recognition using a two-stage fusion strategy", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/aissaoui15bimodal2D3D.pdf"]}, {"id": "05bd3ebba35a683e5035a3920352bc7aec85bd78", "title": "License Plate Detection on Autonomous Surveillance Systems", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/05bd/3ebba35a683e5035a3920352bc7aec85bd78.pdf"]}, {"id": "267a60d699bc28d891af65fd3ac11471e377cb1c", "title": "The CSU Face Identification Evaluation System User \u2019 s Guide : Version 4 . 0", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/ef5a/fb91ba54f8dc6cbc75abafd9508b887f0e06.pdf"]}, {"id": "470690bb2c165b8e2c49e25add434216b59b1987", "title": "Incremental Linear Discriminant Analysis for Face Recognition", "year": "2008", "pdf": []}, {"id": "b0b6346104cbf878a072da93d49ad6e9f65befaf", "title": "SCiFI - A System for Secure Face Identification", "year": "2010", "pdf": ["http://people.csail.mit.edu/costan/readings/oakland_papers/scifi.pdf", "http://www.pinkas.net/PAPERS/scifi.pdf"]}, {"id": "9055b155cbabdce3b98e16e5ac9c0edf00f9552f", "title": "MORPH: a longitudinal image database of normal adult age-progression", "year": "2006", "pdf": []}, {"id": "ec89f2307e29cc4222b887eb0619e0b697cf110d", "title": "Face Recognition Using Dual-Tree Complex Wavelet Features", "year": "2009", "pdf": []}, {"id": "1888bf50fd140767352158c0ad5748b501563833", "title": "A GUIDED TOUR OF FACE PROCESSING", "year": "", "pdf": ["https://pdfs.semanticscholar.org/1888/bf50fd140767352158c0ad5748b501563833.pdf"]}, {"id": "5f1371c7d313c58af1fd7ac9574a2965c5abefe9", "title": "Probing the visual representation of faces with adaptation: A view from the other side of the mean.", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/e61e/8b899d234f6f9fb1a9057ec35a44deb28352.pdf"]}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": []}, {"id": "a8cd4bc012e08a2c6b2ca7618ec411a8d9e523e7", "title": "Image Processing and Recognition - Mixture of Experts for Classification of Gender, Ethnic Origin, and Pose of Human Faces", "year": "2000", "pdf": ["https://cours.etsmtl.ca/sys828/REFS/C1/Gutta_MOE_TNN00.pdf", "https://pdfs.semanticscholar.org/a8cd/4bc012e08a2c6b2ca7618ec411a8d9e523e7.pdf"]}, {"id": "21e666abe02b1cab090825199471db7f744aa424", "title": "A REAL-TIME FACE RECOGNITION SYSTEM USING MULTIPLE MEAN FACES AND I DUAL MODE FISHEFWACES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/21e6/66abe02b1cab090825199471db7f744aa424.pdf"]}, {"id": "8de9380536a5f7f29cfe59578041efe7c8ea20bd", "title": "Facial image-based gender classification using Local Circular Patterns", "year": "2012", "pdf": ["http://vision.unipv.it/VA/VA-En/TEST/Maze%20MM/Gender.pdf"]}, {"id": "86450dfae8b38a051c21d6f49073671c3a7b5253", "title": "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification", "year": "2015", "pdf": []}, {"id": "2a2d75e5900faa7e6af8ae050e12926e0f8a9c16", "title": "Face Recognition Method Based on Improved LDA", "year": "2017", "pdf": []}, {"id": "f3a094d213b373d0aa20e157fdedcd349c1d1777", "title": "Single-sample-per-person-based face recognition using fast Discriminative Multi-manifold Analysis", "year": "2014", "pdf": ["http://www.apsipa.org/proceedings_2014/Data/paper/1274.pdf"]}, {"id": "027d856064df21912b7bc5018b6392e776f8bf09", "title": "Face Authentication using Euclidean Distance Model with PSO Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e047/56e57fce345c566ea6ed0f06027990364d9d.pdf"]}, {"id": "5ab4be9e574d7ce9d32c74e9dd25914d3720edb6", "title": "Experiments with Multiview Multi-instance Learning for Supervised Image Classification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0999/84cd79dbf470af2b25b1a0d0c30e07198274.pdf"]}, {"id": "52aaffdc7f8d96f2c8cc8935d8cf5803f193941d", "title": "Ensemble of texture descriptors for face recognition obtained by varying feature transforms and preprocessing approaches", "year": "2017", "pdf": []}, {"id": "b824cdb86ed0b5c43d46a9811c170a661b4646e9", "title": "A test sample oriented two-phase discriminative dictionary learning algorithm for face recognition", "year": "2016", "pdf": []}, {"id": "a8613d1526c816dc5675806bae6a16dd864c3237", "title": "Incremental learning of bidirectional principal components for face recognition", "year": "2010", "pdf": []}, {"id": "618d3ad69c677016547098e01b9c6e94c260de1d", "title": "What are customers looking at?", "year": "2007", "pdf": ["http://cse.msu.edu/~liuxm/publication/liu_krahnstoever_yu_tu_avss_2007.pdf", "http://cvlab.cse.msu.edu/pdfs/liu_krahnstoever_yu_tu_avss_2007.pdf"]}, {"id": "ad5965e00d9511528c91adea0b356ad1e7081f0e", "title": "A weighted probabilistic approach to face recognition from multiple images and video sequences", "year": "2006", "pdf": ["http://www2.ece.ohio-state.edu/~aleix/IMVC06.pdf"]}, {"id": "b8a53daa97fb917a89c351c47f0b197573e20023", "title": "Recognizing Faces---An Approach Based on Gabor Wavelets", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/3b7b/426f179ca3df6dc73c80850155fe9107b03c.pdf"]}, {"id": "0f1ecc5d8834df4390755cb97c239a9f4248b30f", "title": "Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions", "year": "2008", "pdf": ["http://cse.seu.edu.cn/PersonalPage/xgeng/files/tnn08.pdf", "http://dro.deakin.edu.au/eserv/DU:30017604/geng-individualstable-2008.pdf", "http://www.researchgate.net/profile/Kate_Smith-Miles/publication/3304170_Individual_Stable_Space_An_Approach_to_Face_Recognition_Under_Uncontrolled_Conditions/links/00b4952d453ff51c77000000.pdf", "https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tnn08.pdf"]}, {"id": "72367499712525a9f82d0a1d844e2a76d749304d", "title": "Multi-layer Biometric System for the Port of Los Angeles Final Report", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7236/7499712525a9f82d0a1d844e2a76d749304d.pdf"]}, {"id": "93dd71a7261220374b924137b87da59bd1c3b805", "title": "Effective Feature Extraction in High-Dimensional Space", "year": "2008", "pdf": []}, {"id": "ae5743712462f99bc3618eaed9814ef305048ff4", "title": "Face Recognition Method Based on the Adaptive Fuzzy Weighted Sub-Pattern SVD", "year": "2017", "pdf": []}, {"id": "9b2a90eb75a7dfe5436fe085d3ec094e041b440c", "title": "Locality-Preserved Maximum Information Projection", "year": "2008", "pdf": []}, {"id": "db9bdf10452e99a6dcbc5c01e8c934f85d61b101", "title": "A Gabor Pseudo Fisherface Based Face Recognition Algorithm for LSI Implementation", "year": "2009", "pdf": []}, {"id": "6017b19c4c0e6c0e5b32e54efda6eff78b69d1dd", "title": "An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6017/b19c4c0e6c0e5b32e54efda6eff78b69d1dd.pdf"]}, {"id": "3d6229044f6605604818f39f08c5270a5a132a03", "title": "Projective Nonnegative Matrix Factorization based on \u03b1-Divergence", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/3d62/29044f6605604818f39f08c5270a5a132a03.pdf"]}, {"id": "b3fa62a7028578be8d1f8eb0877c762a4d6639c1", "title": "EFFICIENT FACE RECOGNITION SYSTEM USING RANDOM FORESTS by VIDYUT GHOSAL", "year": "", "pdf": ["https://pdfs.semanticscholar.org/b3fa/62a7028578be8d1f8eb0877c762a4d6639c1.pdf"]}, {"id": "c129ec30dbc02c30779ca5812d084758aa69c7e5", "title": "Two-Dimensional Inverse FDA for Face Recognition", "year": "2008", "pdf": []}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": []}, {"id": "534551fe2c4ce76c9a9a752364cd9c3af0dc9093", "title": "Gait Dynamics for Recognition and Classification", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/5345/51fe2c4ce76c9a9a752364cd9c3af0dc9093.pdf"]}, {"id": "4d5c54c4a0f8c7758f31560f2b2d610db0a1306b", "title": "Separable linear discriminant analysis", "year": "2012", "pdf": ["http://www.researchgate.net/profile/Jianhua_Zhao3/publication/257016690_Separable_linear_discriminant_analysis/links/00b7d527725e807471000000.pdf", "http://www.ynufe.edu.cn/pub/tsxy/jhzhao/pub/en/slda.pdf"]}, {"id": "9327886ca53bc1e08df935d77ed331cbc085de01", "title": "Robust Approaches for Multi-Label Face Classification", "year": "2016", "pdf": []}, {"id": "a7a8b35aef658490920d62623870606c46c95c15", "title": "Formal Implementation of a Performance Evaluation Model for the Face Recognition System", "year": "2007", "pdf": ["http://downloads.hindawi.com/journals/bmri/2008/742504.pdf"]}, {"id": "2163c401f6345350e38b2ce6f39a42871fb22c84", "title": "On the effectiveness of soft biometrics for increasing face verification rates", "year": "2015", "pdf": []}, {"id": "9cb916aa3672a8071d2d77931ed221f4f98138f2", "title": "Composition-Aided Face Photo-Sketch Synthesis", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00899.pdf"]}, {"id": "9df3c81ce84b027d9cda37c754250d31a5561005", "title": "Semantic scene modeling and retrieval", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/9df3/c81ce84b027d9cda37c754250d31a5561005.pdf"]}, {"id": "d03e4e938bcbc25aa0feb83d8a0830f9cd3eb3ea", "title": "Face Recognition with Patterns of Oriented Edge Magnitudes", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/d03e/4e938bcbc25aa0feb83d8a0830f9cd3eb3ea.pdf"]}, {"id": "faa917f464183173d22867da6cc213af905dd1d0", "title": "Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines", "year": "2007", "pdf": []}, {"id": "ac5ee48955ce97433cadef011bedd8e65a574255", "title": "Image classification using kernel collaborative representation with regularized least square", "year": "2013", "pdf": ["http://or.nsfc.gov.cn/bitstream/00001903-5/95289/1/1000006844044.pdf"]}, {"id": "093f8e0feb5635eac86ce58080ca80ab5fc88e17", "title": "Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications", "year": "2011", "pdf": ["http://www-users.cs.umn.edu/~cherian/papers/WishartDPMMCVPR.pdf"]}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"]}, {"id": "6766142f415561701250bbaa691fcd8e4173f99d", "title": "Biometric Evaluation on the Cloud: A Case Study with HumanID Gait Challenge", "year": "2012", "pdf": ["http://www.biometrics.org/bc2013/presentations/blds_sarkar_tuesday_1100.pdf", "https://www.computer.org/csdl/proceedings/ucc/2012/4862/00/4862a219.pdf"]}, {"id": "443ddd7e7e367328b175c4e79701a080948fc9ee", "title": "Face recognition using reinforcement learning", "year": "2004", "pdf": ["http://eprints.pascal-network.org/archive/00004484/01/butman_paper.pdf", "http://www.asp.eurasipjournals.com/content/pdf/1687-6180-2008-416318.pdf", "http://www.eng.biu.ac.il/~goldbej/papers/butman_paper.pdf", "http://www.researchgate.net/profile/Babak_Araabi/publication/221123732_Face_recognition_using_reinforcement_learning/links/0c96052b172d96f865000000.pdf", "http://www.springeropen.com/track/pdf/10.1155/2008/416318?site=asp-eurasipjournals.springeropen.com"]}, {"id": "84b451a5749837d28af5e96fd3349d852fefe4f2", "title": "A Robust Face Recognition Approach through Different Local Features", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/84b4/51a5749837d28af5e96fd3349d852fefe4f2.pdf"]}, {"id": "5d3a45e25d0e3221bb581edf74bb920aaaa11b02", "title": "Non-negative Structured Pyramidal Neural Network for Pattern Recognition", "year": "2018", "pdf": []}, {"id": "c777d4cb33219274183fbc212ad5faf25638c8ad", "title": "Mongoloid and Non-Mongoloid Race Classification from Face Image Using Local Binary Pattern Feature Extractions", "year": "2018", "pdf": []}, {"id": "3035bcbad93767570d444c136f4036f357648d60", "title": "Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3035/bcbad93767570d444c136f4036f357648d60.pdf"]}, {"id": "8258ba9179f5c22f9f544de0e4717b37adbaade9", "title": "Face Recognition Using Multiscale and Spatially Enhanced Weber Law Descriptor", "year": "2012", "pdf": []}, {"id": "28525f9bb0797fdf7c0a8a9d1666015c60610077", "title": "Development of Mobile Face Verification Based on Locally Normalized Gabor Wavelets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2852/5f9bb0797fdf7c0a8a9d1666015c60610077.pdf"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": []}, {"id": "0a3fa8e6f158e7faec024d83964751a5d59fe836", "title": "High-Performance Memory-based Face Recognition for Visitor Identification", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/e923/b92b718c44953a708cdde26428496e7489ef.pdf"]}, {"id": "52036ffa9407fae480482615dd76b00d0c50f2fb", "title": "Analysis of Subspace-based Face Recognition Techniques under Changes in Imaging Factors", "year": "2007", "pdf": []}, {"id": "283371bb21aaddf92ea975869a69b3b1aad8a4db", "title": "Recognizing faces using Adaptively Weighted Sub-Gabor Array from a single sample image per enrolled subject", "year": "2010", "pdf": []}, {"id": "77cb6ea4feff6f44e9977cc7572185d24e48ce40", "title": "On the Complementarity of Face Parts for Gender Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/77cb/6ea4feff6f44e9977cc7572185d24e48ce40.pdf"]}, {"id": "a1f4cd1e435f093db6bc88e7a815c17a6b9d24b5", "title": "Face Recognition Using Local Gabor Phase Characteristics", "year": "2010", "pdf": []}, {"id": "6f0001fd57244bdbca5a1cad8143aff2387d4454", "title": "Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition", "year": "2017", "pdf": []}, {"id": "4e7ef87467306d34eaaf2a38d0f10583b7f64754", "title": "Enhancing incremental learning/recognition via efficient neighborhood estimation", "year": "2010", "pdf": []}, {"id": "46216757ae27573fcea9fadc858bb65e48d8f85c", "title": "Robust Eye Detection from Facial Image based on Multi-cue Facial Information", "year": "2007", "pdf": []}, {"id": "b7d540cd0de72e984cdec44afa4a4d039cfd5eea", "title": "Object Tracking Benchmark", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/pami15_tracking_benchmark.pdf"]}, {"id": "11916461bb0a150ef31d4a4249160dce451d77db", "title": "Robust face recognition via discriminative and common hybrid dictionary learning", "year": "2017", "pdf": []}, {"id": "e57acaedd5a76e338bae790d8464aadada4d4902", "title": "Subspaces versus Submanifolds: a Comparative Study in Small Sample Size Problem", "year": "2009", "pdf": []}, {"id": "5322f56b8768f8053e8b0c4944d81377d1d60411", "title": "MEE 09 : 79 FACE ALIGNMENT USING BOOSTED APPEARANCE MODEL ( Discriminative Appearance Model )", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/5322/f56b8768f8053e8b0c4944d81377d1d60411.pdf"]}, {"id": "8b5e32389af26e86e0b00f21d48ef938c3b6c699", "title": "Robotic Arm-Based Face Recognition Software Test Automation", "year": "2018", "pdf": []}, {"id": "01574e0d3be1b866471b83e39f7404c80d608e63", "title": "Application of Blind Deblurring Algorithm for Face Biometric", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/586d/4e31b2b2be4b43e7f3d53530c0a35a3aa93b.pdf"]}, {"id": "d8cf6b19c75489dd7a5f4107e2e3ec494274da41", "title": "Partial Relevance in Interactive Facial Image Retrieval", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/d8cf/6b19c75489dd7a5f4107e2e3ec494274da41.pdf"]}, {"id": "c5697c28272dc7e81c451a63495f229c740d597b", "title": "Intra-class retrieval of non-rigid 3 D objects : Application to Face Recognition", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/c569/7c28272dc7e81c451a63495f229c740d597b.pdf"]}, {"id": "e98dad1ab4eee90dd05b6db36498f021ee21b29b", "title": "Parallelization between face localization and person identification", "year": "2004", "pdf": []}, {"id": "c2c3dd9683f522240c0cec76f924c824a751f4d3", "title": "Face recognition using Zernike and complex Zernike moment features", "year": "2011", "pdf": []}, {"id": "78b329bb205af90e6eac5fc428ce68f73b691d59", "title": "Log-Linear Elliptic Transform for Frontal-Face Parameter Estimation", "year": "2007", "pdf": []}, {"id": "972ef9ddd9059079bdec17abc8b33039ed25c99c", "title": "Novel on understanding How IRIS Recognition works", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/972e/f9ddd9059079bdec17abc8b33039ed25c99c.pdf"]}, {"id": "86f72a4391c3b90a03f8fbbd28d4846947f028d6", "title": "Principal Manifolds and Probabilistic Subspaces for Visual Recognition", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/a8ca/ea2199061186c793e473860835bd9b818157.pdf"]}, {"id": "91d6d25512e3297830b7d8b330f311656db09831", "title": "An experimental comparison of gender classification methods", "year": "2008", "pdf": ["http://www.inf.unideb.hu/~sajolevente/papers2/gender/2008.%20An%20experimental%20comparison%20of%20gender%20classification%20methods.pdf"]}, {"id": "dec56c82568b1ae7ff532017d842f2ed00eba244", "title": "Is ICA significantly better than PCA for face recognition?", "year": "2005", "pdf": ["http://ira.lib.polyu.edu.hk/bitstream/10397/197/1/Conf_V1_05.pdf", "http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/197/1/Conf_V1_05.pdf"]}, {"id": "6890f210cdc574caa89fa94933ec942360aa1e0c", "title": "How effective are landmarks and their geometry for face recognition?", "year": "2006", "pdf": []}, {"id": "b7eead8586ffe069edd190956bd338d82c69f880", "title": "A VIDEO DATABASE FOR FACIAL BEHAVIOR UNDERSTANDING", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/b7ee/ad8586ffe069edd190956bd338d82c69f880.pdf"]}, {"id": "56c448434df9f01de306815122f6517a33235e22", "title": "Label propagation through sparse neighborhood and its applications", "year": "2012", "pdf": []}, {"id": "653942873bc7ea6f1056739dc5015ec3631d9bbe", "title": "Face Detection Techniques-A Review", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6539/42873bc7ea6f1056739dc5015ec3631d9bbe.pdf"]}, {"id": "48be9300acdc484100436f32bd409a89a7dc1ef7", "title": "Chapter 4 FACE RECOGNITION AND ITS APPLICATIONS", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/48be/9300acdc484100436f32bd409a89a7dc1ef7.pdf"]}, {"id": "4c2fe5997a5570720bac2ab5ce187f1bd2aed1e7", "title": "A comparison of two computer-based face identification systems with human perceptions of faces", "year": "1998", "pdf": ["http://dspace.stir.ac.uk/bitstream/1893/285/1/visres98.pdf"]}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"]}, {"id": "1d0cbbe466647286bd73d41032a418b0e2265e7c", "title": "Fusion of face and gait for human recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1d0c/bbe466647286bd73d41032a418b0e2265e7c.pdf"]}, {"id": "3199a528e5e68f48827544abee7fd6b47678dba5", "title": "Human Face Recognition Using Weighted Vote of Gabor Magnitude Filters", "year": "", "pdf": ["https://pdfs.semanticscholar.org/3199/a528e5e68f48827544abee7fd6b47678dba5.pdf"]}, {"id": "b5476afccf97fc498f51170e65ac9cd9665fd2ce", "title": "Wide Range Face Pose Estimation by Modelling the 3D Arrangement of Robustly Detectable Sub-parts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/b547/6afccf97fc498f51170e65ac9cd9665fd2ce.pdf"]}, {"id": "5a1bf442073b95a3392e673dd14bf73fc1e99f6b", "title": "Internal Report 96{08 Face Recognition by Elastic Bunch Graph Matching Face Recognition by Elastic Bunch Graph Matching", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/5a1b/f442073b95a3392e673dd14bf73fc1e99f6b.pdf"]}, {"id": "0f04a95ec885cf98e7cee43eacff13de0c888d3b", "title": "The FERET September 1996 Database and Evaluation Procedure", "year": "1997", "pdf": []}, {"id": "3bbdfa097a4c39012cb322b23051e360c2f7f023", "title": "Learning Race from Face: A Survey", "year": "2014", "pdf": ["http://www.ele.uri.edu/faculty/he/PDFfiles/raceface.pdf", "http://www.ele.uri.edu/faculty/he/PDFfiles/tpami-he.pdf"]}, {"id": "2598c02e537b02ce181eea1aa49a698080a391a8", "title": "Improving Recognition Performance for Duplicate Facial Images", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/2598/c02e537b02ce181eea1aa49a698080a391a8.pdf"]}, {"id": "0bc7b12b4eb5890e5e9fb45db2c7a801980441cb", "title": "A New Color Image Database for Benchmarking of Automatic Face Detection and Human Skin Segmentation Techniques", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/8bc2/92e7d2112701c98e25ccc287cb192f1f52b5.pdf"]}, {"id": "0735e0b0266d94b670fa6e1b974d3676ef4e3e24", "title": "Face Recognition by Elastic Bunch Graph Matching", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/37ef/a1e61c4a52b191dca26e59e1ce686a89541c.pdf"]}, {"id": "905339e771e69cd412f3379c4da02b78ec2a950f", "title": "Learning a Synchronous MAP for Improved Face Recognition", "year": "2004", "pdf": []}, {"id": "216081f7e3ac058b2bad7609676193f50da24db9", "title": "Misleading first impressions: different for different facial images of the same person.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2160/81f7e3ac058b2bad7609676193f50da24db9.pdf"]}, {"id": "1746fec6b033f5fc7aa0f8c99e1f238ac3710ee9", "title": "An Extensive Survey on Feature Extraction Techniques for Facial Image Processing", "year": "2014", "pdf": []}, {"id": "8ab2bc0f298cf595d50064a5bce57065d5b69c59", "title": "Development of Multimedia Application for Smartphones", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/da44/8a1d037f9dcd3e41a752d60df7d28df3c74b.pdf"]}, {"id": "d68f24e2c8e753d4d1e62f2231f6f33370de24de", "title": "NATIONAL BIOMETRIC TEST CENTER COLLECTED WORKS 1997-2000", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/d68f/24e2c8e753d4d1e62f2231f6f33370de24de.pdf"]}, {"id": "fc9e60f370252bc9a6120a6b2c39703ac1fee810", "title": "Critical Points to Determine Persistence Homology", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06148.pdf"]}, {"id": "e04a5a6860b80e3a7fc293d495f3b9a822c3f98d", "title": "Exploration of the Influence of Smiling on Initial Reactions Across Levels of Facial Attractiveness", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e04a/5a6860b80e3a7fc293d495f3b9a822c3f98d.pdf"]}, {"id": "ce20f81374e2058b01910a4d028b79c07ce7e994", "title": "Discriminating Characteristics of Gabor Phase-Face and Improved Methods for Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ce20/f81374e2058b01910a4d028b79c07ce7e994.pdf"]}, {"id": "3bc514bfcaa3808618ff6b4b52e4001e7a24b82b", "title": "3D Probabilistic Feature Point Model for Object Detection and Recognition", "year": "2007", "pdf": ["http://eprints.pascal-network.org/archive/00003053/01/cvpr07romdhani.pdf", "https://gravis.dmi.unibas.ch/publications/2007/CVPR07_Romdhani.pdf"]}, {"id": "19d27714c820ca7cebf8c6d5a76053b23bcfdf11", "title": "Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance", "year": "2005", "pdf": []}, {"id": "6d28ba098f800caaa46d9273631135bd0318303a", "title": "A hierarchical Bayesian model for pattern recognition", "year": "2012", "pdf": []}, {"id": "9d357bbf014289fb5f64183c32aa64dc0bd9f454", "title": "Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions", "year": "2002", "pdf": ["http://mi.informatik.uni-siegen.de/publications/romdhani_eccv02.pdf"]}, {"id": "3d42e17266475e5d34a32103d879b13de2366561", "title": "The Global Dimensionality of Face Space", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/7450/7306832bd71884365ed81e1cc7866e47c399.pdf"]}, {"id": "869abfc258f5512fd95da179f7d92b624900eadd", "title": "Autonomous face recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/869a/bfc258f5512fd95da179f7d92b624900eadd.pdf"]}, {"id": "80fdf9757c0e4b62dcfff03941f1951304ba002c", "title": "Geometry of face space", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/80fd/f9757c0e4b62dcfff03941f1951304ba002c.pdf"]}, {"id": "64b78b6f13c321da77e3770a748772fa837aa8c8", "title": "Parallel Architecture for Face Recognition using MPI", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/64b7/8b6f13c321da77e3770a748772fa837aa8c8.pdf"]}, {"id": "66e21b99ae3aeae79589d260e3daca3b04981a9c", "title": "MULTI-AGENT APPROACH TOWARDS FACE RECOGNITION", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/66e2/1b99ae3aeae79589d260e3daca3b04981a9c.pdf"]}, {"id": "29c7dfbbba7a74e9aafb6a6919629b0a7f576530", "title": "Automatic Facial Expression Analysis and Emotional Classification", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/29c7/dfbbba7a74e9aafb6a6919629b0a7f576530.pdf"]}, {"id": "4d50de8ec7335ab320f9743d199336699307b523", "title": "The Bochum / USC Face Recognition Systemand How it Fared in the FERET Phase", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/4d50/de8ec7335ab320f9743d199336699307b523.pdf"]}, {"id": "a6a7fa90d44a1afc4217e627cde83704668ec53f", "title": "Automatic Face Recognition using Radial Basis Function Networks", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/a6a7/fa90d44a1afc4217e627cde83704668ec53f.pdf"]}, {"id": "0e7862580028aa80c409b52ef1fa683444afcbcd", "title": "Reducing the Dimensionality of Face Space in a Sparse Distributed Local-Features Representation", "year": "2000", "pdf": []}, {"id": "7db00be42ded44f87f23661c49913f9d64107983", "title": "TROPE R HCRAESE R PAID I 2 D FACE RECOGNITION : AN EXPERIMENTAL AND REPRODUCIBLE RESEARCH SURVEY", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7db0/0be42ded44f87f23661c49913f9d64107983.pdf"]}, {"id": "8f9f599c05a844206b1bd4947d0524234940803d", "title": "Efficient 3D reconstruction for face recognition", "year": "2005", "pdf": ["http://research.microsoft.com/en-us/um/people/leizhang/Paper/PR05-Dalong.pdf", "http://sourcedb.ict.cas.cn/cn/ictthesis/200907/P020090722605092316252.pdf"]}, {"id": "620c3f6605e528503a99a8832200d5afdf156c20", "title": "F2ID: a personal identification system using faces and fingerprints", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/620c/3f6605e528503a99a8832200d5afdf156c20.pdf"]}, {"id": "eeae5d972fd093786acebf884a915924f9d66d0d", "title": "Christian Religious Badges Instill Trust in Christian and Non-Christian Perceivers", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/765f/89b7e6a75dd8c23393a2eb97631dded70f97.pdf"]}, {"id": "0ecb58abfe0462fecd27fd5eb0605d736e75acf6", "title": "On Classifying Facial Races with Partial Occlusions and Pose Variations", "year": "2017", "pdf": []}, {"id": "192e439b19824d06bb21ad6bd63cc7a55772549f", "title": "Face recognition using SURF features", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/192e/439b19824d06bb21ad6bd63cc7a55772549f.pdf"]}, {"id": "e66c1950de149e0ccf90d3796dacce8b4886544d", "title": "Th\u00e8se A contribution to mouth structure segmentation in images aimed towards automatic mouth gesture recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e66c/1950de149e0ccf90d3796dacce8b4886544d.pdf"]}, {"id": "06bcd68dcbd8f7dadc8310fa47d44bce982f4559", "title": "Multi-linear neighborhood preserving projection for face recognition", "year": "2014", "pdf": []}, {"id": "e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e", "title": "Ear Recognition : A Complete System", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e000/dd1aec1c7b1e9e781ec7ea66f2bde72faa5e.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "2f348a2ad3ba390ee178d400be0f09a0479ae17b", "title": "Gabor-based kernel PCA with fractional power polynomial models for face recognition", "year": "2004", "pdf": ["http://www.csee.wvu.edu/~richas/ML-Papers/Gabor-Based%20Kernel%20PCA.pdf"]}, {"id": "7a7daa220b80e6f447183ab1e30531bb9eec0e0c", "title": "Survey: Subspace methods for face recognition", "year": "2010", "pdf": []}, {"id": "1c26e415c7eae2f3b0f49e0519f0d985ec661c63", "title": "Intersection of Longest Paths in Graph Theory and Predicting Performance in Facial Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1c26/e415c7eae2f3b0f49e0519f0d985ec661c63.pdf"]}, {"id": "3df7401906ae315e6aef3b4f13126de64b894a54", "title": "Robust learning of discriminative projection for multicategory classification on the Stiefel manifold", "year": "2008", "pdf": ["http://dro.deakin.edu.au/eserv/DU:30044580/venkatesh-robustlearning-2008.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/067.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/067.pdf"]}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"]}, {"id": "b463f935ccd91831cb56bff0a27a88c4320f99dd", "title": "Evidence for rostro-caudal functional organization in multiple brain areas related to goal-directed behavior", "year": "2014", "pdf": ["http://www.christofflab.ca/pdfs/Dixon2014-RostrocaudalHierarchy.pdf", "https://static1.squarespace.com/static/575f018a1bbee0fe9fb1748e/t/5887e0852e69cf3f7dfd22ee/1485299852043/1-s2.0-S0006899314006817-main.pdf"]}, {"id": "0d8753db30693a000a2b704bc4f8c7209f716d66", "title": "Robust Fisher Linear Discriminant Model for Dimensionality Reduction", "year": "2006", "pdf": []}, {"id": "66ec086d1a546939b753671f192d76c06c8b207e", "title": "Non-negative Matrix Factorization on Kernels", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/66ec/086d1a546939b753671f192d76c06c8b207e.pdf"]}, {"id": "b4e6c5942ed495c3158ef4bede9b53690b20d0a4", "title": "Eigenspace-based face recognition: a comparative study of different approaches", "year": "2005", "pdf": ["http://www.cwr.cl/webfaces/articulos/IEEETransSMSC2005.pdf"]}, {"id": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "title": "The MR2: A multi-racial, mega-resolution database of facial stimuli.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/be5b/455abd379240460d022a0e246615b0b86c14.pdf"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w48/Clapes_From_Apparent_to_CVPR_2018_paper.pdf"]}, {"id": "befc6e69cc611aab94ca8217424c83f467605dce", "title": "From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework", "year": "2011", "pdf": ["http://ima.ac.uk/papers/hu2010b.pdf", "https://pdfs.semanticscholar.org/c086/bcc73a9cf6687d58d34996736fdb4966ec40.pdf"]}, {"id": "add80c86fa2e73637b5630a9e32644784e59379c", "title": "Expanding Training Data for Facial Image Super-Resolution", "year": "2018", "pdf": []}, {"id": "8e6f67ba883169d6103795d7366a3821843ac758", "title": "A Novel Face Recognition Algorithm with Support Vector Machine Classifier", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8e6f/67ba883169d6103795d7366a3821843ac758.pdf"]}, {"id": "68bf34e383092eb827dd6a61e9b362fcba36a83a", "title": "Multi-view, High-resolution Face Image Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/68bf/34e383092eb827dd6a61e9b362fcba36a83a.pdf"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/05/APPA-REAL-Slides.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01362.pdf"]}, {"id": "5a363ac89f93377bb72af4346957ce36a01090c8", "title": "Face Recognition of Database of Compressed Images using Local Binary Patterns", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6f18/125c7db759d36e6044ddaf7a5e8eece6e233.pdf"]}, {"id": "bcd299eb32f17b531fa281cb750a89895cb4feb5", "title": "Computer Vision Research at the Computational Vision Laboratory of the Universidad de Chile", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/bcd2/99eb32f17b531fa281cb750a89895cb4feb5.pdf"]}, {"id": "02c38fa9a8ada6040ef21de17daf8d5e5cdc60c7", "title": "Toward an Application of Content-Based Video Indexing to Computer- Assisted Descriptive Video", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/02c3/8fa9a8ada6040ef21de17daf8d5e5cdc60c7.pdf"]}, {"id": "b6ad9d1a8038e9b4ade4d5bbb26f03e813d53071", "title": "Feature Extractions for Small Sample Size Classification Problem", "year": "2007", "pdf": []}, {"id": "8b56e33f33e582f3e473dba573a16b598ed9bcdc", "title": "A new ranking method for principal components analysis and its application to face image analysis", "year": "2010", "pdf": []}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"]}, {"id": "4dab3522bbf33f199996069106b514badb4f900a", "title": "Multimodal Biometrics Using Cancelable Feature Fusion", "year": "2014", "pdf": []}, {"id": "2450c618cca4cbd9b8cdbdb05bb57d67e63069b1", "title": "A connexionist approach for robust and precise facial feature detection in complex scenes", "year": "2005", "pdf": ["http://liris.cnrs.fr/Documents/Liris-6127.pdf"]}, {"id": "d8e8730231dc0e77f3ad61385f918df3d93bd266", "title": "Efficient face detection method with eye region judgment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d8e8/730231dc0e77f3ad61385f918df3d93bd266.pdf"]}, {"id": "79584ed8638392e253ffae2d5ec936239d088285", "title": "An approach to face detection and alignment using hough transformation with convolution neural network", "year": "2016", "pdf": []}, {"id": "9d29ad7576f5ba1622aea3ec3eb14d869015a73f", "title": "An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition", "year": "2014", "pdf": ["http://www.ee.oulu.fi/~jkannala/publications/icpr2014.pdf", "https://users.aalto.fi/~kannalj1/publications/icpr2014.pdf"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"]}, {"id": "e71e9cbcd34bc169b2d6d083e925bd7f44693ca0", "title": "Performance Analysis of Face Recognition Algorithms on Korean Face Database", "year": "2007", "pdf": []}, {"id": "e6639b09a1fda7ddcf3d6ea9b5a011e3467ce381", "title": "When a never-seen but less-occluded image is better recognized: evidence from same-different matching experiments and a model.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/cf13/ad3c8b96e26dfcab0184772895df6d0a35ff.pdf"]}, {"id": "2a5efa83ea5c4733757b838b84ba6519f873b826", "title": "A Continuous Learning for Solving a Face Recognition Problem", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2a5e/fa83ea5c4733757b838b84ba6519f873b826.pdf"]}, {"id": "91e58c39608c6eb97b314b0c581ddaf7daac075e", "title": "Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00307.pdf"]}, {"id": "8b21c89b436e0aa540f7b9648e4344eb30a6e372", "title": "Robust coding schemes for indexing and retrieval from large face databases", "year": "2000", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=AA967DAC4FAF1230FB05ECAB4175C7DF?doi=10.1.1.58.6993&rep=rep1&type=pdf", "http://visgraph.cs.ust.hk/biometrics/Papers/Face/imagpro2000-01-01.pdf"]}, {"id": "a2c9ddd7e7df99dba7c7b2b522f5c601b341c695", "title": "Eigenspace-based Face Recognition: A comparative study of different hybrid approaches.", "year": "2002", "pdf": []}, {"id": "2dab5bddd86b0c1d8dc201c5860b3d5832da87a4", "title": "Interactive Reception Desk with Face Recognition-Based Access Control", "year": "2007", "pdf": []}, {"id": "0ea2fa4039b6fc733dbc6942642287f141c1121c", "title": "Situation Awareness through Multimodal Biometric Template Security in Real-Time Environments", "year": "2013", "pdf": []}, {"id": "6a552df527057d433b6b68cab7c2b7661132dbcc", "title": "Selection of optimized features and weights on face-iris fusion using distance images", "year": "2015", "pdf": []}, {"id": "6ae02dac51860d9124db22a09a160a6478123b33", "title": "Median ternary pattern (MTP) for face recognition", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/iciev/2013/0400/00/06572546.pdf"]}, {"id": "ac2a2c655ad1b3eea3f222b213a774aa25a403c0", "title": "Self-Learning of Feature Regions for Image Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ac2a/2c655ad1b3eea3f222b213a774aa25a403c0.pdf"]}, {"id": "1fbccb842cf34697c98532d69b044463985f90ee", "title": "Constructing PCA Baseline Algorithms to Reevaluate ICA-Based Face-Recognition Performance", "year": "2007", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=781393DC492A91E996B002EDC5419A75?doi=10.1.1.500.8611&rep=rep1&type=pdf", "http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/228/1/SMCB_C_37_4_07.pdf"]}, {"id": "0af10b19c5636ab37609bfc3289fa1b9a40849b6", "title": "Maximum Confidence Hidden Markov Modeling for Face Recognition", "year": "2008", "pdf": ["http://conf.ncku.edu.tw/research/articles/e/20080926/4.pdf"]}, {"id": "07d70e554f7c9d4a22944bc5e0685dfdd813f33a", "title": "A spatiotemporal feature-based approach for facial expression recognition from depth video", "year": "2015", "pdf": []}, {"id": "f5bd11c5c5a455df04b171e37acd1fbdbf3dacd5", "title": "African American and Caucasian males ' evaluation of racialized female facial averages", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f15/c3a426d307dd1e72f7feab1e671d20fb1adb.pdf"]}, {"id": "d962dc575bcbb054a76385b7f2d446e83f17d1c3", "title": "Illumination compensation method for local matching Gabor face classifier", "year": "2010", "pdf": []}, {"id": "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "title": "Multi-subregion based correlation filter bank for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1603.07604.pdf"]}, {"id": "64d795ac6b90f1b7dd227e7e8f24a614d18aecfc", "title": "Integrating monomodal biometric matchers through logistic regression rank aggregation approach", "year": "2008", "pdf": []}, {"id": "bd766fb148c419673778cd026a8c4e8c5e4696d2", "title": "Evaluation of wavelet based linear subspace techniques for face recognition", "year": "2008", "pdf": []}, {"id": "f21a8e372fa12d87fec77d3297afe1e566e229a7", "title": "Nonnegative tensor factorization as an alternative Csiszar\u2013Tusnady procedure: algorithms, convergence, probabilistic interpretations and novel probabilistic tensor latent variable analysis algorithms", "year": "2010", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/dmkd_2011.pdf"]}, {"id": "89d4f8bde129198f41f454b2fd9bf29fce809fdb", "title": "Face detection using discriminating feature analysis and support vector machine in video", "year": "2004", "pdf": []}, {"id": "fff0a848b57361e1e99548c95fbc2ec9ae00ce32", "title": "A Robust Approach for Gender Recognition Using Deep Learning", "year": "2018", "pdf": []}, {"id": "fde0180735699ea31f6c001c71eae507848b190f", "title": "Face Detection and Sex Identification from Color Images using AdaBoost with SVM based Component Classifier", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fde0/180735699ea31f6c001c71eae507848b190f.pdf"]}, {"id": "1aab5662f57ceb813fbe5233f8b6fb5868f5d9fe", "title": "Sources of interference in recognition testing.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/de29/aceb764c55946d11a9777c1d9f4edb320f50.pdf"]}, {"id": "93a451b5efa21887dae43eb73b4793ae3d184138", "title": "A Study on the Effectiveness of Different Patch Size and Shape for Eyes and Mouth Detection", "year": "2010", "pdf": ["https://arxiv.org/pdf/1007.1708.pdf"]}, {"id": "dd2d952e5dfad764649a1bd9adeaa429f0998c12", "title": "A Combined Approach to Feature Extraction for Mouth Characterization and Tracking", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3653/9d1b34de93c72faf7671745c9cde2c7f9e40.pdf"]}, {"id": "95fb31beaa745557fa33ec4f670ab4e130ff5bf4", "title": "Speeding up spatial approximation search in metric spaces", "year": "2009", "pdf": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "pdf": []}, {"id": "29f5ed1693511c636822b42db76639911bdeeda4", "title": "Local maximal margin discriminant embedding for face recognition", "year": "2014", "pdf": ["http://novintarjome.com/wp-content/uploads/2014/02/face2154414444.pdf", "http://vahabonline.com/wp-content/uploads/2014/02/Local-maximal_a9s8d5f63d2zxdv1d00d.pdf"]}, {"id": "4f507eb9823b13f1f782d25d6f0592924c087562", "title": "Holistic processing as measured in the composite task does not always go with right hemisphere processing in face perception", "year": "2016", "pdf": []}, {"id": "76b9fe32d763e9abd75b427df413706c4170b95c", "title": "Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/GOD_SI_PR.pdf"]}, {"id": "7a870f60eebb2c7417140f8ab48028a0f57f7b42", "title": "A new extension of kernel feature and its application for visual recognition", "year": "2008", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2008/gk19.pdf"]}, {"id": "70769def1284fe88fd57a477cde8a9c9a3dff13f", "title": "Adaptive feature representation for robust face recognition using context-aware approach", "year": "2007", "pdf": []}, {"id": "3f4b8fe5edfac918c1c74317242b2d91346d5fb6", "title": "Adaptive discriminant analysis for face recognition from single sample per person", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3f4b/8fe5edfac918c1c74317242b2d91346d5fb6.pdf"]}, {"id": "110a6a5304c6773773a0cd217f3e9d540b2f698d", "title": "Gender Recognition Based On Combining Facial and Hair Features", "year": "2013", "pdf": []}, {"id": "7238e8f34c662af74b81de80fa6c01838a06b349", "title": "Combining SVMS for face class modeling", "year": "2005", "pdf": ["http://signal.ee.bilkent.edu.tr/defevent/abstract/a1316.pdf", "http://signal.ee.bilkent.edu.tr/defevent/papers/cr1316.pdf", "https://infoscience.epfl.ch/record/87261/files/Meynet2005_1284.pdf"]}, {"id": "0c852df66ccd97f42317b8c021424ca6f93721b7", "title": "Modeling face appearance with nonlinear independent component analysis", "year": "2004", "pdf": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"]}, {"id": "a716972c8d3e6c25343c07c01361375bcb34118b", "title": "An Incremental Two-Dimensional Principal Component Analysis for Image Compression and Recognition", "year": "2016", "pdf": []}, {"id": "4a5014c23e2adb640f4b07b9b47ca2f2a5d427e6", "title": "On the Estimation of Face Recognition System Performance using Image Variabil- ity Information", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a50/14c23e2adb640f4b07b9b47ca2f2a5d427e6.pdf"]}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": []}, {"id": "8f077eeeb9678a31e77a17a5c28c36699cf13f83", "title": "Gender classification of faces using adaboost", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/8f07/7eeeb9678a31e77a17a5c28c36699cf13f83.pdf"]}, {"id": "bf39babab5648ff64cc4b79bfec96e8c6c93b812", "title": "The Impact of Disappointment in Decision Making: Inter-Individual Differences and Electrical Neuroimaging", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/b3b0/4c872d83a55ac5787829edcae98c6a27c64e.pdf"]}, {"id": "7166c7a4d1e90876899d61e3fa4e30beb5f1ec9e", "title": "State of The Art In 3 D Face Recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/1020/c3360cd369cdd683d55c0c5ef0d9cfb71fb1.pdf"]}, {"id": "4850e40b0e69e30723cb027fdc4a38ee1322589b", "title": "Detec\u00e7\u0303ao de Landmarks Faciais Usando SVM", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4850/e40b0e69e30723cb027fdc4a38ee1322589b.pdf"]}, {"id": "15dc50e3bd1063c3760e1c17177a0e898175c61e", "title": "Visual routines for eye location using learning and evolution", "year": "2000", "pdf": []}, {"id": "084f1a6c62a3464b1a9b745fee40af2895920301", "title": "Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance", "year": "2006", "pdf": ["http://nichol.as/papers/Liu/Capitalize%20on%20Dimensionality%20Increasing%20Techniques%20for%20Improving.pdf", "https://frvp.njit.edu/images/new-slider/TPAMI06-DIF.pdf"]}, {"id": "63fac08993df90719a52fe3f1c928a03bddc333d", "title": "Nonlinear DCT Discriminant Feature Extraction with Generalized KDCV for Face Recognition", "year": "2008", "pdf": []}, {"id": "6b18628cc8829c3bf851ea3ee3bcff8543391819", "title": "Face recognition based on subset selection via metric learning on manifold", "year": "2015", "pdf": ["http://engineering.cae.cn/fitee/fileup/2095-9184/SUPPL/20151221082702_2.pdf"]}, {"id": "8016233d289f4d7da40f3fcae550b29dce2acfc1", "title": "Effective features inspired from Ventral and dorsal stream of visual cortex for view independent face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8016/233d289f4d7da40f3fcae550b29dce2acfc1.pdf"]}, {"id": "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "title": "Efficient face recognition using wavelet-based generalized neural network", "year": "2013", "pdf": []}, {"id": "3399021c2cd7bc4f46494c5aa38bac82ef290e7b", "title": "Robust face recognition after plastic surgery using region-based approaches", "year": "2015", "pdf": []}, {"id": "36f039e39efde3558531b99d85cd9e3ab7d396b3", "title": "9 Efficiency of Recognition Methods for Single Sample per Person Based Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6d42/4349f2a2eeb4a74c76b737e7a7e0693f0c5d.pdf"]}, {"id": "537fbb3d5216333bcc91730f3ee61ff71f710e37", "title": "An Improved Face Recognition Algorithm Using Quantized DCT Coefficients", "year": "2011", "pdf": []}, {"id": "abf0e3ce602287875a2d1ddf1bb4ab76eceab977", "title": "Face recognition using generalized self organising map based on PCNN features", "year": "2015", "pdf": []}, {"id": "2d20ccac97cb11460097c10c90feebac3887f92d", "title": "A data association approach to detect and organize people in personal photo collections", "year": "2011", "pdf": ["https://www.researchgate.net/profile/Marco_Morana2/publication/230603446_A_data_association_approach_to_detect_and_organize_people_in_personal_photo_collections/links/02e7e52cdabae3881b000000.pdf"]}, {"id": "6d994076a6ef3b6e74e2a0149af759e48b71f9a0", "title": "Could dynamic attractors explain associative prosopagnosia?", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6d99/4076a6ef3b6e74e2a0149af759e48b71f9a0.pdf"]}, {"id": "d7b6bbb94ac20f5e75893f140ef7e207db7cd483", "title": "griffith . edu . au Face Recognition across Pose : A Review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7b6/bbb94ac20f5e75893f140ef7e207db7cd483.pdf"]}, {"id": "b6aaaf6290ba0ca13be61d122907617f1ea86315", "title": "Embedded Face Recognition Using Cascaded Structures PROEFSCHRIFT", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/b6aa/af6290ba0ca13be61d122907617f1ea86315.pdf"]}, {"id": "22032c78ff1e89b45a815f5caca35756d935dd5e", "title": "Face recognition in JPEG and JPEG2000 compressed domain", "year": "2009", "pdf": ["http://www.vcl.fer.hr/papers_pdf/Face%20Recognition%20in%20JPEG%20and%20JPEG2000%20Compressed%20Domain.pdf"]}, {"id": "829f390b3f8ad5856e7ba5ae8568f10cee0c7e6a", "title": "A Robust Rotation Invariant Multiview Face Detection in Erratic Illumination Condition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bbf4/f0ce0838c8eec048e3a9b212053fd98dde5a.pdf"]}, {"id": "b542f58c1c9abe627638e9267040b397b6668374", "title": "False alarm rate: a critical performance measure for face recognition", "year": "2004", "pdf": []}, {"id": "5f7ae1e13c00bb58856374b9888f1ddf73c6865e", "title": "Gender classification using face image and voice", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5f7a/e1e13c00bb58856374b9888f1ddf73c6865e.pdf"]}, {"id": "2cf40b684c0cb789ed8d9f8eee0576f3b3fec98e", "title": "Robust Selectivity for Faces in the Human Amygdala in the Absence of Expressions", "year": "2013", "pdf": 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Recognition", "year": "2007", "pdf": []}, {"id": "a78cf9ee6571b99c74e330dfe8d357e51fd8cd28", "title": "Random subspace support vector machine ensemble for reliable face recognition", "year": "2014", "pdf": []}, {"id": "b27322d8b0984ce3b756f2b7c43ea698d635f2ef", "title": "(WKSP) On the Potential of Data Extraction by Detecting Unaware Facial Recognition with Brain-Computer Interfaces", "year": "2018", "pdf": []}, {"id": "c4cb04972f42ae2bdf26cff0c84959dc0b5178f1", "title": "The other-race effect for face perception: an event-related potential study", "year": "2007", "pdf": []}, {"id": "745b77016f972288925602d0d67bbba7d2c0fee9", "title": "Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric", "year": "2014", "pdf": []}, {"id": "c3561494f98929d8019b0b0e9481b2e79424f60c", "title": "Object Localization Based on Global Structure Constraint Model and Particle Swarm Optimization", "year": "2008", "pdf": []}, {"id": "6c62c592d9d3090b446cf76147468a6190431b3d", "title": "Gabor feature based classification using statistical models for face recognition", "year": "2010", "pdf": ["https://core.ac.uk/download/pdf/82761911.pdf"]}, {"id": "d590ca357910532cc62eeacc56af8f86b9fe642b", "title": "Metric Spaces Library", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d590/ca357910532cc62eeacc56af8f86b9fe642b.pdf"]}, {"id": "3c8aa33ccff8f959df28e4e883867af32e7b4b78", "title": "The impact of task relevance and degree of distraction on stimulus processing", "year": "2013", "pdf": ["http://aura.abdn.ac.uk/bitstream/2164/2982/1/BMC_Neuroscience.pdf", "http://download-redirector.springer.com/redirect?contentType=pdf&ddsId=art:10.1186/1471-2202-14-107&originUrl=http://bmcneurosci.biomedcentral.com/article/10.1186/1471-2202-14-107", "https://opus.bibliothek.uni-wuerzburg.de/opus4-wuerzburg/frontdoor/deliver/index/docId/9727/file/Biehl_1471-2202-14-107.pdf"]}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"]}, {"id": "c29e33fbd078d9a8ab7adbc74b03d4f830714cd0", "title": "3D shape constraint for facial feature localization using probabilistic-like output", "year": "2004", "pdf": ["http://research.microsoft.com/en-us/um/people/leizhang/Paper/FG04-Longbin.pdf"]}, {"id": "a9d1d00d6897ae23c9a7e9fb75a3c7417a6730a4", "title": "Low-complexity face recognition using contour-based binary descriptor", "year": "2017", "pdf": []}, {"id": "4d0ef449de476631a8d107c8ec225628a67c87f9", "title": "Face system evaluation toolkit: Recognition is harder than it seems", "year": "2010", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2010b_photohead.pdf"]}, {"id": "1ac8cb17c278fde95d76cdf066720195d115d265", "title": "Human face recognition based on multidimensional PCA and extreme learning machine", "year": "2011", "pdf": []}, {"id": "35047c9667a4c5160f9f40f16b455839e63662ff", "title": "Color Object Recognition Based on a Clifford Fourier Transform", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5fce/66e13c7534c82525e614c61b28286fb9f673.pdf"]}, {"id": "b083f43b0a1d4174f3718582f9904db8b6275024", "title": "The Dorsal Attention Network Reflects Both Encoding Load and Top\u2013down Control during Working Memory", "year": "2018", "pdf": ["https://orbi.uliege.be/bitstream/2268/217893/1/JOCN_2018.pdf"]}, {"id": "7b4e42f4dac397e5214d957f75832e58d6f28299", "title": "Combining null space-based Gabor features for face recognition", "year": "2004", "pdf": ["http://www.ee.columbia.edu/~wliu/ICPR04_LiuWei2.pdf"]}, {"id": "ce073cb70eec80d87c9e07a4ec2d4162d91e23a6", "title": "Positive Definite Matrices : Data Representation and Applications to Computer Vision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce07/3cb70eec80d87c9e07a4ec2d4162d91e23a6.pdf"]}, {"id": 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Reconstruction Methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d4b8/8be6ce77164f5eea1ed2b16b985c0670463a.pdf"]}, {"id": "4338ccdbc0407d0ee8fda202c251163e7be49c90", "title": "Cost Component Analysis", "year": "2003", "pdf": []}, {"id": "5ce63df36f893d2ea13b58a20e58ebc0854ef4f8", "title": "A Kernel Two-Phase Test Sample Sparse Representation for Face Recognition", "year": "2016", "pdf": []}, {"id": "964e43f4983a42ef3790c265bdce42c1fce56d79", "title": "A virtual environment tool for benchmarking face analysis systems", "year": "2012", "pdf": ["http://face.cs.kit.edu/befit/workshop2012/pdf/slides/verschae-slides.pdf", "http://www.researchgate.net/profile/Rodrigo_Verschae/publication/258947958_A_virtual_environment_tool_for_benchmarking_face_analysis_systems/links/0046353953f9a79168000000.pdf"]}, {"id": "3eafadfd496f63df4eabbde15fe1add55d82ee53", "title": "Matching pursuit filters applied to face identification", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/3eaf/adfd496f63df4eabbde15fe1add55d82ee53.pdf"]}, {"id": "6163381244823241373f6741a282f2c4a868b59c", "title": "Multimodal biometrics for identity documents (MBioID).", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6163/381244823241373f6741a282f2c4a868b59c.pdf"]}, {"id": "6075c07ecb29d551ffa474c3eca45f2da5fd5007", "title": "Shallow convolutional neural network for eyeglasses detection in facial images", "year": "2017", "pdf": []}, {"id": "b4a16fe1469f2048d031db626b7cbc5bec7f4055", "title": "ONLINE FACIAL CARICATURE GENERATOR", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b4a1/6fe1469f2048d031db626b7cbc5bec7f4055.pdf"]}, {"id": "8c98f67bb17c94d4d7392dba0774e2e931451db6", "title": "Gender recognition from facial images: two or three dimensions?", "year": "2016", "pdf": []}, {"id": "0dca6aa1c0143aa190973fb2256c16d700992473", "title": "An introduction to the good, the bad, & the ugly face recognition challenge problem", "year": "2011", "pdf": ["http://www.cs.colostate.edu/~draper/papers/phillips_fg11.pdf", "http://www.cs.colostate.edu/~vision/publications/phillips_fg11.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=907484", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=907484"]}, {"id": "2921719b57544cfe5d0a1614d5ae81710ba804fa", "title": "Face Recognition Enhancement Based on Image File Formats and Wavelet", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2921/719b57544cfe5d0a1614d5ae81710ba804fa.pdf"]}, {"id": "f442a2f2749f921849e22f37e0480ac04a3c3fec", "title": "Critical Features for Face Recognition in Humans and Machines", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f442/a2f2749f921849e22f37e0480ac04a3c3fec.pdf"]}, {"id": "3c1416dd18bededa58d3ac6d2e1f3658ef6cf961", "title": "Active-vision system for multi-target surveillance", "year": "2005", "pdf": []}, {"id": "fd1b917476b114919de0ae1b6a4b96a52a410c20", "title": "A Memory Based Face Recognition Method", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/fd1b/917476b114919de0ae1b6a4b96a52a410c20.pdf"]}, {"id": "5437b5cfb0f8eda908559a16e7ed7d7b64be641b", "title": "Face recognition by stepwise nonparametric margin maximum criterion", "year": "2005", "pdf": ["http://www.researchgate.net/profile/Xipeng_Qiu/publication/4193949_Face_recognition_by_stepwise_nonparametric_margin_maximum_criterion/links/02e7e52440c804c31d000000.pdf"]}, {"id": "02cfef55937103669a40710404ab5f0afd4498e8", "title": "Face verification competition on the XM2VTS database", "year": "2003", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/messer_2003_avbpa.pdf", "http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/icba2006/messer-avbpa2003.pdf"]}, {"id": "3a564db6701cc64a4bf336e6012ada0952fed02d", "title": "Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2643/a611f10ce8acfef41e1e49d1be04d5d34190.pdf"]}, 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"http://www.tc.columbia.edu/media/centers/lte-lab/2017_Schneck-et-al_Biological-Psychiatry_CNNI.pdf"]}, {"id": "3076adf64a28eea92308541978f8ed6907fe2672", "title": "The functional architecture for face-processing expertise: FMRI evidence of the developmental trajectory of the core and the extended face systems", "year": "2013", "pdf": ["http://dnilab.org/Resources/Haist-et-al_2013_Face-Processing-Development.pdf", "http://isiarticles.com/bundles/Article/pre/pdf/39820.pdf"]}, {"id": "18c72175ddbb7d5956d180b65a96005c100f6014", "title": "From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/97bb/c2b439a79d4dc0dc7199d71ed96ad5e3fd0e.pdf"]}, {"id": "6d66c98009018ac1512047e6bdfb525c35683b16", "title": "Face Recognition Based on Fitting a 3D Morphable Model", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/6d66/c98009018ac1512047e6bdfb525c35683b16.pdf"]}, {"id": "4a763a6e161d372f17fa591c35932c4f62e3e12b", "title": "Facial feature extraction by a cascade of model-based algorithms", "year": "2008", "pdf": ["http://vca.ele.tue.nl/publications/data/Zuo2008a.pdf"]}, {"id": "5367610430dc0380dfbe8344e08537267875968c", "title": "Tracking 3 D Surfaces Using Multiple Cameras : A Probabilistic Approach", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5367/610430dc0380dfbe8344e08537267875968c.pdf"]}, {"id": "82b8a0c3e8f46ab0af5179a9d9a6b137405096d3", "title": "Generalized Low-Rank Approximations of Matrices Revisited", "year": "2010", "pdf": ["http://parnec.nuaa.edu.cn/jliu/papers/liu_tnn_10.pdf", "https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tnn10.pdf", "https://www.researchgate.net/profile/Songcan_Chen/publication/41509572_Generalized_low-rank_approximations_of_matrices_revisited/links/0046351406aaa5e8c6000000.pdf"]}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"]}, {"id": "3ce0f48106fd872e2c2327596c2677c4680444a2", "title": "Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person Authentication.", "year": "2002", "pdf": []}, {"id": "35ccf703df2dd37fc857ab9b438e18c9a65ba5b9", "title": "Two-step supervised confidence measure for automatic face recognition", "year": "2014", "pdf": ["http://home.zcu.cz/~pkral/papers/mlsp_kral14.pdf"]}, {"id": "30d5bbfb35a0d534c39ba709a3c625e9965d2985", "title": "Assessing face image quality for smartphone based face recognition system", "year": "2017", "pdf": []}, {"id": "b755505bdd5af078e06427d34b6ac2530ba69b12", "title": "NFRAD: Near-Infrared Face Recognition at a Distance", "year": "2011", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Maengetal_NIFaceRecognitionDistance_IJCB11.pdf"]}, {"id": "217d22a63b45bb5960c614ede827fb5c532e0add", "title": "Neural mechanisms of concurrent stimulus processing in dual tasks", "year": "2009", "pdf": []}, {"id": "abb4b8f9df14f7b15aa43920d0329eccada33b97", "title": "LBP Yard\u0131m\u0131yla Go\u0308ru\u0308ntu\u0308deki Kis\u0327inin Yas\u0327\u0131n\u0131n Bulunmas\u0131", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/abb4/b8f9df14f7b15aa43920d0329eccada33b97.pdf"]}, {"id": "2a0a335d4b2183b03ea8dfc27e31a1891771c4e6", "title": "Glasses detection by boosting simple wavelet features", "year": "2004", "pdf": ["http://media.cs.tsinghua.edu.cn/~imagevision/papers/203_WU_B.pdf"]}, {"id": "6d10c110adaa381084c0b8ed2fd391d1fcd84a03", "title": "Feature Extraction Based on Equalized ULBP for Face Recognition", "year": "2012", "pdf": []}, {"id": "f6488c7741eaddf6cbbd0b0728c48fd8ee1c00a4", "title": "Super-Resolution of Face Images Using Kernel PCA-Based Prior", "year": "2007", "pdf": ["http://www.ee.iitm.ac.in/~raju/journals/j29.pdf"]}, {"id": "eec466317c83e8093a32b978e753c3fc8f21d21b", "title": "Performance Characterization in Computer Vision A Tutorial", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/eec4/66317c83e8093a32b978e753c3fc8f21d21b.pdf"]}, {"id": "bdbded88916307e282a22dadb7954a4942300908", "title": "Lean histogram of oriented gradients features for effective eye detection", "year": "2015", "pdf": []}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": []}, {"id": "05fa0ce63fb55a848d5ecd6cd1c45d3174dd889a", "title": "Making FLDA applicable to face recognition with one sample per person", "year": "2004", "pdf": ["http://parnec.nuaa.edu.cn/jliu/papers/chen_pr_04.pdf", "http://www.researchgate.net/profile/Songcan_Chen/publication/220602899_Making_FLDA_applicable_to_face_recognition_with_one_sample_per_person/links/0046351406aa757b8b000000.pdf", "https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr04a.pdf"]}, {"id": "6dd850acb928457ffd44e5d9dceb7946a7f0c6ee", "title": 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"title": "Embedded face recognition based on fast genetic algorithm for intelligent digital photography", "year": "2006", "pdf": []}, {"id": "27e0684fa5b57715162ac6c58a6ea283c7db1719", "title": "Select eigenfaces for face recognition with one training sample per subject", "year": "2004", "pdf": []}, {"id": "ddeacdc30d32da02fd8313657926ef8a99e57620", "title": "Selection and fusion of facial features for face recognition", "year": "2009", "pdf": ["http://azadproject.ir/wp-content/uploads/2013/07/Selection-and-fusion-of-facial-features-for-face-recognition.pdf"]}, {"id": "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "title": "2.1. Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"]}, {"id": "1434c9140ba724c9a92f478781e890434e7a0215", "title": "The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/1434/c9140ba724c9a92f478781e890434e7a0215.pdf"]}, {"id": "548233d67f859491e50c5c343d7d77a7531d4221", "title": "Robust detection of outliers for projection-based face recognition methods", "year": "2007", "pdf": []}, {"id": "91b1a59b9e0e7f4db0828bf36654b84ba53b0557", "title": "Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition", "year": "2015", "pdf": ["http://www.kresttechnology.com/krest-academic-projects/krest-mtech-projects/ECE/MTech%20DSP%202015-16/MTech%20DSP%20BasePaper%202015-16/50.pdf"]}, {"id": "dc2c353fa43a75ec92327e323ba5715c400bf92b", "title": "Face Recognition in Hyperspectral Images", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/dc2c/353fa43a75ec92327e323ba5715c400bf92b.pdf"]}, {"id": "62c425be3e07e076d1339d1f2fe2ed319a859f02", "title": "Face Recognition & Gender Determination Using LIPS .", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/62c4/25be3e07e076d1339d1f2fe2ed319a859f02.pdf"]}, {"id": "af54dd5da722e104740f9b6f261df9d4688a9712", "title": "Portability: A New Challenge on Designing Family Image Database.", "year": "2010", "pdf": []}, {"id": "ec90d333588421764dff55658a73bbd3ea3016d2", "title": "Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec90/d333588421764dff55658a73bbd3ea3016d2.pdf"]}, {"id": "00fb2836068042c19b5197d0999e8e93b920eb9c", "title": "Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/00fb/2836068042c19b5197d0999e8e93b920eb9c.pdf"]}, {"id": "8e1d84e08109b5c692f7eff5cbc1816e5bdb00a3", "title": "Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/9d67/61789aa33c2610c7ceebc4eea52a6c71c443.pdf"]}, {"id": "3516d0c6918bcf977ad004b337fb066a9d5a8e17", "title": "A Novel Face Hallucination with an Error Regression Model and MPCA in RGB Color Space", "year": "", "pdf": ["https://pdfs.semanticscholar.org/3516/d0c6918bcf977ad004b337fb066a9d5a8e17.pdf"]}, {"id": "c6ecb8e20250e3fa8ef2a5edd8fad4131f3e874f", "title": "EigenBody : Analysis of body shape for gender from noisy images", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c6ec/b8e20250e3fa8ef2a5edd8fad4131f3e874f.pdf"]}, {"id": "49a7949fabcdf01bbae1c2eb38946ee99f491857", "title": "A concatenating framework of shortcut convolutional neural networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00974.pdf"]}, {"id": "51173e0f31f362f3ea59ae3e98c5cdf31b2a2ec5", "title": "Face feature extraction and recognition based on discriminant subclass-center manifold preserving projection", "year": "2012", "pdf": ["http://www.ittc.ku.edu/~clan/papers/prl2012.pdf"]}, {"id": "a6190a778a4e343ceb60bbd738df1cce094e7332", "title": "Robust lip feature detection in facial images", "year": "2017", "pdf": []}, {"id": "d0eb3fd1b1750242f3bb39ce9ac27fc8cc7c5af0", "title": "Minimalistic CNN-based ensemble model for gender prediction from face images", "year": "2016", "pdf": ["http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf"]}, {"id": "b21b860cf21edb2e57f62b665203e5d8b64829d5", "title": "Extended feed forward neural networks with random weights for face recognition", "year": "2014", "pdf": []}, {"id": "418b106e1f072c4da400b516079f429d84cd7305", "title": "Model-based Face Computation Project Role in Support of Imsc Strategic Plan Discussion of Methodology Used", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/418b/106e1f072c4da400b516079f429d84cd7305.pdf"]}, {"id": "749146938bb9c953348e105acde9f261f15fb2cd", "title": "Learning the best subset of local features for face recognition", "year": "2007", "pdf": ["http://www.cmpe.boun.edu.tr/~ethem/files/papers/berk_patrec.pdf"]}, {"id": "367c571480ac46d48be050dee4e6103a0ebb5db5", "title": "Multimedia Content Based Image Retrieval Iii : Local Tetra", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/367c/571480ac46d48be050dee4e6103a0ebb5db5.pdf"]}, {"id": "c4330fabc238fa114f0b8e7b1c099e6565026cdf", "title": "Adaptive Context-Aware Filter Fusion for Face Recognition on Bad Illumination", "year": "2006", "pdf": []}, {"id": "214e544d3b01ddbc24e3093bbf186fdecc600342", "title": "Automated conformance testing for ISO/IEC 19794-5 Standard on facial photo specifications", "year": "2013", "pdf": []}, {"id": "5fac23560b5ba4d45045f1edd837ed4bb6c1f5ca", "title": "Optimization of a Face Verification System using Bayesian Screening Techniques.", "year": "2005", "pdf": []}, {"id": "471befc1b5167fcfbf5280aa7f908eff0489c72b", "title": "Class-Specific Kernel-Discriminant Analysis for Face Verification", "year": "2007", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/Goudelis07a.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/ieee_tifs_2007_goudelis.pdf"]}, {"id": "fb2ac6befd22fde3e6cff180d3431f02c81bc32a", "title": "Genetic optimisation of illumination compensation methods in cascade for face recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fb2a/c6befd22fde3e6cff180d3431f02c81bc32a.pdf"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"]}, {"id": "f09c9adff8f71c1be5ebbb1bb01d4d762aa385e9", "title": "A gender classification system robust to occlusion using Gabor features based (2D)2PCA", "year": "2014", "pdf": []}, {"id": "7fc5ab3743e6e9a2f4fe70152440e13a673e239b", "title": "Improved Face Recognition Rate Using HOG Features and SVM Classifier", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7fc5/ab3743e6e9a2f4fe70152440e13a673e239b.pdf"]}, {"id": "e74c4cf90c5bbb88a8ae77aaa5709984f7e6a80f", "title": "Viewpoint Unconstrained Face Recognition Based on Affine Local Descriptors and Probabilistic Similarity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e74c/4cf90c5bbb88a8ae77aaa5709984f7e6a80f.pdf"]}, {"id": "cbefe7939bc7f44274ebbc161c14054b55db9af2", "title": "An Extended Local Binary Pattern for Gender Classification", "year": "2013", "pdf": ["http://www.cse.unr.edu/~monica/Research/Publications/Conferences/RoayaeiNicolescu_ISM_13.pdf"]}, {"id": "d6255a0db6f8f157c5c901d758c7a5f36416ab51", "title": "Face Recognition Using Gabor Wavelet Transform", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/d625/5a0db6f8f157c5c901d758c7a5f36416ab51.pdf"]}, {"id": "af80dfe0dacf992c49543a4bac53d1974cb70e2e", "title": "When Holistic Processing is Not Enough : Local Features Save the Day Lingyun Zhang", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/af80/dfe0dacf992c49543a4bac53d1974cb70e2e.pdf"]}, {"id": "197598af5be60fc75535c2f90849e60ac7122871", "title": "Fast multi-view face tracking with pose estimation", "year": "2002", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104830.pdf", "http://www.idiap.ch/~fleuret/papers/fleuret-geman-icpr2002.pdf", "https://infoscience.epfl.ch/record/100789/files/FaceTrackingPose.pdf", "https://infoscience.epfl.ch/record/138863/files/EUSIPCO08.pdf"]}, {"id": "e4afc03c818bc9e357ea2fb23ebf73496f1ffc81", "title": "Mafalda Libo\u0301rio Baio Morais Alves", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4af/c03c818bc9e357ea2fb23ebf73496f1ffc81.pdf"]}, {"id": "da61e3f62eda5e1cea027f73a156da36262722b0", "title": "Un nouvel ensemble de descripteurs de Fourier Clifford pour les images couleur. Les GCFD3", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fcb6/f1bac7b3c909ba6ae3a39e4ea097564064ec.pdf"]}, {"id": "6c964e59bdac6b8044993ca96b47a9a0addedfb8", "title": "First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08046.pdf"]}, {"id": "9c5c30e396b307010c374ef3730e84f6cf763205", "title": "Recent advances in visual and infrared face recognition - a review", "year": "2005", "pdf": ["http://imaging.utk.edu/publications/papers/2005/kong_cviu05.pdf", "https://www.imaging.utk.edu/publications/papers/2005/kong_cviu05.pdf"]}, {"id": "80c4f5bc43f21041343c6d7a61cdc281cb36be07", "title": "Information routing, correspondence finding, and object recognition in the brain", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/595b/e23477495891ec07fd5f5cd48b7fee5d7fe6.pdf"]}, {"id": "085913122bb75391ea8c73f2625f4679fe9cb3b1", "title": "Vector array based Multi-View Face Detection with compound exemplars", "year": "2012", "pdf": []}, {"id": "8ec7fff88b2e5b49154e6654e5e27f6678ddb7f0", "title": "On identification from periocular region utilizing SIFT and SURF", "year": "2014", "pdf": ["http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925709.pdf"]}, {"id": "7a9ef491914d515bb5570aa9b3a261d42d430b86", "title": "Excuse Me, Do I Know You From Somewhere? Unaware Facial Recognition Using Brain-Computer Interfaces", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7a9e/f491914d515bb5570aa9b3a261d42d430b86.pdf"]}, {"id": "076c97826df63f70d55ea11f0b7ae47a7ad81ad3", "title": "A Robust Face Recognition Algorithm Using Markov Stationary Features and Adjacent Pixel Intensity Difference Quantization Histogram", "year": "2011", "pdf": []}, {"id": "8028b9bc85b64f3b93d936ab2bd05ccf64a92bc3", "title": "Enhancement of face-sensitive ERPs in older adults induced by face recognition training", "year": "2018", "pdf": []}, {"id": "2c53cb4222cd9ccc868a07d494b8a4ce102658fa", "title": "Face recognition across pose: A review", "year": "2009", "pdf": ["http://maths.dur.ac.uk/users/kasper.peeters/pdf/face_recognition/Survey/Zhang09FaceRecogAcrossPoseReview.pdf", "https://research-repository.griffith.edu.au/bitstream/handle/10072/30193/60223_1.pdf;jsessionid=D7BADD83581C4220D3E57F54F5600A0F?sequence=1"]}, {"id": "bf4073f334902cd76608655b2d54a624ccdbface", "title": "Data extraction for user profile management based on behavior", "year": "2015", "pdf": []}, {"id": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.pdf"]}, {"id": "30457461333c8797457c18636732327e6dde1d04", "title": "Gender classification system for half face images using multi manifold discriminant analysis", "year": "2017", "pdf": []}, {"id": "3fbd68d1268922ee50c92b28bd23ca6669ff87e5", "title": "A shape- and texture-based enhanced Fisher classifier for face recognition", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/f563/6a8021c09870c350e7505c87625fe1681bd4.pdf"]}, {"id": "f77563386ac293620ce2b90b5d7250ab5d8f9f50", "title": "Regression-based Hypergraph Learning for Image Clustering and Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04150.pdf"]}, {"id": "d6dab84451254d7fbb5b9e1d40a7d2a92dec13b3", "title": "Enhanced Local Binary Patterns for Automatic Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03349.pdf"]}, {"id": "434300db45ea1b0b36b0c606ca728aaaed235275", "title": "The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4343/00db45ea1b0b36b0c606ca728aaaed235275.pdf"]}, {"id": "58493390be8aeeabbd974e3d81f7db49af1ceed1", "title": "Real-time eye detection using face-circle fitting and dark-pixel filtering", "year": "2004", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICME%202004/html/papers/P37261.pdf", "https://www.computer.org/csdl/proceedings/icme/2004/8603/02/01394426.pdf"]}, {"id": "3b1f8bf9e41b29d38968144ae9b2ae13a9bde731", "title": "Recognition invariance obtained by extended and invariant features", "year": "2004", "pdf": []}, {"id": "61084a25ebe736e8f6d7a6e53b2c20d9723c4608", "title": "Face recognition for web-scale datasets", "year": "2014", "pdf": ["http://briancbecker.com/files/downloads/publications/Ortiz_CVIU13.pdf", "http://crcv-web.eecs.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://crcv.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf", "http://www.enriquegortiz.com/publications/OrtizBecker_Webscale_CVIU.pdf"]}, {"id": "05f2c7cdaa237e42338e2f626af1fe79fcc4bf21", "title": "Optimized selection of benchmark test parameters for image watermark algorithms based on Taguchi methods and corresponding influence on design decisions for real-world applications", "year": "2003", "pdf": ["https://www.digimarc.com/docs/default-source/technology-resources/published-technical-papers/commercial-applications/dmrc_optimized_benchmark.pdf"]}, {"id": "449f93b4be37087236c6a13e9db4c1c323683a58", "title": "Abnormalities in early visual processes are linked to hypersociability and atypical evaluation of facial trustworthiness: An ERP study with Williams syndrome", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/449f/93b4be37087236c6a13e9db4c1c323683a58.pdf"]}, {"id": "0328b975b11fd4153010535d1a06cf618f9b0c91", "title": "Evaluating the complexity of databases for person identification and verification", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/0328/b975b11fd4153010535d1a06cf618f9b0c91.pdf"]}, {"id": "1fee632cad6a3853cc43621ba50161f5dd6263e5", "title": "Gated classifiers: Boosting under high intra-class variation", "year": "2011", "pdf": ["http://www.csc.kth.se/~osda02/files/danielssonCVPR11poster.pdf", "http://www.researchgate.net/profile/Babak_Rasolzadeh/publication/221361503_Gated_classifiers_Boosting_under_high_intra-class_variation/links/02e7e51afbefb14f8b000000.pdf"]}, {"id": "af6b14c0bf427b22baffc06a0bd515b30649d8c3", "title": "Face recognition using kernel scatter-difference-based discriminant analysis", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/af6b/14c0bf427b22baffc06a0bd515b30649d8c3.pdf"]}, {"id": "7eed1dbf1d09dd48f75ae25c5e39182afae6862f", "title": "A New Performance Evaluation Method for Face Identification - Regression Analysis of Misidentification Risk", "year": "2007", "pdf": []}, {"id": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.pdf"]}, {"id": "97e5beb344cc68fbfe19a34e061f886c962c81e4", "title": "Representing and Learning High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Park_Representing_and_Learning_CVPR_2018_paper.pdf"]}, {"id": "09718bf335b926907ded5cb4c94784fd20e5ccd8", "title": "Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble", "year": "2005", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tnn05.pdf", "http://parnec.nuaa.edu.cn/papers/journal/2005/xtan-TNN05.pdf", "http://www.researchgate.net/profile/Songcan_Chen/publication/7638460_Recognizing_partially_occluded_expression_variant_faces_from_single_training_image_per_person_with_SOM_and_soft_kappa-NN_ensemble/links/0046351406aaacc8d8000000.pdf"]}, {"id": "e9d426570413ba96abe769e8fc305d7f0cca6723", "title": "Bayesian face recognition and perceptual narrowing in face-space.", "year": "2012", "pdf": ["http://cst.dk/anders/courses/pao-balas.pdf"]}, {"id": "7bfc38e15589f9ffb471e152297f5419fdc9ba8d", "title": "Gender classification using M-estimator based radial basis function neural network", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/51171/51171.pdf"]}, {"id": "98960be5ae51d30118f091f7091299a49f2f34bb", "title": "1 GLOBAL AND FEATURE BASED GENDER CLASSIFICATION OF FACES : A COMPARISON OF HUMAN PERFORMANCE AND COMPUTATIONAL MODELS", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/9896/0be5ae51d30118f091f7091299a49f2f34bb.pdf"]}, {"id": "2fe5bea76853da079512595fb8bdd74ef4ccf12f", "title": "Face recognition using two-dimensional nonnegative principal component analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fe5/bea76853da079512595fb8bdd74ef4ccf12f.pdf"]}, {"id": "13a82da2bfa24583caf78ab1d14b5cfa4798b3b3", "title": "Robust face hallucination using quantization-adaptive dictionaries", "year": "2016", "pdf": ["https://www.um.edu.mt/__data/assets/file/0005/289445/icip_paper.pdf", "https://www.um.edu.mt/__data/assets/file/0006/289446/icip_2016.pdf"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"]}, {"id": "60cdd2ae71d39f2a8a3c6d4c22284a602428b347", "title": "Image of face captured Face Detection and localization Feature extraction Learning Classification Decision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/60cd/d2ae71d39f2a8a3c6d4c22284a602428b347.pdf"]}, {"id": "0098f42c6f24d5e6d2471c1d7d1e864ff8e83226", "title": "Review on Face Recognition across Age Progression", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0098/f42c6f24d5e6d2471c1d7d1e864ff8e83226.pdf"]}, {"id": "591db404f6d8e3f37c12752b0f9173ff1a475598", "title": "Eigentransformation-based face super-resolution in the wavelet domain", "year": "2012", "pdf": []}, {"id": "4da80ad59adbe530838b5685935b488edab07c7d", "title": "Effective Proximity Retrieval by Ordering Permutations", "year": "2008", "pdf": ["http://www.dcc.uchile.cl/~gnavarro/algoritmos/ps/tpami07.pdf", "http://www.researchgate.net/profile/Karina_Figueroa2/publication/5234381_Effective_proximity_retrieval_by_ordering_permutations/links/00463520a25f1478b5000000.pdf", "https://www.dcc.uchile.cl/~gnavarro/ps/tpami07.long.pdf", "https://www.dcc.uchile.cl/~gnavarro/ps/tpami07.pdf"]}, {"id": "7aa83aee1e8b2da7ec90c67e63161c24e85f4ba1", "title": "Face Image Classification by Pooling Raw Features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1406.6811.pdf"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"]}, {"id": "f07468f7b23a4b5740787a7d9d2c7706991b51ed", "title": "A Continuos Learning for a Face Recognition System", "year": "2011", "pdf": []}, {"id": "c45183ec95f89aff793a2629a0520006b4153d6a", "title": "Entropy-based template analysis in face biometric identification systems", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c451/83ec95f89aff793a2629a0520006b4153d6a.pdf"]}, {"id": "ccb54fc5f263a8bc2a8373839cb6855f528f10d3", "title": "A realistic virtual environment for evaluating face analysis systems under dynamic conditions", "year": "2016", "pdf": ["http://repositorio.uchile.cl/bitstream/handle/2250/138414/A-realistic-virtual-environment.pdf;jsessionid=A6322AF03A70650E441E0B4185CB41C8?sequence=1"]}, {"id": "bad65ef11c58c3660febb98abbe9f86e2b8fce11", "title": "Object Localization Based on Mutual Information in Global Structure Constraint Model", "year": "2008", "pdf": []}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"]}, {"id": "bcf52629788e210f9c87945fa9cf792609e9154a", "title": "\u00d0 \u00d7\u00fd\u00f1\u00f1\u00f1\u00f8\u00f6\u00fd \u00c9\u00f9\u00f9\u00f2\u00f8\u00f8\u00ac\u00ac\u00ac\u00f8\u00f8\u00f3\u00f2 \u00d3\u00f6 \u00dc\u00f4\u00f6\u00f6\u00d7\u00d7\u00d7\u00f3\u00f2 \u00c1\u00f2\u00fa\u00f6\u00f6\u00f6\u00f2\u00f8 \u00c0\u00f9\u00f1\u00f1\u00f2 \u00c1\u00e1\u00e1\u00f2\u00f8\u00f8\u00ac\u00ac\u00ac\u00f8\u00f8\u00f3\u00f2 \u00a3", "year": "", "pdf": ["https://pdfs.semanticscholar.org/bcf5/2629788e210f9c87945fa9cf792609e9154a.pdf"]}, {"id": "a66d99ea07f72281a6e510eb2a9fd4b0973e16d0", "title": "Object Localization Based on Global Structure Constraint Model and Optimal Algorithm", "year": "2008", "pdf": []}, {"id": "68d7be102d8b298d172d120d5a7ae1bfd5b8ffb9", "title": "(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition", "year": "2005", "pdf": []}, {"id": "15dea987f66386be14b7811f1f27784f3ed9e9c0", "title": "Face Detection with Mixtures of Boosted Discriminant Features", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/15de/a987f66386be14b7811f1f27784f3ed9e9c0.pdf"]}, {"id": "9401465784cb5107cabb87d7c2ffc0a594e1dafe", "title": "Generalized YAST algorithm for signal subspace tracking", "year": "2015", "pdf": []}, {"id": "0ba67a76c6e7d37d3fdc0017cd40a68e503168f1", "title": "Improve recognition performance by hybridizing principal component analysis (PCA) and elastic bunch graph matching (EBGM)", "year": "2014", "pdf": []}, {"id": "7d0cb85f9f63afc23ce42b92337b12ef91fc091e", "title": "Discriminative transfer learning for single-sample face recognition", "year": "2015", "pdf": ["http://hujunlin.cn/papers/DTL_ICB15.pdf", "https://pdfs.semanticscholar.org/7d0c/b85f9f63afc23ce42b92337b12ef91fc091e.pdf"]}, {"id": 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Recognition Systems", "year": "2016", "pdf": []}, {"id": "a9f15f6a6d94e5fa421e592ce1e577d1966af954", "title": "Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation", "year": "2008", "pdf": []}, {"id": "5828c50ddde3b819403ca9c447f65d0a2accaec8", "title": "Recognizing face or object from a single image: linear vs. kernel methods on 2d patterns", "year": "2006", "pdf": ["http://parnec.nuaa.edu.cn/papers/conference/2006/dqzhang-S+SSPR06.pdf"]}, {"id": "843f873c08df64431baefd79e83e4b70236427de", "title": "Exploring and Understanding the High Dimensional and Sparse Image Face Space : a Self-Organized Manifold Mapping", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/843f/873c08df64431baefd79e83e4b70236427de.pdf"]}, {"id": "ed5fdbecb5f655333b3e24d448a9665d18e6b5cd", "title": "Effects of aging on the neural correlates of successful item and source memory encoding.", "year": "2008", "pdf": 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["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"]}, {"id": "2168ec12eff5c3d1ff09d0f3c13d6df5b5061164", "title": "Face recognition with salient local gradient orientation binary patterns", "year": "2009", "pdf": ["http://www.cs.ust.hk/~achung/icip09_liao_chung.pdf", "http://www.cse.ust.hk/~achung/icip09_liao_chung.pdf"]}, {"id": "8e16ca7a91aea52788f1ed5ce12c906117a56cb4", "title": "Face hallucination based on sparse local-pixel structure", "year": "2014", "pdf": []}, {"id": "ffeff854e7fcf5af663497be00c86537f7d9ed11", "title": "Face recognition in JPEG compressed domain: a novel coefficient selection approach", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ffef/f854e7fcf5af663497be00c86537f7d9ed11.pdf"]}, {"id": "c20ac2441e6ec29ae926d3c5605b71ce10ef6dff", "title": "Heterogeneous image transformation", "year": "2013", "pdf": ["https://nannanwang.github.io/My_Papers/PRL2013.pdf"]}, {"id": "ff60f453888ac00a0e0b6f1649c1a699515a955f", "title": "Fast and Accurate Face Recognition Using Support Vector Machines", "year": "2005", "pdf": []}, {"id": "47d32615dc396dece539b664969d2e102f5b0f63", "title": "Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction", "year": "2015", "pdf": []}, {"id": "9a5e36c0f9b802cd346e3225c0b04ab9dda496d1", "title": "Evolutionary Classifier Fusion for Optimizing Face Recognition", "year": "2007", "pdf": []}, {"id": "e8a5800db4b7609e3a55ec4b904b263cd359df2e", "title": "Face Recognition using Neural Network and Eigenvalues with Distinct Block Processing", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e8a5/800db4b7609e3a55ec4b904b263cd359df2e.pdf"]}, {"id": "144523508d89f164c61924a4c4fa6946fb5545f5", "title": "A Comparison of Gabor Filter Methods for Automatic Detection of Facial Landmarks", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/1445/23508d89f164c61924a4c4fa6946fb5545f5.pdf"]}, {"id": "8009291e2f52d8bc586b5e0be9aa1b91ce12c711", "title": "A Configurable Multibiometric System for Authentication at Different Security Levels Using Mobile Devices", "year": "2016", "pdf": []}, {"id": "f59ccad6b7f76bd8cd5d6bbf867b2236c9b01e02", "title": "Comparison of three face recognition algorithms", "year": "2012", "pdf": []}, {"id": "a0b2df8f72ff672cb0760c5221657a5f48f0ec5d", "title": "Searching Image Databases Using Appearance Models", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0b2/df8f72ff672cb0760c5221657a5f48f0ec5d.pdf"]}, {"id": "4cfae149d6acd8cffc12c06ed796f1f84dce0e73", "title": "Face Recognition Based on Image Latent Semantic Analysis Model and SVM", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4cfa/e149d6acd8cffc12c06ed796f1f84dce0e73.pdf"]}, {"id": "2713423d87d011c0a5aae99bef57523769121a1d", "title": "A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2713/423d87d011c0a5aae99bef57523769121a1d.pdf"]}, {"id": "42afe5fd3f7b1d286a20e9306c6bc8624265f658", "title": "FACE DETECTION USING THE 3\u00d73 BLOCK RANK PATTERNS OF GRADIENT MAGNITUDE IMAGES", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/42af/e5fd3f7b1d286a20e9306c6bc8624265f658.pdf"]}, {"id": "4cbf873d3d359200267a3bc33d45c442061f6989", "title": "Robust FFT-Based Scale-Invariant Image Registration with Image Gradients", "year": "2010", "pdf": ["http://www.ejournal.aessangli.in/ASEEJournals/EC168.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/ieee_tpami_2010.pdf"]}, {"id": "a82b47e94a8982b9c1ca4bfab54ddeaf856d0be3", "title": "Gender Classification Using Local Directional Pattern (LDP)", "year": "2010", "pdf": []}, {"id": "2df6aa6dd2683fb35f7dcd8536d7b67fb72ede12", "title": "What drives social in-group biases in face recognition memory? ERP evidence from the own-gender bias.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2df6/aa6dd2683fb35f7dcd8536d7b67fb72ede12.pdf"]}, {"id": "27c59f06bc62ea85e828228c1bb359e06f9232d8", "title": "Face detection with boosted Gaussian features", "year": "2007", "pdf": ["http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LLU_080606122132.pdf", "https://infoscience.epfl.ch/record/87373/files/sdarticle.pdf"]}, {"id": "4a1a5316e85528f4ff7a5f76699dfa8c70f6cc5c", "title": "Face Recognition using Local Features based on Two-layer Block Model", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/4a1a/5316e85528f4ff7a5f76699dfa8c70f6cc5c.pdf"]}, {"id": "4ccae36f78c660c9fc01959e28e676142c5f8a7d", "title": "KCCA-based technique for profile face identification", "year": "2017", "pdf": []}, {"id": "4344413b7814b2ba99cc79ead2903f259e98ed4b", "title": "Modelling Uncertainty in Representation of Facial Features for Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/dc27/1b25f54e13cc38a7d11bab8f3fd6a66dfe0a.pdf"]}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.pdf"]}, {"id": "d6f49b63e4e285ff2bb3ba92e1e10287d407d6c0", "title": "Tasks determine what is learned in visual statistical learning.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d6f4/9b63e4e285ff2bb3ba92e1e10287d407d6c0.pdf"]}, {"id": "64699c4546b66323d4af7d1e44ddb5912991c00c", "title": "Design and Performance Evaluation of Robust Digital Audio Watermarking under Low Bits Rates", "year": "2015", "pdf": []}, {"id": "fa2f0577f07fdbe6076ccc6e5a9f54eab5247d53", "title": "Fast PCA-based face recognition on GPUs", "year": "2013", "pdf": []}, {"id": "749382d19bfe9fb8d0c5e94d0c9b0a63ab531cb7", "title": "A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/7493/82d19bfe9fb8d0c5e94d0c9b0a63ab531cb7.pdf"]}, {"id": "dfe97eb3304660c252c94c7eed6fc1c0970191ce", "title": "Robust Discriminant Analysis of Gabor Feature for Face Recognition", "year": "2007", "pdf": []}, {"id": "21f7980a22300983e1cb0fa02a9c300045a08740", "title": "Methodological improvement on local Gabor face recognition based on feature selection and enhanced Borda count", "year": "2011", "pdf": ["http://www.cec.uchile.cl/~clperez/papers/Methodogical%20improvement%20on%20local%20Gabor%20face%20recognition%20based%20on%20feature%20selection.pdf", "http://www.cec.uchile.cl/~clperez/papers/Methodological%20improvement%20on%20local%20Gabor%20face%20recognition%20based%20on%20feature%20selection%20and%20enhanced%20Borda%20count.pdf", "https://pdfs.semanticscholar.org/21f7/980a22300983e1cb0fa02a9c300045a08740.pdf"]}, {"id": "f209ac3162ad9443f80dac257427f60913be78df", "title": "Dual LDA - an effective feature space reduction method for face recognition", "year": "2005", "pdf": []}, {"id": "003f161768db4b70358971d40eb8e1ad535f001f", "title": "Face recognition from single sample based on human face perception", "year": "2009", "pdf": []}, {"id": "dc4289ca959b36f745d8e4b9383b673e2b95db47", "title": "Infants\u2019 experience-dependent processing of male and female faces: Insights from eye tracking and event-related potentials", "year": "2014", "pdf": ["https://dash.harvard.edu/bitstream/handle/1/27002084/nihms-538412.pdf?isAllowed=y&sequence=1"]}, {"id": "25fce91ce1b974865506c14d2e4714d8db2672d1", "title": "Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation", "year": "2012", "pdf": ["http://people.csail.mit.edu/hmobahi/pubs/faces_pami2012.pdf", "http://perception.csl.illinois.edu/recognition/Files/faces_system.pdf", "http://www.columbia.edu/~jw2966/papers/WWGZMM12-PAMI.pdf", "http://yima.csl.illinois.edu/psfile/PAMI-facesystem.pdf"]}, {"id": "0f00a04c4a8c92e070b50ab411df4cd31d2cbe97", "title": "Face recognition with one training image per person", "year": "2002", "pdf": ["http://cs.nju.edu.cn/wujx/paper/patrec2143.pdf", "http://parnec.nuaa.edu.cn/papers/journal/2004/schen-PRL04.pdf", "http://parnec.nuaa.edu.cn/zhangdq/prl04.pdf"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "4d4be112c180d5a4484fe6e17e506ad6e1853f08", "title": "Improving long range and high magnification face recognition: Database acquisition, evaluation, and enhancement", "year": "2008", "pdf": ["http://imaging.utk.edu/publications/papers/2007/CVIU_sdarticle_yy.pdf", "https://www.imaging.utk.edu/publications/papers/2007/CVIU_sdarticle_yy.pdf"]}, {"id": "711f6446d0b3897b892c5c19c7d88fe50424eef9", "title": "High and low performers differ in the use of shape information for face recognition", "year": "2013", "pdf": []}, {"id": "3c47022955c3274250630b042b53d3de2df8eeda", "title": "Discriminant analysis with tensor representation", "year": "2005", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2005/01467312.pdf"]}, {"id": "36018404263b9bb44d1fddaddd9ee9af9d46e560", "title": "OCCLUDED FACE RECOGNITION BY USING GABOR FEATURES", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/3601/8404263b9bb44d1fddaddd9ee9af9d46e560.pdf"]}, {"id": "25afa24d85e693351bad795ee1c3e801d10c4a15", "title": "Anisotropic Gaussian Filters for Face Class Modeling August 31 , 2006", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/25af/a24d85e693351bad795ee1c3e801d10c4a15.pdf"]}, {"id": "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "title": "Review on the effects of age, gender, and race demographics on automatic face recognition", "year": "2017", "pdf": []}, {"id": "0c4a139bb87c6743c7905b29a3cfec27a5130652", "title": "The FERET Verification Testing Protocol for Face Recognition Algorithms", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/8d2a/1c768fce6f71584dd993fb97e7b6419aaf60.pdf"]}, {"id": "018eaad53804a88d894a8370a94bb6db31a30ed4", "title": "ANN based human facial expression recognition in color images", "year": "2014", "pdf": []}, {"id": "1a66f37f37e4fbf9a8e657853933539256bbda88", "title": "Spectral Clustering by Joint Spectral Embedding and Spectral Rotation.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a66/f37f37e4fbf9a8e657853933539256bbda88.pdf"]}, {"id": "53d8946fd7dcc9e35ddf92096b372c8988c0cce9", "title": "Wavelet packet analysis for face recognition", "year": "2000", "pdf": ["http://www.csd.uoc.gr/~tziritas/papers/ivc.pdf"]}, {"id": "ac6f23544161c723567812f96a4cd71ed47041fc", "title": "On solving the face recognition problem with one training sample per subject", "year": "2006", "pdf": ["http://www.comm.toronto.edu/~kostas/Publications2008/pub/90.pdf", "https://www.comm.utoronto.ca/~kostas/Publications2008/pub/90.pdf"]}, {"id": "ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3", "title": "Face Recognition Techniques : A Review", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ba7c/01e1432bffc2fcde824d0b0ebd25ad7238c3.pdf"]}, {"id": "d944ff789af84cecc0a913da964e017408687d62", "title": "Image Parsing: Segmentation, Detection, and Recognition", "year": "2003", "pdf": []}, {"id": "adefabe194863b4f764ec982e3120554165c841c", "title": "Radius based Block Local Binary Pattern on T-Zone Face Area for Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/adef/abe194863b4f764ec982e3120554165c841c.pdf"]}, {"id": "3c4014886b3aa01024e3a1e81823a95a57fcf215", "title": "Functional Alterations in Order Short-Term Memory Networks in Adults With Dyslexia.", "year": "2015", "pdf": []}, {"id": "a7f26379346be7c7d4b5511bad7de534c689273e", "title": "Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual Training", "year": "2017", "pdf": []}, {"id": "fed593e37a3f06619e5443c4124db0620d064c51", "title": "2D facial landmark model design by combining key points and inserted points", "year": "2015", "pdf": ["http://www.yongxu.org/paper/2D%20facial%20landmark%20model%20design%20by%20combining%20key%20points%20and%20inserted%20points.pdf"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", "http://research.gold.ac.uk/18691/1/egpaper_final_2%5B1%5D.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf"]}, {"id": "a3dc109b1dff3846f5a2cc1fe2448230a76ad83f", "title": "ACTIVE APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a3dc/109b1dff3846f5a2cc1fe2448230a76ad83f.pdf"]}, {"id": "fb1919aeaa26f2c559268c52deb68463ee58abee", "title": "Local matching Gabor entropy weighted face recognition", "year": "2011", "pdf": []}, {"id": "9f5fbc661ce13d1f946f5d3c5b194aab71e0511b", "title": "Combining local similarity measures: summing, voting, and weighted voting", "year": "2005", "pdf": []}, {"id": "783f22f9ad77e437438f24f2d0a7c1397468ec88", "title": "A New Quadratic Classifier Applied to Biometric Recognition", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/783f/22f9ad77e437438f24f2d0a7c1397468ec88.pdf"]}, {"id": "309e17e6223e13b1f76b5b0eaa123b96ef22f51b", "title": "Face recognition based on a 3D morphable model", "year": "2006", "pdf": ["http://mi.informatik.uni-siegen.de/publications/fg06_blanz.pdf", "https://static.aminer.org/pdf/PDF/000/337/771/image_synthesis_and_face_recognition_based_on_d_face_model.pdf"]}, {"id": "420921277310ea97a819e676f626dedec734d4c7", "title": "On the Dimensionality of Face Space", "year": "2007", "pdf": ["http://physiology.med.cornell.edu/faculty/nirenberg/lab/marsha/OnDimensionalityOfFaceSpace.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/tychiu/200803111733/on_the_dimensionality_of_face_space.pdf", "http://www.brown.edu/academics/applied-mathematics/sites/brown.edu.academics.applied-mathematics/files/uploads/On%20the%20Dimensionality%20of%20Face%20Space.pdf"]}, {"id": "d5e1173dcb2a51b483f86694889b015d55094634", "title": "PCA and LDA in DCT domain", "year": "2005", "pdf": ["https://www.researchgate.net/profile/Shiqian_Wu/publication/222879673_PCA_and_LDA_in_DCT_domain/links/09e415044106815b65000000.pdf"]}, {"id": "b1898f8fe31147779a841f56795a776db6699efd", "title": "Automatic Detection of the Optimal Acceptance Threshold in a Face Verification System", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/b189/8f8fe31147779a841f56795a776db6699efd.pdf"]}, 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["https://arxiv.org/pdf/1511.09033.pdf"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"]}, {"id": "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "title": "Cross Audio-Visual Recognition in the Wild Using Deep Learning", "year": "2017", "pdf": []}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"]}, {"id": "3e687d5ace90c407186602de1a7727167461194a", "title": "Photo Tagging by Collection-Aware People Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3e68/7d5ace90c407186602de1a7727167461194a.pdf"]}, {"id": "a38dd439209b0913b14b1c3c71143457d8cf9b78", "title": "Face recognition in unconstrained environments", "year": "2015", "pdf": []}, {"id": "c94c2cf52fef0503c09268c7d1faee60465ee08e", "title": "BenchIP: Benchmarking Intelligence Processors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08315.pdf"]}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_11.pdf"]}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"]}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"]}, {"id": "539ffd51f18404e1ef83371488cf5a27cd16d064", "title": "Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model", "year": "2015", "pdf": []}, {"id": "3e18b439a6fff09a0e4c245eb1298531cc766a72", "title": "Semi-automatic Face Image Finding Method , Which Uses the 3 D Model of the Head for Recognising an Unknown Face", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e18/b439a6fff09a0e4c245eb1298531cc766a72.pdf"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08976.pdf"]}, {"id": "b941d4a85be783a6883b7d41c1afa7a9db451831", "title": "Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning 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"566038a3c2867894a08125efe41ef0a40824a090", "title": "Face recognition and gender classification in personal memories", "year": "2009", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202009/pdfs/0001945.pdf", "http://mirlab.org/conference_papers/international_conference/icassp%202009/pdfs/0001945.pdf"]}, {"id": "7813d405450013bbdb0b3a917319d5964a89484a", "title": "From Affine Rank Minimization Solution to Sparse Modeling", "year": "2017", "pdf": []}, {"id": "edef98d2b021464576d8d28690d29f5431fd5828", "title": "Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02438.pdf"]}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"]}, {"id": "ccb54fc5f263a8bc2a8373839cb6855f528f10d3", "title": "A realistic virtual environment for evaluating face analysis systems under dynamic conditions", "year": "2016", "pdf": ["http://repositorio.uchile.cl/bitstream/handle/2250/138414/A-realistic-virtual-environment.pdf;jsessionid=A6322AF03A70650E441E0B4185CB41C8?sequence=1"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"]}, {"id": "cb522b2e16b11dde48203bef97131ddca3cdaebd", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": []}, {"id": "c5c56e9c884ac4070880ac481909bb6b621d2a3f", "title": "Random ensemble metrics for object recognition", "year": "2011", "pdf": []}, {"id": "845f45f8412905137bf4e46a0d434f5856cd3aec", "title": "The Spyware Used in Intimate Partner Violence", "year": "2018", "pdf": ["https://rist.tech.cornell.edu/papers/spyware.pdf", 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["https://www.iiitd.edu.in/~richa/papers/BTAS10-Sketch.pdf"]}, {"id": "39ed31ced75e6151dde41944a47b4bdf324f922b", "title": "Pose-Guided Photorealistic Face Rotation", "year": "", "pdf": ["https://pdfs.semanticscholar.org/39ed/31ced75e6151dde41944a47b4bdf324f922b.pdf"]}, {"id": "fea83550a21f4b41057b031ac338170bacda8805", "title": "Learning a Metric Embedding for Face Recognition using the Multibatch Method", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.07270.pdf"]}, {"id": "518439ba2895c84ba686db5b83674c440e637c0b", "title": "The Price of Fair PCA: One Extra Dimension", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00103.pdf"]}, {"id": "2a6bba2e81d5fb3c0fd0e6b757cf50ba7bf8e924", "title": "Compare and Contrast : Learning Prominent Differences in Relative Attributes by", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2a6b/ba2e81d5fb3c0fd0e6b757cf50ba7bf8e924.pdf"]}, {"id": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"]}, {"id": "88e2efab01e883e037a416c63a03075d66625c26", "title": "Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"]}, {"id": "8035e8796ed5bdd44477c523cd6b03f9adfa2d8e", "title": "Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning", "year": "2018", "pdf": []}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"]}, {"id": "ac12a36330248eaddadd3e6e75b909e023c7674a", "title": "Towards generic image classification using tree-based learning: An extensive empirical study", "year": "2016", "pdf": ["https://orbi.uliege.be/bitstream/2268/191267/1/maree-prletters2016_accepted.pdf"]}, {"id": "f95ba7673789d1b4118d30e360a5a37fd75d3961", "title": "Face Recognition using Modified Generalized Hough Transform and Gradient Distance Descriptor", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/f95b/a7673789d1b4118d30e360a5a37fd75d3961.pdf"]}, 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["http://biometrics.cse.msu.edu/Publications/Face/Mazeetal_IARPAJanusBenchmarkCFaceDatasetAndProtocol_ICB2018.pdf"]}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", "https://arxiv.org/pdf/1610.04823v1.pdf"]}, {"id": "f355e54ca94a2d8bbc598e06e414a876eb62ef99", "title": "A survey on heterogeneous face recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1409.5114.pdf"]}, {"id": "5c19c4c6a663fe185a739a5f50cef6a12a4635a1", "title": "Lucas-Kanade based entropy congealing for joint face alignment", "year": "2012", "pdf": []}, {"id": "91b1a59b9e0e7f4db0828bf36654b84ba53b0557", "title": "Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition", "year": "2015", "pdf": ["http://www.kresttechnology.com/krest-academic-projects/krest-mtech-projects/ECE/MTech%20DSP%202015-16/MTech%20DSP%20BasePaper%202015-16/50.pdf"]}, {"id": "2f59f28a1ca3130d413e8e8b59fb30d50ac020e2", "title": "Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information", "year": "2014", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_ICPR2014.pdf"]}, {"id": "b7b461f82c911f2596b310e2b18dd0da1d5d4491", "title": "K-mappings and Regression trees", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p2961-wang.pdf"]}, {"id": "5d5cd6fa5c41eb9d3d2bab3359b3e5eb60ae194e", "title": "Face Recognition Algorithms", "year": "2010", "pdf": 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"710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"]}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"]}, {"id": "34b3b14b4b7bfd149a0bd63749f416e1f2fc0c4c", "title": "The AXES submissions at TrecVid 2013", "year": "2013", "pdf": []}, {"id": "fdbe7c520568d9a32048270d2c87113c635dc7e6", "title": "Live Stream Oriented Age and Gender Estimation using Boosted LBP Histograms Comparisons", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fdbe/7c520568d9a32048270d2c87113c635dc7e6.pdf"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"]}, {"id": 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"title": "Face Recognition and Verification in Unconstrained Environments by Huimin Guo", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ff39/8e7b6584d9a692e70c2170b4eecaddd78357.pdf"]}, {"id": "ec40df721a80c62d4a768fe29b58d86b1a07f435", "title": "Local robust sparse representation for face recognition with single sample per person", "year": "2018", "pdf": []}, {"id": "c03f48e211ac81c3867c0e787bea3192fcfe323e", "title": "Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c03f/48e211ac81c3867c0e787bea3192fcfe323e.pdf"]}, {"id": "03d9ccce3e1b4d42d234dba1856a9e1b28977640", "title": "Facial Affect \u201cIn-the-Wild\u201d: A Survey and a New Database", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_1.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/egpaper_final_2.pdf", 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"http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_Locally-Adaptive_Decision_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~chang87/papers/cvpr_2013.pdf"]}, {"id": "4526992d4de4da2c5fae7a5ceaad6b65441adf9d", "title": "System for Medical Mask Detection in the Operating Room Through Facial Attributes", "year": "2015", "pdf": ["http://persoal.citius.usc.es/manuel.mucientes/pubs/Nieto-Rodriguez15_ibpria.pdf"]}, {"id": "2563fc1797f187e2f6f9d9f4387d4bcadd3fbd02", "title": "Just Noticeable Differences in Visual Attributes", "year": "2015", "pdf": ["http://aronyu.io/vision/papers/iccv15/aron-iccv15.pdf", "http://openaccess.thecvf.com/content_iccv_2015/papers/Yu_Just_Noticeable_Differences_ICCV_2015_paper.pdf", "http://oui.csail.mit.edu/camera_readys/36.pdf", "http://www.cs.utexas.edu/~grauman/papers/yu-iccv2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yu_Just_Noticeable_Differences_ICCV_2015_paper.pdf"]}, {"id": 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"2faa09413162b0a7629db93fbb27eda5aeac54ca", "title": "Quantifying how lighting and focus affect face recognition performance", "year": "2010", "pdf": ["http://www.cs.colostate.edu/~draper/papers/beveridge_cvprw10.pdf", "http://www.cs.colostate.edu/~vision/publications/beveridge_cvprw10.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=903086", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=903086"]}, {"id": "fdb33141005ca1b208a725796732ab10a9c37d75", "title": "A connectionist computational method for face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/edbd/c2920441bd751f57bea87a9c0fc283874b50.pdf"]}, {"id": "40b10e330a5511a6a45f42c8b86da222504c717f", "title": "Implementing the Viola-Jones Face Detection Algorithm", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/40b1/0e330a5511a6a45f42c8b86da222504c717f.pdf"]}, {"id": "23120f9b39e59bbac4438bf4a8a7889431ae8adb", "title": "Aalborg Universitet Improved RGB-D-T based Face Recognition", 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Using Query Expansion : How Friends Help To Find People", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/6f98/3e8f26066f2ea486f6653b87154360d948ca.pdf"]}, {"id": "66a2c229ac82e38f1b7c77a786d8cf0d7e369598", "title": "A Probabilistic Adaptive Search System for Exploring the Face Space", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08524.pdf"]}, {"id": "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "title": "Facing scalability: Naming faces in an online social network", "year": "2012", "pdf": []}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"]}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09018.pdf"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"]}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"]}, {"id": "040dc119d5ca9ea3d5fc39953a91ec507ed8cc5d", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"]}, {"id": "307a810d1bf6f747b1bd697a8a642afbd649613d", "title": "An affordable contactless security system access for restricted area", "year": "2016", "pdf": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "year": "2016", "pdf": 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["https://pdfs.semanticscholar.org/610a/4451423ad7f82916c736cd8adb86a5a64c59.pdf"]}, {"id": "1d729693a888a460ee855040f62bdde39ae273af", "title": "Photorealistic Face De-Identification by Aggregating Donors' Face Components", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9da1/91858f65fd99c9b204a6f68916711d4bd51b.pdf"]}, {"id": "70f189798c8b9f2b31c8b5566a5cf3107050b349", "title": "The challenge of face recognition from digital point-and-shoot cameras", "year": "2013", "pdf": ["http://biometrics.nist.gov/cs_links/face/PaSC/pasc2013_NISTIR.pdf", "http://www.cs.colostate.edu/~draper/papers/beveridge_btas13.pdf", "http://www.cs.colostate.edu/~vision/pasc/docs/pasc2013_NISTIR_061013.pdf", "http://www.cs.colostate.edu/~vision/publications/pasc2013_NISTIR_061013.pdf", "http://www3.nd.edu/~kwb/BeveridgeEtAlBTAS_2013.pdf", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=913139", "https://www3.nd.edu/~kwb/Beveridge_EtAl_BTAS_2013.pdf"]}, {"id": 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"title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"]}, {"id": "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "title": "Kernel discriminant transformation for image set-based face recognition", "year": "2011", "pdf": ["http://www.csie.kuas.edu.tw/~jcchen/pdf/Kernel%20discriminant%20transformation%20for%20image%20set-based%20face%20recognition.pdf"]}, {"id": "3a846704ef4792dd329a5c7a2cb8b330ab6b8b4e", "title": "FACE-GRAB: Face recognition with General Region Assigned to Binary operator", "year": "2010", "pdf": ["http://vast.uccs.edu/~tboult/PAPERS/Sapkota-et-al-FACEGRAB-IEEE-Bioworkshop-2010.pdf", "http://www.vast.uccs.edu/~tboult/PAPERS/Sapkota-et-al-FACEGRAB-IEEE-Bioworkshop-2010.pdf", "http://www.wjscheirer.com/papers/wjs_cswb2010_grab.pdf"]}, {"id": "be4faea0971ef74096ec9800750648b7601dda65", "title": "Feature Analysis of Unsupervised Learning for Multi-task Classification Using Convolutional Neural Network", "year": "2017", "pdf": []}, {"id": "d03e4e938bcbc25aa0feb83d8a0830f9cd3eb3ea", "title": "Face Recognition with Patterns of Oriented Edge Magnitudes", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/d03e/4e938bcbc25aa0feb83d8a0830f9cd3eb3ea.pdf"]}, {"id": "a92c207031b0778572bf41803dba1a21076e128b", "title": "Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques", "year": "2018", "pdf": []}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.pdf"]}, {"id": "38f1fac3ed0fd054e009515e7bbc72cdd4cf801a", "title": "Finding Person Relations in Image Data of the Internet Archive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"]}, {"id": "3ede3ed28329bf48fbd06438a69c4f855bef003f", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"]}, {"id": "28b9d92baea72ec665c54d9d32743cf7bc0912a7", "title": "Parametric temporal alignment for the detection of facial action temporal segments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a7f8/b6bf6aa7a12773ad9bcf1d040d4d74d12493.pdf"]}, {"id": "d59404354f84ad98fa809fd1295608bf3d658bdc", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"]}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"]}, {"id": "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "title": "Robust Face Recognition via Multimodal Deep Face Representation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00244.pdf"]}, {"id": "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "title": "Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c95/1714996c573b00e63878acdc48cdc4ddc183.pdf"]}, {"id": "571b83f7fc01163383e6ca6a9791aea79cafa7dd", "title": "SeqFace: Make full use of sequence information for face recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06524.pdf"]}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"]}, {"id": "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "title": "Local Novelty Detection in Multi-class Recognition Problems", "year": "2015", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Bodesheim15:LND", "http://www.researchgate.net/profile/Paul_Bodesheim/publication/269314560_Local_Novelty_Detection_in_Multi-class_Recognition_Problems/links/5486c2420cf289302e2c35eb.pdf"]}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"]}, {"id": "25127c2d9f14d36f03d200a65de8446f6a0e3bd6", "title": "EVALUATING THE PERFORMANCE OF DEEP SUPERVISED AUTO ENCODER IN SINGLE SAMPLE FACE RECOGNITION PROBLEM USING KULLBACK-LEIBLER DIVERGENCE SPARSITY REGULARIZER", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2512/7c2d9f14d36f03d200a65de8446f6a0e3bd6.pdf"]}, {"id": "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "title": "A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations", "year": "2015", "pdf": []}, {"id": "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "title": "McGan: Mean and Covariance Feature Matching GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08398.pdf"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"]}, {"id": "458677de7910a5455283a2be99f776a834449f61", "title": "Face Image Retrieval Using Facial Attributes By K-Means", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4586/77de7910a5455283a2be99f776a834449f61.pdf"]}, {"id": "c3285a1d6ec6972156fea9e6dc9a8d88cd001617", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05083.pdf"]}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"]}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"]}, {"id": "76cd5e43df44e389483f23cb578a9015d1483d70", "title": "Face Verification from Depth using Privileged Information", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/76cd/5e43df44e389483f23cb578a9015d1483d70.pdf"]}, {"id": "8e94ed0d7606408a0833e69c3185d6dcbe22bbbe", "title": "For your eyes only", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_wacv2012_eyes.pdf"]}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"]}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"]}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"]}, {"id": "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "title": "Understanding Kin Relationships in a Photo", "year": "2012", "pdf": ["http://www1.ece.neu.edu/~yunfu/papers/Kinship-TMM.pdf"]}, {"id": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"]}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"]}, {"id": "59bfeac0635d3f1f4891106ae0262b81841b06e4", "title": "Face Verification Using the LARK Face Representation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/59bf/eac0635d3f1f4891106ae0262b81841b06e4.pdf"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"]}, {"id": "814b05113ba0397d236736f94c01e85bb034c833", "title": "Local receptive field constrained deep networks", "year": "2016", "pdf": ["http://www.cs.nott.ac.uk/~psxdmt/turcsany16_lrfdnn_infsci.pdf"]}, {"id": "b7f7a4df251ff26aca83d66d6b479f1dc6cd1085", "title": "Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b7f7/a4df251ff26aca83d66d6b479f1dc6cd1085.pdf"]}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"]}, {"id": "2004afb2276a169cdb1f33b2610c5218a1e47332", "title": "Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2004/afb2276a169cdb1f33b2610c5218a1e47332.pdf"]}, {"id": "198b6beb53e0e61357825d57938719f614685f75", "title": "Vaulted Verification : A Scheme for Revocable Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/198b/6beb53e0e61357825d57938719f614685f75.pdf"]}, {"id": "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "title": "Robust domain adaptation image classification via sparse and low rank representation", "year": "2015", "pdf": []}, {"id": "153f5ad54dd101f7f9c2ae17e96c69fe84aa9de4", "title": "Overview of algorithms for face detection and tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/153f/5ad54dd101f7f9c2ae17e96c69fe84aa9de4.pdf"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"]}, {"id": "1742e6c347037d5d4ccbdf5c7a27dfbf0afedb91", "title": "A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1309.6487.pdf"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klareetal_UnconstrainedFaceDetectionRecognitionJanus_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_089.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_089_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Klare_Pushing_the_Frontiers_2015_CVPR_paper.pdf"]}, {"id": "5157dde17a69f12c51186ffc20a0a6c6847f1a29", "title": "Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5157/dde17a69f12c51186ffc20a0a6c6847f1a29.pdf"]}, {"id": "eb526174fa071345ff7b1fad1fad240cd943a6d7", "title": "Deeply vulnerable: a study of the robustness of face recognition to presentation attacks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eb52/6174fa071345ff7b1fad1fad240cd943a6d7.pdf"]}, {"id": "d1a43737ca8be02d65684cf64ab2331f66947207", "title": "IJB \u2013 S : IARPA Janus Surveillance Video Benchmark \u2217", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d1a4/3737ca8be02d65684cf64ab2331f66947207.pdf"]}, {"id": "5028c0decfc8dd623c50b102424b93a8e9f2e390", "title": "REVISITING CLASSIFIER TWO-SAMPLE TESTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5028/c0decfc8dd623c50b102424b93a8e9f2e390.pdf"]}, {"id": "424259e9e917c037208125ccc1a02f8276afb667", "title": "Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.06433.pdf"]}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": []}, {"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": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"]}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "year": "2017", "pdf": []}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"]}, {"id": 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Representation for Heterogeneous Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.00488.pdf"]}, {"id": "833f6ab858f26b848f0d747de502127406f06417", "title": "Learning weighted similarity measurements for unconstrained face recognition", "year": "2009", "pdf": ["http://mediatum.ub.tum.de/doc/980054/157447.pdf"]}, {"id": "0857281a3b6a5faba1405e2c11f4e17191d3824d", "title": "Face recognition via edge-based Gabor feature representation for plastic surgery-altered images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0857/281a3b6a5faba1405e2c11f4e17191d3824d.pdf"]}, {"id": "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "title": "Supervised Congealing for Simultaneous Face Normalization and Eye Localization", "year": "2009", "pdf": []}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", "year": "2014", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/ReferenceFaceGraphforFaceRecognition14.pdf", "http://www.cs.ucr.edu/~mkafai/papers/Paper_tifs2014.pdf", "http://www.ee.ucr.edu/~lan/papers/AnTIFS.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"]}, {"id": "27a0a7837f9114143717fc63294a6500565294c2", "title": "Face Recognition in Unconstrained Environments : A Comparative Study", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/27a0/a7837f9114143717fc63294a6500565294c2.pdf"]}, 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"title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"]}, {"id": "a74251efa970b92925b89eeef50a5e37d9281ad0", "title": "Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization", "year": "2011", "pdf": ["http://face.cs.kit.edu/befit/workshop2011/pdf/slides/martin_koestinger-slides.pdf", "http://lrs.icg.tugraz.at/pubs/koestinger_befit_11.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/koestinger_befit_11.pdf"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": []}, {"id": "ef032afa4bdb18b328ffcc60e2dc5229cc1939bc", "title": "Attribute-enhanced metric learning for face retrieval", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef03/2afa4bdb18b328ffcc60e2dc5229cc1939bc.pdf"]}, {"id": 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["https://arxiv.org/pdf/1810.03716.pdf"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"]}, {"id": "9b1a70d6771547cbcf6ba646f8775614c0162aca", "title": "Combining feature extraction and expansion to improve classification based similarity learning", "year": "2017", "pdf": []}, {"id": "43aa40eaa59244c233f83d81f86e12eba8d74b59", "title": "Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU", "year": "2014", "pdf": ["https://udrc.eng.ed.ac.uk/sites/udrc.eng.ed.ac.uk/files/publications/Pose_invariantPRL2014_kittler.pdf"]}, {"id": "67c703a864aab47eba80b94d1935e6d244e00bcb", "title": "Face Retrieval Based On Local Binary Pattern and Its Variants : A Comprehensive Study", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/67c7/03a864aab47eba80b94d1935e6d244e00bcb.pdf"]}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": []}, {"id": "6a16b91b2db0a3164f62bfd956530a4206b23fea", "title": "A Method for Real-Time Eye Blink Detection and Its Application", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6a16/b91b2db0a3164f62bfd956530a4206b23fea.pdf"]}, {"id": "90fb58eeb32f15f795030c112f5a9b1655ba3624", "title": "OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 FACE AND IRIS RECOGNITION IN A VIDEO SEQUENCE USING DBPNN AND ADAPTIVE HAMMING DISTANCE", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/90fb/58eeb32f15f795030c112f5a9b1655ba3624.pdf"]}, {"id": "5da740682f080a70a30dc46b0fc66616884463ec", "title": "Real-Time Head Pose Estimation Using Multi-variate RVM on Faces in the Wild", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5da7/40682f080a70a30dc46b0fc66616884463ec.pdf"]}, {"id": "3046baea53360a8c5653f09f0a31581da384202e", "title": "Deformable Face Alignment via Local Measurements and Global Constraints", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3046/baea53360a8c5653f09f0a31581da384202e.pdf"]}, {"id": "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "title": "The One-Shot similarity kernel", "year": "2009", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/osskernel.pdf"]}, {"id": "492f3def325296164cd32b80d19a591b72b480cd", "title": "Metric Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/492f/3def325296164cd32b80d19a591b72b480cd.pdf"]}, {"id": "17aa78bd4331ef490f24bdd4d4cd21d22a18c09c", "title": "Building high-level features using large scale unsupervised learning", "year": "2012", "pdf": ["https://arxiv.org/pdf/1112.6209.pdf"]}, {"id": "eac6aee477446a67d491ef7c95abb21867cf71fc", "title": "A 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"http://www.chennaisunday.com/IEEE%202013%20Java%20Basepaper/Scalable%20Face%20Image%20Retrieval%20using%20Attribute-Enhanced%20Sparse%20Codewords.pdf", "http://www.csie.ntu.edu.tw/~winston/papers/chen12scalable.pdf", "http://www.leonsoftsolutions.com/ieeepapers/imageprocessing/imgpro16.pdf"]}, {"id": "3dda181be266950ba1280b61eb63ac11777029f9", "title": "When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.09757.pdf"]}, {"id": "d2baa43471d959075fc4c93485643cbd009797fd", "title": "Low-Power Convolutional Neural Network Processor for a Face-Recognition System", "year": "2017", "pdf": []}, {"id": "13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"]}, {"id": 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["http://www2.ece.ohio-state.edu/~aleix/PR12.pdf"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"]}, {"id": "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "title": "Robust Face Recognition with Structural Binary Gradient Patterns", "year": "2017", "pdf": ["https://arxiv.org/pdf/1506.00481.pdf"]}, {"id": "1d776bfe627f1a051099997114ba04678c45f0f5", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"]}, {"id": "51348e24d2199b06273e7b65ae5f3fc764a2efc7", "title": "Scalable $k$-NN graph construction", "year": "2013", "pdf": ["https://arxiv.org/pdf/1307.7852.pdf"]}, {"id": "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "title": "cient Recurrent Residual Networks Improved by Feature Transfer MSc Thesis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a4a0/b5f08198f6d7ea2d1e81bd97fea21afe3fc3.pdf"]}, {"id": "a98316980b126f90514f33214dde51813693fe0d", "title": "Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01887.pdf"]}, {"id": "c3fb2399eb4bcec22723715556e31c44d086e054", "title": "Face recognition based on SIGMA sets of image features", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p499-srinivasan.pdf"]}, {"id": "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "title": "On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition", "year": "2014", "pdf": ["http://epubs.surrey.ac.uk/812523/1/yunlian_TIFS2014.pdf"]}, {"id": "7a85b3ab0efb6b6fcb034ce13145156ee9d10598", "title": "Inter-image outliers and their application to image classification", "year": "2010", "pdf": ["https://research-repository.griffith.edu.au/bitstream/handle/10072/34436/64724_2.pdf?isAllowed=y&sequence=1"]}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"]}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": []}, {"id": "5fff61302adc65d554d5db3722b8a604e62a8377", "title": "Additive Margin Softmax for Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05599.pdf"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": []}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"]}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"]}, {"id": "765be0c44a67e41e0f8f0b5d8a3af0ff40a00c7d", "title": "Cross-Generating GAN for Facial Identity Preserving", "year": "2018", "pdf": []}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": []}, {"id": "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "title": "The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics", "year": "2018", "pdf": ["https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2018/2018_samartzidis_the_dark_side_of_the_face_exploring_the_ultraviolet_spectrum_for_face_biometrics.pdf"]}, {"id": "26727dc7347e3338d22e8cf6092e3a3c7568d763", "title": "Discriminative low-rank metric learning for face recognition", "year": "2015", "pdf": []}, {"id": "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "title": "A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Tapabrata_Chakraborti/publication/262340257_A_novel_binary_adaptive_weight_GSA_based_feature_selection_for_face_recognition_using_local_gradient_patterns_modified_census_transform_and_local_binary_patterns/links/54bf8c600cf2f6bf4e04fab5.pdf"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"]}, {"id": "fcf8bb1bf2b7e3f71fb337ca3fcf3d9cf18daa46", "title": "Feature Selection via Sparse Approximation for Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1102.2748.pdf"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"]}, {"id": "5a8f96f6906af8fbf73810b88c68b84a31555f60", "title": "Iterative Grassmannian Optimization for Robust Image Alignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1306.0404.pdf"]}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": []}, {"id": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Sparsely%20Encoded%20Local%20Descriptor%20for%20Face%20Verification_NECO2015.pdf", "https://pdfs.semanticscholar.org/4047/76aa18031828f3d5dbceed39907f038a47fe.pdf"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"]}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": []}, {"id": "32743e72cdb481b7a30a3d81a96569dcbea4e409", "title": "Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00361.pdf"]}, {"id": "a9af0dc1e7a724464d4b9d174c9cf2441e34d487", "title": "Gabor-scale binary pattern for face recognition", "year": "2016", "pdf": []}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.pdf"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"]}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"]}, {"id": "2fce767ad830e0203d62ce30bbe75213b959d19c", "title": "Histogram of Log-Gabor Magnitude Patterns for face recognition", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p519-yi.pdf"]}, {"id": "1b27ca161d2e1d4dd7d22b1247acee5c53db5104", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"]}, {"id": "62c435bc714f13a373926e3b1914786592ed1fef", "title": "Classification Signboard Detection Face Detection Animal Detection Texture Detection GPS + IMU Depth Localization Module Central Control Speech", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62c4/35bc714f13a373926e3b1914786592ed1fef.pdf"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"]}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"]}, {"id": "eb32aa2988fdfdc8656f9f31b35ed4d52110b039", "title": "Constrained Energy Minimization for Matching-Based Image Recognition", "year": "2010", "pdf": ["http://www.quaero.org/media/files/bibliographie/gass.pdf", "http://www.researchgate.net/profile/Philippe_Dreuw/publication/220929883_Constrained_Energy_Minimization_for_Matching-Based_Image_Recognition/links/02bfe50ebd7d87d3ea000000.pdf", "https://www-i6.informatik.rwth-aachen.de/publications/download/664/Gass-ICPR-2010.pdf"]}, {"id": "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "title": "Optimized projection for Collaborative Representation based Classification and its applications to face recognition", "year": "2016", "pdf": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "title": "Pose Normalization for Local Appearance-Based Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6b64/93551017819a3d1f12bbf922a8a8c8cc2a03.pdf"]}, {"id": "195b61470720c7faa523e10e68d0c8d8f27d7c7a", "title": "Principal regression analysis", "year": "2011", "pdf": []}, {"id": "0c069a870367b54dd06d0da63b1e3a900a257298", "title": "Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs", "year": "2011", "pdf": ["https://arxiv.org/pdf/1107.3823.pdf"]}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": []}, {"id": "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "title": "Face Recognition Based on Densely Connected Convolutional Networks", "year": "2018", "pdf": []}, {"id": "fed8cc533037d7d925df572a440fd89f34d9c1fd", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"]}, {"id": "36c5421d477697a8692fe6a51ce62473e690c62f", "title": "Group Affect Prediction Using Emotion Heatmaps and Scene Information", "year": "2017", "pdf": []}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"]}, {"id": "77c7d8012fe4179a814c1241a37a2256361bc1a4", "title": "BGP Face Retrieval Based on Coding Pyramid", "year": "2018", "pdf": []}, {"id": "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "title": "Fast Face Detector Training Using Tailored Views", "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~jpetterson//papers/2013/KriFerPetBlaetal13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Scherbaum_Fast_Face_Detector_2013_ICCV_paper.pdf"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"]}, {"id": "0f9bf5d8f9087fcba419379600b86ae9e9940013", "title": "Hybrid human detection and recognition in surveillance", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~knngan/2016/NC_v194_p10-23.pdf"]}, {"id": "06fe63b34fcc8ff68b72b5835c4245d3f9b8a016", "title": "Learning semantic representations of objects and their parts", "year": "2013", "pdf": ["http://chechiklab.biu.ac.il/~gal/Papers/Mesnil_MachineLearning2013_objects_and_their_parts.pdf", "http://www-labs.iro.umontreal.ca/~lisa/pointeurs/2013_semantic_image_mlj.pdf", "http://www.iro.umontreal.ca/~lisa/pointeurs/2013_semantic_image_mlj.pdf"]}, {"id": "258a2dad71cb47c71f408fa0611a4864532f5eba", "title": "Discriminative Optimization of Local Features for Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/258a/2dad71cb47c71f408fa0611a4864532f5eba.pdf"]}, {"id": "30c96cc041bafa4f480b7b1eb5c45999701fe066", "title": "Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval", "year": "2014", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/DiscreteCosineTransformLocality-SensitiveHashes14.pdf"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"]}, {"id": "7480d8739eb7ab97c12c14e75658e5444b852e9f", "title": "MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe4/b03951be323394e6749f6a30b2ac9b924479.pdf"]}, {"id": "cf6c59d359466c41643017d2c212125aa0ee84b2", "title": "Weakly-supervised deep self-learning for face recognition", "year": "2016", "pdf": []}, {"id": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "title": "Uncorrelated multi-set feature learning for color face recognition", "year": "2016", "pdf": []}, {"id": "8b1f697d81de1245c283b4f8f055b9b76badfa66", "title": "Test Sample Oriented Dictionary Learning for Face Recognition", "year": "2016", "pdf": []}, {"id": "50f0c495a214b8d57892d43110728e54e413d47d", "title": "Pairwise support vector machines and their application to large scale problems", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/50f0/c495a214b8d57892d43110728e54e413d47d.pdf"]}, {"id": "6f5ce5570dc2960b8b0e4a0a50eab84b7f6af5cb", "title": "Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.06247.pdf"]}, {"id": "e043d79f4dc41c9decaf637d8ffdd11f8ed59f2b", "title": "Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d589/29d6cc1dfa513b145e47598c446b16487861.pdf"]}, {"id": "8813368c6c14552539137aba2b6f8c55f561b75f", "title": "Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1607.05427.pdf"]}, {"id": "b8378ab83bc165bc0e3692f2ce593dcc713df34a", "title": "A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking", "year": "2014", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Cech-ICPR-2014.pdf"]}, {"id": "94a7c97d1e3eb5dbfb20b180780451486597a9be", "title": "Facial attributes for active authentication on mobile devices", "year": "2017", "pdf": ["http://www.rci.rutgers.edu/~vmp93/Journal_pub/attrspaper_final.pdf"]}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": 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"Learning from Differentially Private Neural Activations with Edge Computing", "year": "2018", "pdf": []}, {"id": "77d31d2ec25df44781d999d6ff980183093fb3de", "title": "The Multiverse Loss for Robust Transfer Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.09033.pdf"]}, {"id": "59fc69b3bc4759eef1347161e1248e886702f8f7", "title": "Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf"]}, {"id": "5ec7925cb1af29cc4916ed552a59db42c82f52d0", "title": "Cross Audio-Visual Recognition in the Wild Using Deep Learning", "year": "2017", "pdf": []}, {"id": "5dc056fe911a3e34a932513abe637076250d96da", "title": "Real-time facial feature detection using conditional regression forests", "year": "2012", "pdf": ["http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf"]}, {"id": "4209783b0cab1f22341f0600eed4512155b1dee6", "title": "Accurate and Efficient Similarity Search for Large Scale Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00365.pdf"]}, {"id": "3e687d5ace90c407186602de1a7727167461194a", "title": "Photo Tagging by Collection-Aware People Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3e68/7d5ace90c407186602de1a7727167461194a.pdf"]}, {"id": "a38dd439209b0913b14b1c3c71143457d8cf9b78", "title": "Face recognition in unconstrained environments", "year": "2015", "pdf": []}, {"id": "c94c2cf52fef0503c09268c7d1faee60465ee08e", "title": "BenchIP: Benchmarking Intelligence Processors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.08315.pdf"]}, {"id": "d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b", "title": "Gender recognition: Methods, datasets and results", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_11.pdf"]}, {"id": "20a3ce81e7ddc1a121f4b13e439c4cbfb01adfba", "title": "Sparse-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e805/bc872e18277c7cbfce82206cf1667cce22cc.pdf"]}, {"id": "ea2ee5c53747878f30f6d9c576fd09d388ab0e2b", "title": "Viola-Jones based detectors: how much affects the training set?", "year": "2011", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15079/5/C075_LNCS_IBPRIA11_postprint.pdf"]}, {"id": "539ffd51f18404e1ef83371488cf5a27cd16d064", "title": "Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model", "year": "2015", "pdf": []}, {"id": "3e18b439a6fff09a0e4c245eb1298531cc766a72", "title": "Semi-automatic Face Image Finding Method , Which Uses the 3 D Model of the Head for Recognising an Unknown Face", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e18/b439a6fff09a0e4c245eb1298531cc766a72.pdf"]}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed 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["http://srl.informatik.uni-freiburg.de/publicationsdir/linderICRA15.pdf"]}, {"id": "d2d9612d3d67582d0cd7c1833599b88d84288fab", "title": "A comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild", "year": "2016", "pdf": []}, {"id": "566038a3c2867894a08125efe41ef0a40824a090", "title": "Face recognition and gender classification in personal memories", "year": "2009", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202009/pdfs/0001945.pdf", "http://mirlab.org/conference_papers/international_conference/icassp%202009/pdfs/0001945.pdf"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": []}, {"id": "7813d405450013bbdb0b3a917319d5964a89484a", "title": "From Affine Rank Minimization Solution to Sparse Modeling", "year": "2017", "pdf": []}, {"id": "edef98d2b021464576d8d28690d29f5431fd5828", "title": "Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02438.pdf"]}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"]}, {"id": "ccb54fc5f263a8bc2a8373839cb6855f528f10d3", "title": "A realistic virtual environment for evaluating face analysis systems under dynamic conditions", "year": "2016", "pdf": ["http://repositorio.uchile.cl/bitstream/handle/2250/138414/A-realistic-virtual-environment.pdf;jsessionid=A6322AF03A70650E441E0B4185CB41C8?sequence=1"]}, {"id": "9207671d9e2b668c065e06d9f58f597601039e5e", "title": "Face Detection Using a 3D Model on Face Keypoints", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9207/671d9e2b668c065e06d9f58f597601039e5e.pdf"]}, {"id": 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Constrained Local Model for 3D Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Zadeh_Convolutional_Experts_Constrained_ICCV_2017_paper.pdf"]}, {"id": "8035e8796ed5bdd44477c523cd6b03f9adfa2d8e", "title": "Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning", "year": "2018", "pdf": []}, {"id": "26ac607a101492bc86fd81a141311066cfe9e2b5", "title": "Sieving Regression Forest Votes for Facial Feature Detection in the Wild", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf", "http://www.eecs.qmul.ac.uk/~hy300/papers/YangPatrasiccv2013.pdf"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"]}, {"id": 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"Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": []}, {"id": "cc9d068cf6c4a30da82fd6350a348467cb5086d4", "title": "Protecting Your Faces: MeshFaces Generation and Removal via High-Order Relation-Preserving CycleGAN", "year": "2018", "pdf": []}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Mazeetal_IARPAJanusBenchmarkCFaceDatasetAndProtocol_ICB2018.pdf"]}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"]}, {"id": "9ba4a5e0b7bf6e26563d294f1f3de44d95b7f682", "title": "To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?", "year": "2018", "pdf": ["http://docs.wixstatic.com/ugd/445e27_b7f15ceb15d34e45836f98d9eeba9a78.pdf", 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"b7b461f82c911f2596b310e2b18dd0da1d5d4491", "title": "K-mappings and Regression trees", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p2961-wang.pdf"]}, {"id": "5d5cd6fa5c41eb9d3d2bab3359b3e5eb60ae194e", "title": "Face Recognition Algorithms", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5d5c/d6fa5c41eb9d3d2bab3359b3e5eb60ae194e.pdf"]}, {"id": "6b089627a4ea24bff193611e68390d1a4c3b3644", "title": "PAID I CROSS-POLLINATION OF NORMALISATION TECHNIQUES FROM SPEAKER TO FACE AUTHENTICATION USING GAUSSIAN MIXTURE MODELS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6b08/9627a4ea24bff193611e68390d1a4c3b3644.pdf"]}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"]}, {"id": "52a9f957f776c8b3d913cfcd20452b9e31c27845", "title": "OPML: A one-pass closed-form solution for online metric learning", 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recognition", "year": "2012", "pdf": ["http://research.microsoft.com/en-us/um/people/horvitz/memory_constrained_face_recognition.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/11/memory_constrained_face_recognition.pdf"]}, {"id": "c866a2afc871910e3282fd9498dce4ab20f6a332", "title": "Surveillance Face Recognition Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"]}, {"id": "176d9121e4e645344de4706dfb345ad456bfb84a", "title": "Efficient algorithm for sparse coding and dictionary learning with applications to face recognition", "year": "2015", "pdf": []}, {"id": "75249ebb85b74e8932496272f38af274fbcfd696", "title": "Face Identification in Large Galleries", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7524/9ebb85b74e8932496272f38af274fbcfd696.pdf"]}, {"id": "641f0989b87bf7db67a64900dcc9568767b7b50f", "title": "Reconstructing faces from their signatures using RBF regression", "year": "2013", "pdf": 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"http://www.cs.colostate.edu/~vision/publications/beveridge_cvprw10.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=903086", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=903086"]}, {"id": "fdb33141005ca1b208a725796732ab10a9c37d75", "title": "A connectionist computational method for face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/edbd/c2920441bd751f57bea87a9c0fc283874b50.pdf"]}, {"id": "40b10e330a5511a6a45f42c8b86da222504c717f", "title": "Implementing the Viola-Jones Face Detection Algorithm", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/40b1/0e330a5511a6a45f42c8b86da222504c717f.pdf"]}, {"id": "23120f9b39e59bbac4438bf4a8a7889431ae8adb", "title": "Aalborg Universitet Improved RGB-D-T based Face Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2312/0f9b39e59bbac4438bf4a8a7889431ae8adb.pdf"]}, {"id": "9b4d2cd2e5edbf5c8efddbdcce1db9a02a853534", "title": "Exponential Discriminant Locality Preserving Projection 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Large-Scale Face Recognition Systems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"]}, {"id": "4f591e243a8f38ee3152300bbf42899ac5aae0a5", "title": "Understanding Higher-Order Shape via 3D Shape Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4f59/1e243a8f38ee3152300bbf42899ac5aae0a5.pdf"]}, {"id": "b5857b5bd6cb72508a166304f909ddc94afe53e3", "title": "SSIG and IRISA at Multimodal Person Discovery", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b585/7b5bd6cb72508a166304f909ddc94afe53e3.pdf"]}, {"id": "4180978dbcd09162d166f7449136cb0b320adf1f", "title": "Real-time head pose classification in uncontrolled environments with Spatio-Temporal Active Appearance Models", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4180/978dbcd09162d166f7449136cb0b320adf1f.pdf"]}, {"id": "934efd61b20f5b8b151a2df7cd373f0b387c02b0", "title": "Photo rating of facial pictures based on image segmentation", 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recognition", "year": "2017", "pdf": []}, {"id": "01c4cf9c7c08f0ad3f386d88725da564f3c54679", "title": "Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/01c4/cf9c7c08f0ad3f386d88725da564f3c54679.pdf"]}, {"id": "0faf441a1ef1e788fb9ccd20484b104a1fa95ee8", "title": "A brief review on techniques for recognizing images under varying poses", "year": "2015", "pdf": []}, {"id": "04616814f1aabe3799f8ab67101fbaf9fd115ae4", "title": "Sp\u00e9cialit\u00e9 : Informatique Et Applications Description S\u00e9mantique Des Humains Pr\u00e9sents Dans Des Images Vid\u00e9o (semantic Description of Humans in Images)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/0461/6814f1aabe3799f8ab67101fbaf9fd115ae4.pdf"]}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"]}, {"id": "06560d5721ecc487a4d70905a485e22c9542a522", "title": "Deep Facial Attribute Detection in the Wild: From General to Specific", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0656/0d5721ecc487a4d70905a485e22c9542a522.pdf"]}, {"id": "927ad0dceacce2bb482b96f42f2fe2ad1873f37a", "title": "Interest-Point based Face Recognition System", "year": "2010", "pdf": ["http://cdn.intechopen.com/pdfs/10204/InTech-Interest_point_based_face_recognition_system.pdf", "http://cdn.intechweb.org/pdfs/10204.pdf"]}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": []}, {"id": "7bdcd85efd1e3ce14b7934ff642b76f017419751", "title": "Learning Discriminant Face Descriptor", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/Lei-DFD-PAMI-14.pdf"]}, {"id": "259706f1fd85e2e900e757d2656ca289363e74aa", "title": "Improving People Search Using Query Expansion : How Friends Help To Find People", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/6f98/3e8f26066f2ea486f6653b87154360d948ca.pdf"]}, {"id": "66a2c229ac82e38f1b7c77a786d8cf0d7e369598", "title": "A Probabilistic Adaptive Search System for Exploring the Face Space", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.08524.pdf"]}, {"id": "d8288322f32ee4501cef5a9b667e5bb79ebd7018", "title": "Facing scalability: Naming faces in an online social network", "year": "2012", "pdf": []}, {"id": "42cc9ea3da1277b1f19dff3d8007c6cbc0bb9830", "title": "Coordinated Local Metric Learning", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf"]}, {"id": "c8adbe00b5661ab9b3726d01c6842c0d72c8d997", "title": "Deep Architectures for Face Attributes", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.09018.pdf"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"]}, {"id": "82417d8ec8ac6406f2d55774a35af2a1b3f4b66e", "title": "Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8241/7d8ec8ac6406f2d55774a35af2a1b3f4b66e.pdf"]}, {"id": "040dc119d5ca9ea3d5fc39953a91ec507ed8cc5d", "title": "Large-scale Bisample Learning on ID vs. Spot Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03018.pdf"]}, {"id": "307a810d1bf6f747b1bd697a8a642afbd649613d", "title": "An affordable contactless security system access for restricted area", "year": "2016", "pdf": []}, {"id": "46c82cfadd9f885f5480b2d7155f0985daf949fc", "title": "3D Shape Attributes", "year": "2016", "pdf": 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at kernel level for face recognition \u2606", "year": "2017", "pdf": []}, {"id": "1056347fc5e8cd86c875a2747b5f84fd570ba232", "title": "Multi-Camera Action Dataset (MCAD): A Dataset for Studying Non-overlapped Cross-Camera Action Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1056/347fc5e8cd86c875a2747b5f84fd570ba232.pdf"]}, {"id": "352a620f0b96a7e76b9195a7038d5eec257fd994", "title": "Kinship Classification through Latent Adaptive Subspace", "year": "2018", "pdf": []}, {"id": "2c06781ba75d51f5246d65d1acf66ab182e9bde6", "title": "Open-set face recognition across look-alike faces in real-world scenarios", "year": "2017", "pdf": []}, {"id": "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "title": "Unrestricted pose-invariant face recognition by sparse dictionary matrix", "year": "2015", "pdf": []}, {"id": "370e0d9b89518a6b317a9f54f18d5398895a7046", "title": "Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/370e/0d9b89518a6b317a9f54f18d5398895a7046.pdf"]}, {"id": "282a3ee79a08486f0619caf0ada210f5c3572367", "title": "Accelerated Training for Massive Classification via Dynamic Class Selection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.01687.pdf"]}, {"id": "e69261094b118eb52ab370ab4d0c7158f51846e4", "title": "Deep Learning Based Approach for Gender Classification", "year": "2018", "pdf": []}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": []}, {"id": "dd600e7d6e4443ebe87ab864d62e2f4316431293", "title": "Improving facial expression analysis using histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553774.pdf"]}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"]}, {"id": "fe108803ee97badfa2a4abb80f27fa86afd9aad9", "title": "Kernel discriminant transformation for image set-based face recognition", "year": "2011", "pdf": ["http://www.csie.kuas.edu.tw/~jcchen/pdf/Kernel%20discriminant%20transformation%20for%20image%20set-based%20face%20recognition.pdf"]}, {"id": "3a846704ef4792dd329a5c7a2cb8b330ab6b8b4e", "title": "FACE-GRAB: Face recognition with General Region Assigned to Binary operator", "year": "2010", "pdf": ["http://vast.uccs.edu/~tboult/PAPERS/Sapkota-et-al-FACEGRAB-IEEE-Bioworkshop-2010.pdf", "http://www.vast.uccs.edu/~tboult/PAPERS/Sapkota-et-al-FACEGRAB-IEEE-Bioworkshop-2010.pdf", "http://www.wjscheirer.com/papers/wjs_cswb2010_grab.pdf"]}, {"id": "be4faea0971ef74096ec9800750648b7601dda65", "title": "Feature Analysis of Unsupervised Learning for Multi-task Classification Using Convolutional Neural Network", "year": "2017", "pdf": []}, {"id": "d03e4e938bcbc25aa0feb83d8a0830f9cd3eb3ea", "title": "Face Recognition with Patterns of Oriented Edge Magnitudes", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/d03e/4e938bcbc25aa0feb83d8a0830f9cd3eb3ea.pdf"]}, {"id": "a92c207031b0778572bf41803dba1a21076e128b", "title": "Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques", "year": "2018", "pdf": []}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.pdf"]}, {"id": "38f1fac3ed0fd054e009515e7bbc72cdd4cf801a", "title": "Finding Person Relations in Image Data of the Internet Archive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"]}, {"id": "3ede3ed28329bf48fbd06438a69c4f855bef003f", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"]}, {"id": "28b9d92baea72ec665c54d9d32743cf7bc0912a7", "title": "Parametric temporal alignment for the detection of facial action temporal segments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a7f8/b6bf6aa7a12773ad9bcf1d040d4d74d12493.pdf"]}, {"id": "d59404354f84ad98fa809fd1295608bf3d658bdc", "title": "Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.00077.pdf"]}, {"id": "6966d9d30fa9b7c01523425726ab417fd8428790", "title": "Exemplar-Based Face Parsing", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-parsing/SmithCVPR2013_poster.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d484.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf"]}, {"id": "d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d", "title": "Robust Face Recognition via Multimodal Deep Face Representation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00244.pdf"]}, {"id": "3a9681e2e07be7b40b59c32a49a6ff4c40c962a2", "title": "Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1c95/1714996c573b00e63878acdc48cdc4ddc183.pdf"]}, {"id": "571b83f7fc01163383e6ca6a9791aea79cafa7dd", "title": "SeqFace: Make full use of sequence information for face recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06524.pdf"]}, {"id": "96ccd94151a348c9829ab1d943cb13e9e933952f", "title": "A face detector based on color and texture", "year": "2014", "pdf": []}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"]}, {"id": "87e5b4d95f95a0975e855cf5ad402db7a3c64ff5", "title": "Local Novelty Detection in Multi-class Recognition Problems", "year": "2015", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Bodesheim15:LND", "http://www.researchgate.net/profile/Paul_Bodesheim/publication/269314560_Local_Novelty_Detection_in_Multi-class_Recognition_Problems/links/5486c2420cf289302e2c35eb.pdf"]}, {"id": "9854145f2f64d52aac23c0301f4bb6657e32e562", "title": "An Improved Face Verification Approach Based on Speedup Robust Features and Pairwise Matching", "year": "2013", "pdf": ["http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114953_2.pdf"]}, {"id": "25127c2d9f14d36f03d200a65de8446f6a0e3bd6", "title": "EVALUATING THE PERFORMANCE OF DEEP SUPERVISED AUTO ENCODER IN SINGLE SAMPLE FACE RECOGNITION PROBLEM USING KULLBACK-LEIBLER DIVERGENCE SPARSITY REGULARIZER", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2512/7c2d9f14d36f03d200a65de8446f6a0e3bd6.pdf"]}, {"id": "13f065d4e6dfe2a130bd64d73eee97d10d9f7d33", "title": "A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations", "year": "2015", "pdf": []}, {"id": "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "title": "McGan: Mean and Covariance Feature Matching GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08398.pdf"]}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"]}, {"id": "458677de7910a5455283a2be99f776a834449f61", "title": "Face Image Retrieval Using Facial Attributes By K-Means", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4586/77de7910a5455283a2be99f776a834449f61.pdf"]}, {"id": "c3285a1d6ec6972156fea9e6dc9a8d88cd001617", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.05083.pdf"]}, {"id": "e988be047b28ba3b2f1e4cdba3e8c94026139fcf", "title": "Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04710.pdf"]}, {"id": "f33bd953d2df0a5305fc8a93a37ff754459a906c", "title": "Deformable Models of Ears in-the-Wild for Alignment and Recognition", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf"]}, {"id": "76cd5e43df44e389483f23cb578a9015d1483d70", "title": "Face Verification from Depth using Privileged Information", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/76cd/5e43df44e389483f23cb578a9015d1483d70.pdf"]}, {"id": "8e94ed0d7606408a0833e69c3185d6dcbe22bbbe", "title": "For your eyes only", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_wacv2012_eyes.pdf"]}, {"id": "12ba7c6f559a69fbfaacf61bfb2f8431505b09a0", "title": "DocFace+: ID Document to Selfie Matching", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.05620.pdf"]}, {"id": "c1482491f553726a8349337351692627a04d5dbe", "title": "When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00048.pdf"]}, {"id": "5121f42de7cb9e41f93646e087df82b573b23311", "title": "Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04347.pdf"]}, {"id": "08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7", "title": "Understanding Kin Relationships in a Photo", "year": "2012", "pdf": ["http://www1.ece.neu.edu/~yunfu/papers/Kinship-TMM.pdf"]}, {"id": "191674c64f89c1b5cba19732869aa48c38698c84", "title": "FACE IMAGE RETRIEVAL USING ATTRIBUTE-ENHANCED SPARSE CODEWORDS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"]}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"]}, {"id": "59bfeac0635d3f1f4891106ae0262b81841b06e4", "title": "Face Verification Using the LARK Face Representation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/59bf/eac0635d3f1f4891106ae0262b81841b06e4.pdf"]}, {"id": "2f0b8579829b3d4efdbc03c96821e33d7cc65e1d", "title": "Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision", "year": "2014", "pdf": ["http://lear.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://thoth.inrialpes.fr/people/mpederso/papers/cvpr14-facial.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Pedersoli_Using_a_Deformation_2014_CVPR_paper.pdf"]}, {"id": "814b05113ba0397d236736f94c01e85bb034c833", "title": "Local receptive field constrained deep networks", "year": "2016", "pdf": ["http://www.cs.nott.ac.uk/~psxdmt/turcsany16_lrfdnn_infsci.pdf"]}, {"id": "b7f7a4df251ff26aca83d66d6b479f1dc6cd1085", "title": "Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b7f7/a4df251ff26aca83d66d6b479f1dc6cd1085.pdf"]}, {"id": "486a82f50835ea888fbc5c6babf3cf8e8b9807bc", "title": "Face Search at Scale: 80 Million Gallery", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.07242.pdf"]}, {"id": "2004afb2276a169cdb1f33b2610c5218a1e47332", "title": "Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2004/afb2276a169cdb1f33b2610c5218a1e47332.pdf"]}, {"id": "198b6beb53e0e61357825d57938719f614685f75", "title": "Vaulted Verification : A Scheme for Revocable Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/198b/6beb53e0e61357825d57938719f614685f75.pdf"]}, {"id": "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "title": "Robust domain adaptation image classification via sparse and low rank representation", "year": "2015", "pdf": []}, {"id": "153f5ad54dd101f7f9c2ae17e96c69fe84aa9de4", "title": "Overview of algorithms for face detection and tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/153f/5ad54dd101f7f9c2ae17e96c69fe84aa9de4.pdf"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"]}, {"id": "1742e6c347037d5d4ccbdf5c7a27dfbf0afedb91", "title": "A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data", "year": "2016", "pdf": ["https://arxiv.org/pdf/1309.6487.pdf"]}, {"id": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klareetal_UnconstrainedFaceDetectionRecognitionJanus_CVPR15.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_089.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_089_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Klare_Pushing_the_Frontiers_2015_CVPR_paper.pdf"]}, {"id": "5157dde17a69f12c51186ffc20a0a6c6847f1a29", "title": "Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension", "year": "2015", "pdf": 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["https://arxiv.org/pdf/1604.06433.pdf"]}, {"id": "cc47368fe303c6cbda38caf5ac0e1d1c9d7e2a52", "title": "University Classroom Attendance Based on Deep Learning", "year": "2017", "pdf": []}, {"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": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"]}, {"id": "406c5aeca71011fd8f8bd233744a81b53ccf635a", "title": "Scalable softmax loss for face verification", "year": "2017", "pdf": []}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": 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["http://sameekhan.org/pub/M_K_2015_FIT.pdf"]}, {"id": "02601d184d79742c7cd0c0ed80e846d95def052e", "title": "Graphical Representation for Heterogeneous Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.00488.pdf"]}, {"id": "833f6ab858f26b848f0d747de502127406f06417", "title": "Learning weighted similarity measurements for unconstrained face recognition", "year": "2009", "pdf": ["http://mediatum.ub.tum.de/doc/980054/157447.pdf"]}, {"id": "0857281a3b6a5faba1405e2c11f4e17191d3824d", "title": "Face recognition via edge-based Gabor feature representation for plastic surgery-altered images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0857/281a3b6a5faba1405e2c11f4e17191d3824d.pdf"]}, {"id": "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "title": "Supervised Congealing for Simultaneous Face Normalization and Eye Localization", "year": "2009", "pdf": []}, {"id": "5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0", "title": "Reference Face Graph for Face Recognition", 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"http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~jyang29/papers/CVPR13-PEM.pdf"]}, {"id": "1d3e01d5e2721dcfafe5a3b39c54ee1c980350bb", "title": "Face Alignment by Explicit Shape Regression", "year": "2012", "pdf": ["http://research.microsoft.com/en-us/people/yichenw/cvpr12_facealignment.pdf", "http://research.microsoft.com/pubs/206636/Face%20Alignment%20by%20Explicit%20Shape%20Regression.pdf", "http://www.jiansun.org/papers/CVPR12_FaceAlignRegression.pdf", "http://www.tpbin.com/Uploads/Subjects/c94b2e5f-171c-4387-8fe1-e005afe2f0cd.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/Face-Alignment-by-Explicit-Shape-Regression.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/yichenw-cvpr12_facealignment.pdf"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging 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Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": []}, {"id": "ef032afa4bdb18b328ffcc60e2dc5229cc1939bc", "title": "Attribute-enhanced metric learning for face retrieval", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef03/2afa4bdb18b328ffcc60e2dc5229cc1939bc.pdf"]}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": []}, {"id": "5be3cc1650c918da1c38690812f74573e66b1d32", "title": "Relative Parts: Distinctive Parts for Learning Relative Attributes", "year": "2014", "pdf": ["http://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/papers/Yashaswi2014Relative.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sandeep_Relative_Parts_Distinctive_2014_CVPR_paper.pdf"]}, {"id": "d340a135a55ecf7506010e153d5f23155dcfa7e8", "title": "MAVI: An Embedded Device to Assist Mobility of Visually Impaired", "year": 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"http://openaccess.thecvf.com/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf"]}, {"id": "4df34e0194faa27078832cb5078a2af6c9d0ea9b", "title": "Saliency Prediction in the Deep Learning Era: An Empirical Investigation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03716.pdf"]}, {"id": "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "title": "Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/90d7/35cffd84e8f2ae4d0c9493590f3a7d99daf1.pdf"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"]}, {"id": "1ffe20eb32dbc4fa85ac7844178937bba97f4bf0", "title": "Face Clustering: Representation and Pairwise Constraints", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05067.pdf"]}, 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for Monocular Reconstruction at over 250 Hz", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.02859.pdf"]}, {"id": "df310591dfba9672252d693bc87da73c246749c9", "title": "Fusion of Holistic and Part Based Features for Gender Classification in the Wild", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/df31/0591dfba9672252d693bc87da73c246749c9.pdf"]}, {"id": "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"]}, {"id": "1280b35e4a20036fcfd82ee09f45a3fca190276f", "title": "Face Verification Based on Feature Transfer via PCA-SVM Framework", "year": "2017", "pdf": []}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"]}, {"id": 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"13fd0a4d06f30a665fc0f6938cea6572f3b496f7", "title": "Regularized Extreme Learning Machine for Large-scale Media Content Analysis", "year": "2015", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/conference/2015_INNS_RELM.pdf?dl=0"]}, {"id": "89272b78b651038ff4d294b9ccca0018d2c9033b", "title": "Low Computation Face Verification Using Class Center Analysis", "year": "2014", "pdf": []}, {"id": "6b35b15ceba2f26cf949f23347ec95bbbf7bed64", "title": "RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor", "year": "2015", "pdf": ["http://lhncbc.nlm.nih.gov/system/files/pub9220.pdf"]}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": []}, {"id": "7918698ffa86cdd6123bc2f1f613be1ab38c0d2f", "title": "Learning to Recognize Faces in Realistic Conditions", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7918/698ffa86cdd6123bc2f1f613be1ab38c0d2f.pdf"]}, {"id": "fdaf65b314faee97220162980e76dbc8f32db9d6", "title": "Face recognition using both visible light image and near-infrared image and a deep network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fdaf/65b314faee97220162980e76dbc8f32db9d6.pdf"]}, {"id": "68bf34e383092eb827dd6a61e9b362fcba36a83a", "title": "Multi-view, High-resolution Face Image Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/68bf/34e383092eb827dd6a61e9b362fcba36a83a.pdf"]}, {"id": "e692870efb009da4b9316678b354ae935fdf48eb", "title": "An Efficient and Robust Gender Classification System", "year": "2015", "pdf": []}, {"id": "f1280f76933ba8b7f4a6b8662580504f02bb4ab6", "title": "Gender Classification by Deep Learning on Millions of Weakly Labelled Images", "year": "2016", "pdf": ["https://research-information.bristol.ac.uk/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf"]}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"]}, {"id": "2dd6c988b279d89ab5fb5155baba65ce4ce53c1e", "title": "Learning deformable shape manifolds", "year": "2012", "pdf": ["http://www2.ece.ohio-state.edu/~aleix/PR12.pdf"]}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.pdf"]}, {"id": "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "title": "Robust Face Recognition with Structural Binary Gradient Patterns", "year": "2017", "pdf": ["https://arxiv.org/pdf/1506.00481.pdf"]}, {"id": "1d776bfe627f1a051099997114ba04678c45f0f5", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"]}, {"id": "51348e24d2199b06273e7b65ae5f3fc764a2efc7", "title": "Scalable $k$-NN graph construction", "year": "2013", "pdf": ["https://arxiv.org/pdf/1307.7852.pdf"]}, {"id": "a4a0b5f08198f6d7ea2d1e81bd97fea21afe3fc3", "title": "cient Recurrent Residual Networks Improved by Feature Transfer MSc Thesis", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a4a0/b5f08198f6d7ea2d1e81bd97fea21afe3fc3.pdf"]}, {"id": "a98316980b126f90514f33214dde51813693fe0d", "title": "Collaborations on YouTube: From Unsupervised Detection to the Impact on Video and Channel Popularity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01887.pdf"]}, {"id": "c3fb2399eb4bcec22723715556e31c44d086e054", "title": "Face recognition based on SIGMA sets of image features", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p499-srinivasan.pdf"]}, {"id": "0ee661a1b6bbfadb5a482ec643573de53a9adf5e", "title": "On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition", "year": "2014", "pdf": ["http://epubs.surrey.ac.uk/812523/1/yunlian_TIFS2014.pdf"]}, {"id": "7a85b3ab0efb6b6fcb034ce13145156ee9d10598", "title": "Inter-image outliers and their application to image classification", "year": "2010", "pdf": ["https://research-repository.griffith.edu.au/bitstream/handle/10072/34436/64724_2.pdf?isAllowed=y&sequence=1"]}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"]}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": []}, {"id": "5fff61302adc65d554d5db3722b8a604e62a8377", "title": "Additive Margin Softmax for Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05599.pdf"]}, {"id": "2e091b311ac48c18aaedbb5117e94213f1dbb529", "title": "Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/papers/8694/86940078.pdf"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": []}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": []}, {"id": "7f3a73babe733520112c0199ff8d26ddfc7038a0", "title": "Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7f3a/73babe733520112c0199ff8d26ddfc7038a0.pdf"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": []}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"]}, {"id": "ec00ecb64fa206cea8b2e716955a738a96424084", "title": "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Hashemi_Intelligent_Synthesis_Driven_ICCV_2017_paper.pdf"]}, {"id": "765be0c44a67e41e0f8f0b5d8a3af0ff40a00c7d", "title": "Cross-Generating GAN for Facial Identity Preserving", "year": "2018", "pdf": []}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": []}, {"id": "24a20ebfe86859e0d91c2b44188f115b58ba8d9c", "title": "The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics", "year": "2018", "pdf": ["https://www.igd.fraunhofer.de/sites/default/files/media/biblio/2018/2018_samartzidis_the_dark_side_of_the_face_exploring_the_ultraviolet_spectrum_for_face_biometrics.pdf"]}, {"id": "26727dc7347e3338d22e8cf6092e3a3c7568d763", "title": "Discriminative low-rank metric learning for face recognition", "year": "2015", "pdf": []}, {"id": "1a9337d70a87d0e30966ecd1d7a9b0bbc7be161f", "title": "A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Tapabrata_Chakraborti/publication/262340257_A_novel_binary_adaptive_weight_GSA_based_feature_selection_for_face_recognition_using_local_gradient_patterns_modified_census_transform_and_local_binary_patterns/links/54bf8c600cf2f6bf4e04fab5.pdf"]}, {"id": "2c92839418a64728438c351a42f6dc5ad0c6e686", "title": "Pose-Aware Face Recognition in the Wild", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"]}, {"id": "fcf8bb1bf2b7e3f71fb337ca3fcf3d9cf18daa46", "title": "Feature Selection via Sparse Approximation for Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1102.2748.pdf"]}, {"id": "0b82bf595e76898993ed4f4b2883c42720c0f277", "title": "Improving Face Recognition by Exploring Local Features with Visual Attention", "year": "2018", "pdf": ["http://biometrics.cse.msu.edu/Publications/Fingerprint/Shietal_ImprovingFaceRecognitionByExploringLocalRegionsWithVisuaAttention_ICB2018.pdf"]}, {"id": "5a8f96f6906af8fbf73810b88c68b84a31555f60", "title": "Iterative Grassmannian Optimization for Robust Image Alignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1306.0404.pdf"]}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": []}, {"id": "404776aa18031828f3d5dbceed39907f038a47fe", "title": "Sparsely encoded local descriptor for face verification", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/homepage/rpwang/publications/Sparsely%20Encoded%20Local%20Descriptor%20for%20Face%20Verification_NECO2015.pdf", "https://pdfs.semanticscholar.org/4047/76aa18031828f3d5dbceed39907f038a47fe.pdf"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"]}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": []}, {"id": "c81ee278d27423fd16c1a114dcae486687ee27ff", "title": "Search Based Face Annotation Using Weakly Labeled Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c81e/e278d27423fd16c1a114dcae486687ee27ff.pdf"]}, {"id": "32743e72cdb481b7a30a3d81a96569dcbea4e409", "title": "Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00361.pdf"]}, {"id": "a9af0dc1e7a724464d4b9d174c9cf2441e34d487", "title": "Gabor-scale binary pattern for face recognition", "year": "2016", "pdf": []}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.pdf"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05715.pdf"]}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"]}, {"id": "2fce767ad830e0203d62ce30bbe75213b959d19c", "title": "Histogram of Log-Gabor Magnitude Patterns for face recognition", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p519-yi.pdf"]}, {"id": "1b27ca161d2e1d4dd7d22b1247acee5c53db5104", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"]}, {"id": "62c435bc714f13a373926e3b1914786592ed1fef", "title": "Classification Signboard Detection Face Detection Animal Detection Texture Detection GPS + IMU Depth Localization Module Central Control Speech", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62c4/35bc714f13a373926e3b1914786592ed1fef.pdf"]}, {"id": "dc13229afbbc8b7a31ed5adfe265d971850c0976", "title": "Learning from Millions of 3 D Scans for Large-scale 3 D Face Recognition", "year": "2017", "pdf": []}, {"id": "234c106036964131c0f2daf76c47ced802652046", "title": "Adaptive facial point detection and emotion recognition for a humanoid robot", "year": "2015", "pdf": ["https://ijcter.com/papers/volume-2/issue-4/facial-point-detection-and-emotion-recognition-for-a-humanoid-robot.pdf"]}, {"id": "97d811ae99bcbcf9f63c2f447041ab6d74a20b1e", "title": "Face recognition using truncated transform domain feature extraction", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/97d8/11ae99bcbcf9f63c2f447041ab6d74a20b1e.pdf"]}, {"id": "dbc04694ef17c83bb12b3ad34da6092eab68ae68", "title": "Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.04423.pdf"]}, {"id": "eb32aa2988fdfdc8656f9f31b35ed4d52110b039", "title": "Constrained Energy Minimization for Matching-Based Image Recognition", "year": "2010", "pdf": ["http://www.quaero.org/media/files/bibliographie/gass.pdf", "http://www.researchgate.net/profile/Philippe_Dreuw/publication/220929883_Constrained_Energy_Minimization_for_Matching-Based_Image_Recognition/links/02bfe50ebd7d87d3ea000000.pdf", "https://www-i6.informatik.rwth-aachen.de/publications/download/664/Gass-ICPR-2010.pdf"]}, {"id": "9ec9a80b1c9ee6450f4419f01e457bb87d91bd5e", "title": "Optimized projection for Collaborative Representation based Classification and its applications to face recognition", "year": "2016", "pdf": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "6b6493551017819a3d1f12bbf922a8a8c8cc2a03", "title": "Pose Normalization for Local Appearance-Based Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6b64/93551017819a3d1f12bbf922a8a8c8cc2a03.pdf"]}, {"id": "195b61470720c7faa523e10e68d0c8d8f27d7c7a", "title": "Principal regression analysis", "year": "2011", "pdf": []}, {"id": "0c069a870367b54dd06d0da63b1e3a900a257298", "title": "Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs", "year": "2011", "pdf": ["https://arxiv.org/pdf/1107.3823.pdf"]}, {"id": "1fc249ec69b3e23856b42a4e591c59ac60d77118", "title": "Evaluation of a 3D-aided pose invariant 2D face recognition system", "year": "2017", "pdf": []}, {"id": "09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3", "title": "Face Recognition Based on Densely Connected Convolutional Networks", "year": "2018", "pdf": []}, {"id": "2f28db98e8250cff29bc64b569801c739036e4ef", "title": "Face recognition using modified deep learning neural network", "year": "2017", "pdf": []}, {"id": "fed8cc533037d7d925df572a440fd89f34d9c1fd", "title": "Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf"]}, {"id": "36c5421d477697a8692fe6a51ce62473e690c62f", "title": "Group Affect Prediction Using Emotion Heatmaps and Scene Information", "year": "2017", "pdf": []}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"]}, {"id": "77c7d8012fe4179a814c1241a37a2256361bc1a4", "title": "BGP Face Retrieval Based on Coding Pyramid", "year": "2018", "pdf": []}, {"id": "c2d39d5a0f476f8fe06a1d8023301e3b3b45236f", "title": "Fast Face Detector Training Using Tailored Views", "year": "2013", "pdf": ["http://users.cecs.anu.edu.au/~jpetterson//papers/2013/KriFerPetBlaetal13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Scherbaum_Fast_Face_Detector_2013_ICCV_paper.pdf"]}, {"id": "2d1f86e2c7ba81392c8914edbc079ac64d29b666", "title": "Deep Heterogeneous Feature Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "029b53f32079063047097fa59cfc788b2b550c4b", "title": "Continuous Conditional Neural Fields for Structured Regression", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f4e3/c42df13aeed9196647d4e3fe0f84fa725252.pdf"]}, {"id": "0f9bf5d8f9087fcba419379600b86ae9e9940013", "title": "Hybrid human detection and recognition in surveillance", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~knngan/2016/NC_v194_p10-23.pdf"]}, {"id": "06fe63b34fcc8ff68b72b5835c4245d3f9b8a016", "title": "Learning semantic representations of objects and their parts", "year": "2013", "pdf": ["http://chechiklab.biu.ac.il/~gal/Papers/Mesnil_MachineLearning2013_objects_and_their_parts.pdf", "http://www-labs.iro.umontreal.ca/~lisa/pointeurs/2013_semantic_image_mlj.pdf", "http://www.iro.umontreal.ca/~lisa/pointeurs/2013_semantic_image_mlj.pdf"]}, {"id": "258a2dad71cb47c71f408fa0611a4864532f5eba", "title": "Discriminative Optimization of Local Features for Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/258a/2dad71cb47c71f408fa0611a4864532f5eba.pdf"]}, {"id": "30c96cc041bafa4f480b7b1eb5c45999701fe066", "title": "Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval", "year": "2014", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/DiscreteCosineTransformLocality-SensitiveHashes14.pdf"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"]}, {"id": "7480d8739eb7ab97c12c14e75658e5444b852e9f", "title": "MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cfe4/b03951be323394e6749f6a30b2ac9b924479.pdf"]}, {"id": "cf6c59d359466c41643017d2c212125aa0ee84b2", "title": "Weakly-supervised deep self-learning for face recognition", "year": "2016", "pdf": []}, {"id": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", 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Performance under Aging", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/DebBestRowdenJain_FaceRecognitionPerformanceUnderAging_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Deb_Face_Recognition_Performance_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/CVPR2017_Lacey_v2.pdf"]}, {"id": "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "title": "Can We Minimize the Influence Due to Gender and Race in Age Estimation?", "year": "2013", "pdf": []}, {"id": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"]}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf"]}, {"id": "197eaa59a003a4c7cc77c1abe0f99d942f716942", "title": "Web image mining towards universal age estimator", "year": "2009", "pdf": []}, {"id": "28aa89b2c827e5dd65969a5930a0520fdd4a3dc7", "title": "CHARACTERIZATION AND CLASSIFICATION OF FACES ACROSS AGE PROGRESSION by Narayanan Ramanathan", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/28aa/89b2c827e5dd65969a5930a0520fdd4a3dc7.pdf"]}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": []}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": []}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": []}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": []}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": []}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"]}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Rothe_DEX_Deep_EXpectation_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01229.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/105213/eth-48173-01.pdf"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"]}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"]}, {"id": "b1bb517bd87a1212174033fc786b2237844b04e6", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"]}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/05/APPA-REAL-Slides.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01362.pdf"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": []}, {"id": "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"]}, {"id": "363e5a0e4cd857e98de72a726ad6f80cea9c50ab", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"]}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"]}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"]}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "7c8adb2fa156b119a1f576652c39fb06e4e19675", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": []}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"]}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"]}, {"id": "fffefc1fb840da63e17428fd5de6e79feb726894", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"]}, {"id": "a022eff5470c3446aca683eae9c18319fd2406d5", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a022/eff5470c3446aca683eae9c18319fd2406d5.pdf"]}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"]}, {"id": "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "title": "Selecting discriminative CLBP patterns for age estimation", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_9.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modeling of facial aging and kinship: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"]}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", 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"http://www.researchgate.net/profile/Masashi_Sugiyama/publication/220930547_Perceived_Age_Estimation_under_Lighting_Condition_Change_by_Covariate_Shift_Adaptation/links/0fcfd5122b4d406edd000000.pdf"]}, {"id": "f47404424270f6a20ba1ba8c2211adfba032f405", "title": "Identification of Face Age range Group using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f474/04424270f6a20ba1ba8c2211adfba032f405.pdf"]}, {"id": "a608c5f8fd42af6e9bd332ab516c8c2af7063c61", "title": "Age Estimation via Grouping and Decision Fusion", "year": "2015", "pdf": ["http://mcl.usc.edu/wp-content/uploads/2016/01/Liu-TIFS-2015-10.pdf"]}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"]}]}
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Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"]}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"]}, {"id": "2bbbbe1873ad2800954058c749a00f30fe61ab17", "title": "Face Verification across Ages Using Self Organizing Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2bbb/be1873ad2800954058c749a00f30fe61ab17.pdf"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "7c8adb2fa156b119a1f576652c39fb06e4e19675", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": []}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"]}, {"id": 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"http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"]}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"]}, {"id": "fffefc1fb840da63e17428fd5de6e79feb726894", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"]}, {"id": "a022eff5470c3446aca683eae9c18319fd2406d5", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a022/eff5470c3446aca683eae9c18319fd2406d5.pdf"]}, {"id": "67d7022462c98e6c5de9f2254b46f0b8d3b92089", "title": "Facial image database mining and classification analysis using different distance metrics", "year": "2017", "pdf": []}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"]}, {"id": "b7894c1f805ffd90ab4ab06002c70de68d6982ab", "title": "A comprehensive age estimation on face images using hybrid filter based feature extraction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e87/06fab62a5716c30a245e5963f51793e1d0ed.pdf"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"]}, {"id": "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "title": "Selecting discriminative CLBP patterns for age estimation", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_9.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modeling of facial aging and kinship: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"]}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/37eb/666b7eb225ffdafc6f318639bea7f0ba9a24.pdf"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"]}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": []}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"]}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"]}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"]}, {"id": "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "title": "A new facial age estimation method using centrally overlapped block based local texture features", "year": "2017", "pdf": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"]}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"]}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": []}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": []}, {"id": "1b27ca161d2e1d4dd7d22b1247acee5c53db5104", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"]}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "title": "A proposed method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": []}, {"id": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"]}, {"id": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"]}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": []}, {"id": "0fc5c6f06e40014a56f492172f44c073d269e95c", "title": "Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection", "year": "2013", "pdf": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"]}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "bc6de183cd8b2baeebafeefcf40be88468b04b74", "title": "Age Group Recognition using Human Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e057/e713301e089887295543226b79b534fdd145.pdf"]}, {"id": "d4288daef6519f6852f59ac6b85e21b8910f2207", "title": "Recurrent Face Aging with Hierarchical AutoRegressive Memory.", "year": "2018", "pdf": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapers/BMIface2013.pdf", "http://www.csee.wvu.edu/~gdguo/myPapers/BMIface2013.pdf"]}, {"id": "744d23991a2c48d146781405e299e9b3cc14b731", "title": "Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection", "year": "2016", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/LPS2016.pdf"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"]}, {"id": "e0423788eb91772de9d708a17799179cf3230d63", "title": "Age Classification Using an Optimized CNN Architecture", "year": "2017", "pdf": []}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"]}, {"id": "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "title": "SURVEy : Techniques for Aging Problems in Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/469e/e1b00f7bbfe17c698ccded6f48be398f2a44.pdf"]}, {"id": "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "title": "Review on the effects of age, gender, and race demographics on automatic face recognition", "year": "2017", "pdf": []}, {"id": "c29fe5ed41d2240352fcb8d8196eb2f31d009522", "title": "Age estimation with dynamic age range", "year": 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mining towards universal age estimator", "year": "2009", "pdf": []}, {"id": "28aa89b2c827e5dd65969a5930a0520fdd4a3dc7", "title": "CHARACTERIZATION AND CLASSIFICATION OF FACES ACROSS AGE PROGRESSION by Narayanan Ramanathan", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/28aa/89b2c827e5dd65969a5930a0520fdd4a3dc7.pdf"]}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": []}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": []}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": []}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": []}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": []}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"]}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Rothe_DEX_Deep_EXpectation_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01229.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/105213/eth-48173-01.pdf"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"]}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"]}, {"id": "b1bb517bd87a1212174033fc786b2237844b04e6", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"]}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/05/APPA-REAL-Slides.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01362.pdf"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": []}, {"id": "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"]}, {"id": "363e5a0e4cd857e98de72a726ad6f80cea9c50ab", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"]}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"]}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"]}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "7c8adb2fa156b119a1f576652c39fb06e4e19675", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": []}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"]}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"]}, {"id": "fffefc1fb840da63e17428fd5de6e79feb726894", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"]}, {"id": "a022eff5470c3446aca683eae9c18319fd2406d5", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a022/eff5470c3446aca683eae9c18319fd2406d5.pdf"]}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"]}, {"id": "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "title": "Selecting discriminative CLBP patterns for age estimation", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_9.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modeling of facial aging and kinship: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"]}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", 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classification via structured fusion of uncertainty-driven shape features and selected surface features", "year": "2014", "pdf": []}, {"id": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.pdf"]}, {"id": "437642cfc8c34e445ea653929e2d183aaaeeb704", "title": "Component Biologically Inspired Features with Moving Segmentation for Age Estimation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Hsu_Component_Biologically_Inspired_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/Component_Biologically_Inspired_Features_with_Moving_Segmentation_for_Age_Estimation_rev.pdf"]}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"]}, {"id": "29db16efc3b378c50511f743e5197a4c0b9e902f", "title": "Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Kuang_Deeply_Learned_Rich_ICCV_2015_paper.pdf"]}, {"id": "083a2bc86e0984968b06593ba06654277b252f00", "title": "Neural evidence for the contribution of holistic processing but not attention allocation to the other-race effect on face memory.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/083a/2bc86e0984968b06593ba06654277b252f00.pdf"]}, {"id": "3af28e9e9e883c235b6418a68bda519b08f9ae26", "title": "Implications of Adult Facial Aging on Biometrics", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3af2/8e9e9e883c235b6418a68bda519b08f9ae26.pdf"]}, {"id": "3b1260d78885e872cf2223f2c6f3d6f6ea254204", "title": "Face Tracking and Recognition at a Distance: A Coaxial and Concentric PTZ Camera System", "year": "2013", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Choietal_FaceTrackingRecognitionDistancePTZCameraSystem.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Parketal_FaceTrackingRecognitionDistance_CoaxialConcentricPTZCameraSystem_TIFS13.pdf"]}, {"id": "25337690fed69033ef1ce6944e5b78c4f06ffb81", "title": "STRATEGIC ENGAGEMENT REGULATION: AN INTEGRATION OF SELF-ENHANCEMENT AND ENGAGEMENT", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2533/7690fed69033ef1ce6944e5b78c4f06ffb81.pdf"]}, {"id": "09111da0aedb231c8484601444296c50ca0b5388", "title": "Joint estimation of age, gender and ethnicity: CCA vs. PLS", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553737.pdf"]}, {"id": "893239f17dc2d17183410d8a98b0440d98fa2679", "title": "UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d5b1/6481d34838cc92593f5f311badbf7f18ed5a.pdf"]}, {"id": "23d55061f7baf2ffa1c847d356d8f76d78ebc8c1", "title": "Generic and attribute-specific deep representations for maritime vessels", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0033-4?site=ipsjcva.springeropen.com"]}, {"id": "11b904c9180686574e6047bbd9868c354ca46cb4", "title": "Mapping Dynamic Bayesian Networks to $\\alpha$-Shapes: Application to Human Faces Identification Across Ages", "year": "2012", "pdf": []}, {"id": "87b607b8d4858a16731144d17f457a54e488f15d", "title": "Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Karl_Ricanek/publication/220931837_Cross-Age_Face_Recognition_on_a_Very_Large_Database_The_Performance_versus_Age_Intervals_and_Improvement_Using_Soft_Biometric_Traits/links/02bfe50d46b635ff13000000.pdf"]}, {"id": "be7444c891caf295d162233bdae0e1c79791d566", "title": "Face Recognition Performance under Aging", "year": "2017", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/DebBestRowdenJain_FaceRecognitionPerformanceUnderAging_CVPRW17.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Deb_Face_Recognition_Performance_CVPR_2017_paper.pdf", "http://www.vislab.ucr.edu/Biometrics2017/program_slides/CVPR2017_Lacey_v2.pdf"]}, {"id": "9e28243f047cc9f62a946bf87abedb65b0da0f0a", "title": "Can We Minimize the Influence Due to Gender and Race in Age Estimation?", "year": "2013", "pdf": []}, {"id": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"]}, {"id": "1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6", "title": "Demographic Estimation from Face Images: Human vs. Machine Performance", "year": "2015", "pdf": ["http://cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf", "http://www.cse.msu.edu/~liuxm/publication/Han_Otto_Liu_Jain_TPAMI14.pdf"]}, {"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf"]}, {"id": "197eaa59a003a4c7cc77c1abe0f99d942f716942", "title": "Web image mining towards universal age estimator", "year": "2009", "pdf": []}, {"id": "28aa89b2c827e5dd65969a5930a0520fdd4a3dc7", "title": "CHARACTERIZATION AND CLASSIFICATION OF FACES ACROSS AGE PROGRESSION by Narayanan Ramanathan", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/28aa/89b2c827e5dd65969a5930a0520fdd4a3dc7.pdf"]}, {"id": "b47a3c909ee9b099854619054fd00e200b944aa9", "title": "Deeply-Learned Feature for Age Estimation", "year": "2015", "pdf": []}, {"id": "1e1e66783f51a206509b0a427e68b3f6e40a27c8", "title": "Semi-supervised estimation of perceived age from face images", "year": "2010", "pdf": []}, {"id": "362ba8317aba71c78dafca023be60fb71320381d", "title": "Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/KangHanJainLee_NighttimeFRatLargeStandoff_P.R.2014.pdf"]}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": []}, {"id": "3dce635ce4b55fb63fc6d41b38640403b152a048", "title": "The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children", "year": "2018", "pdf": []}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": []}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": []}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": []}, {"id": "1ae3a26a985fe525b23f080a9e1041ecff0509ad", "title": "A Comparative Study of Statistical Conversion of Face to Voice Based on Their Subjective Impressions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1ae3/a26a985fe525b23f080a9e1041ecff0509ad.pdf"]}, {"id": "f67a73c9dd1e05bfc51219e70536dbb49158f7bc", "title": "A Gaussian Mixture Model for Classifying the Human Age using DWT and Sammon Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f67a/73c9dd1e05bfc51219e70536dbb49158f7bc.pdf"]}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": []}, {"id": "f214bcc6ecc3309e2efefdc21062441328ff6081", "title": "Speaker verification in score-ageing-quality classification space", "year": "2013", "pdf": ["http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf", "http://www.researchgate.net/profile/Finnian_Kelly/publication/257267643_Speaker_verification_in_score-ageing-quality_classification_space/links/0f317532b07efcaf77000000.pdf"]}, {"id": "8c5cf18c456957c63248245791f44a685e832345", "title": "Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets", "year": "2015", "pdf": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Rothe_DEX_Deep_EXpectation_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01229.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/105213/eth-48173-01.pdf"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"]}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": []}, {"id": "b034cc919af30e96ee7bed769b93ea5828ae361b", "title": "Soft-Margin Mixture of Regressions", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Soft-Margin_Mixture_of_CVPR_2017_paper.pdf", "http://www.ca.cs.cmu.edu/sites/default/files/08099915.pdf"]}, {"id": "b1bb517bd87a1212174033fc786b2237844b04e6", "title": "Cumulative attribute relation regularization learning for human age estimation", "year": "2015", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2015/TQ-Neucom-2015.pdf"]}, {"id": "0a325d70cc381b136a8f4e471b406cda6d27668c", "title": "A flexible hierarchical approach for facial age estimation based on multiple features", "year": "2016", "pdf": ["https://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2016/F1b-PR2016.pdf"]}, {"id": "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "title": "AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/68a2/ee5c5b76b6feeb3170aaff09b1566ec2cdf5.pdf"]}, {"id": "5058a7ec68c32984c33f357ebaee96c59e269425", "title": "A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5058/a7ec68c32984c33f357ebaee96c59e269425.pdf"]}, {"id": "3edb0fa2d6b0f1984e8e2c523c558cb026b2a983", "title": "Automatic Age Estimation Based on Facial Aging Patterns", "year": "2007", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tpami07.pdf", "http://cse.seu.edu.cn/PersonalPage/xgeng/files/tpami07.pdf", "http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": ["http://sergioescalera.com/wp-content/uploads/2017/05/APPA-REAL-Slides.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01362.pdf"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"]}, {"id": "59fe66eeb06d1a7e1496a85f7ffc7b37512cd7e5", "title": "Robust feature encoding for age-invariant face recognition", "year": "2016", "pdf": []}, {"id": "0dd74bbda5dd3d9305636d4b6f0dad85d6e19572", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"]}, {"id": "363e5a0e4cd857e98de72a726ad6f80cea9c50ab", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"]}, {"id": "b3cb91a08be4117d6efe57251061b62417867de9", "title": "Label propagation approach for predicting missing biographic labels in face-based biometric records", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b3cb/91a08be4117d6efe57251061b62417867de9.pdf"]}, {"id": "2cbb4a2f8fd2ddac86f8804fd7ffacd830a66b58", "title": "Age and gender classification using convolutional neural networks", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf", "http://www.openu.ac.il/home/hassner/projects/cnn_agegender/CNN_AgeGenderEstimation.pdf"]}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"]}, {"id": "29ce6b54a87432dc8371f3761a9568eb3c5593b0", "title": "Age Sensitivity of Face Recognition Algorithms", "year": "2013", "pdf": ["https://kar.kent.ac.uk/43222/1/Yatie_EST2013_vfinal.pdf"]}, {"id": "49e1aa3ecda55465641b2c2acc6583b32f3f1fc6", "title": "Support Vector Machine for age classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/49e1/aa3ecda55465641b2c2acc6583b32f3f1fc6.pdf"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"]}, {"id": "5b9d9f5a59c48bc8dd409a1bd5abf1d642463d65", "title": "An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5b9d/9f5a59c48bc8dd409a1bd5abf1d642463d65.pdf"]}, {"id": "2bbbbe1873ad2800954058c749a00f30fe61ab17", "title": "Face Verification across Ages Using Self Organizing Map", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2bbb/be1873ad2800954058c749a00f30fe61ab17.pdf"]}, {"id": "60ce4a9602c27ad17a1366165033fe5e0cf68078", "title": "Combination of Face Regions in Forensic Scenarios.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_JFO_FaceRegionFusion_Tome.pdf", "http://atvs.ii.uam.es/files/2015_JFO_FaceRegionFusion_Tome.pdf"]}, {"id": "a01f9461bc8cf8fe40c26d223ab1abea5d8e2812", "title": "Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a01f/9461bc8cf8fe40c26d223ab1abea5d8e2812.pdf"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"]}, {"id": "7c8adb2fa156b119a1f576652c39fb06e4e19675", "title": "Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03268.pdf"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": []}, {"id": "15f3d47b48a7bcbe877f596cb2cfa76e798c6452", "title": "Automatic face analysis tools for interactive digital games", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/15f3/d47b48a7bcbe877f596cb2cfa76e798c6452.pdf"]}, {"id": "812d3f6975f4cb87e9905ef18696c5c779227634", "title": "A novel comparative deep learning framework for facial age estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/812d/3f6975f4cb87e9905ef18696c5c779227634.pdf"]}, {"id": "35e4b6c20756cd6388a3c0012b58acee14ffa604", "title": "Gender Classification in Large Databases", "year": "2012", "pdf": ["https://acceda.ulpgc.es:8443/bitstream/10553/15085/5/C082_LNCS_CIARP12_postprint.pdf"]}, {"id": "6d91da37627c05150cb40cac323ca12a91965759", "title": "Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02806.pdf"]}, {"id": "28715fc79bd5ff8dd8b6fc68a4f2641e5d1b8a08", "title": "Deep Label Distribution Learning for Apparent Age Estimation", "year": "2015", "pdf": ["http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/gaobb/Pub_files/iccvw15_AGE_slide.pdf", "http://lamda.nju.edu.cn/weixs/publication/iccvw15_AGE.pdf", "http://lamda.nju.edu.cn/weixs/slide/iccvw15_AGE_slide.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Huo_Deep_Age_Distribution_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Yang_Deep_Label_Distribution_ICCV_2015_paper.pdf", "https://cs.nju.edu.cn/wujx/paper/LaP_ICCV2015_24.pdf"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": []}, {"id": "7d20c8afb1815205bd696c0dd2e4dbcc66ab4d31", "title": "Ordinal Deep Feature Learning for Facial Age Estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Ordinal%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "d3d71a110f26872c69cf25df70043f7615edcf92", "title": "Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition", "year": "2015", "pdf": ["https://www.cise.ufl.edu/~dihong/assets/07094272.pdf"]}, {"id": "c05a7c72e679745deab9c9d7d481f7b5b9b36bdd", "title": "Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c05a/7c72e679745deab9c9d7d481f7b5b9b36bdd.pdf"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"]}, {"id": "7c11fa4fd91cb57e6e216117febcdd748e595760", "title": "Discriminant Feature Manifold for Facial Aging Estimation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Hui_Fang2/publication/220932407_Discriminant_Feature_Manifold_for_Facial_Aging_Estimation/links/004635214d3e09ab00000000.pdf"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"]}, {"id": "fffefc1fb840da63e17428fd5de6e79feb726894", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"]}, {"id": "a022eff5470c3446aca683eae9c18319fd2406d5", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a022/eff5470c3446aca683eae9c18319fd2406d5.pdf"]}, {"id": "67d7022462c98e6c5de9f2254b46f0b8d3b92089", "title": "Facial image database mining and classification analysis using different distance metrics", "year": "2017", "pdf": []}, {"id": "59cdafed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1", "title": "Classification of Age Estimation based on Neural Networks Features by using Data mining", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/59cd/afed4eeb8ff7c9bb2d4ecd0edeb8a361ffc1.pdf"]}, {"id": "c398684270543e97e3194674d9cce20acaef3db3", "title": "Chapter 2 Comparative Face Soft Biometrics for Human Identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c398/684270543e97e3194674d9cce20acaef3db3.pdf"]}, {"id": "b7894c1f805ffd90ab4ab06002c70de68d6982ab", "title": "A comprehensive age estimation on face images using hybrid filter based feature extraction", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5e87/06fab62a5716c30a245e5963f51793e1d0ed.pdf"]}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"]}, {"id": "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "title": "Selecting discriminative CLBP patterns for age estimation", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_9.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "e7b6887cd06d0c1aa4902335f7893d7640aef823", "title": "Modeling of facial aging and kinship: A survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04636.pdf"]}, {"id": "72c0c8deb9ea6f59fde4f5043bff67366b86bd66", "title": "Age progression in Human Faces : A Survey", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/72c0/c8deb9ea6f59fde4f5043bff67366b86bd66.pdf"]}, {"id": "37eb666b7eb225ffdafc6f318639bea7f0ba9a24", "title": "Age , Gender and Race Estimation from Unconstrained Face Images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/37eb/666b7eb225ffdafc6f318639bea7f0ba9a24.pdf"]}, {"id": "574751dbb53777101502419127ba8209562c4758", "title": "Gender classification from unaligned facial images using support subspaces", "year": "2013", "pdf": ["http://ochoa.pc.cs.cmu.edu/wschu/papers/doc/ins13-gender.pdf"]}, {"id": "8cffe360a05085d4bcba111a3a3cd113d96c0369", "title": "Learning universal multi-view age estimator using video context", "year": "2011", "pdf": []}, {"id": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"]}, {"id": "75650bfc20036d99314f7ddae8f2baecde3d57e2", "title": "Concave Losses for Robust Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.00659.pdf"]}, {"id": "c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8", "title": "Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Zheng_Age_Estimation_Guided_CVPR_2017_paper.pdf"]}, {"id": "4aeb87c11fb3a8ad603311c4650040fd3c088832", "title": "Self-paced Mixture of Regressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4aeb/87c11fb3a8ad603311c4650040fd3c088832.pdf"]}, {"id": "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "title": "A new facial age estimation method using centrally overlapped block based local texture features", "year": "2017", "pdf": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": []}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": []}, {"id": "79581c364cefe53bff6bdd224acd4f4bbc43d6d4", "title": "Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.06838.pdf"]}, {"id": "f4251e02f87ac3fcae70bdb313f13ed16ff6ff0a", "title": "Identification using face regions: application and assessment in forensic scenarios.", "year": "2013", "pdf": ["http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTome.pdf", "http://atvs.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "http://audias.ii.uam.es/files/2013FSI_FacialRegions_PTomeInPress.pdf", "https://repositorio.uam.es/bitstream/handle/10486/663052/identification_tome_FSI_2013_ps.pdf?sequence=1"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"]}, {"id": "362a70b6e7d55a777feb7b9fc8bc4d40a57cde8c", "title": "A partial least squares based ranker for fast and accurate age estimation", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0002792.pdf"]}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"]}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": []}, {"id": "3d94f81cf4c3a7307e1a976dc6cb7bf38068a381", "title": "Data-Dependent Label Distribution Learning for Age Estimation", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/tip17_age.pdf"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"]}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "year": "2017", "pdf": []}, {"id": "1b27ca161d2e1d4dd7d22b1247acee5c53db5104", "title": "Facial soft biometric features for forensic face recognition.", "year": "2015", "pdf": ["http://atvs.ii.uam.es/audias/files/2015_FSI_ForensicFacialFeat_PTome_final.pdf", "https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"]}, {"id": "4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d", "title": "A proposed method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": []}, {"id": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"]}, {"id": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"]}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": []}, {"id": "0fc5c6f06e40014a56f492172f44c073d269e95c", "title": "Genetic and evolutionary biometrics: Exploring value preference space for hybrid feature weighting and selection", "year": "2013", "pdf": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"]}, {"id": "dfabe7ef245ca68185f4fcc96a08602ee1afb3f7", "title": "Group-aware deep feature learning for facial age estimation", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Group-aware%20deep%20feature%20learning%20for%20facial%20age%20estimation.pdf"]}, {"id": "bc6de183cd8b2baeebafeefcf40be88468b04b74", "title": "Age Group Recognition using Human Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e057/e713301e089887295543226b79b534fdd145.pdf"]}, {"id": "d4288daef6519f6852f59ac6b85e21b8910f2207", "title": "Recurrent Face Aging with Hierarchical AutoRegressive Memory.", "year": "2018", "pdf": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", "year": "2013", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapers/BMIface2013.pdf", "http://www.csee.wvu.edu/~gdguo/myPapers/BMIface2013.pdf"]}, {"id": "744d23991a2c48d146781405e299e9b3cc14b731", "title": "Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection", "year": "2016", "pdf": ["http://www.cise.ufl.edu/~dihong/assets/LPS2016.pdf"]}, {"id": "9329523dc0bd4e2896d5f63cf2440f21b7a16f16", "title": "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"]}, {"id": "e0423788eb91772de9d708a17799179cf3230d63", "title": "Age Classification Using an Optimized CNN Architecture", "year": "2017", "pdf": []}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"]}, {"id": "469ee1b00f7bbfe17c698ccded6f48be398f2a44", "title": "SURVEy : Techniques for Aging Problems in Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/469e/e1b00f7bbfe17c698ccded6f48be398f2a44.pdf"]}, {"id": "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "title": "Review on the effects of age, gender, and race demographics on automatic face recognition", "year": "2017", "pdf": []}, {"id": "c29fe5ed41d2240352fcb8d8196eb2f31d009522", "title": "Age estimation with dynamic age range", "year": "2015", "pdf": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"]}, {"id": "df674dc0fc813c2a6d539e892bfc74f9a761fbc8", "title": "An Image Mining System for Gender Classification & Age Prediction Based on Facial Features", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/df67/4dc0fc813c2a6d539e892bfc74f9a761fbc8.pdf"]}, {"id": "b22f5f0929704752a16d0f65f00a5161a059d8e3", "title": "On soft biometrics", "year": "2015", "pdf": ["http://vbn.aau.dk/files/219488771/on_softbiometrics_preprint.pdf"]}, {"id": "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "title": "Age Regression Based on Local Image Features", "year": "2010", "pdf": []}, {"id": "0b4c4ea4a133b9eab46b217e22bda4d9d13559e6", "title": "MORF: Multi-Objective Random Forests for face characteristic estimation", "year": "2015", "pdf": ["http://www.micc.unifi.it/publications/2015/DKBD15/PID3774829.pdf", "http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_morph_random_forests.pdf"]}, {"id": "0f112e49240f67a2bd5aaf46f74a924129f03912", "title": "Age-Invariant Face Recognition", "year": "2010", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/ParkTongJain_AgeInvariantFaceRecognition_PAMI10.pdf", "http://www.asmgroup.edu.in/incon/publication/incon13-it-042.pdf", "http://www.svcl.ucsd.edu/~nikux/age/Age%20Invariant%20Face%20Recognition.pdf"]}, {"id": "ac26166857e55fd5c64ae7194a169ff4e473eb8b", "title": "Personalized Age Progression with Bi-Level Aging Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.01039.pdf"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"]}, {"id": 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Laplacian: An interactive image segmentation approach using eigenfunctions", "year": "2015", "pdf": ["http://ahmed-taha.com/wp-content/uploads/2015/09/icip2015_presentation.pdf"]}, {"id": "b1369e4785dd0b23f89ca76f45468049c8667863", "title": "1 DARTS : Deceiving Autonomous Cars with Toxic Signs", "year": "2018", "pdf": []}, {"id": "065f05c9cb2a6080191851dd82cd9b439a77499a", "title": "Comparing Boosted Cascades to Deep Learning Architectures for Fast and Robust Coconut Tree Detection in Aerial Images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/065f/05c9cb2a6080191851dd82cd9b439a77499a.pdf"]}, {"id": "12ff1c48f5776fda9d156c7b324af3f2674420a9", "title": "Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/12ff/1c48f5776fda9d156c7b324af3f2674420a9.pdf"]}, {"id": "cb4fc4d49783f2049c48a062169f04eb744443ec", "title": "Paying More Attention to Saliency: Image Captioning with 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"http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "year": "2014", "pdf": []}, {"id": "065eb1ac981cbb422d8e22d51d416807e612df0f", "title": "Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Premachandran_Empirical_Minimum_Bayes_2014_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~dbatra/papers/ptb_cvpr14.pdf", "https://www.cc.gatech.edu/~dbatra/papers/ptb_cvpr14.pdf"]}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"]}, {"id": "810eafc9e854ea9b1d7a9e9f755f8102310d5db6", "title": "Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02257.pdf"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"]}, {"id": "e6e5949464c38ecea94c3c295ea65220bc19f338", "title": "BOP: Benchmark for 6D Object Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08319.pdf"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"]}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": []}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "year": "2015", "pdf": []}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"]}, {"id": "2a70068b2da3c75632e2896a2da567a5f3b35231", "title": "Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w41/Andrew_Visual_Localisation_and_ICCV_2017_paper.pdf", "https://research-information.bristol.ac.uk/files/127299906/Tilo_Burghardt_Visual_Localisation_and_Individual_Identification_of_Helstein_Friesian_Cattle_via_Deep_Learning.pdf"]}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"]}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"]}, {"id": "2c0f0b4304e2823df4fe7cf2ac74e06f46d40dcb", "title": "Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study", "year": "2010", "pdf": ["http://lastchance.inf.cs.cmu.edu/alex/itm_yjiang10.pdf", "http://www.researchgate.net/profile/Chong-Wah_Ngo/publication/224079997_Representations_of_Keypoint-Based_Semantic_Concept_Detection_A_Comprehensive_Study/links/0912f50cbe0debcb79000000.pdf", "http://www.yugangjiang.info/publication/itm_yjiang.pdf"]}, {"id": "576ffe2304aba0b799b4d3b8880f4b5a244ece5f", "title": "Learning Class-to-Image Distance with Object Matchings", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a795.pdf", "http://www.cs.sfu.ca/~gza11/personal/research/om_cvpr13.pdf", "http://www.cs.sfu.ca/~mori/research/papers/zhou-cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Learning_Class-to-Image_Distance_2013_CVPR_paper.pdf"]}, {"id": "42832bcb36ee3f69327c38d0d17e6e2a73aaa2a6", "title": "SUN Database: Exploring a Large Collection of Scene Categories", "year": "2014", "pdf": ["http://cvcl.mit.edu/Papers/SUN-IJCV2014.pdf", "http://vision.cs.princeton.edu/projects/2010/SUN/paperIJCV.pdf", "http://vision.princeton.edu/projects/2010/SUN/paperIJCV.pdf"]}, {"id": "20a0b23741824a17c577376fdd0cf40101af5880", "title": "Learning to Track for Spatio-Temporal Action Localization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.01929.pdf"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"]}, {"id": "3dba6c86541aad3ec8f54c55d57eca9aa98f4ed2", "title": "PAC-Bayesian Majority Vote for Late Classifier Fusion", "year": "2012", "pdf": ["https://arxiv.org/pdf/1207.1019.pdf"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"]}, {"id": "02534fabd5ffbb98d1c09581eb410e29bec9da01", "title": "Fast Vehicle Detection in Aerial Imagery.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08666.pdf"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"]}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "year": "2013", "pdf": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"]}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"]}, {"id": "1b8b9332886ea661e5a46bb87118956f1f4c15f3", "title": "Temporal Hallucinating for Action Recognition with Few Still Images", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1664-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Temporal_Hallucinating_for_CVPR_2018_paper.pdf"]}, {"id": "ca05fadeb6e0d3414fd21870320545be4582e408", "title": "Deep Part-Based Generative Shape Model with Latent Variables", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/da8d/06e424c1abbb266147d23be460c53880401f.pdf"]}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"]}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"]}, {"id": "0199150ccad6479eac9d693a7cc0406935d877a8", "title": "Towards Real-Time Accurate Object Detection in Both Images and Videos Based on Dual Refinement.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08638.pdf"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"]}, {"id": "2e62b4f2f5a8e6c1bf6a21ebb860c40463d72917", "title": "Adversarial background augmentation improves object localisation using convolutional neural networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2e62/b4f2f5a8e6c1bf6a21ebb860c40463d72917.pdf"]}, {"id": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": []}, {"id": "4893ce89df7afde71534af9b9fd5becb947f112e", "title": "Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11375.pdf"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"]}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "year": "2013", "pdf": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"]}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"]}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": []}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "year": "2016", "pdf": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"]}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"]}, {"id": "e251714d84e018fa2ec0c8c9948b9ece40613140", "title": "Multilayer feature combination for visual tracking", "year": "2015", "pdf": []}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.pdf"]}, {"id": "b61b4eb2e28b9cf35578498e1bbcc35ec0a07651", "title": "Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cholakkal_Backtracking_ScSPM_Image_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cholakkal_Backtracking_ScSPM_Image_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cholakkal_Backtracking_ScSPM_Image_CVPR_2016_paper.pdf"]}, {"id": "833ada09759039b7c620b8930a50a0521d70b2c7", "title": "Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09960.pdf"]}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "year": "2016", "pdf": []}, {"id": "f6f4d887fb62d33a9a18cbb7bc58bd6247384a35", "title": "People detection in crowded scenes using hierarchical features", "year": "2017", "pdf": []}, {"id": "7a81967598c2c0b3b3771c1af943efb1defd4482", "title": "Do We Need More Training Data?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01508.pdf"]}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"]}, {"id": "f0418d8029323e37e14ccf2e2a7143e197fb36e4", "title": "Robust tracking via weighted online extreme learning machine", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10211.pdf"]}, {"id": "f542d59ce3f2ae32404046416fb7dbb1d5c0c336", "title": "Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w31/Sock_Multi-View_6D_Object_ICCV_2017_paper.pdf"]}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"]}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"]}, {"id": "259f0699d7e4066966a38860ad3227fe123d1660", "title": "Convolutional Neural Networks for joint object detection and pose estimation: A comparative study.", "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.7190.pdf"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": []}, {"id": "7ca600523495b3d6c9addf26cd89d3bd23ce4cf3", "title": "ReDMark : Framework for Residual Diffusion Watermarking based on Deep Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7ca6/00523495b3d6c9addf26cd89d3bd23ce4cf3.pdf"]}, {"id": "ab1719f573a6c121d7d7da5053fe5f12de0182e7", "title": "Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ab17/19f573a6c121d7d7da5053fe5f12de0182e7.pdf"]}, {"id": 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"year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ac5c/93b789bdd557b90ce77221f1c01ead63041f.pdf"]}, {"id": "12fd613bc68101176d8fdf1b28d4d6fb3e3fec6f", "title": "Training a Scene-Specific Pedestrian Detector Using Tracklets", "year": "2015", "pdf": ["http://web.mst.edu/~yinz/Papers/WACV2015_SceneSpecificPedestrianDetector.pdf"]}, {"id": "89fff8387432878db240a044a98ff9c9200f3197", "title": "Learning Globally Optimized Object Detector via Policy Gradient", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Rao_Learning_Globally_Optimized_CVPR_2018_paper.pdf"]}, {"id": "d6684b382bed96f7ad84087f9b8f81753065ecf3", "title": "Matrix factorization for co-training algorithm to classify human rights abuses", "year": "2018", "pdf": []}, {"id": "7d96ecb24b3d8595267365cfc9878d46280f1e8c", "title": "End-to-end steering angle prediction and object detection using convolutional neural networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d96/ecb24b3d8595267365cfc9878d46280f1e8c.pdf"]}, {"id": "ddfdc4bf9fe440926e5e80909d444316fb7bc694", "title": "UvA-DARE ( Digital Academic Repository ) Selective Search for Object Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ddfd/c4bf9fe440926e5e80909d444316fb7bc694.pdf"]}, {"id": "b46f96ee1ef0c7b31e5cec9abc60aa5f77fe4245", "title": "Literature Review on Real Time People Tracking in a Camera Network", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b46f/96ee1ef0c7b31e5cec9abc60aa5f77fe4245.pdf"]}, {"id": "29d94f275b1483f575c05b90464994ecfa86e27f", "title": "A Passive Learning Sensor Architecture for Multimodal Image Labeling: An Application for Social Robots", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29d9/4f275b1483f575c05b90464994ecfa86e27f.pdf"]}, {"id": "7c3e09e0bd992d3f4670ffacb4ec3a911141c51f", "title": "Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00162.pdf"]}, {"id": "f1a0010f588a41682c1efd770541c4c381949d88", "title": "VisGraB: A benchmark for vision-based grasping", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f1a0/010f588a41682c1efd770541c4c381949d88.pdf"]}, {"id": "a67d54cf585c9491ab8a3e2d58d9c4b223359602", "title": "Spatial information and end-to-end learning for visual recognition. (Informations spatiales et apprentissage bout-en-bout pour la reconnaissance visuelle)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fda4/1c4b51e5a10d2e07dc67beb9f3375a43fa51.pdf"]}, {"id": "f3f7df3315fcb8d651efaa85ce59b82c4f46cc08", "title": "Object detection for big data", "year": "2014", "pdf": []}, {"id": "981449cdd5b820268c0876477419cba50d5d1316", "title": "Learning Deep Features for One-Class Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05365.pdf"]}, {"id": "427c24c75128412166326e2afda1e3cd5a35a16a", "title": "A Survey of Research on Cloud Robotics and Automation", "year": "2015", "pdf": ["http://goldberg.berkeley.edu/pubs/T-ASE-Cloud-RA-Survey-Paper-Final-2015.pdf", "http://rll.berkeley.edu/~sachin/papers/Kehoe-TASE2015a.pdf", "http://www-users.cselabs.umn.edu/classes/Spring-2015/csci8980/papers/CloudRobotics/cloud_robotics_survey.pdf", "http://www.cs.berkeley.edu/~pabbeel/papers/2014_TASE_cloud_robotics_survey.pdf", "http://www.docum-enter.com/get/H3LgmYsUIxL6Gt8YqpZpPqOtCsTQyXohukkVTxw58zc,/IEEE-TRANSACTIONS-ON-AUTOMATION-SCIENCE.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt3t04p9m1/qt3t04p9m1.pdf?t=o6m2d0", "https://people.eecs.berkeley.edu/~pabbeel/papers/2015-TASE-cloud-robotics-survey.pdf"]}, {"id": "7bf694a54c7c94a32d85ae6018a558c817b2ceee", "title": "Transductive Transfer Learning to Specialize a Generic Classifier Towards a Specific Scene", "year": "2016", "pdf": ["http://www.scitepress.org/Papers/2016/57251/57251.pdf"]}, {"id": "9595fa763c4f1d92c604a131cfc624b9edbd8b02", "title": "Integral Histogram Image Computing For Parallel Hardware Architecture", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9595/fa763c4f1d92c604a131cfc624b9edbd8b02.pdf"]}, {"id": "a81165542cdf04e2e1bf4572f42a468b14b4d3b3", "title": "Webly Supervised Semantic Segmentation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Jin_Webly_Supervised_Semantic_CVPR_2017_paper.pdf", "https://infoscience.epfl.ch/record/227361/files/2017-CVPR-1333_final-Bin.pdf"]}, {"id": "4c5a07ab1700a67afaf16fc9a7a2647f51358255", "title": "DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.05484.pdf"]}, {"id": "4cea60c30d404abfd4044a6367d436fa6f67bb89", "title": "ConTagNet: Exploiting User Context for Image Tag Recommendation", "year": "2016", "pdf": []}, {"id": "7feff9a8f31520310ce99ffd591178feacdd98bb", "title": "Confidence-Rated Multiple Instance Boosting for Object Detection", "year": "2014", "pdf": ["http://karimali.org/publications/AS_CVPR14.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Ali_Confidence-Rated_Multiple_Instance_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ali_Confidence-Rated_Multiple_Instance_2014_CVPR_paper.pdf", "http://www.karimali.org/publications/AS_CVPR14.pdf"]}, {"id": "abeda55a7be0bbe25a25139fb9a3d823215d7536", "title": "Understanding Human-Centric Images: From Geometry to Fashion", "year": "2015", "pdf": ["https://arxiv.org/pdf/1604.08164.pdf"]}, {"id": "e22979cdf147a63be74f3816ef59ef11f3508919", "title": "Learning Image Representations by Completing Damaged Jigsaw Puzzles", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01880.pdf"]}, {"id": "3981997df8613efd955a8f48a0eb97249bfced41", "title": "A Robust Appearance Model for Object Tracking", "year": "2016", "pdf": []}, {"id": "53f0b39c88f3973f74f65455d0d77dfe6feede84", "title": "Fine-grained sketch-based image retrieval by matching deformable part models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53f0/b39c88f3973f74f65455d0d77dfe6feede84.pdf"]}, {"id": "167c058b008c358ce5a3cd298c5859ffea441e51", "title": "The role of context in image annotation and recommendation", "year": "2016", "pdf": 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"31ac2acbc16ae0e7d4ff2ef0f283cdcb21641709", "title": "An Animal Detection Pipeline for Identification", "year": "2018", "pdf": []}, {"id": "0f4fce9385f1d383ac27e9d43f03cc45d10584f8", "title": "Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data", "year": "2014", "pdf": []}, {"id": "6a8a3b27a78c78bc80984fca29554de3269d34d3", "title": "Speeding-Up Object Detection Training for Robotics with FALKON", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08740.pdf"]}, {"id": "8850a9748da6579b939ab9f1aa705b7886c4417b", "title": "Serving Self Loading Video Composition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8850/a9748da6579b939ab9f1aa705b7886c4417b.pdf"]}, {"id": "3c94f3380206bf4f53a6d971f9195d3811fab8f5", "title": "Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09796.pdf"]}, {"id": "e25e07cfd0818a499033caf9d7aa8ef4feec981b", "title": "Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e25e/07cfd0818a499033caf9d7aa8ef4feec981b.pdf"]}, {"id": "399f321089a3a35ddf0e92435dfc374cbcc3dbbd", "title": "A Novel Approach for Automatic Standing Upper Body Extraction Based on Skin Detection and Anthropometric Constraint from Single Image", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/399f/321089a3a35ddf0e92435dfc374cbcc3dbbd.pdf"]}, {"id": "1552548a1020a90744dad335bf18032b483dc852", "title": "Efficient Object Recognition Using Sampling of Keypoint Triples and Keygraph Structure", "year": "2016", "pdf": []}, {"id": "c95cd791ad0cb0a08cb39e987f725eabe3a08648", "title": "Are all objects equal? Deep spatio-temporal importance prediction in driving videos", "year": "2017", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/areall.pdf", "http://cvrr.ucsd.edu/publications/2017/eshed_all_objects_2017.pdf", "https://eshed1.github.io/papers/areall.pdf"]}, {"id": "f75a4f6f852f282336cb0803475edacf3397f485", "title": "A New Data Transformation Method Based on Adaptive Binarization for Bag-of-Features Model", "year": "2009", "pdf": []}, {"id": "386a5c06d334d20227e8b2daf5433a2bef385648", "title": "Cross and Learn: Cross-Modal Self-Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03879.pdf"]}, {"id": "4f4f646b65921850b7812a376fc2ac5ff806b1c8", "title": "Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03413.pdf"]}, {"id": "d58516957d376e1e682130825efd74a8d34e81d6", "title": "Pedestrian Detection Using Thermal Imaging for Night Driving Assistance", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d585/16957d376e1e682130825efd74a8d34e81d6.pdf"]}, {"id": "dff1e32111bf0c4ed659ece19f5be2fcfd528b4d", "title": "From sample selection to model update: A robust online visual tracking algorithm against drifting", "year": "2016", "pdf": []}, {"id": "4cfe0a11f11a2b8f9d16c4226280774de9a43f07", "title": "Can Object Detectors Aid Internet Video Event Retrieval ?", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4cfe/0a11f11a2b8f9d16c4226280774de9a43f07.pdf"]}, {"id": "5eac16cf7551d2968bc2d73200883dca0b5f7f13", "title": "Combining complementary kernels in complex visual categorization", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5eac/16cf7551d2968bc2d73200883dca0b5f7f13.pdf"]}, {"id": "366595171c9f4696ec5eef7c3686114fd3f116ad", "title": "Algorithms and Representations for Visual Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3665/95171c9f4696ec5eef7c3686114fd3f116ad.pdf"]}, {"id": "e91ea0179977bd295751c6436f385fb3fe1ca3ff", "title": "Pointwise and pairwise clothing annotation: combining features from social media", "year": "2015", "pdf": []}, {"id": "02b8e7e8724359e4a830b001914a8ba54046fbd2", "title": "Efficient 2D and 3D Facade Segmentation Using Auto-Context", "year": "2018", "pdf": ["https://arxiv.org/pdf/1606.06437.pdf"]}, {"id": "0874a262c2ec7082658cbfc55892ec6e5ca6a374", "title": "CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.00434.pdf"]}, {"id": "4ecaa651722a98c2847377f3ae1c70294b4791ce", "title": "Few-Example Object Detection with Model Communication.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.08249.pdf"]}, {"id": "90dd6e7051a2dd8639d6f2d9f7b02acb43eb94c7", "title": "BlitzNet: A Real-Time Deep Network for Scene Understanding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02813.pdf"]}, {"id": "36968feec92887682858d9aa58ab1c98d90c13da", "title": "A region-centered topic model for object discovery and category-based image segmentation", "year": "2013", "pdf": ["https://e-archivo.uc3m.es/bitstream/handle/10016/21534/region_PR_2013_ps.pdf;jsessionid=95E48306A0DD57937AD6A5B96BF057FE?sequence=1"]}, {"id": "151b6c519c77cda9ff5542fecee166a166e0928f", "title": "Mobile Applications Scene Text Recognition by Character Descriptor and Structure Configuration", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/151b/6c519c77cda9ff5542fecee166a166e0928f.pdf"]}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"]}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"]}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": 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"http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"]}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": []}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"]}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"]}, {"id": "697646fafee79fc1df05417cf39dad2a7732d270", "title": "Where computer vision needs help from computer science", "year": "2011", "pdf": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"]}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "year": "2014", "pdf": 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Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"]}, {"id": "8209445ce555d166580159ee18059fa41c0433cd", "title": "Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.03154.pdf"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"]}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", 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"http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"]}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"]}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": 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"http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"]}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"]}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f541/dac9d0d49cadb3cfd018e87b26e03e3f13aa.pdf"]}, {"id": "77830a8d2e6fed5678f91dbc9a0a278c3f051266", "title": "SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition", "year": "2012", "pdf": ["http://agamenon.tsc.uah.es/Investigacion/gram/publications/cvpr2012-lopez.pdf", "http://agamenon.tsc.uah.es/Personales/rlopez/docs/lopez2012-cvpr.pdf"]}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"]}, {"id": "f2828ae81327276407504caab558c13362439476", "title": "Modeling , Representing and Learning of Visual Categories", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f282/8ae81327276407504caab558c13362439476.pdf"]}, {"id": "6c9f45c76b4f96fe66d8e1d7b31f89b7cc6caa44", "title": "DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10295.pdf"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"]}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"]}, {"id": "b2f63863e73a8565895ca3d9d7d6a1e10a7695b1", "title": "Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b2f6/3863e73a8565895ca3d9d7d6a1e10a7695b1.pdf"]}, {"id": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"]}, {"id": "3b570499c39cfdadc306039e58ef460f139f59d0", "title": "Part-based Visual Tracking via Structural Support Correlation Filter", "year": 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["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"]}, {"id": "4be10db13a9210e078d78a4a072c569d9bbd9939", "title": "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.06098.pdf"]}, {"id": "8cded4bbe4202ee81c2b75ebe27f839c87b0755e", "title": "Objectness to improve the bag of visual words model", "year": "2014", "pdf": []}, {"id": "11a3084768f035c824662a85a348f02466693d2a", "title": "Lifting Object Detection Datasets into 3D", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.06465.pdf"]}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"]}, {"id": "75a66e636021bcfde447135ba9a9ed893d3bc436", "title": "Using Visual Saliency to Improve Human Detection with Convolutional Networks", "year": "2018", "pdf": []}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"]}, {"id": "361b19d2c00d086fa8ef860374f5e1d862fd2f30", "title": "Learning to Refine Object Segments", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.08695.pdf"]}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": []}, {"id": "8ba686c99684c6be46988ed3ab1003312c2fbf80", "title": "A non-temporal texture driven approach to real-time fire detection", "year": "2011", "pdf": ["http://breckon.eu/toby/publications/papers/chenebert11fire.pdf", "https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/7588/Real-time_fire_detection-2011.pdf;jsessionid=BFF4BCF2CC5EF353D82416490C8E1B85?sequence=1"]}, {"id": "39149c51c5ab3442b43b8d19eca704efde450f51", "title": "Unsupervised object discovery and localization in the wild: Part-based matching with 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"3f0b0ffe315ee111fc028561ec4ecf2c93f94a05", "title": "Pose Normalization Network for Object Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3f0b/0ffe315ee111fc028561ec4ecf2c93f94a05.pdf"]}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"]}, {"id": "236db916e2c73eccfe8821110274affcc9b54360", "title": "From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/533d/7b1875bd2f8b0656aaba0d6b5a035f0280d8.pdf"]}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": []}, {"id": "87f9a4ff64fb4ab9b066203f360c0b676a9e5a6b", "title": "Composed complex-cue histograms: An investigation of the information content in receptive field based image descriptors for object recognition", "year": "2012", "pdf": ["http://www.nada.kth.se/~tony/LinLin12-CVIU.pdf", "http://www.researchgate.net/profile/Tony_Lindeberg/publication/220135455_Composed_complex-cue_histograms_An_investigation_of_the_information_content_in_receptive_field_based_image_descriptors_for_object_recognition/links/0fcfd50420f7864d60000000.pdf", "https://pdfs.semanticscholar.org/87f9/a4ff64fb4ab9b066203f360c0b676a9e5a6b.pdf"]}, {"id": "76bcd8cce40892aee1bc46de17a3b803373172d9", "title": "A 58 . 6 mW 30 fps Real-Time Programmable Multi-Object Detection Accelerator with Deformable Parts Models on Full HD 1920", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6734/a3d0325474be381d5c7872b7aed25ea68a49.pdf"]}, {"id": "d88d43504f2be7e26ab1ec731dfc8af6e407aa59", "title": "Model-based Optical Flow: Layers, Learning, and Geometry", "year": "2017", "pdf": 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"https://hal.archives-ouvertes.fr/hal-00976387/file/Liris-6293.pdf"]}, {"id": "c1e53c31202d7c9512857d4dd73a8e6d05a48849", "title": "An Improved Faster R-CNN for Same Object Retrieval", "year": "2017", "pdf": []}, {"id": "a74b045f28670e8f85173e0e483581520d667f02", "title": "Object tracking using Langevin Monte Carlo particle filter and locality sensitive histogram based likelihood model", "year": "2018", "pdf": []}, {"id": "2d15a7546c16d5821ffa8f769eb7ec18e435e64d", "title": "Recognition in Terra Incognita", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04975.pdf"]}, {"id": "66586f1d755362f485f25acfc60153c2a5ed1533", "title": "A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images", "year": "2018", "pdf": []}, {"id": "81ea29bde0216e41420c4591bebb800142fa3269", "title": "Learning Active Learning from Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03365.pdf"]}, {"id": "8d74fbd46f9d5d615e350c4593cbc5b5ca63fa8b", "title": "Data driven visual tracking via representation learning and online multi-class LPBoost learning", "year": "2016", "pdf": []}, {"id": "9452d029f5d140aece06619b6fd8e47b070cacd1", "title": "Urban classification by pixel and object-based approaches for very high resolution imagery", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9452/d029f5d140aece06619b6fd8e47b070cacd1.pdf"]}, {"id": "47c31fd5edce58007df1b61dd671283722047da4", "title": "Decomposition, discovery and detection of visual categories using topic models", "year": "2008", "pdf": ["http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/463.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/463.pdf", "http://www.icsi.berkeley.edu/pubs/vision/decompositiondiscover08.pdf", "https://scalable.mpi-inf.mpg.de/files/2013/04/fritz08cvpr.pdf"]}, {"id": "ed62a56b81511d7fcf6d247014987163d9668982", "title": "\"What happens if...\" Learning to Predict the Effect of Forces in 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"0f8f9253c81fd90fe44d474cc185d4ae2487e5b4", "title": "NYC3DCars: A Dataset of 3D Vehicles in Geographic Context", "year": "2013", "pdf": ["http://nyc3d.cs.cornell.edu/static/paper.pdf", "http://www.cs.cornell.edu/~snavely/publications/papers/nyc3dcars_iccv13.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Matzen_NYC3DCars_A_Dataset_2013_ICCV_paper.pdf"]}, {"id": "be2d326fa588b4ffd1d8d3d4408ae680e1a26277", "title": "JOURNA A Survey on Modern Era \u2019 s Online Object Tracking Algorithms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/be2d/326fa588b4ffd1d8d3d4408ae680e1a26277.pdf"]}, {"id": "a228ba020bd321d29ab24485cb2988a62707fd64", "title": "Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study", "year": "2013", "pdf": ["https://engineering.purdue.edu/RVL/Publications/Srivastava2013.pdf"]}, {"id": "3e9d04b62d3469fb155e02c1f30b8900381e1419", "title": "Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05756.pdf"]}, {"id": "5c45a1abc51fe059987bcfba19b1d5076a8d9afb", "title": "Autonomous Object Category Learning for Service Robots Using Internet Resources", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5c45/a1abc51fe059987bcfba19b1d5076a8d9afb.pdf"]}, {"id": "c9d73438bf5e66bd0c4f512c5a4e53c3e33e721e", "title": "Adding spatial distribution clue to aggregated vector in image retrieval", "year": "2018", "pdf": ["https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0247-0?site=jivp-eurasipjournals.springeropen.com"]}, {"id": "64c1158a4061882d610f1cffd5ddb1e8fc9a74b4", "title": "Gated Feedback Refinement Network for Dense Image Labeling", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Islam_Gated_Feedback_Refinement_CVPR_2017_paper.pdf", "http://www.cs.umanitoba.ca/~ywang/papers/cvpr17.pdf"]}, {"id": "02e5372e439c09f8a8ce8c4784b044ce116ca11c", "title": "DeepCorrect: Correcting DNN models against Image Distortions", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02406.pdf"]}, {"id": "451ed51346fe2e6c5de2dbf29733711b31f5fd68", "title": "Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05573.pdf"]}, {"id": "b12c9773c6d948d36698666ec351a78c449c0d06", "title": "Figure-Aware Tracking under Occlusion from Monocular Videos", "year": "2014", "pdf": []}, {"id": "c3c4f0caf1b42b6466306360c4ebe16f66489df0", "title": "Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11266.pdf"]}, {"id": "a85e287343379eb80793345bbff733cbc128a5bc", "title": "Improving a Real-Time Object Detector with Compact Temporal Information", "year": "2017", "pdf": ["http://vbn.aau.dk/files/272717858/ahrnbom_jensen_etal_iccvw2_17.pdf", "http://www2.maths.lth.se/vision/publdb/reports/pdf/ahrnbom-jensen-etal-iccvw2-17.pdf"]}, {"id": "182c91f619e0b7a8cd2120139d530750aa0b85a7", "title": "Compressing the Input for CNNs with the First-Order Scattering Transform", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10200.pdf"]}, {"id": "b87eeb3b873d27c68a5a1cdfd9409c14db352d92", "title": "Hierarchical Cellular Automata for Visual Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.09425.pdf"]}, {"id": "37b9ea1bf5b6ce8ecb656628af3933c64c632c2b", "title": "Transfer Learning for 3 D LiDAR-based Human Classification with a Mobile Robot", "year": "2018", "pdf": []}, {"id": "7af667b6c1b4b32f513dd70fe3ef36fcf344a741", "title": "A transfer learning based approach for automated grading of Gliomas using deep Residual Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7af6/67b6c1b4b32f513dd70fe3ef36fcf344a741.pdf"]}, {"id": "3b304585d5af0afe98a85d6e0559315fbf3a7807", "title": "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", "year": "2013", "pdf": ["http://welcome.isr.ist.utl.pt/img/pdfs/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf", "http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/2999_2013_IbPRIA_Taiana_Nascimento_Bernardino.pdf"]}, {"id": "81763bb718dc6630be210c056a250b1c2ed57fd7", "title": "3D Semantic Parsing of Large-Scale Indoor Spaces", "year": "2016", "pdf": ["http://buildingparser.stanford.edu/images/CVPR_2016_poster.pdf", "http://buildingparser.stanford.edu/images/supp_mat.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"]}, {"id": "80ab008243b5a61c8a74a0a3e2aaf702b1f906b3", "title": "Ship detection for automating navigational watch", "year": "2014", "pdf": []}, {"id": "065eb1ac981cbb422d8e22d51d416807e612df0f", "title": "Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Premachandran_Empirical_Minimum_Bayes_2014_CVPR_paper.pdf", "https://filebox.ece.vt.edu/~dbatra/papers/ptb_cvpr14.pdf", "https://www.cc.gatech.edu/~dbatra/papers/ptb_cvpr14.pdf"]}, {"id": "f79c4bf83371627ba139b61eb427463b93cd687b", "title": "Learning from Few Examples for Visual Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f79c/4bf83371627ba139b61eb427463b93cd687b.pdf"]}, {"id": "d23ac99cdab20a9a3eca2784a5b262649c717988", "title": "Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02753.pdf"]}, {"id": "810eafc9e854ea9b1d7a9e9f755f8102310d5db6", "title": "Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02257.pdf"]}, {"id": "10d3f77225eca1d576268ba84ed83f230a5e47c4", "title": "Crafting a multi-task CNN for viewpoint estimation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.03894.pdf"]}, {"id": "dcb6f06631021811091ce691592b12a237c12907", "title": "SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection", "year": "2018", "pdf": []}, {"id": "c7780cff11068fecb322a43e459c56267a88aee7", "title": "DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion", "year": "2017", "pdf": []}, {"id": "581fb0f0405c7f0e60610d88ceaceb9af44d8569", "title": "Final Report : Smart Trash Net : Waste Localization and Classification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581f/b0f0405c7f0e60610d88ceaceb9af44d8569.pdf"]}, {"id": "e6e5949464c38ecea94c3c295ea65220bc19f338", "title": "BOP: Benchmark for 6D Object Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08319.pdf"]}, {"id": "a43f460f6c1abbe8eb0097594df6eafc0f651d49", "title": "Saliency-based object recognition in video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a43f/460f6c1abbe8eb0097594df6eafc0f651d49.pdf"]}, {"id": "c23734cf46af7c299b72089e5cbc0e50b833e434", "title": "Edge color transform: a new operator for natural scene text localization", "year": "2017", "pdf": []}, {"id": "4ff486644be5e451784d6ae83f8073c8320fa974", "title": "Visual Tracking with Convolutional Neural Network", "year": "2015", "pdf": []}, {"id": "e545f1c06799bfd2bd5f7eaed085fd60a388202f", "title": "A top-down manner-based DCNN architecture for semantic image segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e545/f1c06799bfd2bd5f7eaed085fd60a388202f.pdf"]}, {"id": "55f7699e768457d40c5232448cdca4503db2821b", "title": "Temporal consistency object tracker with ranking mechanism", "year": "2015", "pdf": []}, {"id": "4e4f2c4d2ea47636ca2ab795770d6b3214640f37", "title": "Efficient Maximum Appearance Search for Large-Scale Object Detection", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/qiangcvpr2013_final.pdf", "http://rogerioferis.com/publications/ChenCVPR2013.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d190.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Efficient_Maximum_Appearance_2013_CVPR_paper.pdf"]}, {"id": "2a70068b2da3c75632e2896a2da567a5f3b35231", "title": "Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w41/Andrew_Visual_Localisation_and_ICCV_2017_paper.pdf", "https://research-information.bristol.ac.uk/files/127299906/Tilo_Burghardt_Visual_Localisation_and_Individual_Identification_of_Helstein_Friesian_Cattle_via_Deep_Learning.pdf"]}, {"id": "2284ba28bd3b1afaf06afb8c2a94638e350b3ecb", "title": "Boosting Object Proposals: From Pascal to COCO", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Pont-Tuset_Boosting_Object_Proposals_ICCV_2015_paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01226.pdf"]}, {"id": "b31f37fd71b7b45e6fd8978960e271a7db1ee212", "title": "DICTING IMAGE ROTATIONS", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b31f/37fd71b7b45e6fd8978960e271a7db1ee212.pdf"]}, {"id": "2c0f0b4304e2823df4fe7cf2ac74e06f46d40dcb", "title": "Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study", "year": "2010", "pdf": ["http://lastchance.inf.cs.cmu.edu/alex/itm_yjiang10.pdf", "http://www.researchgate.net/profile/Chong-Wah_Ngo/publication/224079997_Representations_of_Keypoint-Based_Semantic_Concept_Detection_A_Comprehensive_Study/links/0912f50cbe0debcb79000000.pdf", "http://www.yugangjiang.info/publication/itm_yjiang.pdf"]}, {"id": "576ffe2304aba0b799b4d3b8880f4b5a244ece5f", "title": "Learning Class-to-Image Distance with Object Matchings", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a795.pdf", "http://www.cs.sfu.ca/~gza11/personal/research/om_cvpr13.pdf", "http://www.cs.sfu.ca/~mori/research/papers/zhou-cvpr13.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhou_Learning_Class-to-Image_Distance_2013_CVPR_paper.pdf"]}, {"id": "42832bcb36ee3f69327c38d0d17e6e2a73aaa2a6", "title": "SUN Database: Exploring a Large Collection of Scene Categories", "year": "2014", "pdf": ["http://cvcl.mit.edu/Papers/SUN-IJCV2014.pdf", "http://vision.cs.princeton.edu/projects/2010/SUN/paperIJCV.pdf", "http://vision.princeton.edu/projects/2010/SUN/paperIJCV.pdf"]}, {"id": "20a0b23741824a17c577376fdd0cf40101af5880", "title": "Learning to Track for Spatio-Temporal Action Localization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.01929.pdf"]}, {"id": "71f7be73a575f3689b0137446289d02462e1c5b0", "title": "Adaptive Multi-Scale Information Flow for Object Detection.", "year": "2018", "pdf": ["http://bmvc2018.org/contents/papers/0266.pdf"]}, {"id": "eacb95e81156c48f4ff7470567ba205225170fa7", "title": "Learning Aerial Image Segmentation From Online Maps", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06879.pdf"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"]}, {"id": "92990ef7866ca906b595e2841e340725fb3ff8da", "title": "Generating Synthetic Data for Text Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.04224.pdf"]}, {"id": "3dba6c86541aad3ec8f54c55d57eca9aa98f4ed2", "title": "PAC-Bayesian Majority Vote for Late Classifier Fusion", "year": "2012", "pdf": ["https://arxiv.org/pdf/1207.1019.pdf"]}, {"id": "af9cc1767f50f63291d7ca9ab709f6849cd1e46c", "title": "Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/af9c/c1767f50f63291d7ca9ab709f6849cd1e46c.pdf"]}, {"id": "02534fabd5ffbb98d1c09581eb410e29bec9da01", "title": "Fast Vehicle Detection in Aerial Imagery.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.08666.pdf"]}, {"id": "ceee9ba72a021ae5604db04a93fdcff421d60216", "title": "Encoder Based Lifelong Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.01920.pdf"]}, {"id": "feaedf4b24f8d7673c59659cadd4237c2a1dbc90", "title": "A large-scale solar image dataset with labeled event regions", "year": "2013", "pdf": []}, {"id": "c4a0e89793961dc486964802df55ae73fbba60ee", "title": "Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Theagarajan_Soccer_Who_Has_CVPR_2018_paper.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2018/FINAL-published-soccer-ball-generating.pdf"]}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"]}, {"id": "1114c2aba97a5782a48341817811df2438d0fdbf", "title": "Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"]}, {"id": "1b8b9332886ea661e5a46bb87118956f1f4c15f3", "title": "Temporal Hallucinating for Action Recognition with Few Still Images", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1664-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Temporal_Hallucinating_for_CVPR_2018_paper.pdf"]}, {"id": "ca05fadeb6e0d3414fd21870320545be4582e408", "title": "Deep Part-Based Generative Shape Model with Latent Variables", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/da8d/06e424c1abbb266147d23be460c53880401f.pdf"]}, {"id": "7b3a63d030d03e536ddcbc217bc8d6fd630e3b53", "title": "xView: Objects in Context in Overhead Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.07856.pdf"]}, {"id": "b9b21cfa7de32677151571ab44d27d2d246b7a03", "title": "Towards Explanation of DNN-based Prediction with Guided Feature Inversion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00506.pdf"]}, {"id": "5950512e21114236208b9eaeebc9a09735e367a6", "title": "Master research Internship Internship report Segmentation and recognition of symbols for printed and handwritten music scores", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5950/512e21114236208b9eaeebc9a09735e367a6.pdf"]}, {"id": "4152d2c8585f7e3f85d3b3d84036171de104cbd7", "title": "Rethinking ImageNet Pre-training", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08883.pdf"]}, {"id": "0199150ccad6479eac9d693a7cc0406935d877a8", "title": "Towards Real-Time Accurate Object Detection in Both Images and Videos Based on Dual Refinement.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08638.pdf"]}, {"id": "eb2ab9caa61b021c1cd7aff6d08163768faba99e", "title": "Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/eb2a/b9caa61b021c1cd7aff6d08163768faba99e.pdf"]}, {"id": "2e62b4f2f5a8e6c1bf6a21ebb860c40463d72917", "title": "Adversarial background augmentation improves object localisation using convolutional neural networks", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2e62/b4f2f5a8e6c1bf6a21ebb860c40463d72917.pdf"]}, {"id": "d2e8efaa0d095c22455fe4eab260f94994bfb116", "title": "Stand-alone quality estimation of background subtraction algorithms", "year": "2017", "pdf": []}, {"id": "4893ce89df7afde71534af9b9fd5becb947f112e", "title": "Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11375.pdf"]}, {"id": "1a1654456decd116f4ca84c98006dfda0a8a3134", "title": "INTEGRATED VISUAL INFORMATION FOR MARITIME SURVEILLANCE", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1a16/54456decd116f4ca84c98006dfda0a8a3134.pdf"]}, {"id": "e9d82ae7530e605c03440d362d78663c4af0edb6", "title": "Object Detection Using Color Entropies and a Fuzzy Classifier", "year": "2013", "pdf": []}, {"id": "4a6049e1926cc8e574301cfb229599cdc0a64e62", "title": "Characterizing the performance of an image-based recognizer for planar mechanical linkages in textbook graphics and hand-drawn sketches", "year": "2015", "pdf": ["http://vdel.me.cmu.edu/publications/2015cag/paper.pdf"]}, {"id": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"]}, {"id": "c96f012f4915398259e7e223810c57898b5e1a76", "title": "Fast LIDAR-based Road Detection Using Convolutional Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c96f/012f4915398259e7e223810c57898b5e1a76.pdf"]}, {"id": "1281e443d2cf1c1dd71ed3b7b0376d408d0958af", "title": "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks", "year": "2015", "pdf": ["http://www.cs.cornell.edu/~xhuang/publications/salicon_poster.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_SALICON_Reducing_the_ICCV_2015_paper.pdf"]}, {"id": "e295c1aa47422eb35123053038e62e9aa50a2e3a", "title": "ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"]}, {"id": "b4df58f1fd8a3bd0815e7fb957f7f07fddd77338", "title": "Rethinking the sGLOH Descriptor", "year": "2018", "pdf": ["http://cvg.dsi.unifi.it/colombo_now/CC/Public/sGLOH2_TPAMI_2017.pdf"]}, {"id": "2e1f0b522014c942197e51b556eeb48b6ad66cda", "title": "Automatic object classification using motion blob based local feature fusion for traffic scene surveillance", "year": "2012", "pdf": []}, {"id": "36aa5dd816553ba2e666d2a4b7d2f346e4b56be2", "title": "Variable scale and anti-occlusion object tracking method with multiple feature integration", "year": "2016", "pdf": []}, {"id": "1e5edbd39b4c61f785515e117a74e2d280aefbe7", "title": "The urrent tate and TRL ssessment of eople racking echnology for ideo urveillance pplications", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1e5e/dbd39b4c61f785515e117a74e2d280aefbe7.pdf"]}, {"id": "a01c7eec51fa901b2526325f563480c152c58ee5", "title": "Contour Box: Rejecting Object Proposals without Explicit Closed Contours", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf", "http://www.cse.cuhk.edu.hk/leojia/papers/contour_iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Contour_Box_Rejecting_ICCV_2015_paper.pdf"]}, {"id": "e251714d84e018fa2ec0c8c9948b9ece40613140", "title": "Multilayer feature combination for visual tracking", "year": "2015", "pdf": []}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.pdf"]}, {"id": "b61b4eb2e28b9cf35578498e1bbcc35ec0a07651", "title": "Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cholakkal_Backtracking_ScSPM_Image_CVPR_2016_paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/supplemental/Cholakkal_Backtracking_ScSPM_Image_2016_CVPR_supplemental.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cholakkal_Backtracking_ScSPM_Image_CVPR_2016_paper.pdf"]}, {"id": "833ada09759039b7c620b8930a50a0521d70b2c7", "title": "Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09960.pdf"]}, {"id": "87c2e267fadac9d4f4f694125eb86eaaf7121797", "title": "Fine tuning CNNS with scarce training data \u2014 Adapting imagenet to art epoch classification", "year": "2016", "pdf": ["https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/ICIP2016-hentschel.pdf"]}, {"id": "cda356a979c0a57e1051830551f657db249e3c45", "title": "Architecture for Dynamic Allocation of Computer Vision Tasks", "year": "2016", "pdf": []}, {"id": "f6f4d887fb62d33a9a18cbb7bc58bd6247384a35", "title": "People detection in crowded scenes using hierarchical features", "year": "2017", "pdf": []}, {"id": "7a81967598c2c0b3b3771c1af943efb1defd4482", "title": "Do We Need More Training Data?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01508.pdf"]}, {"id": "2cea306754ed83eaf1d0433abbfb05b5a4c4cf48", "title": "BIG-OH: BInarization of gradient orientation histograms", "year": "2014", "pdf": ["http://vgl-ait.org/mdailey/uploads/publication_file/filename/110/Baber-BIG-OH.pdf"]}, {"id": "f0418d8029323e37e14ccf2e2a7143e197fb36e4", "title": "Robust tracking via weighted online extreme learning machine", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10211.pdf"]}, {"id": "f542d59ce3f2ae32404046416fb7dbb1d5c0c336", "title": "Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w31/Sock_Multi-View_6D_Object_ICCV_2017_paper.pdf"]}, {"id": "7142e659d6466717cdb8a242d8e34fce176b3f4a", "title": "Improved scene identification and object detection on egocentric vision of daily activities", "year": "2017", "pdf": ["http://crcv.ucf.edu/news&info/DefenseBooklet_FA17.pdf", "http://crcv.ucf.edu/papers/cviu2016-gonzalo.pdf", "http://vision.eecs.ucf.edu/papers/cviu2016-gonzalo.pdf"]}, {"id": "34072c31c2c778df471c9f0c43ba6198dfd0db32", "title": "Arbitrary Category Classification of Websites Based on Image Content", "year": "2015", "pdf": ["http://users.ics.aalto.fi/juha/papers/ELM2014.pdf", "http://www.engineering.uiowa.edu/sites/default/files/files/newpaper.pdf"]}, {"id": "3e00dd86c084d8680409c65c1a48f1b3aa864eb7", "title": "Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1801.02439.pdf"]}, {"id": "259f0699d7e4066966a38860ad3227fe123d1660", "title": "Convolutional Neural Networks for joint object detection and pose estimation: A comparative study.", "year": "2014", "pdf": ["https://arxiv.org/pdf/1412.7190.pdf"]}, {"id": "ec6f1a4b9367675833f0111c44a22ba217fcbd23", "title": "Visual Tracking via Constrained Incremental Non-negative Matrix Factorization", "year": "2015", "pdf": []}, {"id": "7ca600523495b3d6c9addf26cd89d3bd23ce4cf3", "title": "ReDMark : Framework for Residual Diffusion Watermarking based on Deep Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7ca6/00523495b3d6c9addf26cd89d3bd23ce4cf3.pdf"]}, {"id": "ab1719f573a6c121d7d7da5053fe5f12de0182e7", "title": "Combining visual recognition and computational linguistics : linguistic knowledge for visual recognition and natural language descriptions of visual content", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ab17/19f573a6c121d7d7da5053fe5f12de0182e7.pdf"]}, {"id": "2901da4464c1ec652eebd0155f23b9c8a82e2fe8", "title": "Tropel: Crowdsourcing Detectors with Minimal Training", "year": "2015", "pdf": ["http://cs.brown.edu/people/gen/pub_papers/patterson_hcomp2015.pdf", "http://cs.brown.edu/~gen/pub_papers/patterson_hcomp2015.pdf"]}, {"id": "3de3c479164312ab3a1795ee84f20c16632c04c4", "title": "Scalable Deep Learning Logo Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11417.pdf"]}, {"id": "1287bfe73e381cc8042ac0cc27868ae086e1ce3b", "title": "Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1287/bfe73e381cc8042ac0cc27868ae086e1ce3b.pdf"]}, {"id": "4ad75b110b52d1cc44e76664bab42e9e49eb95b2", "title": "Localizing scene texts by fuzzy inference systems and low rank matrix recovery model", "year": "2016", "pdf": []}, {"id": "ac5c93b789bdd557b90ce77221f1c01ead63041f", "title": "Robust People Detection using Computer Vision Spring Term 2013", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ac5c/93b789bdd557b90ce77221f1c01ead63041f.pdf"]}, {"id": "12fd613bc68101176d8fdf1b28d4d6fb3e3fec6f", "title": "Training a Scene-Specific Pedestrian Detector Using Tracklets", "year": "2015", "pdf": ["http://web.mst.edu/~yinz/Papers/WACV2015_SceneSpecificPedestrianDetector.pdf"]}, {"id": "89fff8387432878db240a044a98ff9c9200f3197", "title": "Learning Globally Optimized Object Detector via Policy Gradient", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Rao_Learning_Globally_Optimized_CVPR_2018_paper.pdf"]}, {"id": "d6684b382bed96f7ad84087f9b8f81753065ecf3", "title": "Matrix factorization for co-training algorithm to classify human rights abuses", "year": "2018", "pdf": []}, {"id": "7d96ecb24b3d8595267365cfc9878d46280f1e8c", "title": "End-to-end steering angle prediction and object detection using convolutional neural networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7d96/ecb24b3d8595267365cfc9878d46280f1e8c.pdf"]}, {"id": "ddfdc4bf9fe440926e5e80909d444316fb7bc694", "title": "UvA-DARE ( Digital Academic Repository ) Selective Search for Object Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/ddfd/c4bf9fe440926e5e80909d444316fb7bc694.pdf"]}, {"id": "b46f96ee1ef0c7b31e5cec9abc60aa5f77fe4245", "title": "Literature Review on Real Time People Tracking in a Camera Network", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/b46f/96ee1ef0c7b31e5cec9abc60aa5f77fe4245.pdf"]}, {"id": "29d94f275b1483f575c05b90464994ecfa86e27f", "title": "A Passive Learning Sensor Architecture for Multimodal Image Labeling: An Application for Social Robots", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29d9/4f275b1483f575c05b90464994ecfa86e27f.pdf"]}, {"id": "7c3e09e0bd992d3f4670ffacb4ec3a911141c51f", "title": "Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.00162.pdf"]}, {"id": "f1a0010f588a41682c1efd770541c4c381949d88", "title": "VisGraB: A benchmark for vision-based grasping", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f1a0/010f588a41682c1efd770541c4c381949d88.pdf"]}, {"id": "4cf329b2a09eac0c55ec0eb8fdd5ef9c997ec27b", "title": "Principal texture direction based block level image reordering and use of color edge features for application of object based image retrieval", "year": "2018", "pdf": []}, {"id": "a67d54cf585c9491ab8a3e2d58d9c4b223359602", "title": "Spatial information and end-to-end learning for visual recognition. (Informations spatiales et apprentissage bout-en-bout pour la reconnaissance visuelle)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fda4/1c4b51e5a10d2e07dc67beb9f3375a43fa51.pdf"]}, {"id": "f3f7df3315fcb8d651efaa85ce59b82c4f46cc08", "title": "Object detection for big data", "year": "2014", "pdf": []}, {"id": "981449cdd5b820268c0876477419cba50d5d1316", "title": "Learning Deep Features for One-Class Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05365.pdf"]}, {"id": "427c24c75128412166326e2afda1e3cd5a35a16a", "title": "A Survey of Research on Cloud Robotics and Automation", "year": "2015", "pdf": ["http://goldberg.berkeley.edu/pubs/T-ASE-Cloud-RA-Survey-Paper-Final-2015.pdf", "http://rll.berkeley.edu/~sachin/papers/Kehoe-TASE2015a.pdf", "http://www-users.cselabs.umn.edu/classes/Spring-2015/csci8980/papers/CloudRobotics/cloud_robotics_survey.pdf", "http://www.cs.berkeley.edu/~pabbeel/papers/2014_TASE_cloud_robotics_survey.pdf", "http://www.docum-enter.com/get/H3LgmYsUIxL6Gt8YqpZpPqOtCsTQyXohukkVTxw58zc,/IEEE-TRANSACTIONS-ON-AUTOMATION-SCIENCE.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt3t04p9m1/qt3t04p9m1.pdf?t=o6m2d0", "https://people.eecs.berkeley.edu/~pabbeel/papers/2015-TASE-cloud-robotics-survey.pdf"]}, {"id": "7bf694a54c7c94a32d85ae6018a558c817b2ceee", "title": "Transductive Transfer Learning to Specialize a Generic Classifier Towards a Specific Scene", "year": "2016", "pdf": ["http://www.scitepress.org/Papers/2016/57251/57251.pdf"]}, {"id": "9595fa763c4f1d92c604a131cfc624b9edbd8b02", "title": "Integral Histogram Image Computing For Parallel Hardware Architecture", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9595/fa763c4f1d92c604a131cfc624b9edbd8b02.pdf"]}, {"id": "a81165542cdf04e2e1bf4572f42a468b14b4d3b3", "title": "Webly Supervised Semantic Segmentation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Jin_Webly_Supervised_Semantic_CVPR_2017_paper.pdf", "https://infoscience.epfl.ch/record/227361/files/2017-CVPR-1333_final-Bin.pdf"]}, {"id": "4c5a07ab1700a67afaf16fc9a7a2647f51358255", "title": "DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.05484.pdf"]}, {"id": "4cea60c30d404abfd4044a6367d436fa6f67bb89", "title": "ConTagNet: Exploiting User Context for Image Tag Recommendation", "year": "2016", "pdf": []}, {"id": "7feff9a8f31520310ce99ffd591178feacdd98bb", "title": "Confidence-Rated Multiple Instance Boosting for Object Detection", "year": "2014", "pdf": ["http://karimali.org/publications/AS_CVPR14.pdf", "http://openaccess.thecvf.com/content_cvpr_2014/papers/Ali_Confidence-Rated_Multiple_Instance_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ali_Confidence-Rated_Multiple_Instance_2014_CVPR_paper.pdf", "http://www.karimali.org/publications/AS_CVPR14.pdf"]}, {"id": "abeda55a7be0bbe25a25139fb9a3d823215d7536", "title": "Understanding Human-Centric Images: From Geometry to Fashion", "year": "2015", "pdf": ["https://arxiv.org/pdf/1604.08164.pdf"]}, {"id": "e22979cdf147a63be74f3816ef59ef11f3508919", "title": "Learning Image Representations by Completing Damaged Jigsaw Puzzles", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.01880.pdf"]}, {"id": "3981997df8613efd955a8f48a0eb97249bfced41", "title": "A Robust Appearance Model for Object Tracking", "year": "2016", "pdf": []}, {"id": "53f0b39c88f3973f74f65455d0d77dfe6feede84", "title": "Fine-grained sketch-based image retrieval by matching deformable part models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/53f0/b39c88f3973f74f65455d0d77dfe6feede84.pdf"]}, {"id": "167c058b008c358ce5a3cd298c5859ffea441e51", "title": "The role of context in image annotation and recommendation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/167c/058b008c358ce5a3cd298c5859ffea441e51.pdf"]}, {"id": "13cfaf55ca5241d3cc7e8553e5800839292ed699", "title": "Collaborative object tracking model with local sparse representation", "year": "2014", "pdf": []}, {"id": "239ee313cc75c01fb658ebf86183e366c21ab253", "title": "Im2Flow: Motion Hallucination from Static Images for Action Recognition", "year": "2018", "pdf": []}, {"id": "22dfc98d9641ac008043cad987a13f9d63ad8418", "title": "Video Scene Change Detection Using Convolution Neural Network", "year": "2017", "pdf": []}, {"id": "f7dcadc5288653ec6764600c7c1e2b49c305dfaa", "title": "Interactive Image Search with Attributes by", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f7dc/adc5288653ec6764600c7c1e2b49c305dfaa.pdf"]}, {"id": "84f911432ba8a3356013b3abfbf1947f1145c953", "title": "Online Object Tracking with Proposal Selection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.09114.pdf"]}, {"id": 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Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e25e/07cfd0818a499033caf9d7aa8ef4feec981b.pdf"]}, {"id": "399f321089a3a35ddf0e92435dfc374cbcc3dbbd", "title": "A Novel Approach for Automatic Standing Upper Body Extraction Based on Skin Detection and Anthropometric Constraint from Single Image", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/399f/321089a3a35ddf0e92435dfc374cbcc3dbbd.pdf"]}, {"id": "1552548a1020a90744dad335bf18032b483dc852", "title": "Efficient Object Recognition Using Sampling of Keypoint Triples and Keygraph Structure", "year": "2016", "pdf": []}, {"id": "c95cd791ad0cb0a08cb39e987f725eabe3a08648", "title": "Are all objects equal? Deep spatio-temporal importance prediction in driving videos", "year": "2017", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/areall.pdf", "http://cvrr.ucsd.edu/publications/2017/eshed_all_objects_2017.pdf", "https://eshed1.github.io/papers/areall.pdf"]}, {"id": "f75a4f6f852f282336cb0803475edacf3397f485", "title": "A New Data Transformation Method Based on Adaptive Binarization for Bag-of-Features Model", "year": "2009", "pdf": []}, {"id": "386a5c06d334d20227e8b2daf5433a2bef385648", "title": "Cross and Learn: Cross-Modal Self-Supervision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03879.pdf"]}, {"id": "4f4f646b65921850b7812a376fc2ac5ff806b1c8", "title": "Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03413.pdf"]}, {"id": "d58516957d376e1e682130825efd74a8d34e81d6", "title": "Pedestrian Detection Using Thermal Imaging for Night Driving Assistance", "year": "2014", "pdf": 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region-centered topic model for object discovery and category-based image segmentation", "year": "2013", "pdf": ["https://e-archivo.uc3m.es/bitstream/handle/10016/21534/region_PR_2013_ps.pdf;jsessionid=95E48306A0DD57937AD6A5B96BF057FE?sequence=1"]}, {"id": "151b6c519c77cda9ff5542fecee166a166e0928f", "title": "Mobile Applications Scene Text Recognition by Character Descriptor and Structure Configuration", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/151b/6c519c77cda9ff5542fecee166a166e0928f.pdf"]}, {"id": "4682fee7dc045aea7177d7f3bfe344aabf153bd5", "title": "Tabula rasa: Model transfer for object category detection", "year": "2011", "pdf": ["http://cs.brown.edu/~ls/teaching_CMU_16-824/slides_tz-1.pdf", "http://eprints.pascal-network.org/archive/00008313/01/aytar11.pdf", "http://www.cs.utexas.edu/~cv-fall2012/slides/elad-paper.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/aytar11.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2011/Aytar11/poster.pdf"]}, {"id": "44a3ee0429a6d1b79d431b4d396962175c28ace6", "title": "Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Exploit_All_the_CVPR_2016_paper.pdf", "http://www.nec-labs.com/uploads/images/Department-Images/MediaAnalytics/papers/cvpr16_scaledependentpooling.pdf", "http://www.umiacs.umd.edu/~fyang/papers/cvpr16.pdf"]}, {"id": "54830a1cf8606a5183561357b4004088718e4141", "title": "Deep Watershed Detector for Music Object Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10548.pdf"]}, {"id": "9caa7605c16da42761c8a27327f5f037dbf901fa", "title": "q-Gaussian mixture models for image and video semantic indexing", "year": "2013", "pdf": 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"http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Inferring_Unseen_Views_2014_CVPR_paper.pdf"]}, {"id": "6bcc2b50e32bdbb0c668f75000badf21e6cd0839", "title": "Knowledge Projection for Deep Neural Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.09505.pdf"]}, {"id": "bdfb5f11d497b44b17d0315c3b6892f835723832", "title": "Object Captioning and Retrieval with Natural Language", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.06152.pdf"]}, {"id": "51df7590828e7e6f7f9d38e5cd0cacebb1221837", "title": "L1 Graph Based Sparse Model for Label De-noising", "year": "2016", "pdf": ["http://www.bmva.org/bmvc/2016/papers/paper074/abstract074.pdf", "http://www.bmva.org/bmvc/2016/papers/paper074/paper074.pdf", "https://www.research.ed.ac.uk/portal/files/28312823/chang2016robustDenoise.pdf"]}, {"id": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": 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"http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"]}, {"id": "ba51ce1ec7b18fa808985b919f4a201fe5e4bafb", "title": "Semantic parsing for priming object detection in indoors RGB-D scenes", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ba51/ce1ec7b18fa808985b919f4a201fe5e4bafb.pdf"]}, {"id": "b50156e76ae03a1c0b04cd2076a99b7f2b441506", "title": "An image classification method that considers privacy-preservation", "year": "2016", "pdf": []}, {"id": "1426045c4188f09fec46d0d2f246357a230a1748", "title": "Structured Labels in Random Forests for Semantic Labelling and Object Detection", "year": "2014", "pdf": []}, {"id": "472de7b3c674e8f06702385569779d11b71bc8f2", "title": "Superpixel Coherency and Uncertainty Models for Semantic Segmentation", "year": "2013", 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learning", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7f3b/115dd38a933f3a88e3b20b58862216297d63.pdf"]}, {"id": "13105c611a059b4825bc92ff9778f532b6a849b2", "title": "Compressing Sparse Feature Vectors Using Random Ortho-Projections", "year": "2010", "pdf": ["http://www.ee.oulu.fi/mvg/files/pdf/PID1267977.pdf", "http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/PID1267977.pdf", "http://www.rni.helsinki.fi/~msa/pub/ICPR2010.pdf"]}, {"id": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05462.pdf"]}, {"id": "63ed42249d7cbb21a4b0d42419d42b014ff114eb", "title": "Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights", "year": "2016", "pdf": 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"7c03a0ad5202a6a31ad3b78b11f6b45ecd840616", "title": "Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c03/a0ad5202a6a31ad3b78b11f6b45ecd840616.pdf"]}, {"id": "76f73c884e4437a22afcba60193bbd7f35e64aaf", "title": "Title of dissertation : RESOURCE ALLOCATION IN COMPUTER VISION", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/76f7/3c884e4437a22afcba60193bbd7f35e64aaf.pdf"]}, {"id": "7543cf85a3fb56470b0020c0fc6db45e64f7ae5e", "title": "Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7543/cf85a3fb56470b0020c0fc6db45e64f7ae5e.pdf"]}, {"id": "18ccd8bd64b50c1b6a83a71792fd808da7076bc9", "title": "Object detection and segmentation from joint embedding of parts and pixels", "year": "2011", "pdf": ["http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://ttic.uchicago.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011.pdf", "http://vision.caltech.edu/~mmaire/papers/pdf/seg_obj_iccv2011_slides.pdf", "http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"]}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": []}, {"id": "a13dac9255dd738932f463a8f462c11419f072db", "title": "Use of Generative Adversarial Network for Cross-Domain Change Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.08868.pdf"]}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": []}, {"id": "c11a2501204e9e7c4a53d8a3c87055b2b11c73df", "title": "Adaptive Learning Algorithms for Transferable Visual Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c11a/2501204e9e7c4a53d8a3c87055b2b11c73df.pdf"]}, {"id": "c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": []}, {"id": "aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2", "title": "PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c029/edca476ddda4050c3c67748056c6189cd1e3.pdf"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"]}, {"id": "697646fafee79fc1df05417cf39dad2a7732d270", "title": "Where computer vision needs help from computer science", "year": "2011", "pdf": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"]}, {"id": "f92ceb6875f614bbccb25e4b11ca55353773890f", "title": "Saliency Detection via Boundary Prior and Center Prior", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f92c/eb6875f614bbccb25e4b11ca55353773890f.pdf"]}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"]}, {"id": "7d35fe4f4a932d7598d94d64b72cfa7e6a70286d", "title": "Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7d35/fe4f4a932d7598d94d64b72cfa7e6a70286d.pdf"]}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"]}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.pdf"]}, {"id": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "pdf": []}, {"id": "044ae9738c2445d4fda30fcd6c289eddf8b3add9", "title": "Multiple Instance Learning: A Survey of Problem Characteristics and Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03365.pdf"]}, {"id": "99c37dba394b100ba8f3d895c0ee0e57d5852347", "title": "Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"]}, {"id": "8209445ce555d166580159ee18059fa41c0433cd", "title": "Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.03154.pdf"]}, {"id": "415c0eecce9fde7d1ba9c70bd0bfa5471760c117", "title": "Oriented Object Proposals", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf", "http://www.cs.cityu.edu.hk/~rynson/papers/iccv15.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Oriented_Object_Proposals_ICCV_2015_paper.pdf"]}, {"id": "4ace7c8edd9467c7d5bfa00e942531e7b889e650", "title": "Depth-Based Hand Pose Estimation: Data, Methods, and Challenges", "year": "2015", "pdf": ["http://vision.ics.uci.edu/papers/SupancicRYSR_ICCV_2015/SupancicRYSR_ICCV_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Supancic_Depth-Based_Hand_Pose_ICCV_2015_paper.pdf"]}, {"id": "e502dad3aa196a47ed3cfb727b6b75c65be8a871", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.pdf"]}, {"id": "c2cb4da617168c76c4560a01de8b5e68b5250749", "title": "FineTag: Multi-attribute Classification at Fine-grained Level in Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.07124.pdf"]}, {"id": "94780b00dc2807ec507ae91500b622ec7a8ddb12", "title": "Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06295.pdf"]}, {"id": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": []}, {"id": "a0ae4ffe252f32514240cf6d82d52538de5fb78c", "title": "AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES", "year": "", "pdf": ["https://pdfs.semanticscholar.org/a0ae/4ffe252f32514240cf6d82d52538de5fb78c.pdf"]}, {"id": "4404a99e2f6db3e703609168a3595e0fbdeabc38", "title": "Online Video SEEDS for Temporal Window Objectness", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Van_Den_Bergh_Online_Video_SEEDS_2013_ICCV_paper.pdf", "http://www.mvdblive.org/research/videoseeds.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01056.pdf"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"]}, {"id": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.pdf"]}, {"id": "050e5b4043009e54dff9319877fe947885db2d6e", "title": "Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Lai_Saliency_Guided_Dictionary_CVPR_2016_paper.pdf"]}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": 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by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.pdf"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"]}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"]}, {"id": "7cb4d30b3bfb0d4b02499c15c7c7a9dfddda8049", "title": "Object Tracking using L 1 / L 2 Sparse Coding and Multi Scale Max Pooling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7cb4/d30b3bfb0d4b02499c15c7c7a9dfddda8049.pdf"]}, {"id": "899e7ff67aa2630edc8776758cc5d65823f099c1", "title": "G-CNN: Object Detection via Grid Convolutional Neural Network", "year": "2017", "pdf": []}, {"id": "1c0e8c3fb143eb5eb5af3026eae7257255fcf814", "title": "Weakly Supervised Deep Detection Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.02853.pdf"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": []}, {"id": "32deaec54b9860bb4b81c8c9a64d11b0eea382b8", "title": "Large-Scale Image Segmentation with Convolutional Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/35ea/703bf8a5361a7a8014c7d00adbd9ea0779d9.pdf"]}, {"id": "c85aa12331bdeaba06d4c3e44b969e6060c3310c", "title": "Ensemble of Part Detectors for Simultaneous Classification and Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10034.pdf"]}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.pdf"]}, {"id": "46a1172c784c3741e79781ef2353209b08dbea67", "title": "YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition", "year": "2013", "pdf": ["http://www.cs.utexas.edu/users/ml/papers/guadarrama.iccv13.pdf", "http://www.cs.utexas.edu/users/ml/posters/guadarrama.iccv13.pdf", "http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf", "https://www.cs.utexas.edu/~vsub/pdf/YouTube2Text_Recognizing_and_2013_ICCV_paper.pdf", "https://www.icsi.berkeley.edu/pubs/vision/youtube2text13.pdf"]}, {"id": "14d1a458f49e251cbbab34349e379469300a2bae", "title": "Scene Parsing with Object Instances and Occlusion Ordering", "year": "2014", "pdf": ["http://slazebni.cs.illinois.edu/publications/jtighe-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Tighe_Scene_Parsing_with_2014_CVPR_paper.pdf", "http://wwwx.cs.unc.edu/~mn/sites/default/files/jtighe-cvpr14.pdf"]}, {"id": "f541dac9d0d49cadb3cfd018e87b26e03e3f13aa", "title": "Trio Constrained Adaptive Noise Removal ( TCANR ) Mechanism for Salt and Pepper Noise in Image 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Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.04976.pdf"]}, {"id": "4a8480d58c30dc484bda08969e754cd13a64faa1", "title": "Offline Deformable Face Tracking in Arbitrary Videos", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"]}, {"id": "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "title": "Nystr\u00f6m-based approximate kernel subspace learning", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_PR_NystromNPT.pdf?dl=0"]}, {"id": "19808134b780b342e21f54b60095b181dfc7a600", "title": "SIFTing Through Scales", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/siftscales/HassneretalTPAMI16.pdf"]}, {"id": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary 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"6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": []}, {"id": "bec0c33d330385d73a5b6a05ad642d6954a6d632", "title": "Ranking, clustering and fusing the normalized LBP temporal facial features for face recognition in video sequences", "year": "2017", "pdf": []}, {"id": "88bee9733e96958444dc9e6bef191baba4fa6efa", "title": "Extending Face Identification to Open-Set Face Recognition", "year": "2014", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2014_SIBGRAPI.pdf"]}, {"id": "334d6c71b6bce8dfbd376c4203004bd4464c2099", "title": "Biconvex Relaxation for Semidefinite Programming in Computer Vision", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.09527.pdf"]}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": []}, {"id": "6cba90e81d460bb32188201a2c10622baa55015e", "title": "Approximate kernel extreme learning machine for large scale data classification", "year": "2017", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_NEUCOM_AKELM.pdf?dl=0"]}, {"id": "49df381ea2a1e7f4059346311f1f9f45dd997164", "title": "Client-Specific Anomaly Detection for Face Presentation Attack Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00848.pdf"]}, {"id": "1fbde67e87890e5d45864e66edb86136fbdbe20e", "title": "The Action Similarity Labeling Challenge", "year": "2012", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=29AAC1FEE14BE24B8F85A75F41F8A9CE?doi=10.1.1.400.8877&rep=rep1&type=pdf", "http://www.cs.tau.ac.il/~wolf/papers/aslan.pdf", "http://www.openu.ac.il/home/hassner/data/ASLAN/Papers/ASLAN_TPAMI12.pdf", "http://www.wisdom.weizmann.ac.il/mathusers/kliper/Papers/ASLAN_TPAMI12.pdf"]}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research 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for improving large scale face recognition", "year": "2015", "pdf": []}, {"id": "f294278e03868257bfce132b8cf189359ada915a", "title": "Boosting Face in Video Recognition via CNN Based Key Frame Extraction", "year": "2018", "pdf": ["https://www.clarkson.edu/sites/default/files/2018-03/Boosting%20Face%20in%20Video%20Recognition%20via%20CNN%20based%20Key%20Frame%20Extraction.pdf"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "bb0ecedde7d6e837dc9a5e115302a2aaad1035e1", "title": "Face Verification: Strategies for Employing Deep Models", "year": "2018", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2018/07/Face-Verification-Strategies-for-Employing-Deep-Models.pdf"]}, {"id": "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "title": "On Sifts and Their Scales Lihi Zelnik-manor Technion", "year": "2012", "pdf": 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["http://www.mdpi.com/2073-8994/8/8/75/pdf"]}, {"id": "4e061a302816f5890a621eb278c6efa6e37d7e2f", "title": "Discriminative Deep Metric Learning for Face Verification in the Wild", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hu_Discriminative_Deep_Metric_2014_CVPR_paper.pdf", "https://3d869e85-a-62cb3a1a-s-sites.googlegroups.com/site/elujiwen/CVPR14.pdf?attachauth=ANoY7cqXcG4onAWfE6z3RtN1o7yJJjj84Xhj9a4KV1AHQVir4y8JsL0_F2bmBG-T0OOYhol37g9SbzkXrgL9e5AZ94VegxpIA0wALrnma-TeoHtXboqYql9wwJOV2ctIpuu-rTi1cDqBuOxd_H-hX4cBHJQIXTwCEQJv99mKt9l0Kdt6AU4yPwbDG5S7GpDNwYgwgTACw8N-BpJOIwyW1aJcyhy4xlRrAg%3D%3D&attredirects=1&d=1"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"]}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": []}, {"id": 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"http://www.robots.ox.ac.uk/~vedaldi//assets/pubs/parkhi14compact-presentation.pdf", "http://www.robots.ox.ac.uk/~vedaldi/assets/pubs/parkhi14compact.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2014/Parkhi14/parkhi14.pdf"]}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": []}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", "title": "Multi-manifold metric learning for face recognition based on image sets", "year": "2014", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=08D9040248A65374A3E7B27F6E663DBA?sequence=1", "https://dr.ntu.edu.sg/bitstream/handle/10220/24578/Multi-Manifold%20Metric%20Learning%20for%20Face%20Recognition.pdf;jsessionid=C50050C87423C0F7786F79965EBC3FE4?sequence=1", 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MACHINE PRIORS FOR SEMANTIC LABELING IN IMAGES AND VIDEOS", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/87f2/85782d755eb85d8922840e67ed9602cfd6b9.pdf"]}, {"id": "63cf5fc2ee05eb9c6613043f585dba48c5561192", "title": "Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/63cf/5fc2ee05eb9c6613043f585dba48c5561192.pdf"]}, {"id": "0d3b167b52e9f0bf509e3af003ea320e6070b665", "title": "Two-level algorithm of facial expressions classification on complex background", "year": "2017", "pdf": []}, {"id": "459e840ec58ef5ffcee60f49a94424eb503e8982", "title": "One-shot Face Recognition by Promoting Underrepresented Classes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.05574.pdf"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"]}, {"id": 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Recognition in Smart TV Using Symmetrical Fuzzy-Based Quality Assessment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc91/001f9d299ad70deb6453d55b2c0b967f8c0d.pdf"]}, {"id": "6080f26675e44f692dd722b61905af71c5260af8", "title": "Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.05073.pdf"]}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"]}, {"id": "f61c13c3f842ecd88defbb53e4fab52cb6cb7967", "title": "Fast Kernel Matrix Computation for Big Data Clustering", "year": "2015", "pdf": ["http://ikee.lib.auth.gr/record/270847/files/Procedia.pdf", "http://www.cs.tut.fi/~iosifidi/files/conference/2015_ICCS_FKMC.pdf?dl=0"]}, {"id": 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"http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Chrysos_Offline_Deformable_Face_ICCV_2015_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/paper_offline.pdf"]}, {"id": "c903af0d69edacf8d1bff3bfd85b9470f6c4c243", "title": "Nystr\u00f6m-based approximate kernel subspace learning", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_PR_NystromNPT.pdf?dl=0"]}, {"id": "19808134b780b342e21f54b60095b181dfc7a600", "title": "SIFTing Through Scales", "year": "2017", "pdf": ["http://www.openu.ac.il/home/hassner/projects/siftscales/HassneretalTPAMI16.pdf"]}, {"id": "56dca23481de9119aa21f9044efd7db09f618704", "title": "Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1507.02772.pdf"]}, {"id": "cbca355c5467f501d37b919d8b2a17dcb39d3ef9", "title": "Super-resolution of Very Low Resolution Faces from Videos", "year": "2018", "pdf": 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"08b76e6923eea74ab0ed149811b3144fa21c7c73", "title": "Scalable Laplacian K-modes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13044.pdf"]}, {"id": "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "title": "Explorer Towards a Neural Statistician", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61e6/895782a3ce61bc03d1bb23bced7fa3139ccd.pdf"]}, {"id": "80d4cf7747abfae96328183dd1f84133023c2668", "title": "Face retrieval in face track using sparse representation", "year": "2018", "pdf": []}, {"id": "2348f1fa2940b01ec90e023fac8cc96812189774", "title": "Face verification based on convolutional neural network and deep learning", "year": "2017", "pdf": []}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": []}, {"id": "e13360cda1ebd6fa5c3f3386c0862f292e4dbee4", "title": "Range Loss for Deep Face Recognition with Long-Tailed Training Data", "year": "2016", "pdf": 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