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| author | jules@lens <julescarbon@gmail.com> | 2019-03-28 17:31:11 +0100 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-03-28 17:31:11 +0100 |
| commit | 5309b381e64f59b8f57014ad41e55d7f87ca0628 (patch) | |
| tree | 8747e32ccb265c4996aa84b80032019553e0b16f /site/datasets/unknown | |
| parent | 70bdd4f19b2b03b3e2d5423b2ea9b23be6d067d7 (diff) | |
whew
Diffstat (limited to 'site/datasets/unknown')
94 files changed, 94 insertions, 94 deletions
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"55cfc3c08000f9d21879582c6296f2a864b657e8", "title": "Comparisons of local methods for face alignment", "year": "2016", "pdf": []}, {"id": "87bee0e68dfc86b714f0107860d600fffdaf7996", "title": "Automated 3D Face Reconstruction from Multiple Images Using Quality Measures", "year": "2016", "pdf": ["http://mi.informatik.uni-siegen.de/publications/piotraschke_autoreconst_cvpr16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Piotraschke_Automated_3D_Face_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Piotraschke_Automated_3D_Face_CVPR_2016_paper.pdf"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": []}, {"id": "9282239846d79a29392aa71fc24880651826af72", "title": "Classification of extreme facial events in sign language videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0f3f/d27ba8fd119c51ca14d1e1f154c4bc50a83c.pdf"]}, {"id": "2162654cb02bcd10794ae7e7d610c011ce0fb51b", "title": "Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding", "year": "2014", "pdf": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": []}, {"id": "010c6081a66990ce7754f12dd1b37fc677a7751d", "title": "Facial first impressions from another angle: How social judgements are influenced by changeable and invariant facial properties.", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/102935/1/Sutherland_et_al_accepted_15_June_2016_BJP.pdf"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": []}, {"id": "b36a80d15c3e48870ea6118b855055cc34307658", "title": "Facial 3D Shape Estimation from Images for Visual Speech Animation", "year": "2014", "pdf": []}, {"id": "05487784c1c94e17c26862e342c1b81acfe11258", "title": "Spontaneous facial expression analysis based on temperature changes and head motions", "year": "2015", "pdf": ["http://videolectures.net/site/normal_dl/tag=977246/fgconference2015_liu_head_motions_01.pdf"]}, {"id": "5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4", "title": "Pose-indexed based multi-view method for face alignment", "year": "2016", "pdf": []}, {"id": "02431ed90700d5cfe4e3d3a20f1e97de3e131569", "title": "Finding Actors and Actions in Movies", "year": "2013", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=A668684E950686DFF50E8BA323DC811B?doi=10.1.1.414.5058&rep=rep1&type=pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Bojanowski_Finding_Actors_and_2013_ICCV_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/bojanowski2013finding.pdf", "http://www.di.ens.fr/willow/research/actoraction/bojanowski2013finding_poster.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding.pdf", "http://www.di.ens.fr/~bojanowski/papers/bojanowski13finding_poster.pdf", "http://www.di.ens.fr/~josef/publications/bojanowski13.pdf"]}, {"id": "102b27922e9bd56667303f986404f0e1243b68ab", "title": "Multiscale recurrent regression networks for face alignment", "year": "2017", "pdf": ["https://applied-informatics-j.springeropen.com/track/pdf/10.1186/s40535-017-0042-5?site=applied-informatics-j.springeropen.com"]}, {"id": "529baf1a79cca813f8c9966ceaa9b3e42748c058", "title": "Triangle wise Mapping Technique to Transform one Face Image into Another Face Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6ae7/47cf58eeda0687a3f779aaecfa12403b9684.pdf"]}, {"id": "bcb99d5150d792001a7d33031a3bd1b77bea706b", "title": "Facial Descriptors for Human Interaction Recognition In Still Images", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.05366.pdf"]}, {"id": "1ea21515ddad82f1e85b4c5883b93ea3909019b5", "title": "Histograms of Sparse Codes for Object Detection", "year": "2013", "pdf": ["http://homes.cs.washington.edu/~xren/publication/xren_cvpr13_detection.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d246.pdf", "http://www.csc.kth.se/~azizpour/rg/materials/hossein_008_slides.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ren_Histograms_of_Sparse_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/slides/ren__cvpr2013__histograms__azizpour.pdf", "https://www.cs.cmu.edu/~deva/papers/hsc.pdf"]}, {"id": "69737cf25979bf8d8886f63c44ef5b7c95a066e7", "title": "Real Time Facial Expression Recognition Based on Deep Convolutional Spatial Neural Networks", "year": "2018", "pdf": []}, {"id": "11be33019f591214c8f79dbcb24a50d8f7fa5c95", "title": "Salgan 360 : Visual Saliency Prediction on 360 Degree Images with Generative Adversarial Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/11be/33019f591214c8f79dbcb24a50d8f7fa5c95.pdf"]}, {"id": "392425be1c9d9c2ee6da45de9df7bef0d278e85f", "title": "Vision for Intelligent Vehicles & Applications (VIVA): Face detection and head pose challenge", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0411.pdf"]}, {"id": "038ce930a02d38fb30d15aac654ec95640fe5cb0", "title": "Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "http://kylezheng.org/papers/SO_CLMslideatFG.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/BVGFacialFeatureTrackerMobile.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553701.pdf"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": []}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"]}, {"id": "1cb0c11620bde2734c1a428c789158ffff0d6c7b", "title": "A Framework of Enlarging Face Datasets Used for Makeup Face Analysis", "year": "2016", "pdf": []}, {"id": "96faccdddef887673d6007fed8ff2574580cae1f", "title": "Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained \"Hard Faces\"", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.09145.pdf"]}, {"id": "93dea8bca77df9841bab6b0bcef6d56cb51e761d", "title": "Improving retail efficiency through sensing technologies: A survey", "year": "2016", "pdf": ["http://oa.upm.es/46144/1/INVE_MEM_2016_249461.pdf"]}, {"id": "ab00ea1aa2f81fbe139b4632ec3682dfb7312ef0", "title": "Comparison of face detection and image classification for detecting front seat passengers in vehicles", "year": "2014", "pdf": []}, {"id": "826015d9ade1637b3fcbeca071e3137d3ac1ef56", "title": "A Deep Learning Frame-Work for Recognizing Developmental Disorders", "year": "2017", "pdf": []}, {"id": "10d334a98c1e2a9e96c6c3713aadd42a557abb8b", "title": "Scene Text Recognition Using Part-Based Tree-Structured Character Detection", "year": "2013", "pdf": ["http://sunw.csail.mit.edu/2013/papers/Shi_19_SUNw.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c961.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Shi_Scene_Text_Recognition_2013_CVPR_paper.pdf"]}, {"id": "46a4551a6d53a3cd10474ef3945f546f45ef76ee", "title": "Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariTrivedi_IV2014.pdf"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": []}, {"id": "1dd56ce2f980283a9f167b9a84c3d42a47481524", "title": "FaceCept3D: Real Time 3D Face Tracking and Analysis", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w2/papers/Tulyakov_FaceCept3D_Real_Time_ICCV_2015_paper.pdf"]}, {"id": "228558a2a38a6937e3c7b1775144fea290d65d6c", "title": "Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization", "year": "2014", "pdf": ["http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014.pdf", "http://pages.cs.wisc.edu/~lizhang/projects/face-landmark-localization/SmithCVPR2014_supplementary.pdf", 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"da386f486dd2f12281aabb368543e62459f1e79a", "title": "Cascade of Boolean detector combinations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef4/c6bb430c4792522866fdad40a0ed8e76809f.pdf"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"]}, {"id": "2fe86e9c115562df2114eeedc7db1aece07a3638", "title": "Effects of surface materials on polarimetric-thermal measurements: applications to face recognition.", "year": "2016", "pdf": []}, {"id": "bf2f2696fdb4077b5ab18aa583f6376acadf2438", "title": "Supervised descent method based on appearance and shape for face alignment", "year": "2016", "pdf": []}, {"id": "ef26b36eb5966364c71d4fed135fe68f891127e5", "title": "Joint Face Detection and Facial Expression Recognition with MTCNN", "year": "2017", "pdf": []}, {"id": "b9a8263017cadadbe72e3d5da035d0463c8f3df4", "title": "Engineered and learned features for face and facial expression recognition", "year": "2015", "pdf": []}, {"id": "25695abfe51209798f3b68fb42cfad7a96356f1f", "title": "AN INVESTIGATION INTO COMBINING BOTH FACIAL DETECTION AND LANDMARK LOCALISATION INTO A UNIFIED PROCEDURE USING GPU COMPUTING", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2569/5abfe51209798f3b68fb42cfad7a96356f1f.pdf"]}, {"id": "a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a", "title": "Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/TawariMartinTrivedi_IEEETITS2014.pdf"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"]}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face 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"5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"]}, {"id": "2d072cd43de8d17ce3198fae4469c498f97c6277", "title": "Random Cascaded-Regression Copse for Robust Facial Landmark Detection", "year": "2015", "pdf": ["http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-IEEE-SPL-2015.pdf", "http://www.patrikhuber.ch/files/RCRC_SPL_2015.pdf"]}, {"id": "58bb77dff5f6ee0fb5ab7f5079a5e788276184cc", "title": "Facial expression recognition with PCA and LBP features extracting from active facial patches", "year": "2016", "pdf": ["https://ram-lab.com/papers/2016/rcar_lyp_192.pdf"]}, {"id": "cc9a61a30afdb8a5bc7088e1cef814b53dc4fc66", "title": "Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation", "year": "2015", "pdf": []}, {"id": "2b6683dc7e94863e2df5d4ff2b5eb44c0b1957c7", "title": "Improving Robustness of Biometric Identity Determination with Digital Watermarking", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/jece/2016/6390741.pdf"]}, {"id": "3998c5aa6be58cce8cb65a64cb168864093a9a3e", "title": "Understanding head and hand activities and coordination in naturalistic driving videos", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/publications/2014/HeadHand.pdf", "http://cvrr.ucsd.edu/publications/2014/MartinOhnbarTawariTrivedi_IV2014.pdf", "http://cvrr.ucsd.edu/scmartin/presentation/IV2014_HeadHand.pdf"]}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": []}, {"id": "3cb64217ca2127445270000141cfa2959c84d9e7", "title": "Can body expressions contribute to automatic depression analysis?", "year": "2013", "pdf": ["http://staff.estem-uc.edu.au/roland/files/2009/05/Joshi_Goecke_Parker_Breakspear_FG2013_CanBodyExpressionsContributeToAutomaticDepressionAnalysis.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553796.pdf"]}, {"id": "26e570049aaedcfa420fc8c7b761bc70a195657c", "title": "Hybrid Facial Regions Extraction for Micro-expression Recognition System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/26e5/70049aaedcfa420fc8c7b761bc70a195657c.pdf"]}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.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": "106732a010b1baf13c61d0994552aee8336f8c85", "title": "Expanded Parts Model for Semantic Description of Humans in Still Images", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.04186.pdf"]}, {"id": "1121873326ab0c9f324b004aa0970a31d4f83eb8", "title": "Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Merget_Robust_Facial_Landmark_CVPR_2018_paper.pdf"]}, {"id": "17cf838720f7892dbe567129dcf3f7a982e0b56e", "title": "Global-Local Face Upsampling Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.07235.pdf"]}, {"id": "9cc8cf0c7d7fa7607659921b6ff657e17e135ecc", "title": "Detecting Masked Faces in the Wild with LLE-CNNs", "year": "2017", "pdf": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"]}, {"id": 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alignment with an ensemble of regression trees", "year": "2014", "pdf": ["http://www.csc.kth.se/~vahidk/face/KazemiCVPR14.pdf", "http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kazemi_One_Millisecond_Face_2014_CVPR_paper.pdf", "http://www.nada.kth.se/~sullivan/Papers/Kazemi_cvpr14.pdf"]}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": []}, {"id": "55aafdef9d9798611ade1a387d1e4689f2975e51", "title": "Hallucinating Compressed Face Images", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/ijcv17_face.pdf"]}, {"id": "60824ee635777b4ee30fcc2485ef1e103b8e7af9", "title": "Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"]}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "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": "b3c60b642a1c64699ed069e3740a0edeabf1922c", "title": "Max-Margin Object Detection", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00046.pdf"]}, {"id": "e50ec6b6d1c189edc127eb403c41a64f34fc0a6c", "title": "Learning Flexible Block based Local Binary Patterns for unconstrained face detection", "year": "2014", "pdf": []}, {"id": "e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66", "title": "Cognitive Learning for Social Robot through Facial Expression from Video Input", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e9ed/17fd8bf1f3d343198e206a4a7e0561ad7e66.pdf"]}, {"id": "e8ab6ed88fecfdc936c44bc7a73e00a1eaf17f63", "title": "Attributes in Multiple Facial Images", "year": "2018", "pdf": []}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": []}, {"id": "0b174d4a67805b8796bfe86cd69a967d357ba9b6", "title": "A Survey on Face Detection and Recognition Approaches", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0b17/4d4a67805b8796bfe86cd69a967d357ba9b6.pdf"]}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": []}, {"id": "747c25bff37b96def96dc039cc13f8a7f42dbbc7", "title": "EmoNets: Multimodal deep learning approaches for emotion recognition in video", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.01800.pdf"]}, {"id": "0b0958493e43ca9c131315bcfb9a171d52ecbb8a", "title": "A Unified Neural Based Model for Structured Output Problems", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0b09/58493e43ca9c131315bcfb9a171d52ecbb8a.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": "e50ee29ca12028cb903cd498bb9cacd41bd5ce3a", "title": "Single-view-based 3D facial reconstruction method robust against pose variations", "year": "2015", "pdf": ["http://cherup.yonsei.ac.kr/files/Paper/2015_PR_Single-view-based%203D%20facial%20reconstruction%20method%20robust%20against%20pose%20variations.pdf"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": []}, {"id": "40f127fa4459a69a9a21884ee93d286e99b54c5f", "title": "Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos", "year": "2013", "pdf": ["http://graphics.tu-bs.de/media/publications/stengel2013resolution.pdf", "https://www.graphics.tu-bs.de/upload/publications/stengel2013resolution.pdf"]}, {"id": "9ef2b2db11ed117521424c275c3ce1b5c696b9b3", "title": "Robust Face Alignment Using a Mixture of Invariant Experts", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04404.pdf"]}, {"id": "415078018292f90644ef4d34daf381fdbac16d41", "title": "It Takes Two to Tango: Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": []}, {"id": "25885e9292957feb89dcb4a30e77218ffe7b9868", "title": "Analyzing the Affect of a Group of People Using Multi-modal Framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.03640.pdf"]}, {"id": "49fdafef327069516d887d8e69b5e96c983c3dd0", "title": "Face Retrieval in Video Sequences Using a Single Face Sample", "year": "2017", "pdf": []}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": []}, {"id": "00a3cfe3ce35a7ffb8214f6db15366f4e79761e3", "title": "Using Kinect for real-time emotion recognition via facial expressions", "year": "2015", "pdf": ["http://engineering.cae.cn/fitee/fileup/2095-9184/SUPPL/20150414135701.pdf"]}, {"id": "fd96432675911a702b8a4ce857b7c8619498bf9f", "title": "Improved Face Detection and Alignment using Cascade Deep Convolutional Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.09364.pdf"]}, {"id": "7c7b0550ec41e97fcfc635feffe2e53624471c59", "title": "Head, Eye, and Hand Patterns for Driver Activity Recognition", "year": "2014", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/headhandeye.pdf", "http://cvrr.ucsd.edu/publications/2014/headhandeye.pdf", "https://eshed1.github.io/papers/headhandeye.pdf"]}, {"id": "44a3ec27f92c344a15deb8e5dc3a5b3797505c06", "title": "A Taxonomy of Part and Attribute Discovery Techniques", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/44a3/ec27f92c344a15deb8e5dc3a5b3797505c06.pdf"]}, {"id": "4a0f98d7dbc31497106d4f652968c708f7da6692", "title": "Real-time eye gaze direction classification using convolutional neural network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.05258.pdf"]}, {"id": "30c93fec078b98453a71f9f21fbc9512ab3e916f", "title": "Multimodal Egocentric Analysis of Focused Interactions", "year": "2018", "pdf": []}, {"id": "dad7b8be074d7ea6c3f970bd18884d496cbb0f91", "title": "Super-Sparse Regression for Fast Age Estimation from Faces at Test Time", "year": "2015", "pdf": 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"https://jurie.users.greyc.fr/papers/13_CVPR_EPPM.pdf"]}, {"id": "15a3c96a0cf4c0d7f4abd025572255f82e017ff7", "title": "High-quality face capture, animation and editing from monocular video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/15a3/c96a0cf4c0d7f4abd025572255f82e017ff7.pdf"]}, {"id": "2f489bd9bfb61a7d7165a2f05c03377a00072477", "title": "Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2f48/9bd9bfb61a7d7165a2f05c03377a00072477.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": "c71552fb2a18458a5607c609b96433004ada1131", "title": "Review of Selected Techniques and Measures Affecting the Reliability of Face Image Acquisition Systems / Przegl\u0105d Wybranych Technik I \u015arodk\u00f3w Wp\u0142ywaj\u0105cych Na Niezawodno\u015b\u0107 Dzia\u0142ania System\u00f3w Akwizycji Obrazu Twarzy", "year": "2014", "pdf": ["https://content.sciendo.com/downloadpdf/journals/jok/29/1/article-p49.pdf"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"]}, {"id": "aa5eeb1ab953411e915ea5e6298474dbebfa6fb6", "title": "An efficient scheme for face detection based on contours and feature skin recognition", "year": "2015", "pdf": []}, {"id": "5334ac0a6438483890d5eef64f6db93f44aacdf4", "title": "MINH HOAI : REGULARIZEDMAX POOLING FOR IMAGE CATEGORIZATION 1 Regularized Max Pooling for Image Categorization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5334/ac0a6438483890d5eef64f6db93f44aacdf4.pdf"]}, {"id": "9888ce5cb5cae8ba4f288806d126b1114e0a7f9b", "title": "Enhanced face recognition using 8-Connectivity-of-Skin-Region and Standard-Deviation-based-Pose-Detection as preprocessing techniques", "year": "2014", "pdf": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"]}, {"id": "1f8e44593eb335c2253d0f22f7f9dc1025af8c0d", "title": "Fine-Tuning Regression Forests Votes for Object Alignment in the Wild", "year": "2015", "pdf": ["https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22607/Patras%20Fine-tuning%20regression%202014%20Accepted.pdf?sequence=1"]}, {"id": "62f0d8446adee6a5e8102053a63a61af07ac4098", "title": "Facial point detection using convolutional neural network transferred from a heterogeneous task", "year": "2015", "pdf": ["http://www.vision.cs.chubu.ac.jp/MPRG/C_group/C072_yamashita2015.pdf"]}, {"id": "cbe1df2213a88eafc5dcaf55264f2523fe3ec981", "title": "Automatic 4D Facial Expression Recognition Using DCT Features", "year": "2015", "pdf": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"]}, {"id": "0d90c992dd08bfb06df50ab5c5c77ce83061e830", "title": "An Automatic Face Annotation System Featuring High Accuracy for Online Social Networks", "year": "2013", "pdf": []}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": []}, {"id": 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"9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": []}, {"id": "f345a05353f5784b64eefb7785661cc0be519521", "title": "LBF Based 3D Regression for Facial Animation", "year": "2016", "pdf": []}, {"id": "2b2924af7ec219bd1fadcbd2c57014ed54efec86", "title": "Channeling Mr. Potato head - Face super-resolution using semantic components", "year": "2014", "pdf": []}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"]}, {"id": "f402e088dddfaad7667bd4def26092d05f247206", "title": "Passenger Compartment Violation Detection in HOV/HOT Lanes", "year": "2016", "pdf": []}, {"id": "142dcfc3c62b1f30a13f1f49c608be3e62033042", "title": "Adaptive region pooling for object detection", "year": "2015", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr15_object_detection.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/1A_080_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Tsai_Adaptive_Region_Pooling_2015_CVPR_paper.pdf"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": []}, {"id": "61971f8e6fff5b35faed610d02ad14ccfc186c70", "title": "Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks", "year": "2018", "pdf": []}, {"id": "9776a9f3c59907f45baaeda4b8907dcdac98aef1", "title": "The video face recognition method and system based on the fusion of multiple features", "year": "2017", "pdf": []}, {"id": "3066a4e95985f77cf5cd54d53a7f3526a4ff124c", "title": "A Face-to-Face Neural Conversation Model", "year": "2018", "pdf": []}, {"id": "b0358af78b7c5ee7adc883ef513bbcc84a18a02b", "title": "Universal Skin Detection Without Color Information", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926593.pdf"]}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": []}, {"id": "60c97065418fbd30e55d79b764c7c3961106ac3d", "title": "Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.06664.pdf"]}, {"id": "edc5a0a8b9fc6ae0e8d8091a2391767f645095d9", "title": "Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera", "year": "2015", "pdf": ["http://www.es.mdh.se/pdf_publications/3948.pdf"]}, {"id": "c175f1666f3444e407660c5935a05b2a53f346f0", "title": "Modifying the Memorability of Face", "year": 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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": "74ba4ab407b90592ffdf884a20e10006d2223015", "title": "Partial Face Detection in the Mobile Domain", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02117.pdf"]}, {"id": "b3cb117f2424209d5997d5745772dfadd02dc80d", "title": "Semantic Summarization of Egocentric Photo Stream Events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.00438.pdf"]}, {"id": "24bf94f8090daf9bda56d54e42009067839b20df", "title": "Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition", "year": "2015", "pdf": ["https://www.computer.org/csdl/trans/tp/2015/06/06940284.pdf"]}, {"id": "152683f3ac99f829b476ea1b1b976dec6e17b911", "title": "Evaluation of head pose estimation methods for a non-cooperative biometric system", "year": "2016", "pdf": []}, {"id": "5e62b2ab6fd3886e673fd5cbee160a5bee414507", "title": "Facial Emotion Recognition Based on Facial Motion Stream Generated by Kinect", "year": "2015", "pdf": []}, {"id": "9628af8b8496a2e69c8eb8a33e2db2db62551e9c", "title": "Deep Learning for Illumination Invariant Facial Expression Recognition", "year": "2018", "pdf": []}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.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": "cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3", "title": "Facial Landmark Detection via Progressive Initialization", "year": "2015", "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": "50ccc98d9ce06160cdf92aaf470b8f4edbd8b899", "title": "Towards robust cascaded regression for face alignment in the wild", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Qu_Towards_Robust_Cascaded_2015_CVPR_paper.pdf"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"]}, {"id": "91ead35d1d2ff2ea7cf35d15b14996471404f68d", "title": "Combining and Steganography of 3D Face Textures", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.01325.pdf"]}, {"id": "fc970d7694b1d2438dd101a146d2e4f29087963e", "title": "Fusing Multilabel Deep Networks for Facial Action Unit Detection", "year": "2017", "pdf": []}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"]}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"]}, {"id": "3a8846ca16df5dfb2daadc189ed40c13d2ddc0c5", "title": "Validation loss for landmark detection", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10143.pdf"]}, {"id": "44f433c5db087664cd5fae273763a2d2baf03bfd", "title": "Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.11582.pdf"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"]}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/c8ba/5cddae817c30de79a804eaf16024610c1e4f.pdf"]}, {"id": "440b94b1624ca516b07e72ea8b3488072adc5e26", "title": "Comparison of Early and Late Information Fusion for Multi-camera HOV Lane Enforcement", "year": "2015", "pdf": []}, {"id": "13afc4f8d08f766479577db2083f9632544c7ea6", "title": "Multiple kernel learning for emotion recognition in the wild", "year": "2013", "pdf": []}, {"id": "1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3", "title": "ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be1/8a701d5af2d8088db3e6aaa5b9b1d54b6fd3.pdf"]}, {"id": "6bcfcc4a0af2bf2729b5bc38f500cfaab2e653f0", "title": "Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Afshar_Facial_Expression_Recognition_CVPR_2016_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/afshar06cvprw.pdf"]}, {"id": "9b1c218a55ead45296bfd7ad315aaeff1ae9983e", "title": "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos", "year": "2016", "pdf": []}, {"id": "a6d47f7aa361ab9b37c7f3f868280318f355fadc", "title": "Features and methods for improving large scale face recognition", "year": "2015", "pdf": []}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"]}, {"id": "2fb8d7601fc3ad637781127620104aaab5122acd", "title": "Estimating Correspondences of Deformable Objects \u201cIn-the-Wild\u201d", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/zhou2016estimating.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/sup/zhou2016estimating-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"]}, {"id": "1a849b694f2d68c3536ed849ed78c82e979d64d5", "title": "This is a repository copy of Symmetric Shape Morphing for 3 D Face and Head Modelling", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/318c/a222a7a4dfc63807c6b6c4285cc63c8610ba.pdf"]}, {"id": "a8a30a8c50d9c4bb8e6d2dd84bc5b8b7f2c84dd8", "title": "This is a repository copy of Modelling of Orthogonal Craniofacial Profiles", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3bf2/79c782cee5b43a766d248810d602b24033c9.pdf"]}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": []}, {"id": "230c4a30f439700355b268e5f57d15851bcbf41f", "title": "EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.01509.pdf"]}, {"id": "8c0a47c61143ceb5bbabef403923e4bf92fb854d", "title": "Improved Strategies for HPE Employing Learning-by-Synthesis Approaches", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w22/Larumbe_Improved_Strategies_for_ICCV_2017_paper.pdf"]}, {"id": "6ac1dc59e823d924e797afaf5c4a960ed7106f2a", "title": "Deep Facial Expression Recognition: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08348.pdf"]}, {"id": "6cfc337069868568148f65732c52cbcef963f79d", "title": "Audio-Visual Speaker Localization via Weighted Clustering Israel -", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/80d7/8415aee24e65ea3031c31adc1dabc1956f8a.pdf"]}, {"id": "de398bd8b7b57a3362c0c677ba8bf9f1d8ade583", "title": "Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition", "year": "2017", "pdf": ["http://www.cs.wayne.edu/~mdong/TMM16.pdf"]}, {"id": "0a6a818b634cca4eb75a37bfd23b5c5c21331b12", "title": "Face Alignment Refinement", "year": "2015", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/wacv-2015.pdf"]}, {"id": "a15d9d2ed035f21e13b688a78412cb7b5a04c469", "title": "Object detection using strongly-supervised deformable part models", "year": "2012", "pdf": ["http://www.csc.kth.se/~azizpour/papers/ha_eccv12.pdf"]}, {"id": "4c842fbd4c032dd4d931eb6ff1eaa2a13450b7af", "title": "A review of recent advances in visual speech decoding", "year": "2014", "pdf": []}, {"id": "1b0a071450c419138432c033f722027ec88846ea", "title": "Looking at faces in a vehicle: A deep CNN based approach and evaluation", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/YuenMartinTrivediITSC2016.pdf"]}, {"id": "795ea140df2c3d29753f40ccc4952ef24f46576c", "title": "C V ] 2 8 O ct 2 01 7 MultiTask Learning by Deep Collaboration and Application in Facial Landmark Detection", "year": "2017", "pdf": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"]}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"]}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": []}, {"id": "cd2bf0e1d19babe51eaa94cbc24b223e9c048ad6", "title": "\u2018Who Likes What and, Why?\u2019 Insights into Modeling Users\u2019 Personality Based on Image \u2018Likes\u2019", "year": "2018", "pdf": []}, {"id": "c3a3f7758bccbead7c9713cb8517889ea6d04687", "title": "Funnel-structured cascade for multi-view face detection with alignment-awareness", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.07304.pdf"]}, {"id": "383e64d9ef1fca9de677ac82486b4df42e96e861", "title": "Social Network Construction of the Role Relation in Unstructured Data Based on Multi-view", "year": "2017", "pdf": []}, {"id": "de162d4b8450bf2b80f672478f987f304b7e6ae4", "title": "Weakly Supervised Manifold Learning for Dense Semantic Object Correspondence", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Gaur_Weakly_Supervised_Manifold_ICCV_2017_paper.pdf"]}, {"id": "ea0785c2d4ac8f8d6415cffdb83547bfc4e7adba", "title": "Spontaneous Facial Expression Recognition using Sparse Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1810.00362.pdf"]}, {"id": "d42dbc995318e2936714c65c028700bfd3633049", "title": "Face fiducial detection by consensus of exemplars", "year": "2016", "pdf": ["https://bitbucket.org/mallikarjun26/wacv_2016_face_fiducial/raw/9ed5a356db1fceda6c542bd7d8fd94f0c4f7d120/211.pdf"]}, {"id": "113b06e70b7eead8ae7450bafe9c91656705024c", "title": "Face Alignment across Large Pose via MT-CNN Based 3D Shape Reconstruction", "year": "2018", "pdf": []}, {"id": "8bc190e3782a20f49b7346ecc80099edd89bc257", "title": "Brief review of facial expression recognition techniques", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8bc1/90e3782a20f49b7346ecc80099edd89bc257.pdf"]}, {"id": "40b0fced8bc45f548ca7f79922e62478d2043220", "title": "Do Convnets Learn Correspondence?", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.1091.pdf"]}, {"id": "375435fb0da220a65ac9e82275a880e1b9f0a557", "title": "From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild", "year": "2015", "pdf": ["http://eprints.lincoln.ac.uk/17528/7/__ddat02_staffhome_jpartridge_tzimiroTPAMI15.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/tpami_alignment.pdf"]}, {"id": "7e1d2befac6946112cd80652d0c2b962e3c0d342", "title": "FA-RPN: Floating Region Proposals for Face Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05586.pdf"]}, {"id": "239df42479c69cf95e7194cc0ec3d8cf7d4a98e8", "title": "Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/239d/f42479c69cf95e7194cc0ec3d8cf7d4a98e8.pdf"]}, {"id": "a5ae44070857aa00e54ea80394a04fda412b335c", "title": "Scene Text Recognition using part-based TSM and Soft Output Viterbi Algorithm", "year": "2015", "pdf": []}, {"id": "e585dc6c810264d9f07e38c412379734a920714e", "title": "Facing reality: an industrial view on large scale use of facial expression analysis", "year": "2013", "pdf": []}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": []}, {"id": "f6511d8156058737ec5354c66ef6fdcf035d714d", "title": "Response Surface Learning for Face Misalignment Correction", "year": "2014", "pdf": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": []}, {"id": "22137ce9c01a8fdebf92ef35407a5a5d18730dde", "title": "Recognition of Faces from single and Multi-View Videos", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2213/7ce9c01a8fdebf92ef35407a5a5d18730dde.pdf"]}, {"id": "50a0930cb8cc353e15a5cb4d2f41b365675b5ebf", "title": "Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50a0/930cb8cc353e15a5cb4d2f41b365675b5ebf.pdf"]}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"]}, {"id": "104863192ffb35e285f7546d1ac842e001ac9084", "title": "Cloud-based scalable object detection and classification in video streams", "year": "2018", "pdf": ["http://orca-mwe.cf.ac.uk/98251/1/elsarticle-template-harv.pdf"]}, {"id": "4068574b8678a117d9a434360e9c12fe6232dae0", "title": "Automatic Construction of Deformable Models In-the-Wild", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Antonakos_Automatic_Construction_of_2014_CVPR_paper.pdf", "http://www.visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2031.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"]}, {"id": "7c1e1c767f7911a390d49bed4f73952df8445936", "title": "Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA)", "year": "2013", "pdf": ["http://cmp.felk.cvut.cz/~hurycd1/data/publications/zimmermann-TPAMI2014.pdf", "http://cmp.felk.cvut.cz/~zimmerk/zimmermann-TPAMI-2014.pdf"]}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "year": "2017", "pdf": []}, {"id": "7f703613149b190ea3bb0e3c803844895419846b", "title": "Locating Facial Landmarks towards Plastic Surgery", "year": "2015", "pdf": []}, {"id": "5a7e62fdea39a4372e25cbbadc01d9b2204af95a", "title": "Direct Shape Regression Networks for End-to-End Face Alignment", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Miao_Direct_Shape_Regression_CVPR_2018_paper.pdf", "http://see.xidian.edu.cn/faculty/chdeng/Welcome%20to%20Cheng%20Deng's%20Homepage_files/Papers/Conference/CVPR2018_Miao.pdf"]}, {"id": "d8904955fa93ad434f5156235ac94452eec57f64", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48ec/4b2c3b6c6549fa7a988f8db135a41691f605.pdf"]}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": []}, {"id": "32dfd4545c87d9820cc92ca912c7d490794a81d6", "title": "Computer Vision for Driver Assistance", "year": "2017", "pdf": []}, {"id": "c61686b6fead7cd04f71ca29caba25b387498965", "title": "Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com A Survey on Face Recognition Eigen face and PCA method", "year": "2014", "pdf": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"]}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"]}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": []}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Zhou_Extensive_Facial_Landmark_2013_ICCV_paper.pdf", "http://www.faceplusplus.com/wp-content/uploads/FacialLandmarkpaper.pdf"]}, {"id": "3dd4d719b2185f7c7f92cc97f3b5a65990fcd5dd", "title": "Ensemble of Hankel Matrices for Face Emotion Recognition", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.03811.pdf"]}, {"id": "b0c512fcfb7bd6c500429cbda963e28850f2e948", "title": "A Fast and Accurate Unconstrained Face Detector", "year": "2016", "pdf": ["https://arxiv.org/pdf/1408.1656.pdf"]}, {"id": "4e7f0dfc390f88623c825fe702da45b994342011", "title": "Photorealistic Face De-Identification by Aggregating Donors' Face Components", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9da1/91858f65fd99c9b204a6f68916711d4bd51b.pdf"]}, {"id": "fb0774049f2f34be194592822c74e2f2e603dea8", "title": "Landmark localization approach for facial computing", "year": "2017", "pdf": 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"http://faculty.ucmerced.edu/mhyang/papers/cvpr13_hallucination_sup.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989b099.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yang_Structured_Face_Hallucination_2013_CVPR_paper.pdf", "https://eng.ucmerced.edu/people/cyang35/CVPR13/cvpr13_hallucination.pdf", "https://eng.ucmerced.edu/people/cyang35/CVPR13/cvpr13_poster_v10.pdf"]}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": []}, {"id": "744c22e95eaceabb031589ba808bf2e9f24b04c7", "title": "From Sequence to Attention ; Search for a Compositional Bias in Sequence-to-Sequence Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f4cf/ad394b9d9441ed6f93be30e14f197df0e198.pdf"]}, {"id": "93dcea2419ca95b96a47e541748c46220d289d77", "title": "Multi-scale Fully Convolutional Network for Face Detection in the Wild", "year": 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"b8f3f6d8f188f65ca8ea2725b248397c7d1e662d", "title": "Selfie Detection by Synergy-Constraint Based Convolutional Neural Network", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.04357.pdf"]}, {"id": "45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"]}, {"id": "5445e5fe5e42698413cfaf90f8c52009f19539ff", "title": "A 3D Morphable Model of Craniofacial Shape and Texture Variation", "year": "2017", "pdf": ["http://eprints.whiterose.ac.uk/135062/1/ICCV2017LYHM.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_A_3D_Morphable_ICCV_2017_paper.pdf", "http://www-users.cs.york.ac.uk/~nep/research/papers/Dai-ICCV2017-3DMMhead.pdf"]}, {"id": "2ff9618ea521df3c916abc88e7c85220d9f0ff06", "title": "Facial Tic Detection Using Computer Vision", "year": "2014", "pdf": 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"year": "2014", "pdf": ["https://zhzhanp.github.io/papers/TCSVT2014.pdf"]}, {"id": "9abab00de61dd722b3ad1b8fa9bffd0001763f8b", "title": "Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing", "year": "2016", "pdf": []}, {"id": "5dff253fab3740871784a8afc9613d7189a70ec9", "title": "Video Magnification to Detect Heart Rate for Drivers", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5dff/253fab3740871784a8afc9613d7189a70ec9.pdf"]}, {"id": "5990c2e78394388e8a81a4b52baf35c13b22d2c9", "title": "Smartphone posture monitoring system to prevent unhealthy neck postures", "year": "2015", "pdf": []}, {"id": "642417f2bb1ff98989e0a0aa855253fed1fffe04", "title": "Auto zoom crop from face detection and facial features", "year": "2013", "pdf": []}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"]}, {"id": "ba017a8d16e47e57a1f3eb5a94c1ba24e6952274", "title": "An Optokinetic Nystagmus Detection Method for Use With Young Children", "year": "2015", "pdf": []}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"]}, {"id": "d511e903a882658c9f6f930d6dd183007f508eda", "title": "Privileged information-based conditional regression forest for facial feature detection", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553766.pdf"]}, {"id": "c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee", "title": "Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05612.pdf"]}, 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"https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_poster.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/antonakos_automatic_2014_supp.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909630", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.234", "http://doi.org/10.1109/CVPR.2014.234"]}, {"id": "7c1e1c767f7911a390d49bed4f73952df8445936", "title": "Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA)", "year": "2013", "pdf": ["http://cmp.felk.cvut.cz/~hurycd1/data/publications/zimmermann-TPAMI2014.pdf", "http://cmp.felk.cvut.cz/~zimmerk/zimmermann-TPAMI-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778003", "http://doi.org/10.1109/TPAMI.2013.171", "https://www.ncbi.nlm.nih.gov/pubmed/24018637", "https://www.wikidata.org/entity/Q40558576"]}, {"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", 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"d8904955fa93ad434f5156235ac94452eec57f64", "title": "Facial expression recognition in the wild based on multimodal texture features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48ec/4b2c3b6c6549fa7a988f8db135a41691f605.pdf"], "doi": []}, {"id": "2f515770d74502d200c3f51ba663fbe600714327", "title": "Face modeling for face recognition in the wild.", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.18297/etd%2F2068", "https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=3082&context=etd&httpsredir=1&referer="]}, {"id": "32dfd4545c87d9820cc92ca912c7d490794a81d6", "title": "Computer Vision for Driver Assistance", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-50551-0"]}, {"id": "c61686b6fead7cd04f71ca29caba25b387498965", "title": "Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com A Survey on Face Recognition Eigen face and PCA method", "year": "2014", "pdf": [], "doi": []}, {"id": "fe48f0e43dbdeeaf4a03b3837e27f6705783e576", "title": "Supervised Transformer Network for Efficient Face Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.05477.pdf"], "doi": []}, {"id": "61f04606528ecf4a42b49e8ac2add2e9f92c0def", "title": "Deep Deformation Network for Object Landmark Localization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.01014.pdf"], "doi": []}, {"id": "1ddea58d04e29069b583ac95bc0ae9bebb0bed07", "title": "An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371751", "http://doi.org/10.1109/KSE.2015.50"]}, {"id": "1a8ccc23ed73db64748e31c61c69fe23c48a2bb1", "title": "Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade", "year": "2013", "pdf": 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["http://openaccess.thecvf.com/content_ICCV_2017/papers/Gaur_Weakly_Supervised_Manifold_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237454", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.192", "http://doi.org/10.1109/ICCV.2017.192"]}, {"id": "1eb4ea011a3122dc7ef3447e10c1dad5b69b0642", "title": "Contextual Visual Recognition from Images and Videos", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1eb4/ea011a3122dc7ef3447e10c1dad5b69b0642.pdf"], "doi": []}, {"id": "100641ed8a5472536dde53c1f50fa2dd2d4e9be9", "title": "Visual attributes for enhanced human-machine communication", "year": "2013", "pdf": ["https://filebox.ece.vt.edu/~parikh/Publications/Parikh_hum_mac_com_Allerton_2013.pdf", "https://www.cc.gatech.edu/~parikh/Publications/Parikh_hum_mac_com_Allerton_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6736651", "http://doi.org/10.1109/Allerton.2013.6736651"]}, {"id": 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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/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "c693c578d783323d130d642bd04d391aac7e8f81", "title": "Semantic Pyramids for Gender and Action Recognition", "year": "2014", "pdf": ["http://cat.uab.cat/~joost/papers/2014TIPsemanticpyr.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6838985", "http://doi.org/10.1109/TIP.2014.2331759", "https://www.ncbi.nlm.nih.gov/pubmed/24956369", "https://www.wikidata.org/entity/Q38427893"]}, {"id": "9fab78015e6e91ba7241a923222acd6c576c6e27", "title": "Clothes Advertising by Targeting Principal Actors in Video", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8057385", "http://doi.ieeecomputersociety.org/10.1109/ICSS.2016.10", "http://doi.org/10.1109/ICSS.2016.10"]}, {"id": "54509dbe70cd3015007bbd5fa1fd8793b388319e", "title": "Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates.", "year": "2012", "pdf": ["http://vision.ssu.ac.kr/LecData2015-2/grad_cv/Classifier/cascaded%20random%20forest.pdf", "http://www.bmva.org/bmvc/2012/BMVC/paper058/abstract058.pdf", "http://www.bmva.org/bmvc/2012/BMVC/paper058/paper058.pdf"], "doi": ["http://doi.org/10.5244/C.26.58"]}, {"id": "7892606127c94d0be5c9bea5b6cb539f7fe3bf39", "title": "Combining Multiple Cues for Visual Madlibs Question Answering", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11263-018-1096-0"]}, {"id": "101c5b39f4fc4dda1f39bf0c00e196f0a4720af2", "title": "Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features", "year": "2015", "pdf": ["http://vc.cs.nthu.edu.tw/home/paper/codfiles/yjchen/201410171439/06910272.pdf", "http://www.ecse.rpi.edu/~rjradke/papers/wu-pami14.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/wu-pami14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6910272", "http://doi.org/10.1109/TPAMI.2014.2360373", "https://www.ncbi.nlm.nih.gov/pubmed/26353331", "https://www.wikidata.org/entity/Q40558158"]}, {"id": "123a9768700433c405bd7266f4c57ca8222e7fe1", "title": "Expanded Parts Model for Human Attribute and Action Recognition in Still Images", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Sharma_Expanded_Parts_Model_2013_CVPR_paper.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a652.pdf", "http://www.robots.ox.ac.uk/~vgg/rg/papers/sharma__cvpr2013__expanded.pdf", "https://hal.inria.fr/hal-00816144/file/sharma_epm_cvpr2013.pdf", "https://jurie.users.greyc.fr/papers/13_CVPR_EPPM.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618934", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.90", "http://doi.org/10.1109/CVPR.2013.90"]}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "71bbda43b97e8dc8b67b2bde3c873fa6aacd439f", "title": "A software system for automated identification and retrieval of moth images based on wing attributes", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2015.09.012"]}, {"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"], "doi": []}, {"id": "10ab1b48b2a55ec9e2920a5397febd84906a7769", "title": "Demo: I-Pic: A Platform for Privacy-Compliant Image Capture", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2938589"]}, {"id": "c3da60330497cb948ce1741f1624347ee7acfceb", "title": "Estimation de pose humaine et reconnaissance d'action par un syst\u00e8me multi-robots. (Human pose estimation and action recognition by multi-robot systems)", "year": "2017", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-01921842"]}, {"id": "942bb63e78d9edfe3b8d0a4bf9a3511c736a6930", "title": "Implementing Efficient, Portable Computations for Machine Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/942b/b63e78d9edfe3b8d0a4bf9a3511c736a6930.pdf"], "doi": []}, {"id": "778c9f88839eb26129427e1b8633caa4bd4d275e", "title": "Pose pooling kernels for sub-category recognition", "year": "2012", "pdf": ["http://www.cs.berkeley.edu/~nzhang/papers/cvpr12_ppk.pdf", "http://www.icsi.berkeley.edu/pubs/vision/ICSI_posepooling12.pdf", "https://people.eecs.berkeley.edu/~nzhang/papers/cvpr12_ppk.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248364", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6248364", "http://doi.org/10.1109/CVPR.2012.6248364"]}, {"id": "fa32b29e627086d4302db4d30c07a9d11dcd6b84", "title": "Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network", "year": "2018", "pdf": ["http://www.public.asu.edu/~swang187/publications/WACV18.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354123", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00019", "http://doi.org/10.1109/WACV.2018.00019"]}, {"id": "1630e839bc23811e340bdadad3c55b6723db361d", "title": "Exploiting relationship between attributes for improved face verification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/4236/2a0197cd3bc2de691057af7eadc726ffb66a.pdf"], "doi": []}, {"id": "9089280062cf40870a322d687c2850d45c02ebae", "title": "Single Image Action Recognition by Predicting Space-Time Saliency", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04641.pdf"], "doi": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": [], "doi": 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Recognition and Caption Generation Improve Emotion Detection in Microblog Posts?", "year": "2017", "pdf": ["http://www.romanklinger.de/publications/klinger2017-nldb.pdf", "http://www.romanklinger.de/talks/nldb.pdf"]}, {"id": "4f618cbf19917ce5b8703adbc14e15b0bf0d35cc", "title": "Multi-View Dynamic Facial Action Unit Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.07863.pdf"]}, {"id": "1f2b28dc48c8f2c0349dce728d7b6a0681f58aea", "title": "A Dataset for Lane Instance Segmentation in Urban Environments", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.01347.pdf"]}, {"id": "7d6132a884d2b154059c461e107c7a8c41603ef7", "title": "Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.00872.pdf"]}, {"id": "8e06f628d0566e31366cf046b4a83ac4724ea7c3", "title": "Categorizing Concepts with Basic Level for Vision-to-Language", "year": "2018", "pdf": 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"a24a0126f76ba1423ac3548ef95aa24ac4e670dd", "title": "How Would You Say It ? Eliciting Lexically Diverse Data for Supervised Semantic Parsing", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3870/0128bc3ce57a04c46458c3898eaaa1166508.pdf"]}, {"id": "99975f84728140154a35b0763753b35bc44e1d5a", "title": "Video Description: A Survey of Methods, Datasets and Evaluation Metrics", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00186.pdf"]}, {"id": "a6a6cfae45e8633c01793debf43592b7d515f65d", "title": "From ImageNet to Mining: Adapting Visual Object Detection with Minimal Supervision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a6a6/cfae45e8633c01793debf43592b7d515f65d.pdf"]}, {"id": "29b1a44d1e1ffa05c2bf7f4be931c5045f427718", "title": "ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof", "year": "", "pdf": ["https://pdfs.semanticscholar.org/29b1/a44d1e1ffa05c2bf7f4be931c5045f427718.pdf"]}, {"id": "4634bf44a0c994e2bed89686225f8cef601a0224", "title": "NLM at ImageCLEF 2018 Visual Question Answering in the Medical 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Screening Algorithm for Template Matching FAST SCREENING ALGORITHM FOR TEMPLATE MATCHING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/64a3/36f952ec67f85fe00092847d50dd29e4cddc.pdf"]}, {"id": "d42142285c46207a16bd4294e437d504e419a9b7", "title": "Varying image description tasks : spoken versus written descriptions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d421/42285c46207a16bd4294e437d504e419a9b7.pdf"]}, {"id": "cd8398e82e0c0cc4276a1694fd333214ede337ea", "title": "Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02563.pdf"]}, {"id": "8e416d760feb5f23bc1a6dab98eb1f6e75ab8907", "title": "Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.08251.pdf"]}, {"id": "f7186eb3d717694d4ab1730a8d0f662e90c44d6f", "title": "A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f718/6eb3d717694d4ab1730a8d0f662e90c44d6f.pdf"]}, {"id": "35c5b84fa47e5b6cee201f831507f62482ccebcc", "title": "CUNI System for the WMT 17 Multimodal Traslation Task", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/35c5/b84fa47e5b6cee201f831507f62482ccebcc.pdf"]}, {"id": "b63041d05b78a66724fbcb2803508999bf885d6b", "title": "Deep Sets", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06114.pdf"]}, {"id": "d318f3ca49f7f2159b9fc0face08eb284d5442dc", "title": "Scene Text Detection via Holistic, Multi-Channel Prediction", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.09002.pdf"]}, {"id": "bb4650130c460f413e97b0328624a485bf094967", "title": "Dynamic Lexicon Generation for Natural Scene Images", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/bb46/50130c460f413e97b0328624a485bf094967.pdf"]}, {"id": "43cb50f669a0d492256d11c6cc4128ba0ce79a3e", "title": "Per-Pixel Feedback for improving Semantic Segmentation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.02861.pdf"]}, {"id": "f81f5da2a1e4eb80b465b8dffca4c9e583a8a8a6", "title": "Rapid Object Detection Systems , Utilising Deep Learning and Unmanned Aerial Systems ( Uas ) for Civil Engineering Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f81f/5da2a1e4eb80b465b8dffca4c9e583a8a8a6.pdf"]}, {"id": "e7928bd33d09fd00a588617736b102063ca9d070", "title": "A Non-Technical Survey on Deep Convolutional Neural Network Architectures", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02129.pdf"]}, {"id": "45e2aa7706fcedcbb2d93304a9824fe762b8b3b0", "title": "DAC-SDC Low Power Object Detection Challenge for UAV Applications", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00110.pdf"]}, {"id": "8f45907fba8fce5e9d958cf66cb68b406858fbb6", "title": "Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System", "year": "2018", 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"http://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2015/05/3074_2013_VISAPP_FullyAutomatedReIdentification.pdf", "http://www.scitepress.org/Papers/2014/46823/46823.pdf"]}, {"id": "6313ecbdfee7d04cbf22755c4b53193f42467a92", "title": "Activity Prediction Based on Spatiotemporal Model in a Multiple Cameras Network", "year": "2015", "pdf": []}, {"id": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"]}, {"id": "c155d39ccff4571fa62f3d164c607544bfb3ed4c", "title": "Deep Global And Local Saliency Learning With New Re-Ranking For Person Re-Identification", "year": "2018", "pdf": []}, {"id": "1e21078efc0aa7a3881d0e87cb5dd5918523f525", "title": "Network Consistent Data Association", "year": "2016", "pdf": ["http://cs-people.bu.edu/dasabir/papers/NCDA_PAMI2016.pdf", "http://www.ece.ucr.edu/~amitrc/publications/Camera_Ready_Manuscript.pdf", "http://www.ece.ucr.edu/~amitrc/publications/NCDA.pdf", "http://www.ee.ucr.edu/~amitrc/publications/Camera_Ready_Manuscript.pdf", "https://cloudfront.escholarship.org/dist/prd/content/qt6cw6x0vr/qt6cw6x0vr.pdf?t=n9na8b"]}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"]}, {"id": "7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf", "title": "Hierarchical Gaussian Descriptors with Application to Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04318.pdf"]}, {"id": "1f5c409e9b6aec60003b5d4534373f9b07ff8443", "title": "Saliency Weighted Features for Person Re-identification", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w19/08%20-%20Saliency%20Weighted%20Features%20for%20Person.pdf"]}, {"id": "38feccdbb8d98e325cac41edfbfb3cab866fd968", "title": "Recurrent Models of Visual Co-Attention for Person Re-Identification", "year": "2019", "pdf": []}, {"id": "2c98300103c86401c979ec158a659fb07fd2a36e", "title": "Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation", "year": "2018", "pdf": ["http://crabwq.github.io/pdf/2018%20Bike-Person%20Re-Identification%20A%20Benchmark.pdf"]}, {"id": "c5f4b605eb866000aedaf7377f6329be10b5920e", "title": "Optimizing Multi-Granularity Region Similarity for Person Re-Identification", "year": "2019", "pdf": []}, {"id": "2b50f8e4568ecd84e2f9d6357254272d8db4bbd4", "title": "Hierarchical Gaussian Descriptor for Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Matsukawa_Hierarchical_Gaussian_Descriptor_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Matsukawa_Hierarchical_Gaussian_Descriptor_CVPR_2016_paper.pdf"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"]}, {"id": "f727b12c905ac585de60811048c9f9dd4188b498", "title": "R 4-A . 2 : Rapid Forensic Search & Retrieval in Video", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f727/b12c905ac585de60811048c9f9dd4188b498.pdf"]}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"]}, {"id": "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "title": "Deep View-Aware Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fcb6/4ef4421cebb80eb33f62c7726f339eb2bb62.pdf"]}, {"id": "0a2aca07c9e15de3d5924e156af9a8e1a67b4cab", "title": "Person Reidentification With Reference Descriptor", "year": "2016", "pdf": ["http://alumni.cs.ucr.edu/~mkafai/papers/Paper_tcsvt2015.pdf"]}, {"id": "70ab6dacf948624998d61e3476d0604c9ea2d349", "title": "A pool of multiple person re-identification experts", "year": "2016", "pdf": []}, {"id": "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "title": "Person Re-Identification by Robust Canonical Correlation Analysis", "year": "2015", "pdf": []}, {"id": "1b3505018e39a794eab032e7e313784b21be42e9", "title": "Saliency based Person Re-Identification in Video using Colour Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1b35/05018e39a794eab032e7e313784b21be42e9.pdf"]}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": []}, {"id": "3da3630061a1b70ceb843711629eb320085cc9ee", "title": "Adaptive Metric Learning in Local Distance Comparison for People Re-identification", "year": "2013", "pdf": []}, {"id": "6a167375410115d83be377de1f9714929f301b00", "title": "End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification", "year": "2017", "pdf": []}, {"id": "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "title": "Efficient and Deep Person Re-identification Using Multi-level Similarity", "year": "2018", "pdf": []}, {"id": "f05d2e412e6758510f1a6c8321fd0042ce0e6151", "title": "Deep feature learning for person re-identification in a large-scale crowdsourced environment", "year": "2017", "pdf": []}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"]}, {"id": "7b6b49adf60d56d1b33b428fdf66aff7426fca6e", "title": "Survey on Deep Learning Techniques for Person Re-Identification Task", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05284.pdf"]}, {"id": "c7cda3ae7c301080d0f062b11452e12c0272f8cf", "title": "Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "year": "2018", "pdf": []}, {"id": "8d8afef13a8f6195d3b874231e5e767cf62f3c50", "title": "Deep Ranking for Person Re-Identification via Joint Representation Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1505.06821.pdf"]}, {"id": "64a6c30ca95e85427c56acb4c1c20f62c6ec0709", "title": "PersonNet: Person Re-identification with Deep Convolutional Neural Networks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07255.pdf"]}, {"id": "c0153b92a59fe0cb6405c888dd536d44d34a92fb", "title": "Enhancing Detection Model for Multiple Hypothesis Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w34/papers/Chen_Enhancing_Detection_Model_CVPR_2017_paper.pdf"]}, {"id": "2f3f87d8cacf32232c3a34517fa991289ed03884", "title": "Learning Irregular Space Transformation for Person Re-Identification", "year": "2018", "pdf": []}, {"id": "21e880907053301b621d318a4b81dbe1b51c3aad", "title": "A Novel Visual Word Co-occurrence Model for Person Re-identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.6532.pdf"]}, {"id": "a57e735f3582365dea89a202bdbcc43e53af6ad4", "title": "Enhancing person re-identification by late fusion of low-, mid- and high-level features", "year": "2017", "pdf": ["http://vbn.aau.dk/files/264634343/re_id.pdf"]}, {"id": "05a6a40c840c069631a825509f3095697592e1c4", "title": "IAN: The Individual Aggregation Network for Person Search", "year": "2019", "pdf": ["https://arxiv.org/pdf/1705.05552.pdf"]}, {"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"]}, {"id": "71529e3e51f2967e338124652e93a3d34eb6c5e1", "title": "Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7152/9e3e51f2967e338124652e93a3d34eb6c5e1.pdf"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"]}, {"id": "5a603ab4b6353fc244361930c28723b3bc091f4b", "title": "Deep Feature Learning with Relative Distance Comparison for Person Re-identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.03622.pdf"]}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": []}, {"id": "eca9b9dd665556423278b85f79e1d589009a7ea7", "title": "Person Re-Identi fi cation by Robust Canonical Correlation Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/eca9/b9dd665556423278b85f79e1d589009a7ea7.pdf"]}, {"id": "7bb929b8ff2f83de91318865232819be8b13fbe5", "title": "Discriminant Context Information Analysis for Post-Ranking Person Re-Identification", "year": "2017", "pdf": []}, {"id": "2c3b31284e8ed00a473338be011570967cc15958", "title": "Re-Identification in the Function Space of Feature Warps", "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/PAMI14-Reid.pdf", "http://cs-people.bu.edu/dasabir/papers/Supplementary-PAMI2014-Reid.pdf", "http://www.ece.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~adas/cv_rs/CurrentResDescription_Long.pdf", "http://www.ee.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~amitrc/publications/Supplementary-PAMI2014-Reid.pdf"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"]}, {"id": "9836ebbef8ba972af323e20ba7667e2d03105895", "title": "A Neuromorphic Person Re-Identification Framework for Video Surveillance", "year": "2017", "pdf": ["http://dspace.nitrkl.ac.in/dspace/bitstream/2080/2759/1/IEEEAccess_V5_6471-6482_ANanda.pdf"]}, {"id": "3f45d73a7b8d10a59a68688c11950e003f4852fc", "title": "Person re-identification by Local Maximal Occurrence representation and metric learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.4216.pdf"]}, {"id": "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "title": "Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"]}, {"id": "7c37f8213a33a07076ece47660ad681cb1b58d08", "title": "Adaptive Metric Learning for People Re-Identification", "year": "2014", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E97.D/11/E97.D_2013EDP7451/_pdf/-char/en"]}, {"id": "61ab9bf00e444d12816886da0d68b833c47c152e", "title": "A coarse-to-fine deep learning for person re-identification", "year": "2016", "pdf": []}, {"id": "3005a4afddab849d9070788ac0e4e95e0fff2216", "title": "Transfer Metric Learning: Algorithms, Applications and Outlooks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.03944.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": "99d3bc6d62675297693e5e57ff0770e7017f9637", "title": "Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.09150.pdf"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"]}, {"id": "07f5c01b1e272fca1fc575ab84ac1710cbe58518", "title": "A Deep Structure of Person Re-Identification Using Multi-Level Gaussian Models", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07720.pdf"]}, {"id": "56c5d08103c5bf4b263a81da73135455136bbe6d", "title": "Kernel MBPLS for a Scalable and Multi-Camera Person Re-Identification System", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/56c5/d08103c5bf4b263a81da73135455136bbe6d.pdf"]}, {"id": "81eecb00eeadb5fe36cd840b687439bfdca7ff30", "title": "Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning", "year": "2015", "pdf": ["http://users.dimi.uniud.it/~christian.micheloni/papers/journals/MarMicForTIP2016.pdf"]}, {"id": "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "title": "Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification", "year": "2018", "pdf": []}, {"id": "fef7fb6f3e239c346cd144960e27875889fdd650", "title": "One-Shot Metric Learning for Person Re-identification", "year": "2017", "pdf": 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Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"], "doi": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"], "doi": []}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "7c37f8213a33a07076ece47660ad681cb1b58d08", "title": "Adaptive Metric Learning for People Re-Identification", "year": "2014", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E97.D/11/E97.D_2013EDP7451/_pdf/-char/en"], "doi": ["https://doi.org/10.1587/transinf.2013EDP7451", "http://search.ieice.org/bin/summary.php?id=e97-d_11_2888"]}, 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["https://pdfs.semanticscholar.org/8aed/6ec62cfccb4dba0c19ee000e6334ec585d70.pdf"]}, {"id": "52887969107956d59e1218abb84a1f834a314578", "title": "Travel Recommendation by Mining People Attributes and Travel Group Types From Community-Contributed Photos", "year": "2013", "pdf": ["http://www.cmlab.csie.ntu.edu.tw/~yanying/paper/chen13travel.pdf"]}, {"id": "61122b36259f5e987a4913c9b257c6e7dc88edc3", "title": "Search based face annotation", "year": "2014", "pdf": []}, {"id": "78f438ed17f08bfe71dfb205ac447ce0561250c6", "title": "Bridging the Semantic Gap : Image and video Understanding by Exploiting Attributes", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/78f4/38ed17f08bfe71dfb205ac447ce0561250c6.pdf"]}, {"id": "bd2d7c7f0145028e85c102fe52655c2b6c26aeb5", "title": "Attribute-based People Search: Lessons Learnt from a Practical Surveillance System", "year": "2014", "pdf": []}, {"id": "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "title": "A literature survey on robust and efficient eye localization in real-life scenarios", "year": "2013", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr13eye.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf"]}, {"id": "0b605b40d4fef23baa5d21ead11f522d7af1df06", "title": "Label-Embedding for Attribute-Based Classification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a819.pdf", "http://www.chennaisunday.com/IEEE%202013%20Java%20Basepaper/Label-Embedding%20for%20Attribute-Based%20Classification.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Akata_Label-Embedding_for_Attribute-Based_2013_CVPR_paper.pdf", "http://www.harchaoui.eu/zaid/publications/aphs_2013_ale_cvpr2013.pdf", "https://hal.inria.fr/file/index/docid/815747/filename/CVPR2013.pdf"]}, {"id": "1828b1b0f5395b163fef087a72df0605249300c2", "title": "On-line Adaption of Class-specific Codebooks for Instance Tracking", "year": "2010", "pdf": 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with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction", "year": "2018", "pdf": []}, {"id": "9f094341bea610a10346f072bf865cb550a1f1c1", "title": "Recognition and volume estimation of food intake using a mobile device", "year": "2009", "pdf": ["http://zhiweizhu.com/papers/FIVR_MobileDevice_2009.pdf"]}, {"id": "1939168a275013d9bc1afaefc418684caf99ba66", "title": "An associate-predict model for face recognition", "year": "2011", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2011/cvpr11_associate_Predict_Model.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/10/cvpr11_faceapmodel.pdf"]}, {"id": "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "title": "Model Semantic Relations with Extended Attributes", "year": "2014", "pdf": []}, {"id": "28bc378a6b76142df8762cd3f80f737ca2b79208", "title": "Understanding Objects in Detail with Fine-Grained Attributes", "year": "2014", "pdf": ["http://people.cs.umass.edu/~smaji/papers/oid-cvpr14.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Vedaldi_Understanding_Objects_in_2014_CVPR_paper.pdf"]}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"]}, {"id": "df80fed59ffdf751a20af317f265848fe6bfb9c9", "title": "Learning Deep Sharable and Structural Detectors for Face Alignment", "year": "2017", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2017_Learning%20deep%20sharable%20and%20structural%20detectors%20for%20face%20alignment.pdf"]}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"]}, {"id": "6c0c7b90e0c7badaa95924530cb50d86444010ff", "title": "Semantic Attributes for Transfer Learning in Visual Recognition", "year": "2018", "pdf": 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Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"]}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": []}, {"id": "305346d01298edeb5c6dc8b55679e8f60ba97efb", "title": "Fine-Grained Face Annotation Using Deep Multi-Task CNN", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3053/46d01298edeb5c6dc8b55679e8f60ba97efb.pdf"]}, {"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.06177.pdf"]}, {"id": "b34fdab6864782ce60fd90d09f5d886bd83f84f5", "title": "AL-DDCNN: a distributed crossing semantic gap learning for person re-identification", "year": "2017", "pdf": []}, {"id": "e4f032ee301d4a4b3d598e6fa6cffbcdb9cdfdd1", "title": "Facial Landmark Point Localization using Coarse-to-Fine Deep Recurrent Neural Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.01760.pdf"]}, {"id": "65817963194702f059bae07eadbf6486f18f4a0a", "title": "WhittleSearch: Interactive Image Search with Relative Attribute Feedback", "year": "2015", "pdf": ["https://arxiv.org/pdf/1505.04141.pdf"]}, {"id": "852ff0d410a25ebb7936043a05efe2469c699e4b", "title": "Learning local binary patterns for gender classification on real-world face images", "year": "2012", "pdf": ["http://repository.tudelft.nl/assets/uuid:678436fb-d859-4c4a-8842-f1b4bb5a0fe3/MS-32.590.pdf", "http://www.cin.ufpe.br/~cabm/visao/artigos/Learning%20local%20binary%20patterns%20for%20gender%20classification%20on%20real-world%20face%20images.pdf"]}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"]}, {"id": "5c2e264d6ac253693469bd190f323622c457ca05", "title": "Improving large-scale face image retrieval using multi-level features", "year": "2013", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2013/Improving%20large%20scale%20image%20retrieval%20using%20multi-level%20features13.pdf"]}, {"id": "19d4855f064f0d53cb851e9342025bd8503922e2", "title": "Learning SURF Cascade for Fast and Accurate Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d468.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/supp/4989d468s1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf", 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"5b6f0a508c1f4097dd8dced751df46230450b01a", "title": "Finding lost children", "year": "2011", "pdf": ["http://digitalassets.lib.berkeley.edu/techreports/ucb/text/EECS-2010-174.pdf", "http://www.icsi.berkeley.edu/pubs/vision/findinglostchildren11.pdf", "https://www2.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-174.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": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", "pdf": []}, {"id": "b1b7603a70860cbe5ff7b963976b5e6f780c88fc", "title": "A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "year": "2018", "pdf": []}, {"id": "42a48ce71daa2d05c698d2e9e90335320ddd9841", "title": "General-to-specific learning for facial attribute classification in the wild", "year": "2018", "pdf": []}, {"id": "7f4bc8883c3b9872408cc391bcd294017848d0cf", "title": "The Multimodal Focused Attribute Model : A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7f4b/c8883c3b9872408cc391bcd294017848d0cf.pdf"]}, {"id": "a34e5c66bd553d8a75e13084fb7a81217c21e33b", "title": "Attributes as Operators: Factorizing Unseen Attribute-Object Compositions", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09851.pdf"]}, {"id": "2ffcd35d9b8867a42be23978079f5f24be8d3e35", "title": "Satellite based Image Processing using Data mining", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2ffc/d35d9b8867a42be23978079f5f24be8d3e35.pdf"]}, {"id": "c05ae45c262b270df1e99a32efa35036aae8d950", "title": "Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention", "year": "2018", "pdf": []}, {"id": 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"Content-based vehicle retrieval using 3D model and part information", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0001025.pdf", "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0001025.pdf"]}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": []}, {"id": "22f656d0f8426c84a33a267977f511f127bfd7f3", "title": "From Facial Expression Recognition to Interpersonal Relation Prediction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.06426.pdf"]}, {"id": "729a9d35bc291cc7117b924219bef89a864ce62c", "title": "Recognizing Material Properties from Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.03127.pdf"]}, {"id": "09071e54b012fd8b14aa351a73d44190707b1409", "title": "Reasoning Across Language and Vision in Machines and Humans", "year": "2013", "pdf": []}, {"id": 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"https://www.cc.gatech.edu/~parikh/Publications/TurakhiaParikh_attribute_dominance_ICCV_2013.pdf", "https://www.cc.gatech.edu/~parikh/Publications/TurakhiaParikh_attribute_dominance_ICCV_2013_poster.pdf"]}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"]}, {"id": "3c1f5580a66c9624c77f27ab8e4cf0d1b3d9d171", "title": "SkyFinder: attribute-based sky image search", "year": "2009", "pdf": []}, {"id": "50d15cb17144344bb1879c0a5de7207471b9ff74", "title": "Divide , Share , and Conquer : Multitask Attribute Learning with Selective Sharing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/50d1/5cb17144344bb1879c0a5de7207471b9ff74.pdf"]}, {"id": "79dd787b2877cf9ce08762d702589543bda373be", "title": "Face detection using SURF cascade", "year": "2011", "pdf": 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Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"], "doi": []}, {"id": "5b6f0a508c1f4097dd8dced751df46230450b01a", "title": "Finding lost children", "year": "2011", "pdf": ["http://digitalassets.lib.berkeley.edu/techreports/ucb/text/EECS-2010-174.pdf", "http://www.icsi.berkeley.edu/pubs/vision/findinglostchildren11.pdf", "https://www2.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-174.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5712362"]}, {"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"], "doi": ["http://doi.org/10.1016/j.imavis.2016.05.004"]}, {"id": "e0679f8cf0029c04a95d966f562eb0bac3145adf", "title": "Harnessing auxiliary information : New methods to improve person identification", "year": "2015", 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Cascading off-the-Shelf Face Detectors", "year": "2018", "pdf": []}, {"id": "2c1d07f7dad8ab306ee02d58ab9698b436b1cc47", "title": "Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2c1d/07f7dad8ab306ee02d58ab9698b436b1cc47.pdf"]}, {"id": "84dcf04802743d9907b5b3ae28b19cbbacd97981", "title": "Face Detection using Deep Learning: An Improved Faster RCNN Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08289.pdf"]}, {"id": "d689063294e217f1ec8b83fe4b60e706f1934787", "title": "Simultaneous Face Detection and Pose Estimation Using Convolutional Neural Network Cascade", "year": "2018", "pdf": []}, {"id": "59c194bc84d604baf09241238dc47806a998df70", "title": "Building a post-compression region-of-interest encryption framework for existing video surveillance systems", "year": "2015", "pdf": ["http://wavelab.at/papers/Unterweger15a.pdf"]}, {"id": 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using super-resolution", "year": "2010", "pdf": []}, {"id": "ae419d28ab936cbbc420dcfd1decb16a45afc8a9", "title": "Real-time face verification using multiple feature combination and a support vector machine supervisor", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/ae41/9d28ab936cbbc420dcfd1decb16a45afc8a9.pdf"]}, {"id": "dddafd9fc479b06cb1601b1280c19181bc6172a7", "title": "Gabor Saliency Map for Face Recognition", "year": "2007", "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": "3adae788b345c778d93d51cb9a1a5c38e718b1a6", "title": "Oculomotor Plant Characteristics: The Effects of Environment and Stimulus", "year": "2016", "pdf": []}, {"id": "a00bcd5db27ab270a11e83d3286f0c18a847d674", "title": "Computing the 3D face recognition based on pseudo 2D Hidden Markov Models using geodesic distances", "year": "2008", "pdf": []}, {"id": "f20fe5c662fc90fb0032cdfe39812e83456ca46a", "title": "Digital Watermark for 3D Face Model Authentication and EER Performance Analysis", "year": "2008", "pdf": []}, {"id": "0922e7d583d02f6078e59974a3de4452382ca9dd", "title": "Local approach for face verification in polar frequency domain", "year": "2006", "pdf": ["http://rogerioferis.com/publications/IVC-ZanaEtAl06.pdf", "http://www.cs.ucsb.edu/~mturk/pubs/IVC-ZanaEtAl06.pdf", "https://pdfs.semanticscholar.org/0922/e7d583d02f6078e59974a3de4452382ca9dd.pdf"]}, {"id": "f262f21a5bfe129e90cd36bef206dbb89e5d2656", "title": "Facial skin motion properties from video: modeling and applications", "year": "2009", "pdf": []}, {"id": "2ce5dbb12461e78ab923f04e6b8d3b90f2e639e7", "title": "Robust Tensor Preserving Projection for Multispectral Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2ce5/dbb12461e78ab923f04e6b8d3b90f2e639e7.pdf"]}, {"id": 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["https://pdfs.semanticscholar.org/422f/c05b3ef72e96c87b9aa4190efa7c7fb8c170.pdf"]}, {"id": "d65b82b862cf1dbba3dee6541358f69849004f30", "title": "Elastic graph matching", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/d65b/82b862cf1dbba3dee6541358f69849004f30.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": "6f0b8920d39ac44eea320a4df2763137a71d851c", "title": "Face Verification using External Features", "year": "2006", "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": "714794c74941e45798d9c405a4fec1138cff2df3", "title": "Iris Segmentation: State of the Art and Innovative Methods", "year": "2012", "pdf": ["https://air.unimi.it/retrieve/handle/2434/199170/183095/Iris%20segmentation%20state%20of%20the%20art%20and%20innovative%20methods.pdf", "https://pdfs.semanticscholar.org/7147/94c74941e45798d9c405a4fec1138cff2df3.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": "86f72a4391c3b90a03f8fbbd28d4846947f028d6", "title": "Principal Manifolds and Probabilistic Subspaces for Visual Recognition", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/a8ca/ea2199061186c793e473860835bd9b818157.pdf"]}, {"id": "28312c3a47c1be3a67365700744d3d6665b86f22", "title": "Face recognition: A literature survey", "year": "2003", "pdf": []}, {"id": "3f4137c23193bd853d8319620f85fd11b591dbf4", "title": "Remarks on BioHashing based cancelable biometrics in verification system", "year": "2006", "pdf": []}, {"id": "1ffa669eb393961357f9a78b6a9cc71c779a5aa3", "title": "Initialization and Pose Alignment in Active Shape Model", "year": "2010", "pdf": []}, {"id": "aa062fc9d6e986889f44c36e8286f9eb47d525e1", "title": "Subspace methods in object/face recognition", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/aa06/2fc9d6e986889f44c36e8286f9eb47d525e1.pdf"]}, {"id": "494a71a5d0df506ea5803d1f4e691d4b10eae506", "title": "Chapter 2 Face Recognition in Subspaces", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/67a7/eab843c5e6033c9d8f3a6dacb22b39f4c83a.pdf"]}, {"id": "b14ff2ce6d9ee83bb8b0f1085ecf30d280efeb6b", "title": "Bio-Inspired Adaboost Method for Efficient Face Recognition", "year": "2007", "pdf": []}, {"id": "082087ecb69a3b66d9d33c1d38a9e24e248fb9dd", "title": "FACE RECOGNITION IN POOR-QUALITY VIDEO : Evidence From Security Surveillance", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/0820/87ecb69a3b66d9d33c1d38a9e24e248fb9dd.pdf"]}, {"id": "e6d422a3131508e38262485fbd0baa3cbd03af14", "title": "Early detection of Basal Cell Carcinoma using Optical Coherence Tomography and Pattern Recognition Techniques", "year": "2000", "pdf": []}, {"id": "b29d70f38bd4759cd9d8c2fdc9312f7f807f4fa9", "title": "Face Recognition in Subspaces", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/b0f3/532a3c071d706399e52b474b2335ec8e7a19.pdf"]}, {"id": "147fe6bfc76f30ccacc3620662511e452bc395f6", "title": "A Survey of Face Recognition Techniques", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/147f/e6bfc76f30ccacc3620662511e452bc395f6.pdf"]}, {"id": "3d1af6c531ebcb4321607bcef8d9dc6aa9f0dc5a", "title": "Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs", "year": "2006", "pdf": []}, {"id": "4624a22816daf82313f48a978afc7d53ed0ec368", "title": "Bayesian face recognition", "year": "2000", "pdf": ["http://courses.csail.mit.edu/6.869/handouts/MerlTR2000-42%20BayesianFacReco.pdf", "http://visgraph.cs.ust.hk/biometrics/Papers/Face/pr2000-11-1.pdf", "http://www.cs.columbia.edu/~jebara/papers/TR2000-42.pdf", "http://www.merl.com/publications/docs/TR2000-42.pdf"]}, {"id": "aad43bc579a9b1b4e998b8399a820c2c26001506", "title": "Cancellable biometrics and annotations on BioHash", "year": "2008", "pdf": []}, {"id": "f7094d4888e9ef039d283267d310b0673ff0e423", "title": "FACE RECOGNITION: A NEW FEATURE SELECTION AND CLASSIFICATION TECHNIQUE", "year": "2004", "pdf": []}, {"id": "2b507ea9720402f8b634f8b6bf407f7d73cbbf55", "title": "Cancellable Biometrics and Multispace Random Projections", "year": "2006", "pdf": []}, {"id": "fb51141b3b65d823a4e8c70c9f7bd4a730694b21", "title": "Cognitive connectionist models for recognition of structured patterns.", "year": "2008", "pdf": []}, {"id": "d0bfcf9995fc66c77c06f843b11ef5fcb2c680bb", "title": "Cancelable Biometrics Realization With Multispace Random Projections", "year": "2007", "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": "19d27714c820ca7cebf8c6d5a76053b23bcfdf11", "title": "Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance", "year": "2005", "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": "fc9e60f370252bc9a6120a6b2c39703ac1fee810", "title": "Critical Points to Determine Persistence Homology", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06148.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": "869abfc258f5512fd95da179f7d92b624900eadd", "title": "Autonomous face recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/869a/bfc258f5512fd95da179f7d92b624900eadd.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": "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": "1d0cbbe466647286bd73d41032a418b0e2265e7c", "title": "Fusion of face and gait for human recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1d0c/bbe466647286bd73d41032a418b0e2265e7c.pdf"]}, {"id": "8ab2bc0f298cf595d50064a5bce57065d5b69c59", "title": "Development of Multimedia Application for Smartphones", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/da44/8a1d037f9dcd3e41a752d60df7d28df3c74b.pdf"]}, {"id": "1746fec6b033f5fc7aa0f8c99e1f238ac3710ee9", "title": "An Extensive Survey on Feature Extraction Techniques for Facial Image Processing", "year": "2014", "pdf": []}, {"id": "1888bf50fd140767352158c0ad5748b501563833", "title": "A GUIDED TOUR OF FACE PROCESSING", "year": "", "pdf": ["https://pdfs.semanticscholar.org/1888/bf50fd140767352158c0ad5748b501563833.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": "2598c02e537b02ce181eea1aa49a698080a391a8", "title": "Improving Recognition Performance for Duplicate Facial Images", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/2598/c02e537b02ce181eea1aa49a698080a391a8.pdf"]}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"]}, {"id": "79c0201447bb2d407dad99d8fe0a2f4703a3fb7f", "title": "Infrared Imaging Face Recognition Using Nonlinear Kernel-Based Classifiers", "year": "2004", "pdf": []}, {"id": "0e7862580028aa80c409b52ef1fa683444afcbcd", "title": "Reducing the Dimensionality of Face Space in a Sparse Distributed Local-Features Representation", "year": "2000", "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": "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": "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": "3199a528e5e68f48827544abee7fd6b47678dba5", "title": "Human Face Recognition Using Weighted Vote of Gabor Magnitude Filters", "year": "", "pdf": ["https://pdfs.semanticscholar.org/3199/a528e5e68f48827544abee7fd6b47678dba5.pdf"]}, {"id": "620c3f6605e528503a99a8832200d5afdf156c20", "title": "F2ID: a personal identification system using faces and fingerprints", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/620c/3f6605e528503a99a8832200d5afdf156c20.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": "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": "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": "80fdf9757c0e4b62dcfff03941f1951304ba002c", "title": "Geometry of face space", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/80fd/f9757c0e4b62dcfff03941f1951304ba002c.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": "64b78b6f13c321da77e3770a748772fa837aa8c8", "title": "Parallel Architecture for Face Recognition using MPI", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/64b7/8b6f13c321da77e3770a748772fa837aa8c8.pdf"]}, {"id": "29c7dfbbba7a74e9aafb6a6919629b0a7f576530", "title": "Automatic Facial Expression Analysis and Emotional Classification", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/29c7/dfbbba7a74e9aafb6a6919629b0a7f576530.pdf"]}, {"id": "66e21b99ae3aeae79589d260e3daca3b04981a9c", "title": "MULTI-AGENT APPROACH TOWARDS FACE RECOGNITION", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/66e2/1b99ae3aeae79589d260e3daca3b04981a9c.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": "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": "7a7daa220b80e6f447183ab1e30531bb9eec0e0c", "title": "Survey: Subspace methods for face recognition", "year": "2010", "pdf": []}, {"id": "340716ba8c6ab315a4253cb3750c74aca54dc3aa", "title": "The nature of face representations in subcortical regions", "year": "2014", "pdf": ["http://www.cnbc.cmu.edu/~behrmann/dlpapers/GabayBurlinghamBehrmann2014.pdf", "https://www.cmu.edu/dietrich/behrmannlab/Publications/GabayBurlinghamBehrmannNeuropsychologia2014.pdf"]}, {"id": "f337bbee95772584e5e082bbffa67ac184d79155", "title": "Automatic extraction of face contours in images and videos", "year": "2012", "pdf": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": []}, {"id": "66ec086d1a546939b753671f192d76c06c8b207e", "title": "Non-negative Matrix Factorization on Kernels", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/66ec/086d1a546939b753671f192d76c06c8b207e.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": "e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e", "title": "Ear Recognition : A Complete System", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e000/dd1aec1c7b1e9e781ec7ea66f2bde72faa5e.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": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "title": "The MR2: A multi-racial, mega-resolution database of facial stimuli.", "year": "2016", "pdf": ["http://www.mpmlab.org/The%20MR2%20face%20database.pdf", "https://static1.squarespace.com/static/52eea0e9e4b06612bb723c25/t/56be5aab7c65e4130432987d/1455315630275/the-mr2-face-database.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": "2862d405f9d1e957076195b0fefd1bdfe480ca8b", "title": "Parallel implementation of eigenface on CUDA", "year": "2014", "pdf": []}, {"id": "0ecb58abfe0462fecd27fd5eb0605d736e75acf6", "title": "On Classifying Facial Races with Partial Occlusions and Pose Variations", "year": "2017", "pdf": []}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.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": "192e439b19824d06bb21ad6bd63cc7a55772549f", "title": "Face recognition using SURF features", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/192e/439b19824d06bb21ad6bd63cc7a55772549f.pdf"]}, {"id": "06bcd68dcbd8f7dadc8310fa47d44bce982f4559", "title": "Multi-linear neighborhood preserving projection for face recognition", "year": "2014", "pdf": []}, {"id": "0d8753db30693a000a2b704bc4f8c7209f716d66", "title": "Robust Fisher Linear Discriminant Model for Dimensionality Reduction", "year": "2006", "pdf": []}, {"id": "0f1cbe4e26d584c82008ccef9fb1e4669b82de1f", "title": "Stability as performance metric for subjective pattern recognition - application of Electoral College in face recognition", "year": "2008", "pdf": []}, {"id": "6f5486c415a6aae48fbbc546358993d551ac1cd4", "title": "The time course of individual face recognition: A pattern analysis of ERP signals", "year": "2016", "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": "8e6f67ba883169d6103795d7366a3821843ac758", "title": "A Novel Face Recognition Algorithm with Support Vector Machine Classifier", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8e6f/67ba883169d6103795d7366a3821843ac758.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": "4dab3522bbf33f199996069106b514badb4f900a", "title": "Multimodal Biometrics Using Cancelable Feature Fusion", "year": "2014", "pdf": []}, {"id": "e71e9cbcd34bc169b2d6d083e925bd7f44693ca0", "title": "Performance Analysis of Face Recognition Algorithms on Korean Face Database", "year": "2007", "pdf": []}, {"id": "2a5efa83ea5c4733757b838b84ba6519f873b826", "title": "A Continuous Learning for Solving a Face Recognition Problem", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2a5e/fa83ea5c4733757b838b84ba6519f873b826.pdf"]}, {"id": "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "title": "An Evaluation of Classification Performance for Facial Analytics on Diverse Datasets", "year": "2013", "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": "b6ad9d1a8038e9b4ade4d5bbb26f03e813d53071", "title": "Feature Extractions for Small Sample Size Classification Problem", "year": "2007", "pdf": []}, {"id": "add80c86fa2e73637b5630a9e32644784e59379c", "title": "Expanding Training Data for Facial Image Super-Resolution", "year": "2018", "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": "11554a577c225db1acb09b882e3c51d837ec2495", "title": "Sensor web geoprocessing on the grid", "year": "2011", "pdf": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": []}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"]}, {"id": "d8e8730231dc0e77f3ad61385f918df3d93bd266", "title": "Efficient face detection method with eye region judgment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d8e8/730231dc0e77f3ad61385f918df3d93bd266.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": "79584ed8638392e253ffae2d5ec936239d088285", "title": "An approach to face detection and alignment using hough transformation with convolution neural network", "year": "2016", "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": "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": "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": "8b56e33f33e582f3e473dba573a16b598ed9bcdc", "title": "A new ranking method for principal components analysis and its application to face image analysis", "year": "2010", "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": "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": "003f161768db4b70358971d40eb8e1ad535f001f", "title": "Face recognition from single sample based on human face perception", "year": "2009", "pdf": []}, {"id": "fa2f0577f07fdbe6076ccc6e5a9f54eab5247d53", "title": "Fast PCA-based face recognition on GPUs", "year": "2013", "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": "ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3", "title": "Face Recognition Techniques : A Review", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ba7c/01e1432bffc2fcde824d0b0ebd25ad7238c3.pdf"]}, {"id": "018eaad53804a88d894a8370a94bb6db31a30ed4", "title": "ANN based human facial expression recognition in color images", "year": "2014", "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": "53d8946fd7dcc9e35ddf92096b372c8988c0cce9", "title": "Wavelet packet analysis for face recognition", "year": "2000", "pdf": ["http://www.csd.uoc.gr/~tziritas/papers/ivc.pdf"]}, {"id": "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "title": "Review on the effects of age, gender, and race demographics on automatic face recognition", "year": "2017", "pdf": []}, {"id": "dfe97eb3304660c252c94c7eed6fc1c0970191ce", "title": "Robust Discriminant Analysis of Gabor Feature for Face Recognition", "year": "2007", "pdf": []}, {"id": "36018404263b9bb44d1fddaddd9ee9af9d46e560", "title": "OCCLUDED FACE RECOGNITION BY USING GABOR FEATURES", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/3601/8404263b9bb44d1fddaddd9ee9af9d46e560.pdf"]}, {"id": "64699c4546b66323d4af7d1e44ddb5912991c00c", "title": "Design and Performance Evaluation of Robust Digital Audio Watermarking under Low Bits Rates", "year": "2015", "pdf": []}, {"id": "0735e0b0266d94b670fa6e1b974d3676ef4e3e24", "title": "Face Recognition by Elastic Bunch Graph Matching", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/37ef/a1e61c4a52b191dca26e59e1ce686a89541c.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": "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": "13db9466d2ddf3c30b0fd66db8bfe6289e880802", "title": "Transfer Subspace Learning Model for Face Recognition at a Distance", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/13db/9466d2ddf3c30b0fd66db8bfe6289e880802.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": "25afa24d85e693351bad795ee1c3e801d10c4a15", "title": "Anisotropic Gaussian Filters for Face Class Modeling August 31 , 2006", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/25af/a24d85e693351bad795ee1c3e801d10c4a15.pdf"]}, {"id": "a7f26379346be7c7d4b5511bad7de534c689273e", "title": "Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual Training", "year": "2017", "pdf": []}, {"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": "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": "726fc899b4b1ebbd607e6a0934e86383e5675440", "title": "Event-Related Potential Correlates of Long-Term Memory for Briefly Presented Faces", "year": "2005", "pdf": ["http://brain.mcmaster.ca/0506.labmeetings/joyce05.pdf", "http://kutaslab.ucsd.edu/people/kutas/pdfs/2005.JCN.757.pdf"]}, {"id": "f209ac3162ad9443f80dac257427f60913be78df", "title": "Dual LDA - an effective feature space reduction method for face recognition", "year": "2005", "pdf": []}, {"id": "42350e28d11e33641775bef4c7b41a2c3437e4fd", "title": "Multilinear Discriminant Analysis for Face Recognition", "year": "2007", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2007/IP07_face02.pdf"]}, {"id": "3c47022955c3274250630b042b53d3de2df8eeda", "title": "Discriminant analysis with tensor representation", "year": "2005", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2005/01467312.pdf"]}, {"id": "07c676e6c42df0f39966aa057a6dea67ed371264", "title": "Remembering beauty: Roles of orbitofrontal and hippocampal regions in successful memory encoding of attractive faces", "year": "2011", "pdf": ["http://cabezalab.org/wp-content/uploads/2011/11/remembering_beauty_Tsukiura2011.pdf", "http://www.csuchico.edu/~nschwartz/Remembering%20Attractive%20Faces-%20%20Roles%20of%20Orbitofrontal%20&%20hippocampal%20Regions.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": "217d22a63b45bb5960c614ede827fb5c532e0add", "title": "Neural mechanisms of concurrent stimulus processing in dual tasks", "year": "2009", "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": "602ff72d6b65cda209184916b3ebe6cae0b28564", "title": "The own-age bias in face memory is unrelated to differences in attention--evidence from event-related potentials.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/602f/f72d6b65cda209184916b3ebe6cae0b28564.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": "b69ff748b1cc7da3843acdd7f1c33f0c0debf3f5", "title": "Automatic face recognition system based on the SIFT features", "year": "2015", "pdf": ["https://home.zcu.cz/~pkral/papers/cee_kral15.pdf"]}, {"id": "07d70e554f7c9d4a22944bc5e0685dfdd813f33a", "title": "A spatiotemporal feature-based approach for facial expression recognition from depth video", "year": "2015", "pdf": []}, {"id": "a2c9ddd7e7df99dba7c7b2b522f5c601b341c695", "title": "Eigenspace-based Face Recognition: A comparative study of different hybrid approaches.", "year": "2002", "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": "fde7849b90c64d88aaacf384f30a06416d370750", "title": "Rapid Plasticity in the Prefrontal Cortex during Affective Associative Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fde7/849b90c64d88aaacf384f30a06416d370750.pdf"]}, {"id": "5615548157d0e23d60ba82af1a3b29814bc4b7c7", "title": "Face Recognition with Multi-stage Matching Algorithms", "year": "2015", "pdf": []}, {"id": "ac2a2c655ad1b3eea3f222b213a774aa25a403c0", "title": "Self-Learning of Feature Regions for Image Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ac2a/2c655ad1b3eea3f222b213a774aa25a403c0.pdf"]}, {"id": "0ea2fa4039b6fc733dbc6942642287f141c1121c", "title": "Situation Awareness through Multimodal Biometric Template Security in Real-Time Environments", "year": "2013", "pdf": []}, {"id": "91e58c39608c6eb97b314b0c581ddaf7daac075e", "title": "Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.00307.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": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"]}, {"id": "8c62ce3db6d4147bcc45cba0e225f87a30878810", "title": "Research Advances in Face Recognition", "year": "2009", "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": "c6ecb8e20250e3fa8ef2a5edd8fad4131f3e874f", "title": "EigenBody : Analysis of body shape for gender from noisy images", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c6ec/b8e20250e3fa8ef2a5edd8fad4131f3e874f.pdf"]}, {"id": "62c425be3e07e076d1339d1f2fe2ed319a859f02", "title": "Face Recognition & Gender Determination Using LIPS .", "year": 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Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.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": "56c448434df9f01de306815122f6517a33235e22", "title": "Label propagation through sparse neighborhood and its applications", "year": "2012", "pdf": []}, {"id": "db326135c998b7f1f6ae61de015f09e90206d3ff", "title": "Real-time integrated face detection and recognition on embedded GPGPUs", "year": "2014", "pdf": ["http://www.estimedia.org/past/ESTIMedia2014/docs/2_R3.1_real_time_integrated_face_detection.pdf"]}, {"id": "27e0684fa5b57715162ac6c58a6ea283c7db1719", "title": "Select eigenfaces for face recognition with one training sample per subject", "year": "2004", "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": "214ac8196d8061981bef271b37a279526aab5024", "title": "Face Recognition Using Smoothed High-Dimensional Representation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/214a/c8196d8061981bef271b37a279526aab5024.pdf"]}, {"id": "ad6bcf4384a7604b6252a6eeefade4c486b01240", "title": "Cluster-Based Distributed Face Tracking in Camera Networks", "year": "2010", "pdf": 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for face recognition using data mining tools", "year": "2012", "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": "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": "a46b950e1aa97ab3033d8a21fabb1952fb7eb5ce", "title": "Mixtures of boosted classifiers for frontal face detection", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/a46b/950e1aa97ab3033d8a21fabb1952fb7eb5ce.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": "a2611b92b000d4a0d9918ff282c719dc7f82c600", "title": "Genetic-Based Type II Feature Extraction for Periocular Biometric Recognition: Less is More", "year": "2010", "pdf": []}, {"id": "47795cbf06a2cc40bf961caa600a491691692dfe", "title": "Embedded face recognition based on fast genetic algorithm for intelligent digital photography", "year": "2006", "pdf": []}, {"id": "dc2c353fa43a75ec92327e323ba5715c400bf92b", "title": "Face Recognition in Hyperspectral Images", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/dc2c/353fa43a75ec92327e323ba5715c400bf92b.pdf"]}, {"id": "f5450d5b7c9352deaa1926feb240f644cf27bc23", "title": "Down-Sampling Face Images and Low-Resolution Face Recognition", "year": "2008", "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": "af54dd5da722e104740f9b6f261df9d4688a9712", "title": "Portability: A New Challenge on Designing Family Image Database.", "year": "2010", "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": "6163381244823241373f6741a282f2c4a868b59c", "title": "Multimodal biometrics for identity documents (MBioID).", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6163/381244823241373f6741a282f2c4a868b59c.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": "3c1416dd18bededa58d3ac6d2e1f3658ef6cf961", "title": "Active-vision system for multi-target surveillance", "year": "2005", "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": "8c98f67bb17c94d4d7392dba0774e2e931451db6", "title": "Gender recognition from facial images: two or three dimensions?", "year": "2016", "pdf": []}, {"id": "3eafadfd496f63df4eabbde15fe1add55d82ee53", "title": "Matching pursuit filters applied to face identification", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/3eaf/adfd496f63df4eabbde15fe1add55d82ee53.pdf"]}, {"id": "0d38a1bc4ee43d04ff7dbcd612284098d7d5a830", "title": "First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.08046.pdf"]}, {"id": "d9984fac91cb4f469cf36f140b6c8c07c45afe6f", "title": "Face Recognition Using LAPP Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d998/4fac91cb4f469cf36f140b6c8c07c45afe6f.pdf"]}, {"id": "92f57973d84404505fdaac530d0009b7bafdae68", "title": "Two-Dimensional-Oriented Linear Discriminant Analysis for Face Recognition", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/dd95/7462396f06a788a50f93aeda258ddc8ad605.pdf"]}, {"id": "4338ccdbc0407d0ee8fda202c251163e7be49c90", "title": "Cost Component Analysis", "year": "2003", "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": "eedd405b9c44da778ed3246ec3df2d5b26ca0f7f", "title": "Multiple features facial image retrieval by spectral regression and fuzzy aggregation approach", "year": "2011", "pdf": []}, {"id": "5ce63df36f893d2ea13b58a20e58ebc0854ef4f8", "title": "A Kernel Two-Phase Test Sample Sparse Representation for Face Recognition", "year": "2016", "pdf": []}, {"id": "b4a16fe1469f2048d031db626b7cbc5bec7f4055", "title": "ONLINE FACIAL CARICATURE GENERATOR", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b4a1/6fe1469f2048d031db626b7cbc5bec7f4055.pdf"]}, {"id": "d4b88be6ce77164f5eea1ed2b16b985c0670463a", "title": "A Survey of Different 3 D Face Reconstruction Methods", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/d4b8/8be6ce77164f5eea1ed2b16b985c0670463a.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": "d8d274e679d8ead02a38fb2d6b3c100ccf99fdde", "title": "An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods", "year": "2013", "pdf": ["http://www.reev.us/pdfs/rivas2014algorithm.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": "5efbb135fd3a49de6ca1b69ef583d1bcfe761043", "title": "APPLICATION OF SUPPORT VECTOR MACHINES IN AUTOMATIC HUMAN FACE RECOGNITION", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/5efb/b135fd3a49de6ca1b69ef583d1bcfe761043.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": "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": 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"year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4850/e40b0e69e30723cb027fdc4a38ee1322589b.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": "6d994076a6ef3b6e74e2a0149af759e48b71f9a0", "title": "Could dynamic attractors explain associative prosopagnosia?", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6d99/4076a6ef3b6e74e2a0149af759e48b71f9a0.pdf"]}, {"id": "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "title": "Indian Face Age Database: A Database for Face Recognition with Age Variation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/025e/4cf3fd3fdeced91e9373b56ee14af7ca432c.pdf"]}, {"id": "537fbb3d5216333bcc91730f3ee61ff71f710e37", "title": "An Improved Face Recognition Algorithm Using Quantized DCT Coefficients", "year": "2011", "pdf": []}, {"id": "7a99b250f070e5adba3ed9483ea7ea47fc71ac8c", "title": "Efficient face recognition using wavelet-based generalized neural network", "year": "2013", "pdf": []}, {"id": "1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": []}, {"id": "15dc50e3bd1063c3760e1c17177a0e898175c61e", "title": "Visual routines for eye location using learning and evolution", "year": "2000", "pdf": []}, {"id": "8f077eeeb9678a31e77a17a5c28c36699cf13f83", "title": "Gender classification of faces using adaboost", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/8f07/7eeeb9678a31e77a17a5c28c36699cf13f83.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": "d7b6bbb94ac20f5e75893f140ef7e207db7cd483", "title": "griffith . edu . au Face Recognition across Pose : A Review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d7b6/bbb94ac20f5e75893f140ef7e207db7cd483.pdf"]}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"]}, {"id": "7166c7a4d1e90876899d61e3fa4e30beb5f1ec9e", "title": "State of The Art In 3 D Face Recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/1020/c3360cd369cdd683d55c0c5ef0d9cfb71fb1.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": "abf0e3ce602287875a2d1ddf1bb4ab76eceab977", "title": "Face recognition using generalized self organising map based on PCNN features", "year": "2015", "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": "3b1f8bf9e41b29d38968144ae9b2ae13a9bde731", "title": "Recognition invariance obtained by extended and invariant features", "year": "2004", "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": "8016233d289f4d7da40f3fcae550b29dce2acfc1", "title": "Effective features inspired from Ventral and dorsal stream of visual cortex for view independent face recognition", "year": "2016", "pdf": 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"http://parnec.nuaa.edu.cn/papers/journal/2004/schen-PRL04.pdf", "http://parnec.nuaa.edu.cn/zhangdq/prl04.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": "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": "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": "749146938bb9c953348e105acde9f261f15fb2cd", "title": "Learning the best 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["http://mirlab.org/conference_papers/International_Conference/ICASSP%202009/pdfs/0000885.pdf"]}, {"id": "ccf05c83dc1d9cfe2ef34d44e993980906720548", "title": "Gabor-Eigen-Whiten-Cosine: a robust scheme for face recognition", "year": "2005", "pdf": ["http://perso.telecom-paristech.fr/~chollet/Biblio/Articles/Domaines/BIOMET/Face/AMFG/Gaborb67g3j5494461t86.pdf"]}, {"id": "69f638309fe692f7d57a72d2df8fe2bf1d81dff4", "title": "A Study of Artificial Personality from the Perspective of the Observer", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/69f6/38309fe692f7d57a72d2df8fe2bf1d81dff4.pdf"]}, {"id": "9e194413f10ea3385f063de87e15287072ac357b", "title": "An a-contrario Approach for Face Matching", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e19/4413f10ea3385f063de87e15287072ac357b.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": "fa4a215cf6ae71c2c939375db7f5318f644c976a", "title": "Faces forming traces: Neurophysiological correlates of learning naturally distinctive and caricatured faces", "year": "2012", "pdf": []}, {"id": "55924c83e71fef6ba8031715df72e1d85cfb1516", "title": "Robust pose invariant face recognition using coupled latent space discriminant analysis", "year": "2012", "pdf": ["http://www.cs.umd.edu/~bhokaal/files/documents/ADMCLS_CVIU.pdf", "http://www.umiacs.umd.edu/~jhchoi/paper/cviu2012_full.pdf"]}, {"id": "c41afaf882de1c7a94c05f881a7416bb60cfd0e8", "title": "Sex, cheating, and disgust: enhanced source memory for trait information that violates gender stereotypes.", "year": "2013", "pdf": []}, {"id": "99cf068a2c453785ebd1b109ccfa158bd3b62803", "title": "Racial stereotypes and interracial attraction: phenotypic prototypicality and perceived attractiveness of Asians.", "year": "2011", "pdf": 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["http://www.cmlab.csie.ntu.edu.tw/~ked/review.pdf"]}, {"id": "88740da3333ec14281a6defb55fff7c28025a758", "title": "Gender and gaze gesture recognition for human-computer interaction", "year": "2016", "pdf": ["http://eprints.uwe.ac.uk/28497/3/CVIU_revision_3.pdf"]}, {"id": "b14fb84db85ab4bbbcc8c92200e9c69b00737f91", "title": "A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b14f/b84db85ab4bbbcc8c92200e9c69b00737f91.pdf"]}, {"id": "0d47b2b65c5c42291e90c591212e4e0b574a95c1", "title": "An adaptive hybrid pattern for noise-robust texture analysis", "year": "2015", "pdf": []}, {"id": "aa17a5e76ae21d0d068c7f10a4bb24c19888b685", "title": "SPARSE BAYESIAN LEARNING IN CLASSIFYING FACE FEATURE VECTORS", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/aa17/a5e76ae21d0d068c7f10a4bb24c19888b685.pdf"]}, {"id": "c9fddfbb8fd4b83421cddfc1495dfb4bb1f9ddbd", "title": "A massively parallel algorithm for local binary pattern based face recognition", "year": "2006", "pdf": []}, {"id": "326611cbfaea5a413c6f9496bf96b27267a7f273", "title": "\u201cWhitenedfaces\u201d Recognition With PCA and ICA", "year": "2007", "pdf": []}, {"id": "e181aca6e4b7142d2254a93477170e75c335d616", "title": "A Combined SIFT / SURF Descriptor for Automatic Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e181/aca6e4b7142d2254a93477170e75c335d616.pdf"]}, {"id": "aa9b924c88b75909871585cbadbed2d76df7dbdf", "title": "The effects of item familiarity on the neural correlates of successful associative memory encoding.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/aa9b/924c88b75909871585cbadbed2d76df7dbdf.pdf"]}, {"id": "1aab5662f57ceb813fbe5233f8b6fb5868f5d9fe", "title": "Sources of interference in recognition testing.", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/de29/aceb764c55946d11a9777c1d9f4edb320f50.pdf"]}, {"id": "70769def1284fe88fd57a477cde8a9c9a3dff13f", "title": "Adaptive feature representation for robust face recognition using context-aware approach", "year": "2007", "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": "3f4b8fe5edfac918c1c74317242b2d91346d5fb6", "title": "Adaptive discriminant analysis for face recognition from single sample per person", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/3f4b/8fe5edfac918c1c74317242b2d91346d5fb6.pdf"]}, {"id": "84844478ac95e3dab92f0d574688aa468a84961f", "title": "Skin segmentation for robust face image analysis", "year": "2008", "pdf": ["https://edoc.unibas.ch/795/1/DissB_8364.pdf"]}, {"id": "31abc53cfaeb5181765917dba03c85a9e8de3c26", "title": "The Racially Diverse Affective Expression (RADIATE) Face Stimulus Set", "year": "2018", "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": "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": "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": "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": "87ba4cce558c2defde90f4b42853262fd572ca3e", "title": "Silhouette estimation.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/87ba/4cce558c2defde90f4b42853262fd572ca3e.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": "bd766fb148c419673778cd026a8c4e8c5e4696d2", "title": "Evaluation of wavelet based linear subspace techniques for face recognition", "year": "2008", "pdf": []}, {"id": "89d4f8bde129198f41f454b2fd9bf29fce809fdb", "title": "Face detection using discriminating feature analysis and support vector machine in video", "year": "2004", "pdf": []}, {"id": "76b9fe32d763e9abd75b427df413706c4170b95c", "title": "Gabor 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method for local matching Gabor face classifier", "year": "2010", "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": "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": "64d795ac6b90f1b7dd227e7e8f24a614d18aecfc", "title": "Integrating monomodal biometric matchers through logistic regression rank aggregation approach", "year": "2008", "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": "110a6a5304c6773773a0cd217f3e9d540b2f698d", "title": "Gender Recognition Based On Combining Facial and Hair Features", "year": "2013", "pdf": []}, {"id": "0c852df66ccd97f42317b8c021424ca6f93721b7", "title": "Modeling face appearance with nonlinear independent component analysis", "year": "2004", "pdf": []}, {"id": "cb2470aade8e5630dcad5e479ab220db94ecbf91", "title": "Exploring Facial Differences in European Countries Boundary by Fine-Tuned Neural Networks", "year": "2018", "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": "2f1c3257ced690a0e1c38ddf7792e36b24fcc8fb", "title": "Selective local texture features based face recognition with single sample per class", "year": 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"3333b35ddb698be76dd27bffad131c1daa694bf2", "title": "Comparing Robustness of Two-Dimensional PCA and Eigenfaces for Face Recognition", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/3333/b35ddb698be76dd27bffad131c1daa694bf2.pdf"]}, {"id": "d590ca357910532cc62eeacc56af8f86b9fe642b", "title": "Metric Spaces Library", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d590/ca357910532cc62eeacc56af8f86b9fe642b.pdf"]}, {"id": "a78cf9ee6571b99c74e330dfe8d357e51fd8cd28", "title": "Random subspace support vector machine ensemble for reliable face recognition", "year": "2014", "pdf": []}, {"id": "2d28fdb8e067b15c70a02729f49b23d75551a300", "title": "Gabor Wavelet Feature Based Face Recognition Using the Fractional Power Polynomial Kernel Fisher Discriminant Model", "year": "2007", "pdf": []}, {"id": "35047c9667a4c5160f9f40f16b455839e63662ff", "title": "Color Object Recognition Based on a Clifford Fourier Transform", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/5fce/66e13c7534c82525e614c61b28286fb9f673.pdf"]}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.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": "b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1", "title": "Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.09518.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": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.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": "30457461333c8797457c18636732327e6dde1d04", "title": "Gender classification system for half face images using multi manifold discriminant analysis", "year": "2017", "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": "3fbd68d1268922ee50c92b28bd23ca6669ff87e5", "title": "A shape- and texture-based enhanced Fisher classifier for face recognition", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/f563/6a8021c09870c350e7505c87625fe1681bd4.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": "0328b975b11fd4153010535d1a06cf618f9b0c91", "title": "Evaluating the complexity of databases for person identification and verification", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/0328/b975b11fd4153010535d1a06cf618f9b0c91.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": "076c97826df63f70d55ea11f0b7ae47a7ad81ad3", "title": "A Robust Face Recognition Algorithm Using Markov Stationary Features and Adjacent Pixel Intensity Difference Quantization Histogram", "year": "2011", "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": "f77563386ac293620ce2b90b5d7250ab5d8f9f50", "title": "Regression-based Hypergraph Learning for Image Clustering and Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04150.pdf"]}, {"id": "8028b9bc85b64f3b93d936ab2bd05ccf64a92bc3", "title": "Enhancement of face-sensitive ERPs in older adults induced by face recognition training", "year": "2018", "pdf": []}, {"id": "af6b14c0bf427b22baffc06a0bd515b30649d8c3", "title": "Face recognition using kernel scatter-difference-based discriminant analysis", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/af6b/14c0bf427b22baffc06a0bd515b30649d8c3.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": "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": "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": "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": "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": "085913122bb75391ea8c73f2625f4679fe9cb3b1", "title": "Vector array based Multi-View Face Detection with compound exemplars", "year": "2012", "pdf": []}, {"id": "0c4a139bb87c6743c7905b29a3cfec27a5130652", "title": "The FERET Verification Testing Protocol for Face Recognition Algorithms", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/8d2a/1c768fce6f71584dd993fb97e7b6419aaf60.pdf"]}, {"id": "c83dba889132f0d2b909474e5e187f254bd09e29", "title": "Fourier Power Spectrum Characteristics of Face Photographs: Attractiveness Perception Depends on Low-Level Image Properties", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c83d/ba889132f0d2b909474e5e187f254bd09e29.pdf"]}, {"id": "7eed1dbf1d09dd48f75ae25c5e39182afae6862f", "title": "A New Performance Evaluation Method for Face Identification - Regression Analysis of Misidentification Risk", "year": "2007", "pdf": []}, {"id": "d6dab84451254d7fbb5b9e1d40a7d2a92dec13b3", "title": "Enhanced Local Binary Patterns for Automatic Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03349.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": "a66d99ea07f72281a6e510eb2a9fd4b0973e16d0", "title": "Object Localization Based on Global Structure Constraint Model and Optimal Algorithm", "year": "2008", "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": "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": "bad65ef11c58c3660febb98abbe9f86e2b8fce11", "title": "Object Localization Based on Mutual Information in Global Structure Constraint Model", "year": "2008", "pdf": []}, {"id": "c45183ec95f89aff793a2629a0520006b4153d6a", "title": "Entropy-based template analysis in face biometric identification systems", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c451/83ec95f89aff793a2629a0520006b4153d6a.pdf"]}, {"id": "f07468f7b23a4b5740787a7d9d2c7706991b51ed", "title": "A Continuos Learning for a Face Recognition System", "year": "2011", "pdf": []}, {"id": "a044dc0ff3fa2a8f0a80afff9eb2cbc762996e3b", "title": "An Efficient Face Recognition System Based On the Hybridization of Pose Invariant and Illumination Process", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a044/dc0ff3fa2a8f0a80afff9eb2cbc762996e3b.pdf"]}, {"id": "0398471b52cac8dced1468502cb782dbeb38130d", "title": "Robust hierarchical image representation using non-negative matrix factorisation with sparse code shrinkage preprocessing", "year": "2002", "pdf": ["http://nipg.inf.elte.hu/publications/szatmary03robust.pdf"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.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": "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": "e194cb0077bf84eeb627b7772336421064a36b54", "title": "Local Binary Patterns for Gender Classification", "year": "2015", "pdf": []}, {"id": "591db404f6d8e3f37c12752b0f9173ff1a475598", "title": "Eigentransformation-based face super-resolution in the wavelet domain", "year": "2012", "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": "68d7be102d8b298d172d120d5a7ae1bfd5b8ffb9", "title": "(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition", "year": "2005", "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": "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": "0ba67a76c6e7d37d3fdc0017cd40a68e503168f1", "title": "Improve recognition performance by hybridizing principal component analysis (PCA) and elastic bunch graph matching (EBGM)", "year": "2014", "pdf": []}, {"id": "9401465784cb5107cabb87d7c2ffc0a594e1dafe", "title": "Generalized YAST algorithm for signal subspace tracking", "year": "2015", "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": "0098f42c6f24d5e6d2471c1d7d1e864ff8e83226", "title": "Review on Face Recognition across Age Progression", "year": "2017", "pdf": 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"pdf": ["https://pdfs.semanticscholar.org/bef2/854893462ae28bdb2243bba4d010d3909289.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": "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": "7aa83aee1e8b2da7ec90c67e63161c24e85f4ba1", "title": "Face Image Classification by Pooling Raw Features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1406.6811.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": 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"Robust human authentication using appearance and holistic anthropometric features", "year": "2010", "pdf": []}, {"id": "a1ef8f589b8c1257d3737044f0e96503ae0a41b0", "title": "Gender classification by combining clothing, hair and facial component classifiers", "year": "2012", "pdf": []}, {"id": "a35849af340f80791c4a901ec2f2bbbac06660f5", "title": "Illumination compensation for face recognition by genetic optimization of the Self-Quotient Image method", "year": "2009", "pdf": []}, {"id": "077492a77812a68c86b970557e97a452a6689427", "title": "Automatic 3D face reconstruction from single images or video", "year": "2008", "pdf": ["http://eprints.pascal-network.org/archive/00004333/01/FG2008-Breuer_%5B0%5D.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/FG2008-Breuer_%5B0%5D.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/mpik-tr-160_4380%5B0%5D.pdf", "http://mi.informatik.uni-siegen.de/publications/fg08_BreuerEtAl.pdf"]}, {"id": "31fd53c2942135e35f83566d58e693ffedec2369", "title": "Face pose discrimination using support vector machines (SVM)", "year": "1998", "pdf": ["http://www.ecse.rpi.edu/homepages/qji/Papers/svmpose.pdf", "https://www.ecse.rpi.edu/~qji/Papers/svmpose.pdf"]}, {"id": "cc098a0f390573237f2f7211ccf0643cd1ef3c66", "title": "Representations of Face Images and Collaborative Representation Classification for Face Recognition", "year": "2018", "pdf": []}, {"id": "2713cafcf3d0aafb558d13217d649c93fadca56a", "title": "Multiple classifier implementation of a divide-and-conquer approach using appearance-based statistical methods for face recognition", "year": "2004", "pdf": []}, {"id": "dabd3f276bc815865ab7c9f375368a1e31903860", "title": "Deformable face mapping for person identification", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/46a0/c83df32cf3bbdfe51baac248affe143fd027.pdf"]}, {"id": "cde7901c0945683d0c677b1bb415786e4f6081e6", "title": "A Survey of 2D Face Databases", "year": "2015", "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": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": []}, {"id": "b1a40665eb4c0a4c6978e84539ece1c0f406b8f5", "title": "Human Visual System Based Framework For Gender Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b1a4/0665eb4c0a4c6978e84539ece1c0f406b8f5.pdf"]}, {"id": "fd7c9d90ade72ad96990b284004f672a482029d6", "title": "Local Gabor phase difference pattern for face recognition", "year": "2008", "pdf": []}, {"id": "612b8eda338fcde9400ea93779741282fe4132d6", "title": "Scheming an efficient facial recognition system using global and random local feature extraction methods", "year": "2017", "pdf": []}, {"id": "ce85d953086294d989c09ae5c41af795d098d5b2", "title": "Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction", "year": "2007", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2007/NN07_feature.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": "35917932a9a82abe1ea6f2c66d456612a3a182e0", "title": "Robust detection of semantically equivalent visually dissimilar objects", "year": "2008", "pdf": []}, {"id": "323ff022256bdcad43042f3c12f749598ca66338", "title": "Static and Dynamic Facial Cues Differentially Affect the Consistency of Social Evaluations.", "year": "2015", 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"https://api.intechopen.com/chapter/pdf-download/17751"]}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": []}, {"id": "299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0", "title": "Face recognition by independent component analysis", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/8d3c/93a160e6fc71ca4462f0e0a25bc75f4debae.pdf"]}, {"id": "5860cf0f24f2ec3f8cbc39292976eed52ba2eafd", "title": "COMPUTATION EvaBio : A TOOL FOR PERFORMANCE EVALUATION IN BIOMETRICS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5860/cf0f24f2ec3f8cbc39292976eed52ba2eafd.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": "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": "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": "1a66f37f37e4fbf9a8e657853933539256bbda88", "title": "Spectral Clustering by Joint Spectral Embedding and Spectral Rotation.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a66/f37f37e4fbf9a8e657853933539256bbda88.pdf"]}, {"id": "eec466317c83e8093a32b978e753c3fc8f21d21b", "title": "Performance Characterization in Computer Vision A Tutorial", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/eec4/66317c83e8093a32b978e753c3fc8f21d21b.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": "6d10c110adaa381084c0b8ed2fd391d1fcd84a03", "title": "Feature Extraction Based on Equalized ULBP for Face Recognition", "year": "2012", "pdf": []}, {"id": "3ce0f48106fd872e2c2327596c2677c4680444a2", "title": "Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person Authentication.", "year": "2002", "pdf": []}, {"id": "13425bb41d326982ec6b3c6f3034aa978a1300ac", "title": "Face Recognition for Smart Environments", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/1342/5bb41d326982ec6b3c6f3034aa978a1300ac.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": "bdbded88916307e282a22dadb7954a4942300908", "title": "Lean histogram of oriented gradients features for effective eye 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Recognition under Variable Lighting and Pose", "year": "2001", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1487&rep=rep1&type=pdf", "http://ugweb.cs.ualberta.ca/~vis/courses/CompVis/readings/photometric/AthosBelhumeurFaceLight.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/pami01.pdf", "http://vision.ucsd.edu/sites/default/files/pami01.pdf", "http://www.cs.columbia.edu/~belhumeur/journal/few2many-pami01.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": "6dd850acb928457ffd44e5d9dceb7946a7f0c6ee", "title": "Template-based matching using weight maps", "year": "2011", "pdf": ["https://arxiv.org/pdf/1104.2059.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": "05a35959c6822155bee927305e799613ce99cc2f", "title": "New valve and bonding designs for microfluidic biochips containing proteins.", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/05a3/5959c6822155bee927305e799613ce99cc2f.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": "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": "59ec9bef0d331444db7d763960095213eecb3b20", "title": "INVARIANT FACE RECOGNITION IN A NETWORK OF CORTICAL COLUMNS", "year": "2008", "pdf": []}, {"id": "f4eb8d918def78f79adbb51d11c81793d5bcf0f4", "title": "Feature extraction and information fusion in face and palmprint multimodal biometrics", "year": "2013", "pdf": []}, {"id": "c126f053855396f9e1ac1a408201d50d5280f79f", "title": "FPGA implementation of an embedded face detection system based on LEON 3", "year": "2012", 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{"id": "478f1dd9eb44b8de17fc3a7a0e45861fe7bf0fe3", "title": "An efficient face recognition for variant illumination condition", "year": "2004", "pdf": []}, {"id": "00d931eccab929be33caea207547989ae7c1ef39", "title": "The natural input memory model", "year": "2005", "pdf": []}, {"id": "3909f51a6850436d7e1e27ca2a16d6db49773870", "title": "Using classifier ensembles to label spatially disjoint data", "year": "2008", "pdf": ["http://www3.nd.edu/~kwb/ShoemakerBanfieldEtAlInfoFusion_2007.pdf", "https://www3.nd.edu/~kwb/Shoemaker_Banfield_EtAl_Info_Fusion_2007.pdf"]}, {"id": "7be351e731eb9c3b71ad0c2a47ee8d300f7049be", "title": "Recognition for Objects by Relationships Between Attributes", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7be3/51e731eb9c3b71ad0c2a47ee8d300f7049be.pdf"]}, {"id": "2cf40b684c0cb789ed8d9f8eee0576f3b3fec98e", "title": "Robust Selectivity for Faces in the Human Amygdala in the Absence of Expressions", "year": "2013", "pdf": 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Composite Sketch Database", "year": "2016", "pdf": []}, {"id": "ed12b0a9d2bf6316b32a2bd143f33a85582dc91b", "title": "Determining Optimal Malsburg Gabor Kernel for Efficient Non-Rigid Object Recognition", "year": "2007", "pdf": []}, {"id": "940865fc3f7ee5b386c4188c231eb6590db874e9", "title": "Security and Surveillance System for Drivers Based on User Profile and learning systems for Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9408/65fc3f7ee5b386c4188c231eb6590db874e9.pdf"]}, {"id": "a432f815d753121267ffb524f8fabac21be32733", "title": "Proyecto Aguar\u00e1 : Automatic Face Recognition", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/a432/f815d753121267ffb524f8fabac21be32733.pdf"]}, {"id": "614524b27188bb8869ec7a5b374c2a9874f96ec5", "title": "A new covariance estimate for Bayesian classifiers in biometric recognition", "year": "2004", "pdf": ["http://dev.pubs.doc.ic.ac.uk/maximum-entropy-covariance-estim/maximum-entropy-covariance-estim.pdf", "http://pubs.doc.ic.ac.uk/maximum-entropy-covariance-estim/maximum-entropy-covariance-estim.pdf"]}, {"id": "2eb610d67ac07136fce4d9633edc28548aab76c8", "title": "The Good, the Bad, and the Ugly Face Challenge Problem", "year": "2012", "pdf": ["http://bbs.utdallas.edu/facelab/publications/pdf/2012_Phillips_IVC.pdf", "http://www.cs.colostate.edu/~draper/papers/phillips_ivc12.pdf", "http://www.cs.colostate.edu/~vision/publications/phillips_ivc12.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=910476", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=910476"]}, {"id": "33648b41b4c9a776dc059bee96d6df994009828c", "title": "Memory and Perception-based Facial Image Reconstruction", "year": "2017", "pdf": []}, {"id": "432e097b6212c1a37e5d05f0d6f5a8c44746cde6", "title": "Hachage de photographie d\u2019identit\u00e9 : une approche globale", "year": "2011", "pdf": []}, {"id": "fd6d4673178cbecba3b2535c740f28cbdf901f13", "title": "Local Directional Pattern (LDP) \u2013 A Robust Image Descriptor for Object Recognition", "year": "2010", "pdf": []}, {"id": "75f0d2d8aae00da73e4122c712ad230cfebe7729", "title": "AMassively Parallel Face Recognition System", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/d760/a57c3fabc3db871e0650a44de82811551488.pdf"]}, {"id": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": []}, {"id": "24d3e695af619e88613aba7dc0e7492c12fa4d0e", "title": "Sparsest Matrix based Random Projection for Classification", "year": "2013", "pdf": ["https://arxiv.org/pdf/1312.3522.pdf"]}, {"id": "e825811cfd92a8be5be2caee67fc7a48ed2f5df0", "title": "Meta-Analysis of Face Recognition Algorithms", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/e825/811cfd92a8be5be2caee67fc7a48ed2f5df0.pdf"]}, {"id": "2e2935a7489ae55fe36af6980523f8d587c18935", "title": "On testing methods for biometric authentication", "year": "2003", "pdf": 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Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.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": "2713423d87d011c0a5aae99bef57523769121a1d", "title": "A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2713/423d87d011c0a5aae99bef57523769121a1d.pdf"]}, {"id": "6890f210cdc574caa89fa94933ec942360aa1e0c", "title": "How effective are landmarks and their geometry for face recognition?", "year": "2006", "pdf": []}, {"id": "891b31be76e2baa83745f24c2e2013851dc83cbb", "title": "Improved Face Representation by Nonuniform Multilevel Selection of Gabor Convolution Features", "year": "2009", "pdf": []}, {"id": "f59ccad6b7f76bd8cd5d6bbf867b2236c9b01e02", "title": "Comparison of three face recognition algorithms", "year": "2012", "pdf": []}, {"id": "2e5291fc3c0c0c6ac3a6459d63416ca6eca3cad9", "title": "Learning to see: genetic and environmental influences on visual development", "year": "2002", "pdf": []}, {"id": "c20ac2441e6ec29ae926d3c5605b71ce10ef6dff", "title": "Heterogeneous image transformation", "year": "2013", "pdf": ["https://nannanwang.github.io/My_Papers/PRL2013.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": "47d32615dc396dece539b664969d2e102f5b0f63", "title": "Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction", "year": "2015", "pdf": []}, {"id": "3e72a9a5b7d184b72771ea4519cf9fa0253cdecd", "title": "Spatial maps in frontal and prefrontal cortex", "year": "2006", "pdf": 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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": "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": "ff60f453888ac00a0e0b6f1649c1a699515a955f", "title": "Fast and Accurate Face Recognition Using Support Vector Machines", "year": "2005", "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": 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"1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face recognition", "year": "2011", "pdf": ["http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf"]}, {"id": "ccc874b0d73690d18a84229f40af438696fb1b27", "title": "Agent-based active-vision system reconfiguration for autonomous surveillance of dynamic, multi-object environments", "year": "2005", "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": "cac24ea3b301c4aba0f84470b175198c10d03199", "title": "Study of the Changing Trends in Facial Expression Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/f411/e3c58f2036b3c1e1c251e7143ecd435e4b91.pdf"]}, {"id": "d84d48f842d271fe3e02da1a55d8137da5d4b756", "title": "Feature Extraction and Dimensionality Reduction Using Radon and Fourier Transforms with Application to Face Recognition", "year": "2007", "pdf": []}, {"id": "b55058e3a67677206f0b0816abf980ecebbfef86", "title": "Optimized features selection for gender classification using optimization algorithms", "year": "2013", "pdf": ["http://journals.tubitak.gov.tr/elektrik/issues/elk-13-21-5/elk-21-5-19-1203-51.pdf"]}, {"id": "8d5945ef2361511a17719c9efe9e2d005247029e", "title": "Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Look Ma ! No Network ! : PCA of Gabor Filters Models the Development of Face Discrimination Permalink", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/8d59/45ef2361511a17719c9efe9e2d005247029e.pdf"]}, {"id": "96813c14f3de1b8f7472caff7a99b4145267f25c", "title": "Argus: the digital doorman", "year": "2001", "pdf": ["http://www.cs.cmu.edu/~rahuls/pub/ieee-is-rahuls.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": "4707175ebc50e4036412f441a7cec6673c4ad31f", "title": "Analysis and Comparison of Eigenspace-Based Face Recognition Approaches", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/71f6/49ba0e46684a9f0c223d65c28b61bed38297.pdf"]}, {"id": "1176a74fb9351ac2de81c198c4861d78e58f172d", "title": "Homomorphic filtering based illumination normalization method for face recognition", "year": "2011", "pdf": []}, {"id": "311848708312ccceaaeb82bb7dce31db5e63a7ed", "title": "Spatial But Not Oculomotor Information Biases Perceptual Memory: Evidence From Face Perception and Cognitive Modeling", "year": "2017", "pdf": []}, {"id": "b6c0397fc911e12519655ec1eb1074574ae6f290", "title": "Feature Subspace Estimation for Resolving Dimensionality Mismatch in Practical Color-Based Face 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": "132cc530230cb869318b0a9d81a717077895db38", "title": "Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/132c/c530230cb869318b0a9d81a717077895db38.pdf"]}, {"id": "aaa4c625f5f9b65c7f3df5c7bfe8a6595d0195a5", "title": 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APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a3dc/109b1dff3846f5a2cc1fe2448230a76ad83f.pdf"]}, {"id": "59c194bc84d604baf09241238dc47806a998df70", "title": "Building a post-compression region-of-interest encryption framework for existing video surveillance systems", "year": "2015", "pdf": ["http://wavelab.at/papers/Unterweger15a.pdf"]}, {"id": "fb36f2badc18977f469fb8b8be54a4a6f9ba1068", "title": "Nearest Feature Line: A Tangent Approximation", "year": "2008", "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": "3172fac25c7bd516867933487b8f04c0e23b4f43", "title": "On-line learning parts-based representation via incremental orthogonal projective non-negative matrix factorization", "year": "2013", "pdf": []}, 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invariant features", "year": "2001", "pdf": ["http://visgraph.cs.ust.hk/biometrics/Papers/Face/pr2001-1-1.pdf"]}, {"id": "5fce9d893a40c4e0f2ae335b2e68bfd02f1cb2c6", "title": "A Methodology for Detecting Faces from Different Views", "year": "2012", "pdf": []}, {"id": "fb1919aeaa26f2c559268c52deb68463ee58abee", "title": "Local matching Gabor entropy weighted face recognition", "year": "2011", "pdf": []}, {"id": "ca30c8f28642303e8f9095fa5d1e908f194cd586", "title": "Nonparametric maximum margin criterion for face recognition", "year": "2005", "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"]}, {"id": "23adc523fc790aa0ca450f73a44b71a792bdc85b", "title": "Classification in an informative sample subspace", "year": "2008", "pdf": ["http://ima.ac.uk/papers/qiu2008b.pdf", 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Recognition Using Patched Geodesic Texture Transform", "year": "2010", "pdf": ["http://www98.griffith.edu.au/dspace/bitstream/handle/10072/37733/67709_1.pdf?sequence=1", "https://maxwell.ict.griffith.edu.au/cvipl/pdfs/DICTA2010b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5692572", "http://doi.ieeecomputersociety.org/10.1109/DICTA.2010.52", "http://doi.org/10.1109/DICTA.2010.52"]}, {"id": "53f8f1ddd83a9e0e0821aaa883fbf7c1f7f5426e", "title": "Face Recognition using Principal Component Analysis and Log-Gabor Filters", "year": "2006", "pdf": ["https://arxiv.org/pdf/cs/0605025.pdf"], "doi": []}, {"id": "ba09dd1844427cff803082dda7366bd966456932", "title": "Automated analysis of nonverbal behavior in depression View project Automated analysis of facial expressions View project", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ba09/dd1844427cff803082dda7366bd966456932.pdf"], "doi": []}, {"id": "dbd5e9691cab2c515b50dda3d0832bea6eef79f2", "title": 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1640611", "http://doi.org/10.1109/CVPRW.2006.49", "https://www.wikidata.org/entity/Q58424410"]}, {"id": "fb51141b3b65d823a4e8c70c9f7bd4a730694b21", "title": "Cognitive connectionist models for recognition of structured patterns.", "year": "2008", "pdf": [], "doi": []}, {"id": "d0bfcf9995fc66c77c06f843b11ef5fcb2c680bb", "title": "Cancelable Biometrics Realization With Multispace Random Projections", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4305292"]}, {"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"], "doi": []}, {"id": "19d27714c820ca7cebf8c6d5a76053b23bcfdf11", "title": "Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance", "year": "2005", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1565338", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2005.520", "http://doi.org/10.1109/CVPR.2005.520"]}, {"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"], "doi": []}, {"id": "fc9e60f370252bc9a6120a6b2c39703ac1fee810", "title": "Critical Points to Determine Persistence Homology", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06148.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "869abfc258f5512fd95da179f7d92b624900eadd", "title": "Autonomous face recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/869a/bfc258f5512fd95da179f7d92b624900eadd.pdf"], "doi": []}, {"id": "48be9300acdc484100436f32bd409a89a7dc1ef7", "title": "Chapter 4 FACE RECOGNITION AND ITS APPLICATIONS", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/48be/9300acdc484100436f32bd409a89a7dc1ef7.pdf"], "doi": []}, {"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"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0042698997004392", "http://doi.org/10.1016/S0042-6989%2897%2900439-2", "https://www.ncbi.nlm.nih.gov/pubmed/9797999"]}, {"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"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4270309", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2007.383284", "http://doi.org/10.1109/CVPR.2007.383284"]}, {"id": "1d0cbbe466647286bd73d41032a418b0e2265e7c", "title": "Fusion of face and gait for human recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1d0c/bbe466647286bd73d41032a418b0e2265e7c.pdf"], "doi": []}, {"id": "8ab2bc0f298cf595d50064a5bce57065d5b69c59", "title": "Development of Multimedia Application for Smartphones", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/da44/8a1d037f9dcd3e41a752d60df7d28df3c74b.pdf"], "doi": []}, {"id": "1746fec6b033f5fc7aa0f8c99e1f238ac3710ee9", "title": "An Extensive Survey on Feature Extraction Techniques for Facial Image Processing", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7065462"]}, {"id": "1888bf50fd140767352158c0ad5748b501563833", "title": "A GUIDED TOUR OF FACE PROCESSING", "year": "", "pdf": ["https://pdfs.semanticscholar.org/1888/bf50fd140767352158c0ad5748b501563833.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "2598c02e537b02ce181eea1aa49a698080a391a8", "title": "Improving Recognition Performance for Duplicate Facial Images", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/2598/c02e537b02ce181eea1aa49a698080a391a8.pdf"], "doi": []}, {"id": "06da0e4ae21835f0d33cfbf66c8b73b58625c57b", "title": "Facial Keypoints Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.05279.pdf"], "doi": []}, {"id": "79c0201447bb2d407dad99d8fe0a2f4703a3fb7f", "title": "Infrared Imaging Face Recognition Using Nonlinear Kernel-Based Classifiers", "year": "2004", "pdf": [], "doi": []}, {"id": "0e7862580028aa80c409b52ef1fa683444afcbcd", "title": "Reducing the Dimensionality of Face Space in a Sparse Distributed Local-Features Representation", "year": "2000", "pdf": [], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4524191", "http://doi.org/10.1155/2008%2F742504", "https://www.ncbi.nlm.nih.gov/pubmed/18317524"]}, {"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"], "doi": []}, {"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"], "doi": []}, {"id": "3199a528e5e68f48827544abee7fd6b47678dba5", "title": "Human Face Recognition Using Weighted Vote of Gabor Magnitude Filters", "year": "", "pdf": ["https://pdfs.semanticscholar.org/3199/a528e5e68f48827544abee7fd6b47678dba5.pdf"], "doi": []}, {"id": "620c3f6605e528503a99a8832200d5afdf156c20", "title": "F2ID: a personal identification system using faces and fingerprints", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/620c/3f6605e528503a99a8832200d5afdf156c20.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "0f04a95ec885cf98e7cee43eacff13de0c888d3b", "title": "The FERET September 1996 Database and Evaluation Procedure", "year": "1997", "pdf": [], "doi": ["http://doi.org/10.1007/BFb0016020"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6810000", "http://doi.org/10.1109/TPAMI.2014.2321570", "https://www.ncbi.nlm.nih.gov/pubmed/26353153", "https://www.wikidata.org/entity/Q38583602"]}, {"id": "6d28ba098f800caaa46d9273631135bd0318303a", "title": "A hierarchical Bayesian model for pattern recognition", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6252839", "http://doi.org/10.1109/IJCNN.2012.6252839"]}, {"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"], "doi": ["http://doi.org/10.1007/3-540-47979-1_1"]}, {"id": "3d42e17266475e5d34a32103d879b13de2366561", "title": "The Global Dimensionality of Face Space", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/7450/7306832bd71884365ed81e1cc7866e47c399.pdf"], "doi": []}, {"id": "80fdf9757c0e4b62dcfff03941f1951304ba002c", "title": "Geometry of face space", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/80fd/f9757c0e4b62dcfff03941f1951304ba002c.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2004.11.004"]}, {"id": "64b78b6f13c321da77e3770a748772fa837aa8c8", "title": "Parallel Architecture for Face Recognition using MPI", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/64b7/8b6f13c321da77e3770a748772fa837aa8c8.pdf"], "doi": []}, {"id": "29c7dfbbba7a74e9aafb6a6919629b0a7f576530", "title": "Automatic Facial Expression Analysis and Emotional Classification", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/29c7/dfbbba7a74e9aafb6a6919629b0a7f576530.pdf"], "doi": []}, {"id": "66e21b99ae3aeae79589d260e3daca3b04981a9c", "title": "MULTI-AGENT APPROACH TOWARDS FACE RECOGNITION", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/66e2/1b99ae3aeae79589d260e3daca3b04981a9c.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1273927", "http://doi.org/10.1109/TPAMI.2004.1273927", "https://www.ncbi.nlm.nih.gov/pubmed/15460279", "https://www.wikidata.org/entity/Q51987691"]}, {"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"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0006899314006817?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.brainres.2014.05.012", "https://www.ncbi.nlm.nih.gov/pubmed/24842002"]}, {"id": "7a7daa220b80e6f447183ab1e30531bb9eec0e0c", "title": "Survey: Subspace methods for face recognition", "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1016/j.cosrev.2009.11.003"]}, {"id": "340716ba8c6ab315a4253cb3750c74aca54dc3aa", "title": "The nature of face representations in subcortical regions", "year": "2014", "pdf": ["http://www.cnbc.cmu.edu/~behrmann/dlpapers/GabayBurlinghamBehrmann2014.pdf", "https://www.cmu.edu/dietrich/behrmannlab/Publications/GabayBurlinghamBehrmannNeuropsychologia2014.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0028393214001249?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuropsychologia.2014.04.010", "https://www.ncbi.nlm.nih.gov/pubmed/24751992"]}, {"id": "f337bbee95772584e5e082bbffa67ac184d79155", "title": "Automatic extraction of face contours in images and videos", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.future.2010.11.008"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "66ec086d1a546939b753671f192d76c06c8b207e", "title": "Non-negative Matrix Factorization on Kernels", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/66ec/086d1a546939b753671f192d76c06c8b207e.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587407", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587407", "http://doi.org/10.1109/CVPR.2008.4587407"]}, {"id": "e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e", "title": "Ear Recognition : A Complete System", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e000/dd1aec1c7b1e9e781ec7ea66f2bde72faa5e.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "578d4ad74818086bb64f182f72e2c8bd31e3d426", "title": "The MR2: A multi-racial, mega-resolution database of facial stimuli.", "year": "2016", "pdf": ["http://www.mpmlab.org/The%20MR2%20face%20database.pdf", "https://static1.squarespace.com/static/52eea0e9e4b06612bb723c25/t/56be5aab7c65e4130432987d/1455315630275/the-mr2-face-database.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26311590", "https://doi.org/10.3758/s13428-015-0641-9"]}, {"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"], "doi": []}, {"id": "2862d405f9d1e957076195b0fefd1bdfe480ca8b", "title": "Parallel implementation of eigenface on CUDA", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7012896", "http://doi.org/10.1109/ICAETR.2014.7012896"]}, {"id": "0ecb58abfe0462fecd27fd5eb0605d736e75acf6", "title": "On Classifying Facial Races with Partial Occlusions and Pose Variations", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8260710", "http://doi.org/10.1109/ICMLA.2017.00-82"]}, {"id": "fab83bf8d7cab8fe069796b33d2a6bd70c8cefc6", "title": "Draft : Evaluation Guidelines for Gender Classification and Age Estimation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fab8/3bf8d7cab8fe069796b33d2a6bd70c8cefc6.pdf"], "doi": []}, {"id": "b4e6c5942ed495c3158ef4bede9b53690b20d0a4", "title": "Eigenspace-based face recognition: a comparative study of different approaches", "year": "2005", "pdf": ["http://www.cwr.cl/webfaces/articulos/IEEETransSMSC2005.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1487580", "http://doi.org/10.1109/TSMCC.2005.848201"]}, {"id": "192e439b19824d06bb21ad6bd63cc7a55772549f", "title": "Face recognition using SURF features", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/192e/439b19824d06bb21ad6bd63cc7a55772549f.pdf"], "doi": []}, {"id": "06bcd68dcbd8f7dadc8310fa47d44bce982f4559", "title": "Multi-linear neighborhood preserving projection for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2013.08.005"]}, {"id": "0d8753db30693a000a2b704bc4f8c7209f716d66", "title": "Robust Fisher Linear Discriminant Model for Dimensionality Reduction", "year": "2006", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1699301", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.211", "http://doi.org/10.1109/ICPR.2006.211"]}, {"id": "0f1cbe4e26d584c82008ccef9fb1e4669b82de1f", "title": "Stability as performance metric for subjective pattern recognition - application of Electoral College in face recognition", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761064", "http://doi.org/10.1109/ICPR.2008.4761064"]}, {"id": "6f5486c415a6aae48fbbc546358993d551ac1cd4", "title": "The time course of individual face recognition: A pattern analysis of ERP signals", "year": "2016", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811916002020?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuroimage.2016.03.006", "https://www.ncbi.nlm.nih.gov/pubmed/26973169", "https://www.wikidata.org/entity/Q39923575"]}, {"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"], "doi": []}, {"id": "8e6f67ba883169d6103795d7366a3821843ac758", "title": "A Novel Face Recognition Algorithm with Support Vector Machine Classifier", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/8e6f/67ba883169d6103795d7366a3821843ac758.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977478", "http://doi.org/10.1109/ICPR.2014.765"]}, {"id": "4dab3522bbf33f199996069106b514badb4f900a", "title": "Multimodal Biometrics Using Cancelable Feature Fusion", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6980772", "http://doi.ieeecomputersociety.org/10.1109/CW.2014.45", "http://doi.org/10.1109/CW.2014.45"]}, {"id": "e71e9cbcd34bc169b2d6d083e925bd7f44693ca0", "title": "Performance Analysis of Face Recognition Algorithms on Korean Face Database", "year": "2007", "pdf": [], "doi": ["http://doi.org/10.1142/S0218001407005818"]}, {"id": "2a5efa83ea5c4733757b838b84ba6519f873b826", "title": "A Continuous Learning for Solving a Face Recognition Problem", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2a5e/fa83ea5c4733757b838b84ba6519f873b826.pdf"], "doi": []}, {"id": "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "title": "An Evaluation of Classification Performance for Facial Analytics on Diverse Datasets", "year": "2013", "pdf": [], "doi": []}, {"id": "5a363ac89f93377bb72af4346957ce36a01090c8", "title": "Face Recognition of Database of Compressed Images using Local Binary Patterns", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6f18/125c7db759d36e6044ddaf7a5e8eece6e233.pdf"], "doi": []}, {"id": "b6ad9d1a8038e9b4ade4d5bbb26f03e813d53071", "title": "Feature Extractions for Small Sample Size Classification Problem", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4106054", "http://doi.org/10.1109/TGRS.2006.885074"]}, {"id": "add80c86fa2e73637b5630a9e32644784e59379c", "title": "Expanding Training Data for Facial Image Super-Resolution", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7837665", "http://doi.org/10.1109/TCYB.2017.2655027", "https://www.ncbi.nlm.nih.gov/pubmed/28166514", "https://www.wikidata.org/entity/Q31159840"]}, {"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"], "doi": []}, {"id": "11554a577c225db1acb09b882e3c51d837ec2495", "title": "Sensor web geoprocessing on the grid", "year": "2011", "pdf": [], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "c924137ca87e8b4e1557465405744f8b639b16fc", "title": "Seeding Deep Learning using Wireless Localization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.10242.pdf"], "doi": []}, {"id": "d8e8730231dc0e77f3ad61385f918df3d93bd266", "title": "Efficient face detection method with eye region judgment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d8e8/730231dc0e77f3ad61385f918df3d93bd266.pdf"], "doi": []}, {"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"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1878929313000571", "http://doi.org/10.1016/j.dcn.2013.09.005", "https://www.ncbi.nlm.nih.gov/pubmed/24200421"]}, {"id": "79584ed8638392e253ffae2d5ec936239d088285", "title": "An approach to face detection and alignment using hough transformation with convolution neural network", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7748996"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540293", "http://doi.org/10.1109/TIP.2010.2063437", "https://www.ncbi.nlm.nih.gov/pubmed/20693112", "https://www.wikidata.org/entity/Q51672855"]}, {"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"], "doi": []}, {"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"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0028393213002662?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuropsychologia.2013.08.005", "https://www.ncbi.nlm.nih.gov/pubmed/23948645"]}, {"id": "8b56e33f33e582f3e473dba573a16b598ed9bcdc", "title": "A new ranking method for principal components analysis and its application to face image analysis", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.imavis.2009.11.005"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1521309"]}, {"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"], "doi": []}, {"id": "003f161768db4b70358971d40eb8e1ad535f001f", "title": "Face recognition from single sample based on human face perception", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5378360", "http://ro.uow.edu.au/cgi/viewcontent.cgi?article=9459&context=infopapers"]}, {"id": "fa2f0577f07fdbe6076ccc6e5a9f54eab5247d53", "title": "Fast PCA-based face recognition on GPUs", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6638138", "http://doi.org/10.1109/ICASSP.2013.6638138"]}, {"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"], "doi": ["http://doi.org/10.1016/j.eswa.2015.06.015", "https://www.wikidata.org/entity/Q57808995"]}, {"id": "ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3", "title": "Face Recognition Techniques : A Review", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ba7c/01e1432bffc2fcde824d0b0ebd25ad7238c3.pdf"], "doi": []}, {"id": "018eaad53804a88d894a8370a94bb6db31a30ed4", "title": "ANN based human facial expression recognition in color images", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7045337", "http://doi.org/10.1109/ICHPCA.2014.7045337"]}, {"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"], "doi": ["http://doi.org/10.1016/j.cviu.2007.09.004"]}, {"id": "53d8946fd7dcc9e35ddf92096b372c8988c0cce9", "title": "Wavelet packet analysis for face recognition", "year": "2000", "pdf": ["http://www.csd.uoc.gr/~tziritas/papers/ivc.pdf"], "doi": ["http://doi.org/10.1016/S0262-8856%2899%2900056-6", "https://doi.org/10.1016/S0262-8856(99)00056-6"]}, {"id": "bcefb15246b1c9cea74a49a4ba1c990b6b97a19c", "title": "Review on the effects of age, gender, and race demographics on automatic face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s00371-017-1428-z"]}, {"id": "dfe97eb3304660c252c94c7eed6fc1c0970191ce", "title": "Robust Discriminant Analysis of Gabor Feature for Face Recognition", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4406238", "http://doi.ieeecomputersociety.org/10.1109/FSKD.2007.490", "http://doi.org/10.1109/FSKD.2007.490"]}, {"id": "36018404263b9bb44d1fddaddd9ee9af9d46e560", "title": "OCCLUDED FACE RECOGNITION BY USING GABOR FEATURES", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/3601/8404263b9bb44d1fddaddd9ee9af9d46e560.pdf"], "doi": []}, {"id": "64699c4546b66323d4af7d1e44ddb5912991c00c", "title": "Design and Performance Evaluation of Robust Digital Audio Watermarking under Low Bits Rates", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7120590"]}, {"id": "0735e0b0266d94b670fa6e1b974d3676ef4e3e24", "title": "Face Recognition by Elastic Bunch Graph Matching", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/37ef/a1e61c4a52b191dca26e59e1ce686a89541c.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2010.10.017"]}, {"id": "13db9466d2ddf3c30b0fd66db8bfe6289e880802", "title": "Transfer Subspace Learning Model for Face Recognition at a Distance", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/13db/9466d2ddf3c30b0fd66db8bfe6289e880802.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2006.03.010"]}, {"id": "d944ff789af84cecc0a913da964e017408687d62", "title": "Image Parsing: Segmentation, Detection, and Recognition", "year": "2003", "pdf": [], "doi": []}, {"id": "25afa24d85e693351bad795ee1c3e801d10c4a15", "title": "Anisotropic Gaussian Filters for Face Class Modeling August 31 , 2006", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/25af/a24d85e693351bad795ee1c3e801d10c4a15.pdf"], "doi": []}, {"id": "a7f26379346be7c7d4b5511bad7de534c689273e", "title": "Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual Training", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8260761", "http://doi.org/10.1109/ICMLA.2017.00-31"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871642", "http://doi.org/10.1109/TPAMI.2011.112", "https://www.ncbi.nlm.nih.gov/pubmed/21646680", "https://www.wikidata.org/entity/Q45407939"]}, {"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"], "doi": []}, {"id": "726fc899b4b1ebbd607e6a0934e86383e5675440", "title": "Event-Related Potential Correlates of Long-Term Memory for Briefly Presented Faces", "year": "2005", "pdf": ["http://brain.mcmaster.ca/0506.labmeetings/joyce05.pdf", "http://kutaslab.ucsd.edu/people/kutas/pdfs/2005.JCN.757.pdf"], "doi": ["http://doi.org/10.1162/0898929053747603", "https://www.ncbi.nlm.nih.gov/pubmed/15904542", "https://www.wikidata.org/entity/Q44910769"]}, {"id": "f209ac3162ad9443f80dac257427f60913be78df", "title": "Dual LDA - an effective feature space reduction method for face recognition", "year": "2005", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1577291", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2005.1577291", "http://doi.org/10.1109/AVSS.2005.1577291"]}, {"id": "42350e28d11e33641775bef4c7b41a2c3437e4fd", "title": "Multilinear Discriminant Analysis for Face Recognition", "year": "2007", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2007/IP07_face02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4032832", "http://doi.org/10.1109/TIP.2006.884929", "https://www.ncbi.nlm.nih.gov/pubmed/17283779", "https://www.wikidata.org/entity/Q50910732"]}, {"id": "3c47022955c3274250630b042b53d3de2df8eeda", "title": "Discriminant analysis with tensor representation", "year": "2005", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2005/01467312.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1467312", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2005.131", "http://doi.org/10.1109/CVPR.2005.131"]}, {"id": "07c676e6c42df0f39966aa057a6dea67ed371264", "title": "Remembering beauty: Roles of orbitofrontal and hippocampal regions in successful memory encoding of attractive faces", "year": "2011", "pdf": ["http://cabezalab.org/wp-content/uploads/2011/11/remembering_beauty_Tsukiura2011.pdf", "http://www.csuchico.edu/~nschwartz/Remembering%20Attractive%20Faces-%20%20Roles%20of%20Orbitofrontal%20&%20hippocampal%20Regions.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811910010190?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuroimage.2010.07.046", "https://www.ncbi.nlm.nih.gov/pubmed/20659568", "https://www.wikidata.org/entity/Q34127984"]}, {"id": "6a552df527057d433b6b68cab7c2b7661132dbcc", "title": "Selection of optimized features and weights on face-iris fusion using distance images", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2015.02.011"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6572546"]}, {"id": "217d22a63b45bb5960c614ede827fb5c532e0add", "title": "Neural mechanisms of concurrent stimulus processing in dual tasks", "year": "2009", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811909006879?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuroimage.2009.06.064", "https://www.ncbi.nlm.nih.gov/pubmed/19576992", "https://www.wikidata.org/entity/Q48537558"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4359336", "http://doi.org/10.1109/TPAMI.2007.70715", "https://www.ncbi.nlm.nih.gov/pubmed/18276967", "https://www.wikidata.org/entity/Q47911165"]}, {"id": "602ff72d6b65cda209184916b3ebe6cae0b28564", "title": "The own-age bias in face memory is unrelated to differences in attention--evidence from event-related potentials.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/602f/f72d6b65cda209184916b3ebe6cae0b28564.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "b69ff748b1cc7da3843acdd7f1c33f0c0debf3f5", "title": "Automatic face recognition system based on the SIFT features", "year": "2015", "pdf": ["https://home.zcu.cz/~pkral/papers/cee_kral15.pdf"], "doi": ["http://doi.org/10.1016/j.compeleceng.2015.01.014"]}, {"id": "07d70e554f7c9d4a22944bc5e0685dfdd813f33a", "title": "A spatiotemporal feature-based approach for facial expression recognition from depth video", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/12.2197074"]}, {"id": "a2c9ddd7e7df99dba7c7b2b522f5c601b341c695", "title": "Eigenspace-based Face Recognition: A comparative study of different hybrid approaches.", "year": "2002", "pdf": [], "doi": []}, {"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"], "doi": []}, {"id": "fde7849b90c64d88aaacf384f30a06416d370750", "title": "Rapid Plasticity in the Prefrontal Cortex during Affective Associative Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fde7/849b90c64d88aaacf384f30a06416d370750.pdf"], "doi": []}, {"id": "5615548157d0e23d60ba82af1a3b29814bc4b7c7", "title": "Face Recognition with Multi-stage Matching Algorithms", "year": "2015", "pdf": [], "doi": []}, {"id": "ac2a2c655ad1b3eea3f222b213a774aa25a403c0", 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["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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4267885", "http://doi.org/10.1109/TSMCB.2007.891541", "https://www.ncbi.nlm.nih.gov/pubmed/17702297", "https://www.wikidata.org/entity/Q51907829"]}, {"id": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"], "doi": []}, {"id": "8c62ce3db6d4147bcc45cba0e225f87a30878810", "title": "Research Advances in Face Recognition", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344047"]}, {"id": "91b1a59b9e0e7f4db0828bf36654b84ba53b0557", "title": "Simultaneous Hallucination and Recognition of Low-Resolution Faces 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for Machine Learning", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/f0a0/e963f1ddd8a0b3269392e3d67043d2ace7d0.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.eswa.2008.08.052"]}, {"id": "ec90d333588421764dff55658a73bbd3ea3016d2", "title": "Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec90/d333588421764dff55658a73bbd3ea3016d2.pdf"], "doi": []}, {"id": "47cd38706e81ba6d73a9c56ebc9e42327a0a28cb", "title": "Computing the Principal Local Binary Patterns for face recognition using data mining tools", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2012.01.074"]}, {"id": 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"https://infoscience.epfl.ch/record/138863/files/EUSIPCO08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080569", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.10011", "http://doi.org/10.1109/ICPR.2002.10011", "http://ieeexplore.ieee.org/document/7080569/"]}, {"id": "214e544d3b01ddbc24e3093bbf186fdecc600342", "title": "Automated conformance testing for ISO/IEC 19794-5 Standard on facial photo specifications", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1504/IJBM.2013.050734"]}, {"id": "f09c9adff8f71c1be5ebbb1bb01d4d762aa385e9", "title": "A gender classification system robust to occlusion using Gabor features based (2D)2PCA", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2014.03.009"]}, {"id": "b21b860cf21edb2e57f62b665203e5d8b64829d5", "title": "Extended feed forward neural networks with random weights for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.01.022"]}, {"id": 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6746813", "http://doi.org/10.1109/ISM.2013.61"]}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2006.09.009"]}, {"id": "e4afc03c818bc9e357ea2fb23ebf73496f1ffc81", "title": "Mafalda Libo\u0301rio Baio Morais Alves", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4af/c03c818bc9e357ea2fb23ebf73496f1ffc81.pdf"], "doi": []}, {"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"], "doi": []}, {"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"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"id": "49a7949fabcdf01bbae1c2eb38946ee99f491857", "title": "A concatenating framework of shortcut convolutional neural networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00974.pdf"], "doi": []}, {"id": "6baacb4b67c5dd488e0fe29a6c508c20e034c345", "title": "Feature Extraction by Using Dual-Generalized Discriminative Common Vectors", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10851-018-0837-6"]}, {"id": "c28f57d0a22e54fdd3c4a57ecb1785dda49f0e5e", "title": "From Scores to Face Templates: A Model-Based Approach", "year": "2007", "pdf": ["http://marathon.csee.usf.edu/~sarkar/PDFs/Scores%20to%20templates.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4359297", "http://doi.org/10.1109/TPAMI.2007.1129", "https://www.ncbi.nlm.nih.gov/pubmed/17934218", "https://www.wikidata.org/entity/Q33302502"]}, {"id": "4d848b2055e1bba4ce80d5d050879c26686eda50", "title": "Face recognition with enhanced privacy protection", "year": "2009", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202009/pdfs/0000885.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4959726", "http://doi.ieeecomputersociety.org/10.1109/ICASSP.2009.4959726", "http://doi.org/10.1109/ICASSP.2009.4959726"]}, {"id": "ccf05c83dc1d9cfe2ef34d44e993980906720548", "title": "Gabor-Eigen-Whiten-Cosine: a robust scheme for face recognition", "year": "2005", "pdf": ["http://perso.telecom-paristech.fr/~chollet/Biblio/Articles/Domaines/BIOMET/Face/AMFG/Gaborb67g3j5494461t86.pdf"], "doi": ["http://doi.org/10.1007/11564386_26"]}, {"id": "69f638309fe692f7d57a72d2df8fe2bf1d81dff4", "title": "A Study of Artificial Personality from the Perspective of the Observer", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/69f6/38309fe692f7d57a72d2df8fe2bf1d81dff4.pdf"], "doi": []}, {"id": "9e194413f10ea3385f063de87e15287072ac357b", "title": "An a-contrario Approach for Face Matching", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9e19/4413f10ea3385f063de87e15287072ac357b.pdf"], "doi": []}, {"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"], 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"88740da3333ec14281a6defb55fff7c28025a758", "title": "Gender and gaze gesture recognition for human-computer interaction", "year": "2016", "pdf": ["http://eprints.uwe.ac.uk/28497/3/CVIU_revision_3.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2016.03.014"]}, {"id": "b14fb84db85ab4bbbcc8c92200e9c69b00737f91", "title": "A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b14f/b84db85ab4bbbcc8c92200e9c69b00737f91.pdf"], "doi": []}, {"id": "0d47b2b65c5c42291e90c591212e4e0b574a95c1", "title": "An adaptive hybrid pattern for noise-robust texture analysis", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2015.01.001"]}, {"id": "aa17a5e76ae21d0d068c7f10a4bb24c19888b685", "title": "SPARSE BAYESIAN LEARNING IN CLASSIFYING FACE FEATURE VECTORS", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/aa17/a5e76ae21d0d068c7f10a4bb24c19888b685.pdf"], "doi": []}, {"id": 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"https://infoscience.epfl.ch/record/87261/files/Meynet2005_1284.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7078063", "http://ieeexplore.ieee.org/document/7078063/"]}, {"id": "87ba4cce558c2defde90f4b42853262fd572ca3e", "title": "Silhouette estimation.", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/87ba/4cce558c2defde90f4b42853262fd572ca3e.pdf"], "doi": []}, {"id": "dd2d952e5dfad764649a1bd9adeaa429f0998c12", "title": "A Combined Approach to Feature Extraction for Mouth Characterization and Tracking", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3653/9d1b34de93c72faf7671745c9cde2c7f9e40.pdf"], "doi": []}, {"id": "bd766fb148c419673778cd026a8c4e8c5e4696d2", "title": "Evaluation of wavelet based linear subspace techniques for face recognition", "year": "2008", "pdf": [], "doi": []}, {"id": "89d4f8bde129198f41f454b2fd9bf29fce809fdb", "title": "Face detection using discriminating feature analysis and support vector machine in video", 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Unaware Facial Recognition Using Brain-Computer Interfaces", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7a9e/f491914d515bb5570aa9b3a261d42d430b86.pdf"], "doi": []}, {"id": "30457461333c8797457c18636732327e6dde1d04", "title": "Gender classification system for half face images using multi manifold discriminant analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7943221"]}, {"id": "80c4f5bc43f21041343c6d7a61cdc281cb36be07", "title": "Information routing, correspondence finding, and object recognition in the brain", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/595b/e23477495891ec07fd5f5cd48b7fee5d7fe6.pdf"], "doi": []}, {"id": "3fbd68d1268922ee50c92b28bd23ca6669ff87e5", "title": "A shape- and texture-based enhanced Fisher classifier for face recognition", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/f563/6a8021c09870c350e7505c87625fe1681bd4.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1394426"]}, {"id": "0328b975b11fd4153010535d1a06cf618f9b0c91", "title": "Evaluating the complexity of databases for person identification and verification", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/0328/b975b11fd4153010535d1a06cf618f9b0c91.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578918", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00820", "http://doi.org/10.1109/CVPR.2018.00820"]}, {"id": "076c97826df63f70d55ea11f0b7ae47a7ad81ad3", "title": "A Robust Face Recognition Algorithm Using Markov Stationary Features and Adjacent Pixel Intensity Difference Quantization Histogram", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6120669", "http://doi.ieeecomputersociety.org/10.1109/SITIS.2011.40", "http://doi.org/10.1109/SITIS.2011.40"]}, {"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"], "doi": []}, {"id": "f77563386ac293620ce2b90b5d7250ab5d8f9f50", "title": "Regression-based Hypergraph Learning for Image Clustering and Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.04150.pdf"], "doi": []}, {"id": "8028b9bc85b64f3b93d936ab2bd05ccf64a92bc3", "title": "Enhancement of face-sensitive ERPs in older adults induced by face recognition training", "year": "2018", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0028393218304846?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuropsychologia.2018.08.010", "https://www.ncbi.nlm.nih.gov/pubmed/30114386"]}, {"id": "af6b14c0bf427b22baffc06a0bd515b30649d8c3", "title": "Face recognition using kernel scatter-difference-based discriminant analysis", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/af6b/14c0bf427b22baffc06a0bd515b30649d8c3.pdf"], "doi": []}, {"id": "9c5c30e396b307010c374ef3730e84f6cf763205", "title": "Recent advances in visual and infrared face recognition - 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Regression Analysis of Misidentification Risk", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4270301", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2007.383276", "http://doi.org/10.1109/CVPR.2007.383276"]}, {"id": "d6dab84451254d7fbb5b9e1d40a7d2a92dec13b3", "title": "Enhanced Local Binary Patterns for Automatic Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.03349.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139095", "http://doi.org/10.1109/ICB.2015.7139095"]}, {"id": "a66d99ea07f72281a6e510eb2a9fd4b0973e16d0", "title": "Object Localization Based on Global Structure Constraint Model and Optimal Algorithm", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4603283"]}, {"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"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4378393", "http://doi.org/10.1109/TPAMI.2007.70815", "https://www.ncbi.nlm.nih.gov/pubmed/18617721", "https://www.wikidata.org/entity/Q51873260"]}, {"id": "bad65ef11c58c3660febb98abbe9f86e2b8fce11", "title": "Object Localization Based on Mutual Information in Global Structure Constraint Model", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4557864", "http://doi.ieeecomputersociety.org/10.1109/CISIM.2008.9", "http://doi.org/10.1109/CISIM.2008.9"]}, {"id": "c45183ec95f89aff793a2629a0520006b4153d6a", "title": "Entropy-based template analysis in face biometric identification systems", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c451/83ec95f89aff793a2629a0520006b4153d6a.pdf"], "doi": []}, {"id": "f07468f7b23a4b5740787a7d9d2c7706991b51ed", "title": "A Continuos Learning for a Face Recognition System", "year": "2011", "pdf": [], "doi": []}, {"id": "a044dc0ff3fa2a8f0a80afff9eb2cbc762996e3b", "title": "An Efficient Face Recognition System Based On the Hybridization of Pose Invariant and Illumination Process", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a044/dc0ff3fa2a8f0a80afff9eb2cbc762996e3b.pdf"], "doi": []}, {"id": "0398471b52cac8dced1468502cb782dbeb38130d", "title": "Robust hierarchical image representation using non-negative matrix factorisation with sparse code shrinkage preprocessing", "year": "2002", "pdf": ["http://nipg.inf.elte.hu/publications/szatmary03robust.pdf"], "doi": ["https://doi.org/10.1007/s10044-002-0185-3"]}, {"id": "27da432cf2b9129dce256e5bf7f2f18953eef5a5", "title": "Face Recognition in Low Quality Images: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.11519.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532390", "http://doi.org/10.1109/ICIP.2016.7532390"]}, {"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"], "doi": []}, {"id": "e194cb0077bf84eeb627b7772336421064a36b54", "title": "Local Binary Patterns for Gender Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7604545"]}, {"id": "591db404f6d8e3f37c12752b0f9173ff1a475598", "title": "Eigentransformation-based face super-resolution in the wavelet domain", "year": "2012", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2011.12.001"]}, {"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 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"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"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.008", "https://doi.org/10.1016/j.patcog.2015.11.008"]}, {"id": "15dea987f66386be14b7811f1f27784f3ed9e9c0", "title": "Face Detection with Mixtures of Boosted Discriminant Features", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/15de/a987f66386be14b7811f1f27784f3ed9e9c0.pdf"], "doi": []}, {"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"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.cose.2016.03.007"]}, {"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"], "doi": []}, {"id": "7aa83aee1e8b2da7ec90c67e63161c24e85f4ba1", "title": "Face Image Classification by Pooling Raw Features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1406.6811.pdf"], "doi": []}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "2fe5bea76853da079512595fb8bdd74ef4ccf12f", "title": "Face recognition using two-dimensional nonnegative principal component analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2fe5/bea76853da079512595fb8bdd74ef4ccf12f.pdf"], "doi": []}, {"id": "34d62a259bca3b83518d45d9f0b53cbdecf973a4", "title": "Robust Representation of 3d Faces for Recognition", "year": "2006", "pdf": ["http://enriquefrias-martinez.info/yahoo_site_admin/assets/docs/IJPRAI_-_revisado-6.34831139.pdf", "http://www.enriquefrias-martinez.info/yahoo_site_admin/assets/docs/IJPRAI_-_revisado-6.34831139.pdf"], "doi": ["https://doi.org/10.1142/S0218001406005198"]}, {"id": "7384c39a2d084c93566b98bc4d81532b5ad55892", "title": "A Comparative Study of Face Landmarking Techniques", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e5d/a8dbe9255b72ddbd6465acbe0d04325f9c50.pdf"], "doi": []}, {"id": "e4f3e0951fd66abe3b5dfbca88f676df82846214", "title": "Automatic age classification with LBP", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4717926"]}, {"id": "0b0b1632a49861c2fbad8b6c4739760195524c27", "title": "Robust human authentication using appearance and holistic anthropometric features", "year": "2010", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2010.07.011"]}, {"id": "a1ef8f589b8c1257d3737044f0e96503ae0a41b0", "title": "Gender classification by combining clothing, hair and facial component classifiers", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2011.01.028", "http://bcmi.sjtu.edu.cn/~blu/papers/2012/Gender%20classification%20by%20combining%20clothing,%20hair%20and%20facial%20component%20classifiers.PDF"]}, {"id": "a35849af340f80791c4a901ec2f2bbbac06660f5", "title": "Illumination compensation for face recognition by genetic optimization of the Self-Quotient Image method", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5326048"]}, {"id": "077492a77812a68c86b970557e97a452a6689427", "title": "Automatic 3D face reconstruction from single images or video", "year": "2008", "pdf": ["http://eprints.pascal-network.org/archive/00004333/01/FG2008-Breuer_%5B0%5D.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/FG2008-Breuer_%5B0%5D.pdf", "http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/mpik-tr-160_4380%5B0%5D.pdf", "http://mi.informatik.uni-siegen.de/publications/fg08_BreuerEtAl.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4813339", "http://doi.ieeecomputersociety.org/10.1109/AFGR.2008.4813339", "http://doi.org/10.1109/AFGR.2008.4813339"]}, {"id": "31fd53c2942135e35f83566d58e693ffedec2369", "title": "Face pose discrimination using support vector machines (SVM)", "year": "1998", "pdf": ["http://www.ecse.rpi.edu/homepages/qji/Papers/svmpose.pdf", "https://www.ecse.rpi.edu/~qji/Papers/svmpose.pdf"], "doi": ["https://doi.org/10.1109/ICPR.1998.711102", "http://doi.ieeecomputersociety.org/10.1109/ICPR.1998.711102"]}, {"id": "cc098a0f390573237f2f7211ccf0643cd1ef3c66", "title": "Representations of Face Images and Collaborative Representation Classification for Face Recognition", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1142/S0218126618500172"]}, {"id": "2713cafcf3d0aafb558d13217d649c93fadca56a", "title": "Multiple classifier implementation of a divide-and-conquer approach using appearance-based statistical methods for face recognition", "year": "2004", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2004.05.005"]}, {"id": "dabd3f276bc815865ab7c9f375368a1e31903860", "title": "Deformable face mapping for person identification", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/46a0/c83df32cf3bbdfe51baac248affe143fd027.pdf"], "doi": []}, {"id": "cde7901c0945683d0c677b1bb415786e4f6081e6", "title": "A Survey of 2D Face Databases", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300980", "http://doi.ieeecomputersociety.org/10.1109/IRI.2015.44", "http://doi.org/10.1109/IRI.2015.44"]}, {"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"], "doi": []}, {"id": "c444c4dab97dd6d6696f56c1cacda051dde60448", "title": "Multiview Face Detection and Registration Requiring Minimal Manual Intervention", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6461885", "http://doi.org/10.1109/TPAMI.2013.37", "https://www.ncbi.nlm.nih.gov/pubmed/23969391", "https://www.wikidata.org/entity/Q51170597"]}, {"id": "b1a40665eb4c0a4c6978e84539ece1c0f406b8f5", "title": "Human Visual System Based Framework For Gender Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b1a4/0665eb4c0a4c6978e84539ece1c0f406b8f5.pdf"], "doi": []}, {"id": "fd7c9d90ade72ad96990b284004f672a482029d6", "title": "Local Gabor phase difference pattern for face recognition", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761167", "http://doi.org/10.1109/ICPR.2008.4761167"]}, {"id": "612b8eda338fcde9400ea93779741282fe4132d6", "title": "Scheming an efficient facial recognition system using global and random local feature extraction methods", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8093508"]}, {"id": "ce85d953086294d989c09ae5c41af795d098d5b2", "title": "Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction", "year": "2007", "pdf": ["http://mmlab.ie.cuhk.edu.hk/archive/2007/NN07_feature.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4298137", "http://doi.org/10.1109/TNN.2007.894042", "https://www.ncbi.nlm.nih.gov/pubmed/18220192", "https://www.wikidata.org/entity/Q51896140"]}, {"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"], "doi": ["http://doi.org/10.1016/j.cviu.2013.09.004"]}, {"id": "35917932a9a82abe1ea6f2c66d456612a3a182e0", "title": "Robust detection of semantically equivalent visually dissimilar objects", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4563038"]}, {"id": "323ff022256bdcad43042f3c12f749598ca66338", "title": "Static and Dynamic Facial Cues Differentially Affect the Consistency of Social Evaluations.", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/323f/f022256bdcad43042f3c12f749598ca66338.pdf"], "doi": []}, {"id": "e273fb43ca209a33668ce389c929db42b74b0968", "title": "Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5291728"]}, {"id": "0b4b5747146d77ead155e3698885bd464b5e6f56", "title": "An algorithm for the principal component analysis of large data sets", "year": "2011", "pdf": ["https://arxiv.org/pdf/1007.5510.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "0b87ba2f756cb0f1a84ce6abb2574af27d3113fe", "title": "Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space", "year": "2011", "pdf": ["http://cdn.intechopen.com/pdfs-wm/17751.pdf", "http://cdn.intechweb.org/pdfs/17751.pdf", "https://api.intechopen.com/chapter/pdf-download/17751"], "doi": ["https://doi.org/10.5772/18962"]}, {"id": "120b9c271c3a4ea0ad12bbc71054664d4d460bc3", "title": "Face Recognition against Mouth Shape Variations", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371259", "http://doi.org/10.1109/DICTA.2015.7371259"]}, {"id": "299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0", "title": "Face recognition by independent component analysis", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/8d3c/93a160e6fc71ca4462f0e0a25bc75f4debae.pdf"], "doi": []}, {"id": "5860cf0f24f2ec3f8cbc39292976eed52ba2eafd", "title": "COMPUTATION EvaBio : A TOOL FOR PERFORMANCE EVALUATION IN BIOMETRICS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5860/cf0f24f2ec3f8cbc39292976eed52ba2eafd.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6247976", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2012.6247976", "http://doi.org/10.1109/CVPR.2012.6247976"]}, {"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"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6117486", "http://doi.org/10.1109/IJCB.2011.6117486"]}, {"id": "1a66f37f37e4fbf9a8e657853933539256bbda88", "title": "Spectral Clustering by Joint Spectral Embedding and Spectral Rotation.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a66/f37f37e4fbf9a8e657853933539256bbda88.pdf"], "doi": []}, {"id": "eec466317c83e8093a32b978e753c3fc8f21d21b", "title": "Performance Characterization in Computer Vision A Tutorial", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/eec4/66317c83e8093a32b978e753c3fc8f21d21b.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.image.2008.01.002"]}, {"id": "6d10c110adaa381084c0b8ed2fd391d1fcd84a03", "title": "Feature Extraction Based on Equalized ULBP for Face Recognition", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6188086"]}, {"id": "3ce0f48106fd872e2c2327596c2677c4680444a2", "title": "Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person Authentication.", "year": "2002", "pdf": [], "doi": []}, {"id": "13425bb41d326982ec6b3c6f3034aa978a1300ac", "title": "Face Recognition for Smart Environments", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/1342/5bb41d326982ec6b3c6f3034aa978a1300ac.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4202583", "http://doi.org/10.1109/TMM.2007.893346"]}, {"id": "bdbded88916307e282a22dadb7954a4942300908", "title": "Lean histogram of oriented gradients features for effective eye detection", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.6.063007"]}, {"id": "6d66c98009018ac1512047e6bdfb525c35683b16", "title": "Face Recognition Based on Fitting a 3D Morphable Model", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/6d66/c98009018ac1512047e6bdfb525c35683b16.pdf"], "doi": []}, {"id": "35ccf703df2dd37fc857ab9b438e18c9a65ba5b9", "title": "Two-step supervised confidence measure for automatic face recognition", "year": "2014", "pdf": ["http://home.zcu.cz/~pkral/papers/mlsp_kral14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958883", "http://doi.org/10.1109/MLSP.2014.6958883"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1334110", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334110", "http://doi.org/10.1109/ICPR.2004.1334110"]}, {"id": "11bda1f054effb3116115b0699d74abec3e93a4b", "title": "Improving the performance of MDA by finding the best subspaces dimension based on LDA for face recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5955459"]}, {"id": "18c72175ddbb7d5956d180b65a96005c100f6014", "title": "From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose", "year": "2001", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1487&rep=rep1&type=pdf", "http://ugweb.cs.ualberta.ca/~vis/courses/CompVis/readings/photometric/AthosBelhumeurFaceLight.pdf", "http://vision.cornell.edu/se3/wp-content/uploads/2014/09/pami01.pdf", "http://vision.ucsd.edu/sites/default/files/pami01.pdf", "http://www.cs.columbia.edu/~belhumeur/journal/few2many-pami01.pdf"], "doi": ["https://doi.org/10.1109/34.927464", "http://doi.ieeecomputersociety.org/10.1109/34.927464"]}, {"id": "5367610430dc0380dfbe8344e08537267875968c", "title": "Tracking 3 D Surfaces Using Multiple Cameras : A Probabilistic Approach", "year": "2010", "pdf": 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for Single Sample per Person Based Face Recognition", "year": "2011", "pdf": ["http://cdn.intechweb.org/pdfs/17176.pdf", "https://api.intechopen.com/chapter/pdf-download/17176", "https://cdn.intechopen.com/pdfs-wm/17176.pdf"], "doi": ["http://doi.org/10.5772/18432"]}, {"id": "4ef4553de88191fd46ec8000589c3fc1988f06b5", "title": "The Application of Decision Tree in Gender Classification", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4566734"]}, {"id": "1e472cf9a290e8f59573628dba426cd6d74411f4", "title": "A Large-Scale Software-Generated Face Composite Sketch Database", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7736902", "http://doi.org/10.1109/BIOSIG.2016.7736902", "https://dl.gi.de/20.500.12116/1212"]}, {"id": "ed12b0a9d2bf6316b32a2bd143f33a85582dc91b", "title": "Determining Optimal Malsburg Gabor Kernel for Efficient Non-Rigid Object Recognition", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4524195", "http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.111", "http://doi.org/10.1109/FBIT.2007.111"]}, {"id": "940865fc3f7ee5b386c4188c231eb6590db874e9", "title": "Security and Surveillance System for Drivers Based on User Profile and learning systems for Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9408/65fc3f7ee5b386c4188c231eb6590db874e9.pdf"], "doi": []}, {"id": "a432f815d753121267ffb524f8fabac21be32733", "title": "Proyecto Aguar\u00e1 : Automatic Face Recognition", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/a432/f815d753121267ffb524f8fabac21be32733.pdf"], "doi": []}, {"id": "614524b27188bb8869ec7a5b374c2a9874f96ec5", "title": "A new covariance estimate for Bayesian classifiers in biometric recognition", "year": "2004", "pdf": ["http://dev.pubs.doc.ic.ac.uk/maximum-entropy-covariance-estim/maximum-entropy-covariance-estim.pdf", "http://pubs.doc.ic.ac.uk/maximum-entropy-covariance-estim/maximum-entropy-covariance-estim.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1269754", "http://doi.org/10.1109/TCSVT.2003.821984"]}, {"id": "2eb610d67ac07136fce4d9633edc28548aab76c8", "title": "The Good, the Bad, and the Ugly Face Challenge Problem", "year": "2012", "pdf": ["http://bbs.utdallas.edu/facelab/publications/pdf/2012_Phillips_IVC.pdf", "http://www.cs.colostate.edu/~draper/papers/phillips_ivc12.pdf", "http://www.cs.colostate.edu/~vision/publications/phillips_ivc12.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=910476", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=910476"], "doi": ["http://doi.org/10.1016/j.imavis.2012.01.004"]}, {"id": "33648b41b4c9a776dc059bee96d6df994009828c", "title": "Memory and Perception-based Facial Image Reconstruction", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1038/s41598-017-06585-2", "https://www.ncbi.nlm.nih.gov/pubmed/28747686"]}, 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["http://ira.lib.polyu.edu.hk/bitstream/10397/219/1/264.pdf", "http://repository.lib.polyu.edu.hk/jspui/bitstream/10397/219/1/264.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4107569", "http://doi.org/10.1109/TPAMI.2007.1008", "https://www.ncbi.nlm.nih.gov/pubmed/17299222", "https://www.wikidata.org/entity/Q51922372"]}, {"id": "4ccae36f78c660c9fc01959e28e676142c5f8a7d", "title": "KCCA-based technique for profile face identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1186/s13640-016-0123-8"]}, {"id": "8ed051be31309a71b75e584bc812b71a0344a019", "title": "Class-Based Feature Matching Across Unrestricted Transformations", "year": "2008", "pdf": ["http://authors.library.caltech.edu/11344/1/BARieeetpami08.pdf", "http://www.vision.caltech.edu/~bart/Publications/2007/BartUllmanMBE.pdf", "http://www.vision.caltech.edu/~bart/Publications/2007/BartUllmanMBEAppendix.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4378342", 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"pdf": ["http://www.cs.ust.hk/~achung/icip09_liao_chung.pdf", "http://www.cse.ust.hk/~achung/icip09_liao_chung.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5413904", "http://doi.org/10.1109/ICIP.2009.5413904"]}, {"id": "fec295c6b6a1795d8ccb4592603040794667dfa7", "title": "LDOP: Local Directional Order Pattern for Robust Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.07441.pdf"], "doi": []}, {"id": "4a1a5316e85528f4ff7a5f76699dfa8c70f6cc5c", "title": "Face Recognition using Local Features based on Two-layer Block Model", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/4a1a/5316e85528f4ff7a5f76699dfa8c70f6cc5c.pdf"], "doi": []}, {"id": "2713423d87d011c0a5aae99bef57523769121a1d", "title": "A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/2713/423d87d011c0a5aae99bef57523769121a1d.pdf"], "doi": []}, {"id": "6890f210cdc574caa89fa94933ec942360aa1e0c", 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"c20ac2441e6ec29ae926d3c5605b71ce10ef6dff", "title": "Heterogeneous image transformation", "year": "2013", "pdf": ["https://nannanwang.github.io/My_Papers/PRL2013.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2012.04.005"]}, {"id": "4cfae149d6acd8cffc12c06ed796f1f84dce0e73", "title": "Face Recognition Based on Image Latent Semantic Analysis Model and SVM", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4cfa/e149d6acd8cffc12c06ed796f1f84dce0e73.pdf"], "doi": []}, {"id": "47d32615dc396dece539b664969d2e102f5b0f63", "title": "Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2014.0064"]}, {"id": "3e72a9a5b7d184b72771ea4519cf9fa0253cdecd", "title": "Spatial maps in frontal and prefrontal cortex", "year": "2006", "pdf": ["http://www-cogsci.ucsd.edu/~sereno/papers/FrontalMaps06.pdf", "http://www.cogsci.ucsd.edu/~sereno/papers/FrontalMaps06.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S1053811905005884?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuroimage.2005.08.058", "https://www.ncbi.nlm.nih.gov/pubmed/16289928", "https://www.wikidata.org/entity/Q46007012"]}, {"id": "9a5e36c0f9b802cd346e3225c0b04ab9dda496d1", "title": "Evolutionary Classifier Fusion for Optimizing Face Recognition", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4524196", "http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.50", "http://doi.org/10.1109/FBIT.2007.50"]}, {"id": "711f6446d0b3897b892c5c19c7d88fe50424eef9", "title": "High and low performers differ in the use of shape information for face recognition", "year": "2013", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0028393213000870?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.neuropsychologia.2013.03.015", "https://www.ncbi.nlm.nih.gov/pubmed/23562837"]}, {"id": 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features", "year": "2001", "pdf": ["http://visgraph.cs.ust.hk/biometrics/Papers/Face/pr2001-1-1.pdf"], "doi": ["http://doi.org/10.1016/S0031-3203%2899%2900200-9", "https://doi.org/10.1016/S0031-3203(99)00200-9"]}, {"id": "5fce9d893a40c4e0f2ae335b2e68bfd02f1cb2c6", "title": "A Methodology for Detecting Faces from Different Views", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6495052", "http://doi.org/10.1109/ICTAI.2012.40"]}, {"id": "fb1919aeaa26f2c559268c52deb68463ee58abee", "title": "Local matching Gabor entropy weighted face recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5771394", "http://doi.ieeecomputersociety.org/10.1109/FG.2011.5771394", "http://doi.org/10.1109/FG.2011.5771394"]}, {"id": "ca30c8f28642303e8f9095fa5d1e908f194cd586", "title": "Nonparametric maximum margin criterion for face recognition", "year": "2005", "pdf": [], "doi": 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PROBLEM : MID-RANGE FR AT NIGHT No Active Illumination Night Time 120 meters Evaluating the Efficiency of a Night-Time , Middle-Range Infrared Sensor for Applications in Human Detection and Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bcaa/5fab589d95890d539a3119657fa253176f0d.pdf"], "doi": []}, {"id": "9f5fbc661ce13d1f946f5d3c5b194aab71e0511b", "title": "Combining local similarity measures: summing, voting, and weighted voting", "year": "2005", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1571551", "http://doi.org/10.1109/ICSMC.2005.1571551"]}, {"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"], "doi": 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["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": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"]}, {"id": "6ebc601bba067af64b57d59039319650168df4c9", "title": "CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.00980.pdf"]}, {"id": "0a4f3a423a37588fde9a2db71f114b293fc09c50", "title": "Computer analysis of face beauty: A survey", "year": "2014", "pdf": ["http://porto.polito.it/2541099/1/Analyzing_human_beauty_R2_2.0.pdf", "https://iris.polito.it/retrieve/handle/11583/2541099/62404/Analyzing%20human%20beauty%20-%20R2%20-%202.0.pdf", "https://pdfs.semanticscholar.org/0a4f/3a423a37588fde9a2db71f114b293fc09c50.pdf"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"]}, {"id": "07d95be4922670ef2f8b11997e0c00eb643f3fca", "title": "The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results", "year": "2015", "pdf": ["http://eprints.eemcs.utwente.nl/26833/01/Pantic_The_First_Facial_Landmark_Tracking_in-the-Wild_Challenge.pdf"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": []}, {"id": "8291491723d24fd242a3a93248f6475cb084999c", "title": "MobileFace: 3D Face Reconstruction with Efficient CNN Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.08809.pdf"]}, {"id": "33ae696546eed070717192d393f75a1583cd8e2c", "title": "Subspace selection to suppress confounding source domain information in AAM transfer learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08508.pdf"]}, {"id": "d1777d3ea950e6aac92dd359075701bc28ba1cb2", "title": "Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Gu_Dynamic_Facial_Analysis_CVPR_2017_paper.pdf", "http://research.nvidia.com/sites/default/files/pubs/2017-07_Dynamic-Facial-Analysis/rnnface.pdf", "http://www.gujinwei.org/pdfs/rnnface.pdf", "http://xiaodongyang.org/publications/papers/cvpr17.pdf"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": []}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"]}, {"id": "9b9ccd4954cf9dd605d49e9c3504224d06725ab7", "title": "DriveAHead \u2014 A Large-Scale Driver Head Pose Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w13/papers/Schwarz_DriveAHead_-_A_CVPR_2017_paper.pdf", "https://cvhci.anthropomatik.kit.edu/download/publications/2017_CVPR_Haurilet.pdf"]}, {"id": "5aad5e7390211267f3511ffa75c69febe3b84cc7", "title": "Driver Gaze Estimation Without Using Eye Movement", "year": "2015", "pdf": 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"Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"]}, {"id": "6a52e6fce541126ff429f3c6d573bc774f5b8d89", "title": "Role of Facial Emotion in Social Correlation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6a52/e6fce541126ff429f3c6d573bc774f5b8d89.pdf"]}, {"id": "3d62b2f9cef997fc37099305dabff356d39ed477", "title": "Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02734.pdf"]}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.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": "e0a57676ca5f7fced9dcf885a60a1967cc21070c", "title": "Development of a Computer Interface for People with Disabilities based on Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e0a5/7676ca5f7fced9dcf885a60a1967cc21070c.pdf"]}, {"id": "a72f0be803c9290923643660caf3bffec4ea3611", "title": "Face recognition enhancement by employing facial component classification and reducing the candidate gallery set", "year": "2016", "pdf": []}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": 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Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting", "year": "2015", "pdf": ["http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf", "http://personal.ee.surrey.ac.uk/Personal/Z.Feng/pdf/IEEETIP2015.pdf", "http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/Feng-TIP-2015.pdf"]}, {"id": "5b2cfee6e81ef36507ebf3c305e84e9e0473575a", "title": "GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.02402.pdf"]}, {"id": "ac5d0705a9ddba29151fd539c668ba2c0d16deb6", "title": "RED-Net: A Recurrent Encoder\u2013Decoder Network for Video-Based Face Alignment", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06066.pdf"]}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "year": "2015", "pdf": 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"45e7ddd5248977ba8ec61be111db912a4387d62f", "title": "Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00253.pdf"]}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": []}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"]}, {"id": "43fbe350681185ec9a18991dbcb19d694ce4f245", "title": "The Perspective Face Shape Ambiguity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/43fb/e350681185ec9a18991dbcb19d694ce4f245.pdf"]}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", 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d\u00e9pressif(Classification of depressive moods)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1207/85f9b4952734818245cc305148676563a99b.pdf"]}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.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": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"]}, {"id": "0f257ae1829b3250723a87781373d339308ea996", "title": "A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03773.pdf"]}, {"id": 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"title": "A Validated Method for Dense Non-rigid 3D Face Registration", "year": "2006", "pdf": []}, {"id": "61692cffff60568da43780df38876c11390ccdc8", "title": "Gabor Orientation Histogram for Face Representation and Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6169/2cffff60568da43780df38876c11390ccdc8.pdf"]}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"]}, {"id": "19645269d4a3099adf549ac1dfeb117d16c20292", "title": "Learning discriminant features for multi-view face and eye detection", "year": "2005", "pdf": []}, {"id": "d03da4a537315144ca0f9782bb61ad68082a48b0", "title": "Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric", "year": "2008", "pdf": []}, {"id": "a99b8c2165fea3e90bc8815a965b7df961367419", "title": "Measurement of asymmetry of stripe patterns in animals", "year": "2012", "pdf": []}, {"id": "7667484b76a893287f3728e5b7604034ff868edf", "title": "Recognition of Low-Resolution Faces Using Multiple Still Images and Multiple Cameras", "year": "2008", "pdf": ["http://research.microsoft.com/pubs/69520/recognition_btas_08.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2008/09/recognition_btas_08.pdf"]}, {"id": "4c41b774a6bdf43d980f640880cc49b82ae19b34", "title": "3D Facial Landmark Detection under Large Yaw and Expression Variations", "year": "2013", "pdf": ["http://cbl.uh.edu/pub_files/3d-facial-landmark-detection-under-large-yaw-and-expression-variations.pdf", "http://graphics.di.uoa.gr/Downloads/papers/journals/p39.pdf", "http://repository.edulll.gr/edulll/bitstream/10795/2942/2/2942_1.3_%CE%94%CE%97%CE%9C_1_7_13.pdf"]}, {"id": "b138bd605e7b22b25c9d46277b38567c6566c634", "title": "Robust alignment of salient facial regions for recognition of 3-D partial faces scans", "year": "2014", "pdf": []}, {"id": "9746186205ed5e559d17e87d7ede9e3dd3922e54", "title": "Face recognition based on 3D ridge images obtained from range data", "year": "2009", "pdf": ["https://www.researchgate.net/profile/Mohammad_Mahoor/publication/222518599_Face_recognition_based_on_3D_ridge_images_obtained_from_range_data/links/00b7d517fe0f3d3dfa000000.pdf"]}, {"id": "f844101618bcaadfad189645d0d9514f6a04f9ec", "title": "Facial Landmark Detection and Localization Using Point Distribution Model", "year": "2017", "pdf": []}, {"id": "ea8cb4a79b211fb288f747bdd64b3fc36e11c0fc", "title": "Chapter 10 Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/ea8c/b4a79b211fb288f747bdd64b3fc36e11c0fc.pdf"]}, {"id": "d24a30ed78b749f3730e25dcef89472dd5fb439c", "title": "Improving Face Recognition Performance Using a Hierarchical Bayesian Model", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/d24a/30ed78b749f3730e25dcef89472dd5fb439c.pdf"]}, {"id": "bbd347e6648d0f9c060da9ba9fa1782fa47156f2", "title": "Template Matching Techniques in Computer Vision: Theory and Practice", "year": "2009", "pdf": []}, {"id": "55c3b8f21b063b605a01a720af92c0a5de59333a", "title": "A Comparison of Pixel, Edge andWavelet Features for Face Detection using a Semi-Naive Bayesian Classifier", "year": "2006", "pdf": []}, {"id": "06dfc1c6f62bffd5f8b8619d8c51db1ec4d25f3f", "title": "Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition", "year": "2010", "pdf": ["http://www.jdl.ac.cn/doc/2010/TIP10-Fusing%20Local%20Patterns%20of%20Gabor%20Magnitude%20and%20Phase%20for%20Face%20Recognition.pdf"]}, {"id": "c35aff2baba9b62fbddb23b2d4346a987823ad7d", "title": "A multi-classifier approach to face image segmentation for travel documents", "year": "2012", "pdf": []}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"]}, {"id": "47d32615dc396dece539b664969d2e102f5b0f63", "title": "Multibiometric system using fuzzy level set, and genetic and evolutionary feature extraction", "year": "2015", "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": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"]}, {"id": "53facf0d786366430886eff2fb7bf6da236b2899", "title": "Gender and Ethnicity Classification Using Partial Face in Biometric Applications", "year": "2014", "pdf": []}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "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": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "title": "Uncorrelated multi-set feature learning for color face recognition", "year": "2016", "pdf": []}, {"id": "16e8b0a1e8451d5f697b94c0c2b32a00abee1d52", "title": "UMB-DB: A database of partially occluded 3D faces", "year": "2011", "pdf": []}, {"id": "683c77c94b53db26ab3175bea0cad5b5f38bc672", "title": "Multiple-View Face Tracking For Modeling and Analysis Based On Non-Cooperative Video Imagery", "year": "2007", "pdf": []}, {"id": "8e01ce9c92a657077b2bbbe119523bd7429306f9", "title": "Partial Face Biometry Using Shape Decomposition on 2D Conformal Maps of Faces", "year": "2010", "pdf": ["http://liris.cnrs.fr/Documents/Liris-4732.pdf", "http://www3.cs.stonybrook.edu/~cvl/content/papers/2010/Szeptycki_icpr10.pdf"]}, {"id": "3affe6f9c2244f4b32c1c0f7d7f1d24770d40efe", "title": "Evaluating the Resilience of Face Recognition Systems against Malicious Attacks", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3aff/e6f9c2244f4b32c1c0f7d7f1d24770d40efe.pdf"]}, {"id": "3264df8917ad5e39e9a7f33bbfbce25ac7473a9b", "title": "JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3264/df8917ad5e39e9a7f33bbfbce25ac7473a9b.pdf"]}, {"id": "cde7901c0945683d0c677b1bb415786e4f6081e6", "title": "A Survey of 2D Face Databases", "year": "2015", "pdf": []}, {"id": "59cb6df1efe0d63b20f3e976c308e99334b9c363", "title": "Sparse Multi-regularized Shearlet-Network Using Convex Relaxation for Face Recognition", "year": "2014", "pdf": ["http://math.uh.edu/~dlabate/ICPR_2014.pdf", "https://www.math.uh.edu/~dlabate/ICPR_2014.pdf"]}, {"id": "eb6b8359909749e52efff9b78b037a88468101fd", "title": "Tracking and Recognizing Multiple Faces Using Kalman Filter and ModularPCA", "year": "2011", "pdf": ["http://www.researchgate.net/profile/Praveen_Sankaran/publication/220307716_Tracking_and_Recognizing_Multiple_Faces_Using_Kalman_Filter_and_ModularPCA/links/0f317535f37d126527000000.pdf"]}, {"id": "a57b87baca7f3512372e7d9cfb5a712c80b53289", "title": "3D Face recognition using distinctiveness enhanced facial representations and local feature hybrid matching", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a57b/87baca7f3512372e7d9cfb5a712c80b53289.pdf", "https://www.researchgate.net/profile/Liming_Chen5/publication/224194477_3D_Face_recognition_using_distinctiveness_enhanced_facial_representations_and_local_feature_hybrid_matching/links/0fcfd50d0d8f6375be000000.pdf"]}, {"id": "652d3f33fd0a99808dd646aed228b45eacdaf34f", "title": "A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters", "year": "2013", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/key-binding-pami-2013.pdf", "http://vishnu.boddeti.net/papers/key-binding-pami-2013.pdf"]}, {"id": "a509f0528c5fbb36993324922b13a9a303ce82ee", "title": "Evaluation of the Modelling of Local Areas and Errors of Localization in FRGC’05", "year": "2005", "pdf": ["http://www2.ece.ohio-state.edu/~aleix/FRGC05.pdf"]}, {"id": "8bbafa3efb7b96adb95128ea2a30a363bfe06812", "title": "Towards usable authentication on mobile phones : An evaluation of speaker and face recognition on off-the-shelf handsets", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bba/fa3efb7b96adb95128ea2a30a363bfe06812.pdf"]}, {"id": "1173cafc1d3880f73b98410f6131d0a93f423a0c", "title": "A Gender Detection Approach", "year": "2011", "pdf": ["http://cdn.intechopen.com/pdfs-wm/17748.pdf", "http://cdn.intechweb.org/pdfs/17748.pdf", "https://api.intechopen.com/chapter/pdf-download/17748"]}, {"id": "ff70cfaf3e085a6c32bfa7ebedb98adfb7658210", "title": "TABULA RASA Trusted Biometrics under Spoofing Attacks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ff70/cfaf3e085a6c32bfa7ebedb98adfb7658210.pdf"]}, {"id": "7b522c5d6d2d0699c4183a543b8e65b1a66d9e74", "title": "Understanding critical factors in appearance-based gender categorization", "year": "2012", "pdf": ["http://www.researchgate.net/profile/Luca_Pulina/publication/236943116_Understanding_critical_factors_in_appearance-based_gender_categorization/links/0deec5399bdf7940c8000000.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": "a3c210e73d827e8a7ea78c91d620af249164b4ae", "title": "Face verification with a kernel fusion method", "year": "2010", "pdf": []}, {"id": "ef247c194162f76eb8d44b1f83c25a4002ab69a6", "title": "An Effective Profile Based Video Browsing System for e-Learning.", "year": "2007", "pdf": []}, {"id": "42201e66a75a23f734c4f676d18a55d9358b6412", "title": "Thanks and warm regards Sincerely", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4220/1e66a75a23f734c4f676d18a55d9358b6412.pdf"]}, {"id": "51628cc779c6ccf8061aa77a18eed5c495515bcd", "title": "Multimodal biometric database DMCSv1 of 3D face and hand scans", "year": "2015", "pdf": []}, {"id": "24da9c1eb30ed5ef0052f760d5d847bf5cd1d2ba", "title": "A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes", "year": "2012", "pdf": ["http://www-users.cs.york.ac.uk/~nep/research/papers/creusot2013-IJCV.pdf", "http://www.clementcreusot.com/publications/papers/creusot2013-IJCV.pdf"]}, {"id": "33e5d1c93e4195a1bfd303a94f0fc3f1c5e233bd", "title": "3D Face Recognition Under Expression Variations using Similarity Metrics Fusion", "year": "2007", "pdf": ["http://www.cs.ccu.edu.tw/~wylin/publications/ICME07.pdf"]}, {"id": "08a03f966216e4c5bf13405556f16220a14ddb3d", "title": "Biometric verification based on facial profile images for mobile security", "year": "2015", "pdf": []}, {"id": "3ea27ba44a3e8a13148236807e569b909517ed89", "title": "Visual route recognition with a handful of bits", "year": "2012", "pdf": ["http://roboticsproceedings.org/rss08/p38.pdf", "http://www.roboticsproceedings.org/rss08/p38.pdf"]}, {"id": "05a116cb6e220f96837e4418de4aa8e39839c996", "title": "Projection into Expression Subspaces for Face Recognition from Single Sample per Person", "year": "2013", "pdf": []}, {"id": "8fe43144c0ff36ffefca869eec0a63e71ca02049", "title": "D correlation filter based class-dependence feature analysis for face recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/8fe4/3144c0ff36ffefca869eec0a63e71ca02049.pdf"]}, {"id": "a679a47de6b3114cb614a4c5577eea3b898bdb51", "title": "An Algorithm for Face Recognition based on Isolated Image Points with Neural Network", "year": "2016", "pdf": ["http://www.ijcaonline.org/archives/volume150/number2/hassan-2016-ijca-911457.pdf", "https://www.ijcaonline.org/archives/volume150/number2/26062-26062-2016911457?format=pdf"]}, {"id": "15860bc14c38c89256a4263b0d31eb67fd8ed923", "title": "Mel-cepstral methods for image feature extraction", "year": "2010", "pdf": ["https://zenodo.org/record/1184/files/05652293.pdf"]}, {"id": "5ec94adc9e0f282597f943ea9f4502a2a34ecfc2", "title": "Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04655.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": "0ed78b9562661c550e382ed30de252d877a04cdc", "title": "An Evaluation of Video-to-Video Face Verification", "year": "2010", "pdf": ["http://eprints.pascal-network.org/archive/00008876/01/norman_icb2009_journal_aas.pdf", "http://luks.fe.uni-lj.si/sl/osebje/vitomir/pub/TIFS.pdf", "http://users.dsic.upv.es/~rparedes/research/papers/pdfs/Poh10_TIFS_Video2VideoEvaluation.pdf", "https://www.cmpe.boun.edu.tr/~salah/poh10evaluation.pdf"]}, {"id": "8cc86387a3185c2c357f2ae748a17a8173ccb8e7", "title": "Fusion of the complementary Discrete Cosine Features in the YIQ color space for face recognition", "year": "2008", "pdf": []}, {"id": "4a9145d52184b20f7241f52509034819c79ee162", "title": "Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces", "year": "2011", "pdf": ["http://research.microsoft.com/pubs/140476/Final%20Version.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/Final20Version.pdf"]}, {"id": "2dd91115091f1691ea37c4b14788ca4199354012", "title": "Semi-supervised Learning by Sparse Representation.", "year": "2009", "pdf": ["http://www.jdl.ac.cn/project/faceId/paperreading/Paper/ytzhai_20090710_SDM2009_L1Graph.pdf", "http://www.lv-nus.org/papers/2009/2009_C_20.pdf"]}, {"id": "8eda0af45fe1fe32a22661aa1d03e7267a8181c8", "title": "VideoTicket: detecting identity fraud attempts via audiovisual certificates and signatures", "year": "2007", "pdf": []}, {"id": "3dde006a6bf19a2008116542ba3d39f9a280648c", "title": "Comparison of Feature Space Methods for Face Recognition", "year": "2006", "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": "332d773b70f2f6fb725d49f314f57b8f8349a067", "title": "Maximum Correntropy Criterion for Robust Face Recognition", "year": "2011", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/maximum%20correntropy%20criterion%20for%20robust%20face%20recognition.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": "c784ba7120e807e244f508c71e96cd7677fe1109", "title": "An efficient 3D face recognition approach based on the fusion of novel local low-level features", "year": "2013", "pdf": ["http://www.matlabi.ir/wp-content/uploads/bank_papers/ipaper/i61_www.Matlabi.ir_An%20efficient%203D%20face%20recognition%20approach%20based%20on%20the%20fusion%20of%20novel%20local%20low-level%20features.pdf"]}, {"id": "617253f275f14490c61dc9d8cb23ceb9c9d4ba35", "title": "A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking", "year": "2009", "pdf": ["http://liris.cnrs.fr/Documents/Liris-4503.pdf"]}, {"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "title": "300 Faces In-The-Wild Challenge: database and results", "year": "2016", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "https://spiral.imperial.ac.uk:8443/bitstream/10044/1/32322/2/300w.pdf"]}, {"id": "578e755e669caee147964f9412c23943cd0f0789", "title": "l2, 1 Regularized correntropy for robust feature selection", "year": "2012", "pdf": 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"title": "Deformation Modeling for Robust 3D Face Matching", "year": "2006", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/LuJain_3DDeformModel_CVPR06.pdf", "http://biometrics.cse.msu.edu/Publications/Face/XiaoguangJain3DDeformPAMI07.pdf", "https://www.researchgate.net/profile/Xiaoguang_Lu/publication/3194599_Deformation_Modeling_for_Robust_3D_Face_Matching/links/0912f51013c3a04a64000000.pdf"]}, {"id": "0ce4110d4c3d8b19ca0f7f75bc680aa9ba8d239a", "title": "Genetic algorithms for classifiers' training sets optimisation applied to human face recognition", "year": "2007", "pdf": []}, {"id": "9e6c15150179ce848402e89bd245831d9935f4f9", "title": "Bi-modal Face Recognition - How combining 2D and 3D Clues Can Increase the Precision", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9e6c/15150179ce848402e89bd245831d9935f4f9.pdf"]}, {"id": "ad7b6d2e8d66f720cc83323a0700c25006d49609", "title": "Face Recognition Under Varying Illumination Using Gradientfaces", "year": "2009", 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"http://www.macs.hw.ac.uk/bmvc2006/papers/392.pdf"]}, {"id": "465b75fa4b84948e19d8bf2ebf4fe4459c3c87ae", "title": "A deformation model to reduce the effect of expressions in 3D face recognition", "year": "2010", "pdf": ["http://www.cs.zju.edu.cn/~gpan/publication/2011-VisualComputer-3dfr.pdf"]}, {"id": "6c984bb3243f3b8d0afd8d90cd4ce85eb8f1dd3c", "title": "Ear Recognition System Using Neural Network Based Self Organizing Maps", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6c98/4bb3243f3b8d0afd8d90cd4ce85eb8f1dd3c.pdf"]}, {"id": "66c92c9145c2b6a304eb1b3a58e2a717884fe064", "title": "Emotions in Pervasive Computing Environments", "year": "2009", "pdf": ["https://arxiv.org/pdf/0912.1810.pdf"]}, {"id": "c0a32aa37f88c7725d0ba73453b2a51f5fb2bce8", "title": "Fuzzy matching of edge and curvature based features from range images for 3D face recognition", "year": "2017", "pdf": []}, {"id": "29c362ad0d13f9e60a25442c2298a1933c163431", "title": "Occlusion Detection and Localization from 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"http://ri.cmu.edu/pub_files/pub4/lucey_simon_2005_3/lucey_simon_2005_3.pdf"]}, {"id": "03318abb2db923cb15dc28bec1209a02be308ff6", "title": "3D Face Pose Normalization Using Equipartition Fitting Sphere Representation of Shape", "year": "2009", "pdf": []}, {"id": "e934a2ea5d56284b41f4c9d791dd5f77541ae1ef", "title": "3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure", "year": "2010", "pdf": []}, {"id": "0e9f7d8554e065a586163845dd2bfba26e55cefb", "title": "Registration of 3 D Face Scans with Average Face Models \u2217", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/0e9f/7d8554e065a586163845dd2bfba26e55cefb.pdf"]}, {"id": "da59f4fa6dc73b2b8b041e7d4e0e7f121297658a", "title": "Statistical non-rigid ICP algorithm and its application to 3D face alignment", "year": "2017", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/statistical_non_rigid_icp.pdf"]}, {"id": "2db197fa498d54c1a659b57bd70c4e467c2237ef", "title": "Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition", "year": "2007", "pdf": ["http://class.inrialpes.fr/pub/202-tan-amfg07b.pdf", "http://eprints.pascal-network.org/archive/00003663/01/046-x-tan-amfg2007.pdf", "http://parnec.nuaa.edu.cn/papers/conference/2007/xtan-AMFG07b.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/AMFG07_poster3.pdf", "http://www-ljk.imag.fr/Publications/Basilic/com.lmc.publi.PUBLI_Inproceedings@11777a7ff07_36ca67/Tan-amfg07b.pdf"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "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": "3929ff77805bc02993b187a6019dbed4f662d59c", "title": "Pose Overcomplete Automatic Registration Method for Video Based Robust Face Recognition", "year": "2017", "pdf": []}, {"id": "a7ee9c43058efbaa4caa7a93fd833d3c6e90f4b2", "title": "3D face recognition using pose invariant nose region detector", "year": "2014", "pdf": []}, {"id": "695e4c975740d2aedcfc42d7ec445b4b2b56cbeb", "title": "Principal Component Analysis : An Efficient Facial Feature Extraction Technique", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/695e/4c975740d2aedcfc42d7ec445b4b2b56cbeb.pdf"]}, {"id": "ca811f4bb2984aad00d5763c806decc5268e359b", "title": "Pose-invariant 3D face recognition using half face", "year": "2017", "pdf": []}, {"id": "0abfb5b89e9546f8a5c569ab35b39b888e7cea46", "title": "Toward Development of a Face Recognition System for Watchlist Surveillance", "year": "2011", "pdf": []}, {"id": "5479da1038a530beb760a38dbb5b08947dfaefbd", "title": "Fusing continuous spectral images for face recognition under indoor and outdoor illuminants", "year": "2008", "pdf": 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Part I: Methodology and algorithms", "year": "2012", "pdf": ["http://atvs.ii.uam.es/files/2012_SSiGGe_PR_Galbally_PART-I_PublishedOnLine.pdf", "https://www.researchgate.net/profile/Javier_Galbally/publication/256822520_Synthetic_on-line_signature_generation._Part_I_methodology_and_algorithms._Pattern_Recognit/links/00b7d526fa83ace295000000.pdf"]}, {"id": "163ba5a998973f9ead6be0ca873aed5934d5022e", "title": "PFW: A Face Database in the Wild for Studying Face Identification and Verification in Uncontrolled Environment", "year": "2013", "pdf": []}, {"id": "228ee338b5d49ce25b144af6a70baaab42f32811", "title": "Novel Dimension Reduction Method of Gabor Feature and its Application to Face Recognition", "year": "2009", "pdf": []}, {"id": "5712cfc11c561c453da6a31d515f4340dacc91a4", "title": "3D Facial Expression Reconstruction using Cascaded Regression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03491.pdf"]}, {"id": "116261c74ad54646f7d1d6be38cb9930f1bf44f6", "title": "3D Twins and 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"http://www.researchgate.net/profile/Ashraf_Kassim/publication/220734130_Directed_Markov_Stationary_Features_for_visual_classification/links/02e7e521e041193653000000.pdf"]}, {"id": "521482c2089c62a59996425603d8264832998403", "title": "Landmark localization on 3D/4D range data using a shape index-based statistical shape model with global and local constraints", "year": "2015", "pdf": ["http://www.cs.binghamton.edu/~scanavan/papers/CVIU_2015.pdf"]}, {"id": "1b2dd300a43d0553f1deb578d9aea45d99472136", "title": "Fast Approximation of Distance Between Elastic Curves using Kernels", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60db/1b6e9c6029753cb303dec934da22d8fbefb1.pdf"]}, {"id": "3898a9dcb22f87413f08bb44c656f4129e1c42df", "title": "On binary representations for biometric template protection", "year": "2011", "pdf": ["http://eprints.eemcs.utwente.nl/21528/01/2011_023_Chen_Thesis.pdf", "https://core.ac.uk/download/pdf/11482796.pdf"]}, {"id": 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"Representation Plurality and Fusion for 3-D Face Recognition", "year": "2008", "pdf": ["http://www.busim.ee.boun.edu.tr/~sankur/SankurFolder/SMC_3D_face.pdf"]}, {"id": "09af91e913324255bd8358e62cd3b8a25f7141ec", "title": "Comparing strategies for 3D face recognition from a 3D sensor", "year": "2013", "pdf": ["http://iris.usc.edu/Outlines/papers/2013/cho-shar-med-roman13.pdf"]}, {"id": "938d363a87fa4020fe1e526c439f6f52e66c33c9", "title": "Formulating Face Verification With Semidefinite Programming", "year": "2007", "pdf": ["http://www.lv-nus.org/papers/2007/2007_J_09.pdf"]}, {"id": "1d679b371c9dfd833cee0925de483562d2bc7d88", "title": "Face Recognition using 3D Summation Invariant Features", "year": "2006", "pdf": ["http://www.cecs.uci.edu/~papers/icme06/pdfs/0001733.pdf", "http://www.cs.ccu.edu.tw/~wylin/publications/icme2006.pdf"]}, {"id": "effd46389bc45dfdbf32f00eddeef6cf5f0f7947", "title": "Face Verification Using Kernel Principle Component Analysis", "year": "2013", "pdf": ["https://arxiv.org/pdf/1401.6108.pdf"]}, {"id": "1392d2f7310fcc1d07c3748b5416feaaf52c0b7e", "title": "The MCF Model: Utilizing Multiple Colors for Face Recognition", "year": "2011", "pdf": []}, {"id": "1d926403bb2f9f4883abda8ef60da547dd35ae97", "title": "Contributions to high-dimensional pattern recognition", "year": "2011", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/10939/tesisUPV3522.pdf;jsessionid=476029974E6F2AF78BE1B64BA0143EDA?sequence=1"]}, {"id": "e266dc5a2ddcafd3229124dd9baddd9fdf90ac87", "title": "Multilinear Subspace Learning for Face and Gait Recognition", "year": "2009", "pdf": []}, {"id": "65ee4de888e5b934429dcb126ee0ae544156c9bd", "title": "Face recognition using linear representation ensembles", "year": "2016", "pdf": ["http://bmc.uestc.edu.cn/~fshen/PR2016_hanxi.pdf"]}, {"id": "055b9efb3a7c558637c732d20ca5db311a2c6b50", "title": "Identity Management in Face Recognition Systems", "year": "2008", "pdf": []}, {"id": "df51dfe55912d30fc2f792561e9e0c2b43179089", "title": "Face Hallucination Using Linear Models of Coupled Sparse Support", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.06009.pdf"]}, {"id": "351550aa56b81de2eef4b8379dc85722366635dd", "title": "On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation", "year": "2010", "pdf": ["http://publications.idiap.ch/downloads/reports/2010/Marcel_Idiap-RR-09-2010.pdf", "http://publications.idiap.ch/downloads/reports/2010/Marcel_Idiap-RR-30-2010.pdf", "http://users.dsic.upv.es/~rparedes/research/papers/pdfs/Marcel10_ICPR_MOBIOcontest.pdf", "https://riunet.upv.es/bitstream/handle/10251/43469/Albiol%20Colomer,%20AJ,%20Villegas%20Santamar%C3%ADa,%20M,%20Paredes%20Palacios,%20R,%20Marcel,%20S,%20%20Mccool_%20On%20teh%20results%20of%20the%20first%20mobile%20biometric%20(MOBIO)....pdf;sequence=2"]}, {"id": "9e6ecc12794f1d3215f93376a32b350a0492ceb0", "title": "Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores", 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Illumination Night Time 120 meters Evaluating the Efficiency of a Night-Time , Middle-Range Infrared Sensor for Applications in Human Detection and Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/bcaa/5fab589d95890d539a3119657fa253176f0d.pdf"]}, {"id": "0ef906e6c67d8a4a2558ee8978178da4402024e5", "title": "Correspondence normal difference: An aligned representation of 3D faces to apply discriminant analysis methods", "year": "2011", "pdf": []}, {"id": "de7daa206f1dc3d5f83c5342fc08e3e92ddfa126", "title": "Index Codes for Multibiometric Pattern Retrieval", "year": "2012", "pdf": ["http://www.cse.msu.edu/~rossarun/pubs/GyaourovaIndexCodes_TIFS2012.pdf"]}, {"id": "894c2d4b9f49ae87f3a8937123e3d734f90ee6b0", "title": "Facial Features Classification Using the Temporal Correlation Matrix Memory (TCMML)", "year": "2009", "pdf": []}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics", "year": "2011", "pdf": []}, {"id": "5e821cb036010bef259046a96fe26e681f20266e", "title": "The Local Binary Pattern Approach and its Applications to Face Analysis", "year": "2008", "pdf": ["http://www.ee.oulu.fi/~hadid/IPTA2008.pdf", "https://pdfs.semanticscholar.org/d7e6/d52748c5ed386a90118fa385647c55954ab9.pdf"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf"]}, {"id": "21ab1e521820824b41606554e94dd0584734d100", "title": "Influence of compression on 3D face recognition", "year": "2009", "pdf": ["https://www.researchgate.net/profile/Miroslav_Hamouz/publication/222581437_Influence_of_compression_on_3D_face_recognition/links/09e4150a0afb24d5e0000000.pdf"]}, {"id": "be3fb00c4190e26b6a50a8c10c7a9ea5b8d45a2b", "title": "Using statistical characteristics of gradient phases for robust face recognition under illumination variations", "year": "2015", "pdf": []}, {"id": "22f8148e43c50341bad686d7fccb425b0682e667", "title": "Facial ethnicity classification based on boosted local texture and shape descriptions", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553815.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": "5a362e8f6eee03095fb3001b417fcddd80ea3d73", "title": "FRVT 2006: Quo Vadis face quality", "year": "2010", "pdf": ["http://www.cs.colostate.edu/~draper/papers/beveridge_ivc10.pdf", "http://www.cs.colostate.edu/~ross/research/frvtstudy/ivcj09csuFRVT.pdf", "http://www.cs.colostate.edu/~ross/research/frvtstudy/ivcj09csuRev1.pdf", "http://www.cs.colostate.edu/~vision/publications/ivcj09csu.pdf"]}, {"id": "a63ec22e84106685c15c869aeb157aa48259e855", "title": "A Fusion Framework for Face Recognition under Varying Illumination Based on Multi-Scale Analysis", "year": "2012", "pdf": []}, {"id": "05ce0e4e9ae2c7b2320decb3bb29e066f1dd96d3", "title": "Patch-wise low-dimensional probabilistic linear discriminant analysis for Face Recognition", "year": "2013", "pdf": ["http://luks.fe.uni-lj.si/sl/osebje/vitomir/pub/ICASSP2013.pdf"]}, {"id": "3e5917055297a6e9cbb5986fdbc0c345602b02e6", "title": "Geometrical face recognition after plastic surgery", "year": "2014", "pdf": []}, {"id": "5175ce1cd4978e5dc11995f9beb4ae84805aff27", "title": "A New Face Recognition Algorithm using Bijective Mappings", "year": "2005", "pdf": []}, {"id": "c20ac2441e6ec29ae926d3c5605b71ce10ef6dff", "title": "Heterogeneous image transformation", "year": "2013", "pdf": ["https://nannanwang.github.io/My_Papers/PRL2013.pdf"]}, {"id": "c3c7caee16dc77e5caf07890a2973367670b3511", "title": "Nearest orthogonal matrix representation for face recognition", "year": "2015", "pdf": []}, {"id": "4a1b67d1f30abeeecb270666605025d9d78971ff", "title": "Energy-based adaptive skin segmentation for hand and head detection", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4a1b/67d1f30abeeecb270666605025d9d78971ff.pdf"]}, {"id": "7b67c38a6f49e02c03e1cea98146a506f607b0d7", "title": "Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition", "year": "2011", "pdf": ["http://cbl.uh.edu/pub_files/Passalis_TPAMI_Oct2011.pdf", "http://graphics.di.uoa.gr/Downloads/papers/journals/p37.pdf"]}, {"id": "f22a7a7a8cdd323270d1f8173c0289d61981dc73", "title": "Face Recognition System Using Wavelet Normalization", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f22a/7a7a8cdd323270d1f8173c0289d61981dc73.pdf"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": []}, {"id": "722221f6c696b4a7cc094748aaad8158990ec41e", "title": "3D facial expression recognition: A perspective on promises and challenges", "year": "2011", "pdf": ["http://cbl.uh.edu/pub_files/05771466.pdf", "https://www.cimat.mx/~omar/papers/3DFEA-FG.pdf"]}, {"id": "6af7f8817d19192b157d9612139a7dcc9ef8930a", "title": "Extracting efficient color features for face recognition using evolutionary computation", "year": "2005", "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": "1175e6e0f37be33d0bee87a63ac31631f3e1462d", "title": "Exploiting Samples Quality in Evaluating and Improving 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"http://doi.org/10.1109/CVPR.2007.383519"]}, {"id": "8e01ce9c92a657077b2bbbe119523bd7429306f9", "title": "Partial Face Biometry Using Shape Decomposition on 2D Conformal Maps of Faces", "year": "2010", "pdf": ["http://liris.cnrs.fr/Documents/Liris-4732.pdf", "http://www3.cs.stonybrook.edu/~cvl/content/papers/2010/Szeptycki_icpr10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5595907", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.372", "http://doi.org/10.1109/ICPR.2010.372"]}, {"id": "3affe6f9c2244f4b32c1c0f7d7f1d24770d40efe", "title": "Evaluating the Resilience of Face Recognition Systems against Malicious Attacks", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3aff/e6f9c2244f4b32c1c0f7d7f1d24770d40efe.pdf"], "doi": []}, {"id": "3264df8917ad5e39e9a7f33bbfbce25ac7473a9b", "title": "JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3264/df8917ad5e39e9a7f33bbfbce25ac7473a9b.pdf"], "doi": []}, {"id": "cde7901c0945683d0c677b1bb415786e4f6081e6", "title": "A Survey of 2D Face Databases", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300980", "http://doi.ieeecomputersociety.org/10.1109/IRI.2015.44", "http://doi.org/10.1109/IRI.2015.44"]}, {"id": "59cb6df1efe0d63b20f3e976c308e99334b9c363", "title": "Sparse Multi-regularized Shearlet-Network Using Convex Relaxation for Face Recognition", "year": "2014", "pdf": ["http://math.uh.edu/~dlabate/ICPR_2014.pdf", "https://www.math.uh.edu/~dlabate/ICPR_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977506", "http://doi.org/10.1109/ICPR.2014.793"]}, {"id": "eb6b8359909749e52efff9b78b037a88468101fd", "title": "Tracking and Recognizing Multiple Faces Using Kalman Filter and ModularPCA", "year": "2011", "pdf": ["http://www.researchgate.net/profile/Praveen_Sankaran/publication/220307716_Tracking_and_Recognizing_Multiple_Faces_Using_Kalman_Filter_and_ModularPCA/links/0f317535f37d126527000000.pdf"], "doi": ["http://doi.org/10.1016/j.procs.2011.08.047"]}, {"id": "a57b87baca7f3512372e7d9cfb5a712c80b53289", "title": "3D Face recognition using distinctiveness enhanced facial representations and local feature hybrid matching", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a57b/87baca7f3512372e7d9cfb5a712c80b53289.pdf", "https://www.researchgate.net/profile/Liming_Chen5/publication/224194477_3D_Face_recognition_using_distinctiveness_enhanced_facial_representations_and_local_feature_hybrid_matching/links/0fcfd50d0d8f6375be000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634497", "http://doi.org/10.1109/BTAS.2010.5634497"]}, {"id": "652d3f33fd0a99808dd646aed228b45eacdaf34f", "title": "A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters", "year": "2013", "pdf": ["http://hal.cse.msu.edu/pdfs/papers/key-binding-pami-2013.pdf", "http://vishnu.boddeti.net/papers/key-binding-pami-2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6342944", "http://doi.org/10.1109/TPAMI.2012.244", "https://www.ncbi.nlm.nih.gov/pubmed/23868770", "https://www.wikidata.org/entity/Q45738580"]}, {"id": "a509f0528c5fbb36993324922b13a9a303ce82ee", "title": "Evaluation of the Modelling of Local Areas and Errors of Localization in FRGC’05", "year": "2005", "pdf": ["http://www2.ece.ohio-state.edu/~aleix/FRGC05.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1565480", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2005.574", "http://doi.org/10.1109/CVPR.2005.574"]}, {"id": "8bbafa3efb7b96adb95128ea2a30a363bfe06812", "title": "Towards usable authentication on mobile phones : An evaluation of speaker and face recognition on off-the-shelf handsets", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bba/fa3efb7b96adb95128ea2a30a363bfe06812.pdf"], "doi": []}, {"id": "1173cafc1d3880f73b98410f6131d0a93f423a0c", "title": "A Gender Detection Approach", "year": "2011", "pdf": ["http://cdn.intechopen.com/pdfs-wm/17748.pdf", "http://cdn.intechweb.org/pdfs/17748.pdf", "https://api.intechopen.com/chapter/pdf-download/17748"], "doi": ["https://doi.org/10.5772/21732"]}, {"id": "ff70cfaf3e085a6c32bfa7ebedb98adfb7658210", "title": "TABULA RASA Trusted Biometrics under Spoofing Attacks", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ff70/cfaf3e085a6c32bfa7ebedb98adfb7658210.pdf"], "doi": []}, {"id": "7b522c5d6d2d0699c4183a543b8e65b1a66d9e74", "title": "Understanding critical factors in appearance-based gender categorization", "year": "2012", "pdf": ["http://www.researchgate.net/profile/Luca_Pulina/publication/236943116_Understanding_critical_factors_in_appearance-based_gender_categorization/links/0deec5399bdf7940c8000000.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33868-7_28"]}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2015.11.008", "https://doi.org/10.1016/j.patcog.2015.11.008"]}, {"id": "a3c210e73d827e8a7ea78c91d620af249164b4ae", "title": "Face verification with a kernel fusion method", "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2009.12.030"]}, {"id": "ef247c194162f76eb8d44b1f83c25a4002ab69a6", "title": "An Effective Profile Based Video Browsing System for e-Learning.", "year": "2007", "pdf": [], "doi": []}, {"id": "42201e66a75a23f734c4f676d18a55d9358b6412", "title": "Thanks and warm regards Sincerely", "year": "", "pdf": ["https://pdfs.semanticscholar.org/4220/1e66a75a23f734c4f676d18a55d9358b6412.pdf"], "doi": []}, {"id": "51628cc779c6ccf8061aa77a18eed5c495515bcd", "title": "Multimodal biometric database DMCSv1 of 3D face and hand scans", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208488", "http://doi.org/10.1109/MIXDES.2015.7208488"]}, {"id": "24da9c1eb30ed5ef0052f760d5d847bf5cd1d2ba", "title": "A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes", "year": "2012", "pdf": ["http://www-users.cs.york.ac.uk/~nep/research/papers/creusot2013-IJCV.pdf", "http://www.clementcreusot.com/publications/papers/creusot2013-IJCV.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0605-9"]}, {"id": "33e5d1c93e4195a1bfd303a94f0fc3f1c5e233bd", "title": "3D Face Recognition Under Expression Variations using Similarity Metrics Fusion", "year": "2007", "pdf": ["http://www.cs.ccu.edu.tw/~wylin/publications/ICME07.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4284753", "http://doi.org/10.1109/ICME.2007.4284753"]}, {"id": "08a03f966216e4c5bf13405556f16220a14ddb3d", "title": "Biometric verification based on facial profile images for mobile security", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1108/JSIT-03-2014-0020"]}, {"id": "3ea27ba44a3e8a13148236807e569b909517ed89", "title": "Visual route recognition with a handful of bits", "year": "2012", "pdf": ["http://roboticsproceedings.org/rss08/p38.pdf", "http://www.roboticsproceedings.org/rss08/p38.pdf"], "doi": ["http://doi.org/10.15607/RSS.2012.VIII.038"]}, {"id": "05a116cb6e220f96837e4418de4aa8e39839c996", "title": "Projection into Expression Subspaces for Face Recognition from Single Sample per Person", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313589", "http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2012.30", "http://doi.org/10.1109/T-AFFC.2012.30"]}, {"id": 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Representation.", "year": "2009", "pdf": ["http://www.jdl.ac.cn/project/faceId/paperreading/Paper/ytzhai_20090710_SDM2009_L1Graph.pdf", "http://www.lv-nus.org/papers/2009/2009_C_20.pdf"], "doi": ["http://doi.org/10.1137/1.9781611972795.68"]}, {"id": "8eda0af45fe1fe32a22661aa1d03e7267a8181c8", "title": "VideoTicket: detecting identity fraud attempts via audiovisual certificates and signatures", "year": "2007", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1600192"]}, {"id": "3dde006a6bf19a2008116542ba3d39f9a280648c", "title": "Comparison of Feature Space Methods for Face Recognition", "year": "2006", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1640486", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2006.58", "http://doi.org/10.1109/CVPRW.2006.58"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": 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feature vectors", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_CBMI.pdf", "http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/05/2015-Learning_to_Hash_Faces_Using_Large_Feature_Vectors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153611", "http://doi.org/10.1109/CBMI.2015.7153611", "https://hal.archives-ouvertes.fr/hal-01186444/document"]}, {"id": "80ce72984af1739a4f6d4c972dbaee62fb8c5a74", "title": "FG2015 age progression evaluation", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163157", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163157", "http://doi.org/10.1109/FG.2015.7163157"]}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "ca23c473becf0048ef294f7c25e579d7095cb27d", "title": "Essence 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4118771", "http://doi.ieeecomputersociety.org/10.1109/WACV.2007.23", "http://doi.org/10.1109/WACV.2007.23"]}, {"id": "c18d80d00f2a7107bfe780eeec21b51a634ea925", "title": "Computational perspectives on the other-race effect", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c18d/80d00f2a7107bfe780eeec21b51a634ea925.pdf"], "doi": []}, {"id": "906b93f519218d4ba2d1640a43fa53cc24531d4b", "title": "Robust albedo estimation from a facial image with cast shadow", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116697", "http://doi.org/10.1109/TIP.2012.2214042", "https://www.ncbi.nlm.nih.gov/pubmed/22910111", "https://www.wikidata.org/entity/Q45115551"]}, {"id": "8602b2ef26a0f851f1f6f2f2ae0ce142eb64300a", "title": "Is it a face ? 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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"], "doi": ["http://doi.org/10.1016/j.cviu.2013.09.004"]}, {"id": "063792ff9a139a5b8375afcd35e4ae6c8d83c352", "title": "Rapid stereo-vision enhanced face detection", "year": "2009", "pdf": ["http://people.mpi-inf.mpg.de/~scherbaum/publications/RapidStero-VisionEnhancedFaceDetection.pdf", "http://people.mpi-inf.mpg.de/~scherbaum/publications/RapidStero-VisionEnhancedFaceDetection_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5413675", "http://doi.org/10.1109/ICIP.2009.5413675"]}, {"id": "9c1cddcabc6610913ea87e3ad0ea2fe85997d9ca", "title": "Sparse Representation for 3D Face Recognition", "year": "2013", "pdf": [], "doi": 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Descriptors for Automatic 3 D Facial Feature Extraction", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9f74/86eaef2a8abca70ca23e8ffb11d06bd13a8b.pdf"], "doi": []}, {"id": "c8e2582948d60d6363aa20208000f07c002c21cb", "title": "A STATE OF THE ART COMPARISON OF DATABASES FOR FACIAL OCCLUSION", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c8e2/582948d60d6363aa20208000f07c002c21cb.pdf"], "doi": []}, {"id": "2f4be1b5655df160c31cb132172922e0f440857c", "title": "A Blur-Robust Descriptor with Applications to Face Recognition", "year": "2012", "pdf": ["http://www.research.att.com/export/sites/att_labs/techdocs/TD_100767.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6127874", "http://doi.org/10.1109/TPAMI.2012.15", "https://www.ncbi.nlm.nih.gov/pubmed/22231594", "https://www.wikidata.org/entity/Q34122412"]}, {"id": "695423ede04c7ccf05997c123fd8ab9b94c4a088", "title": "Framework for Performance Evaluation of Face, Text, and Vehicle Detection and 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"http://doi.org/10.1109/FG.2013.6553815"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4804691", "http://doi.org/10.1109/TSMCB.2009.2014245", "https://www.ncbi.nlm.nih.gov/pubmed/19336313", "https://www.wikidata.org/entity/Q51843330"]}, {"id": "5a362e8f6eee03095fb3001b417fcddd80ea3d73", "title": "FRVT 2006: Quo Vadis face quality", "year": "2010", "pdf": ["http://www.cs.colostate.edu/~draper/papers/beveridge_ivc10.pdf", "http://www.cs.colostate.edu/~ross/research/frvtstudy/ivcj09csuFRVT.pdf", "http://www.cs.colostate.edu/~ross/research/frvtstudy/ivcj09csuRev1.pdf", "http://www.cs.colostate.edu/~vision/publications/ivcj09csu.pdf"], "doi": 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Recognition", "year": "2011", "pdf": ["http://cbl.uh.edu/pub_files/Passalis_TPAMI_Oct2011.pdf", "http://graphics.di.uoa.gr/Downloads/papers/journals/p37.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728826", "http://doi.org/10.1109/TPAMI.2011.49", "https://www.ncbi.nlm.nih.gov/pubmed/21383396", "https://www.wikidata.org/entity/Q45740353"]}, {"id": "f22a7a7a8cdd323270d1f8173c0289d61981dc73", "title": "Face Recognition System Using Wavelet Normalization", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f22a/7a7a8cdd323270d1f8173c0289d61981dc73.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "722221f6c696b4a7cc094748aaad8158990ec41e", "title": "3D facial expression recognition: A perspective on promises and 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["https://arxiv.org/pdf/1807.08512.pdf"]}, {"id": "ac6b280f2a43516fbaf92073304002f9f4da0188", "title": "Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients", "year": "2014", "pdf": ["http://parnec.nuaa.edu.cn/xtan/paper/PR14b.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": "d00c335fbb542bc628642c1db36791eae24e02b7", "title": "Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d00c/335fbb542bc628642c1db36791eae24e02b7.pdf"]}, {"id": "210668e2dd74916ca1aa1555aff30e78cd3f477e", "title": "Detector of Facial Landmarks Learned by the Structured Output SVM", "year": "2012", "pdf": []}, {"id": "8e3d0b401dec8818cd0245c540c6bc032f169a1d", "title": "McGan: Mean and Covariance Feature Matching GAN", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.08398.pdf"]}, {"id": "d37519f8b26a86162bff65ee48d3a805773b7c98", "title": "Fast and efficient compact feature descriptor for face recognition", "year": "2017", "pdf": []}, {"id": "269912f07c693453dbe5ae69175d06e841e2d9b5", "title": "Adapting pedestrian detectors to new domains: A comprehensive review", "year": "2016", "pdf": ["http://eprints.whiterose.ac.uk/102212/1/elsarticle-template-num.pdf"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"]}, {"id": "0fa077478abea097a1b74915ccaaeb4952eaaec7", "title": "Object Classification With Joint Projection and Low-Rank Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.01594.pdf"]}, {"id": "e692870efb009da4b9316678b354ae935fdf48eb", "title": "An Efficient and Robust Gender Classification System", "year": "2015", "pdf": []}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based features at kernel level for face recognition \u2606", "year": "2017", "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": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"]}, {"id": "cfbb2d32586b58f5681e459afd236380acd86e28", "title": "Improving alignment of faces for recognition", "year": "2011", "pdf": ["http://www.professeurs.polymtl.ca/christopher.pal/2011/ROSE.v2.5.pdf"]}, {"id": "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "title": "Online Heterogeneous Transfer Metric Learning", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0350.pdf"]}, {"id": "8913a5b7ed91c5f6dec95349fbc6919deee4fc75", "title": "BigBIRD: A large-scale 3D database of object instances", "year": "2014", "pdf": ["http://www.cs.berkeley.edu/~karthik.narayan/assets/2014-ICRA-BigBIRD.pdf", "http://www.cs.cornell.edu/~hema/rgbd-workshop-2014/papers/Singh.pdf", "https://people.eecs.berkeley.edu/~pabbeel/papers/2014-ICRA-BigBIRD.pdf"]}, {"id": "8de1c724a42d204c0050fe4c4b4e81a675d7f57c", "title": "Deep Face Recognition: A Survey", "year": "2018", "pdf": ["https://talhassner.github.io/home/projects/DeepFaceSurvey/Masietal2018deepfacesurvey.pdf"]}, {"id": "4d9b757b51e52dc5da81f47f7006833269a55ff2", "title": "Extrapolating Expected Accuracies for Large Multi-Class Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09713.pdf"]}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": []}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": []}, {"id": "0b8c92463f8f5087696681fb62dad003c308ebe2", "title": "On matching sketches with digital face images", "year": "2010", "pdf": ["https://www.iiitd.edu.in/~richa/papers/BTAS10-Sketch.pdf"]}, {"id": "de878384f00b6ce1caa66ac01735fb4b63ad0279", "title": "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision", "year": "2015", "pdf": []}, {"id": "1bc075fd7cc4bd847c9dbf4e990f295954b89fe6", "title": "Towards Large-Scale 3D Face Recognition", "year": "2016", "pdf": []}, {"id": "5a93f9084e59cb9730a498ff602a8c8703e5d8a5", "title": "Face Recognition using Local Quantized Patterns", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5a93/f9084e59cb9730a498ff602a8c8703e5d8a5.pdf"]}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"]}, {"id": "008d536060dfb10782e889f133551c9b87b2cfa2", "title": "Covariance descriptor based on bio-inspired features for person re-identification and face verification", "year": "2014", "pdf": ["https://hal.archives-ouvertes.fr/file/index/docid/1009958/filename/14_IMAVIS_REID.pdf", "https://jurie.users.greyc.fr/papers/14_IMAVIS_REID.pdf"]}, {"id": "f834c50e249c9796eb7f03da7459b71205dc0737", "title": "Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching", "year": "2012", "pdf": []}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "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": "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": "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "title": "Object Tracking by Oversampling Local Features", "year": "2014", "pdf": ["http://www.micc.unifi.it/pernici/index_files/ALIEN_final.pdf"]}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.pdf"]}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"]}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"]}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.pdf"]}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"]}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"]}, {"id": "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "title": "Face Recognition Using a Unified 3D Morphable Model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0431/7e63c08e7888cef480fe79f12d3c255c5b00.pdf"]}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": []}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"]}, {"id": "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "title": "Two-Dimensional Joint Bayesian Method for Face Verification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/8c9b/29d6df5601d0bc9f6164d99a26a1cb1e256d.pdf"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "0c75c7c54eec85e962b1720755381cdca3f57dfb", "title": "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", "year": "2016", "pdf": ["https://webpages.uncc.edu/~szhang16/paper/PAMI_face_landmark.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": "51c3050fb509ca685de3d9ac2e965f0de1fb21cc", "title": "Fantope Regularization in Metric Learning", "year": "2014", "pdf": ["http://cedric.cnam.fr/~thomen/papers/Law_CVPR_2014_Fantope.pdf", "http://vision.ia.ac.cn/zh/senimar/reports/Fantope%20Regularization%20in%20Metric%20Learning%20-%20byh.pdf", "http://www-poleia.lip6.fr/~lawm/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"]}, {"id": "1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"]}, {"id": "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "title": "Adversarial Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03170.pdf"]}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.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": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": []}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.pdf"]}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"]}, {"id": "5a8f96f6906af8fbf73810b88c68b84a31555f60", "title": "Iterative Grassmannian Optimization for Robust Image Alignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1306.0404.pdf"]}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"]}, {"id": "db0b512d4473bf9d08875bc001038e9a3fc71a11", "title": "Research on Unstructured Text Data Mining and Fault Classification Based on RNN-LSTM with Malfunction Inspection Report", "year": "2017", "pdf": ["http://www.mdpi.com/1996-1073/10/3/406/pdf"]}, {"id": "818e537b0c6ec8b388ab14d947dda50ff2f8ed13", "title": "Semi Supervised Learning in Wild Faces and Videos", "year": "2011", "pdf": []}, {"id": "3b9d94752f8488106b2c007e11c193f35d941e92", "title": "Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3b9d/94752f8488106b2c007e11c193f35d941e92.pdf"]}, {"id": "103450d77d7a57f1643b0b4963ab3e3a078e6c95", "title": "Online learning and detection of faces with low human supervision", "year": "2018", "pdf": []}, {"id": "3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b", "title": "Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.04363.pdf"]}, {"id": "ce54e891e956d5b502a834ad131616786897dc91", "title": "Face Recognition Using LTP Algorithm", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/ce54/e891e956d5b502a834ad131616786897dc91.pdf"]}, {"id": "6fa3857faba887ed048a9e355b3b8642c6aab1d8", "title": "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6fa3/857faba887ed048a9e355b3b8642c6aab1d8.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"]}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", "title": "On Face Segmentation, Face Swapping, and Face Perception", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06729.pdf"]}, {"id": "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "title": "Binary Gradient Correlation Patterns for Robust Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60b3/601d70f5cdcfef9934b24bcb3cc4dde663e7.pdf"]}, {"id": "c813413fc84be33d7c4ccdd4a1f025ccc73a77bd", "title": "Discriminative Bayesian Active Shape Models", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c813/413fc84be33d7c4ccdd4a1f025ccc73a77bd.pdf"]}, {"id": "753bfc20fc820d33b8069dde1ddcb3a662d07a3f", "title": "Bilateral Two-Dimensional Neighborhood Preserving Discriminant Embedding for Face Recognition", "year": "2017", "pdf": []}, {"id": "48bc87ccc6b6e2d318f91d5f1886432806fec553", "title": "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.12317.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": "48121f5937accc8050b0c9bf2be6d1c58b07a8a0", "title": "Multi-pose face recognition by dynamic loss weights", "year": "2017", "pdf": []}, {"id": "0a88f5936528dcfdd27df886b07e62f2fd2072d0", "title": "Supervised Congealing for Simultaneous Face Normalization and Eye Localization", "year": "2009", "pdf": []}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"]}, {"id": "367f5243e3a7cd3dede3a9b2c540906d18161636", "title": "Weakly supervised learning from multiple modalities: exploiting video, audio and text for video understanding", "year": "2009", "pdf": []}, {"id": "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "title": "Robot semantic place recognition based on deep belief networks and a direct use of tiny images. (Robot de reconnaissance des lieux s\u00e9mantiques bas\u00e9e sur l'architecture profonde et une utilisation directe de mini-images)", "year": "2012", "pdf": []}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"]}, {"id": "310dcf9edb491b63d09a9eb55a99ad6bb46da1d4", "title": "A learning-based human facial image quality evaluation method in video-based face recognition systems", "year": "2017", "pdf": []}, {"id": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partially_Shared_Multi-Task_CVPR_2018_paper.pdf"]}, {"id": "1175e6e0f37be33d0bee87a63ac31631f3e1462d", "title": "Exploiting Samples Quality in Evaluating and Improving Performance of Biometric Systems", "year": "2011", "pdf": ["http://infonomics-society.org/wp-content/uploads/ijds/published-papers/volume-2-2011/Exploiting-Samples-Quality-in-Evaluating-and-Improving-Performance-of-Biometric-Systems.pdf"]}, {"id": "41f8dd3de3380d49ed3809c582b139d9be5176e9", "title": "The Price of Fair PCA: One Extra dimension", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00103.pdf"]}, {"id": "ad7df582a51dab276cf3db3a56c4b7166bc3632c", "title": "SIFRS: Spoof Invariant Facial Recognition System (A Helping Hand for Visual Impaired People)", "year": "2018", "pdf": []}, {"id": "68484ae8a042904a95a8d284a7f85a4e28e37513", "title": "Spoofing Deep Face Recognition with Custom Silicone Masks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6848/4ae8a042904a95a8d284a7f85a4e28e37513.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": "2ef51b57c4a3743ac33e47e0dc6a40b0afcdd522", "title": "Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition", "year": "2011", "pdf": ["https://arxiv.org/pdf/1108.1122.pdf"]}, {"id": "ab133af7ec2726f712dd049213e6a27449d28c78", "title": "An improved sparse code representation using local matching for deterministic face authentication", "year": "2014", "pdf": []}, {"id": "917423ac7e47cc6131084f645444aaf98cb98395", "title": "A high-throughput screening approach to discovering good forms of inspired visual representation", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9174/23ac7e47cc6131084f645444aaf98cb98395.pdf"]}, {"id": "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "title": "Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f17/f6c460e02bd105dcbf14c9b73f34c5fb59bd.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": "743e582c3e70c6ec07094887ce8dae7248b970ad", "title": "Face Recognition based on Deep Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/743e/582c3e70c6ec07094887ce8dae7248b970ad.pdf"]}, {"id": "c7c8d150ece08b12e3abdb6224000c07a6ce7d47", "title": "DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.05271.pdf"]}, {"id": "759a3b3821d9f0e08e0b0a62c8b693230afc3f8d", "title": "Attribute and simile classifiers for face verification", "year": "2009", "pdf": []}, {"id": "aba9acb4a607071af10684f2cfbdefa0507a4e9a", "title": "Uncorrelated multi-set feature learning for color face recognition", "year": "2016", "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": "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": "19d53bb35baf6ab02368756412800c218a2df71c", "title": "DeepDeblur: Fast one-step blurry face images restoration.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.09515.pdf"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": []}, {"id": "7ce03597b703a3b6754d1adac5fbc98536994e8f", "title": "On the Intrinsic Dimensionality of Face Representation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09672.pdf"]}, {"id": "baa6b659c18ede26085dff29fb1b3130217e9102", "title": "Head pose estimation using image abstraction and local directional quaternary patterns for multiclass classification", "year": "2014", "pdf": []}, {"id": "116808d63af1cdfa30b9cb9abfa6883f932cc44f", "title": "Feature fusion with covariance matrix regularization in face recognition", "year": "2018", "pdf": ["https://dr.ntu.edu.sg/bitstream/handle/10220/44512/Feature%20Fusion%20with%20Covariance%20Matrix%20Regularization%20in.pdf?isAllowed=y&sequence=1"]}, {"id": "6c01b349edb2d33530e8bb07ba338f009663a9dd", "title": "Cross-Media Alignment of Names and Faces", "year": "2010", "pdf": ["http://class.inrialpes.fr/pub/pham-tmm09.pdf"]}, {"id": "238fc68b2e0ef9f5ec043d081451902573992a03", "title": "Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition", "year": "2016", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ChuanxianRen-ELGOF-TCYB.pdf"]}, {"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "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": "7c86f71de716a297950dc46f45152e03bfbc475d", "title": "Asymmetric Joint Learning for Heterogeneous Face Recognition", "year": "2018", "pdf": []}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "year": "2017", "pdf": []}, {"id": "02e133aacde6d0977bca01ffe971c79097097b7f", "title": "Convolutional Neural Fabrics", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.02492.pdf"]}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"]}, {"id": "5b0ebb8430a04d9259b321fc3c1cc1090b8e600e", "title": "The One-Shot similarity kernel", "year": "2009", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/osskernel.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": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"]}, {"id": "90d735cffd84e8f2ae4d0c9493590f3a7d99daf1", "title": "Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment", 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Investigating factors of influence in profile images context perception", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e8dd/a897372e6b4cf903234c7a9c40117711d8d8.pdf"]}, {"id": "7c2ecfb2feb2b8bd61232567631fe5c0f336cc14", "title": "Unblinking eyes: the ethics of automating surveillance", "year": "2012", "pdf": []}, {"id": "e7906370eae8655fb69844ae1a3d986c9f37c902", "title": "Face recognition using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e790/6370eae8655fb69844ae1a3d986c9f37c902.pdf"]}, {"id": "df2494da8efa44d70c27abf23f73387318cf1ca8", "title": "Supervised Filter Learning for Representation Based Face Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/df24/94da8efa44d70c27abf23f73387318cf1ca8.pdf"]}, {"id": "27a0a7837f9114143717fc63294a6500565294c2", "title": "Face Recognition in Unconstrained Environments : A Comparative Study", "year": "2015", "pdf": 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"InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f1aa/120fb720f6cfaab13aea4b8379275e6d40a2.pdf"]}, {"id": "6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe", "title": "A novel rank order LoG filter for interest point detection", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0000937.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": "140c95e53c619eac594d70f6369f518adfea12ef", "title": "Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A", "year": "2015", "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": "32d15024dbac059d6ba5ef8dc4cacebeba5df68f", "title": "On Hair Recognition in the Wild by Machine", "year": "2014", "pdf": ["http://cse.msu.edu/~liuxm/publication/Roth_Liu_AAAI2014.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2014AAAI_Roth_Liu.pdf", "https://pdfs.semanticscholar.org/8eb7/d148107a6cca99b788d70b5134583d28e9c4.pdf"]}, {"id": "0252256fa23eceb54d9eea50c9fb5c775338d9ea", "title": "Application-driven Advances in Multi-biometric Fusion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0252/256fa23eceb54d9eea50c9fb5c775338d9ea.pdf"]}, {"id": "e6ca412a05002b51d358c2e3061913c3dab6b810", "title": "MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10580.pdf"]}, {"id": "f49b4ab188dd090367d9f6762473879b2bba16cf", "title": "Extreme 3D Face Reconstruction: Seeing Through Occlusions", "year": "2018", "pdf": []}, {"id": "5b3f345f1e3ff54e088b8d7ca2f831fd34dcb80a", "title": "Face Painting: querying art with photos", "year": "2015", "pdf": ["http://www.bmva.org/bmvc/2015/papers/paper065/abstract065.pdf", "http://www.bmva.org/bmvc/2015/papers/paper065/paper065.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2015/Crowley15/crowley15.pdf", "https://www.research.ed.ac.uk/portal/files/28430753/crowley15.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": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": []}, {"id": "d8c62e812a03f7cefe1e5300232e2a031e3dadfb", "title": "FACE IMAGE RECOGNITION BASED ON PARTIAL FACE MATCHING USING GENETIC ALGORITHM", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/d8c6/2e812a03f7cefe1e5300232e2a031e3dadfb.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": "7397fc452aac26712099170431a02fd531f97cf0", "title": "An MKD-SRC Approach for Face Recognition from Partial Image", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7397/fc452aac26712099170431a02fd531f97cf0.pdf"]}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"]}, {"id": "5322b4232b234d0b1b06463fcbc0d1e20396de4e", "title": "Runtime Network Routing for Efficient Image Classification.", "year": "2018", "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": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "pdf": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": []}, {"id": "b1961dca4d37aa72a0713fd2164d70126ffc0587", "title": "Non-uniform patch based face recognition via 2D-DWT", "year": "2015", "pdf": []}, {"id": "44078d0daed8b13114cffb15b368acc467f96351", "title": "Triplet probabilistic embedding for face verification and clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.05417.pdf"]}, {"id": "9d757c0fede931b1c6ac344f67767533043cba14", "title": "Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9d75/7c0fede931b1c6ac344f67767533043cba14.pdf"]}, 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"https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/shapeAttr.pdf", "https://people.eecs.berkeley.edu/~dfouhey/2016/shapeAttr/talk_final.pdf"]}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"]}, {"id": "2c56e17a37c3584d128e7baf3cbea595a150f74f", "title": "Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network", "year": "2018", "pdf": []}, {"id": "4f77a37753c03886ca9c9349723ec3bbfe4ee967", "title": "Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf"]}, {"id": "95d0cd902ff0fa253b6757ba3c8e09ce25b494cc", "title": "A novel method for eye tracking and blink detection in video frames", "year": "2015", "pdf": []}, {"id": "326ccae22d5d28812adef8c88dcfb1cddc2bb4e3", "title": "A Bezier Curve Cohort Selection Strategy for Face Pair Matching", "year": "2018", "pdf": []}, {"id": "ac0d88ca5f75a4a80da90365c28fa26f1a26d4c4", "title": "MOT16: A Benchmark for Multi-Object Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1603.00831.pdf"]}, {"id": "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "title": "Kernel dictionary learning based discriminant analysis", "year": "2016", "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": "78fdf2b98cf6380623b0e20b0005a452e736181e", "title": "Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/78fd/f2b98cf6380623b0e20b0005a452e736181e.pdf"]}, {"id": "d452eaa8decb8c7a83bc716beaf8e9e74a3c2218", "title": "K-Means Clustering For Detection of Human Faces in Databases", "year": "2009", "pdf": []}, {"id": "e83b017eaedfbf19d598799d8a1884c57c634782", "title": "GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories", "year": "2018", "pdf": []}, {"id": "3c086601ce0bac61047b5b931b253bd4035e1e7a", "title": "Occlusion handling in feature point tracking using ranked parts based models", "year": "2015", "pdf": []}, {"id": "83447d47bb2837b831b982ebf9e63616742bfdec", "title": "An Automatic System for Unconstrained Video-Based Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.04058.pdf"]}, {"id": "47e8db3d9adb79a87c8c02b88f432f911eb45dc5", "title": "MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for 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Representations for Fine-grained Categorization", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d6a9/ea9b40a7377c91c705f4c7f206a669a9eea2.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": "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": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.pdf"]}, {"id": "7bdcd85efd1e3ce14b7934ff642b76f017419751", "title": "Learning Discriminant Face Descriptor", "year": 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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": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"]}, {"id": "b49affdff167f5d170da18de3efa6fd6a50262a2", "title": "Linking Names and Faces : Seeing the Problem in Different Ways", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/b49a/ffdff167f5d170da18de3efa6fd6a50262a2.pdf"]}, {"id": "b46d49cb7aade5ab7be51bd7a0ce3aa6f7c6b9ed", "title": "Recognizing Gender from Human Facial Regions using Genetic Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01661.pdf"]}, {"id": "9a3f3a8e48fb9549b5292e4c4c474f5f1d810d64", "title": "Quasi Cosine Similarity Metric Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9a3f/3a8e48fb9549b5292e4c4c474f5f1d810d64.pdf"]}, {"id": "632fb05acb6f5de2506a7cbb8d47a181314bc23c", "title": "Face detection in color images using fusion of the chrominance and luminance channel decisions", "year": "2010", "pdf": []}, {"id": "3ac09c2589178dac0b6a2ea2edf04b7629672d81", "title": "Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.02412.pdf"]}, {"id": "2e3d081c8f0e10f138314c4d2c11064a981c1327", "title": "A Comprehensive Performance Evaluation of Deformable Face Tracking \u201cIn-the-Wild\u201d", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06015.pdf"]}, {"id": "8cd9475a3a1b2bcccf2034ce8f4fe691c57a4889", "title": "Noisy Face Image Sets Refining Collaborated with Discriminant Feature Space Learning", "year": "2017", "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": "cf254aaecb3b6f0f127a8ed620c11223bd171ccc", "title": "Boosting gender recognition performance with a fuzzy inference system", "year": "2015", "pdf": ["http://www.lifl.fr/~martinej/papers/2015/danisman15boosting.pdf"]}, {"id": "0a2d2b79ba39e2140c93543b8ce873f106c08e3d", "title": "Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.03279.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": "266766818dbc5a4ca1161ae2bc14c9e269ddc490", "title": "Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf"]}, {"id": "1ce29d6b820ed4a24da27b76ffd9605d5b3b10b5", "title": "Unrestricted pose-invariant face recognition by sparse dictionary matrix", "year": "2015", "pdf": []}, {"id": "edbdc2920441bd751f57bea87a9c0fc283874b50", "title": "A connectionist computational method for face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/edbd/c2920441bd751f57bea87a9c0fc283874b50.pdf"]}, {"id": "34546ef7e6148d9a1fb42cfab5f0ce11c92c760a", "title": "Robust domain adaptation image classification via sparse and low rank representation", "year": "2015", "pdf": []}, {"id": 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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": "056d1637fac0510146431a03d81de1cbf1147d65", "title": "UHDB11 Database for 3D-2D Face Recognition", "year": "2013", "pdf": ["http://cbl.uh.edu/pub_files/uhdb11-database-for-3d-2d-face-recognition.pdf", "http://web.mit.edu/gevang/www/papers/TodericiEvangelopoulos_UHDB11_PSIVT13/TodericiEvangelopoulos_UHDB11_PSIVT13.pdf"]}, {"id": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"]}, {"id": "33548dec33abfc66bba40ac3f9651c0605d6b537", "title": "CMML : a New Metric Learning Approach for Cross Modal Matching", "year": "2013", "pdf": 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Metric learning approaches for face identification", "year": "2009", "pdf": ["http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf", "http://lear.inrialpes.fr/pubs/2009/GVS09/supplmat.pdf", "https://hal.inria.fr/inria-00439290/file/verbeek09iccv2.pdf"]}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "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": "66d490c95ac100cedd2a0886a0a5510267e042f7", "title": "With one look: 3D face shape estimation from a single snapshot", "year": "2016", "pdf": []}, {"id": "dd3b83ce1b52203afd05b15c660ec6e19580299e", "title": "Head pose estimation using improved label distribution learning with fewer annotations", "year": "2019", "pdf": []}, {"id": "b0b8757e6b327180824f01514cfb81b1e2823550", "title": "Robust Feature Set Matching for Partial Face Recognition", "year": "2013", "pdf": []}, {"id": "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "title": "Local Regularization for Multiclass Classification Facing Significant Intraclass Variations", "year": "2008", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/localreg.pdf"]}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "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/903c/ae123665d885aa82b7590db0d323630d8d88.pdf"]}, {"id": "c81ee278d27423fd16c1a114dcae486687ee27ff", "title": "Search Based Face Annotation Using Weakly Labeled Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c81e/e278d27423fd16c1a114dcae486687ee27ff.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": "a34d75da87525d1192bda240b7675349ee85c123", "title": "Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04690.pdf"]}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": []}, {"id": 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["http://ibug.doc.ic.ac.uk/media/uploads/documents/mmpp_journal.pdf", "http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/Nikitidis_2014_Maximum_TIP.pdf"]}, {"id": "f4d25431e4022e60c465b3f93abd0dbb08864453", "title": "Learning Structure and Strength of CNN Filters for Small Sample Size Training", "year": "2018", "pdf": []}, {"id": "5028c0decfc8dd623c50b102424b93a8e9f2e390", "title": "REVISITING CLASSIFIER TWO-SAMPLE TESTS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5028/c0decfc8dd623c50b102424b93a8e9f2e390.pdf"]}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"]}, {"id": "2c48683c9663ea82fcbbd5891d892a884f1a32d0", "title": "Explore semantic pixel sets based local patterns with information entropy for face recognition", "year": "2014", "pdf": 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Structure Constraint Coding", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop16/pdffiles/w16-p8.pdf", "http://vipl.ict.ac.cn/homepage/accv14his/pdffiles/w16-p8.pdf"]}, {"id": "2903630d9582172f38108dc171fd239e337654a7", "title": "Deep Face Image Retrieval: a Comparative Study with Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05490.pdf"]}, {"id": "789a781eec0cf28d4294c270bbd72f3a21e41dba", "title": "A New Implementation of Deep Neural Networks for Optical Character Recognition and Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/789a/781eec0cf28d4294c270bbd72f3a21e41dba.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": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.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": "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "title": "An Efficient Face Recognition and Retrieval Using LBP and SIFT", "year": "2013", "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": "a937d8d4a25709d1572192fc85c3f12759067ce8", "title": "CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06155.pdf"]}, {"id": "2e64682caf77309db573ee439d988233f71e88ad", "title": "Establishing Good Benchmarks and Baselines for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/2e64/682caf77309db573ee439d988233f71e88ad.pdf"]}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"]}, {"id": "be21529c47b79b688b420c5e296086698ba11350", "title": "CNN-Based Multimodal Human Recognition in Surveillance Environments", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/be21/529c47b79b688b420c5e296086698ba11350.pdf"]}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": []}, {"id": "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "title": "Positive and negative label propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f1d8/80b7752a5b1c06153a4ff75d31220b0313f7.pdf"]}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "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": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"]}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": []}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"]}, {"id": "108b2581e07c6b7ca235717c749d45a1fa15bb24", "title": "Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose", "year": "2009", "pdf": ["http://www.cs.umd.edu/~carlos/pami09.pdf", "http://www.cs.umd.edu/~djacobs/pubs_files/TPAMI_Proofs.pdf"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.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": "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": "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": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "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": "c5ed62f2b57e03d0a2e0cf13772b216ffad30c19", "title": "Robustness of DR-LDP over PCANet for face analysis", "year": "2017", "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": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"]}, {"id": "dfa53c8a4d66ab6219d6f00219ca7ed3909832fd", "title": "Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02733.pdf"]}, {"id": "ff27963c5bce8f46ca4adc5bee209f35dfd69633", "title": "Automated skin region quality assessment for texture-based biometrics", "year": "2017", "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": "b49425f78907fcc447d181eb713abffc74dd85e4", "title": "Sampling Matters in Deep Embedding Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.07567.pdf"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"]}, {"id": "9ebf00558968a7ca6e130b61e70bbe2e24706da4", "title": "Ongoing face recognition vendor test (FRVT) part 2:: identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/5cfe/f7aedc2651d7754911a7a5cf9ee4edbe876a.pdf"]}, {"id": "585efe3c8efd1a4fa2ed8221c278997521668bc1", "title": "Recognizing Face Images with Disguise Variations", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/c10c/ad9353c366e81518fff06350242b7e16f970.pdf"]}, {"id": "3504907a2e3c81d78e9dfe71c93ac145b1318f9c", "title": "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"]}, {"id": "e908ce44fa94bb7ecf2a8b70cb5ec0b1a00b311a", "title": "Topology preserving graph matching for partial face recognition", "year": "2017", "pdf": []}, {"id": "9ce12c9f1d1661f56908edc8ef3848e91b24d557", "title": "Query Adaptive Late Fusion for Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13103.pdf"]}, {"id": "7804949c133d7308d828a94a7944d47c1f0ffe67", "title": "Detection of Deep Network Generated Images Using Disparities in Color Components", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07276.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": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.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": "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": "3b2697d76f035304bfeb57f6a682224c87645065", "title": "ImageNet Large Scale Visual Recognition Challenge", "year": "2015", "pdf": ["https://arxiv.org/pdf/1409.0575.pdf"]}, {"id": "b40290a694075868e0daef77303f2c4ca1c43269", "title": "Combining Local and Global Information for Hair Shape Modeling", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b402/90a694075868e0daef77303f2c4ca1c43269.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": "55a158f4e7c38fe281d06ae45eb456e05516af50", "title": "Simile Classifiers for Face Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/55a1/58f4e7c38fe281d06ae45eb456e05516af50.pdf"]}, {"id": "6e3a181bf388dd503c83dc324561701b19d37df1", "title": "Finding a low-rank basis in a matrix subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1503.08601.pdf"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"]}, {"id": "9ccf528ef8df99372ce6286ffbb0bf6f9a505cca", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "year": "2018", "pdf": []}, {"id": "e4df98e4b45a598661a47a0a8900065716dafd6d", "title": "Weakly Supervised Object Class Learning Via Discriminative Subspace Models", "year": "2015", "pdf": []}, {"id": "380d5138cadccc9b5b91c707ba0a9220b0f39271", "title": "Deep Imbalanced Learning for Face Recognition and Attribute Prediction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.00194.pdf"]}, {"id": "62d1a31b8acd2141d3a994f2d2ec7a3baf0e6dc4", "title": "Noise-resistant network: a deep-learning method for face recognition under noise", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/62d1/a31b8acd2141d3a994f2d2ec7a3baf0e6dc4.pdf"]}, {"id": "5e6ba16cddd1797853d8898de52c1f1f44a73279", "title": "Face Identification with Second-Order Pooling", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.6818.pdf"]}, {"id": "a2e0966f303f38b58b898d388d1c83e40b605262", "title": "ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering", "year": "2018", "pdf": []}, {"id": "c0230b49a8576aa83805bcdf5efcafb38efd8482", "title": "Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain.", "year": "2018", "pdf": []}, {"id": "6a69e245fc5d615a849518d6f6ef320b46545672", "title": "Online learning in biometrics: A case study in face classifier update", "year": "2009", "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": "d340a135a55ecf7506010e153d5f23155dcfa7e8", "title": "MAVI: An Embedded Device to Assist Mobility of Visually Impaired", "year": "2017", "pdf": ["http://www.cse.iitd.ernet.in/~chetan/papers/mavi-vlsid2017.pdf"]}, {"id": "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "title": "Augmented faces", "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00869.pdf"]}, {"id": "4b4106614c1d553365bad75d7866bff0de6056ed", "title": "Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions", "year": "2015", "pdf": ["http://home.zcu.cz/~pkral/papers/kral_micai15.pdf"]}, {"id": "1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f", "title": "Implementation of Partial Face Recognition using Directional Binary Code", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1a6c/3c37c2e62b21ebc0f3533686dde4d0103b3f.pdf"]}, {"id": "a38808d5295350132d0e0b3031837310511f1e1d", "title": "Separable Dictionary Learning", "year": "2013", "pdf": []}, {"id": "021e008282714eaefc0796303f521c9e4f199d7e", "title": "NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations", "year": "2018", "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": "66886997988358847615375ba7d6e9eb0f1bb27f", "title": "Prototype-Based Discriminative Feature Learning for Kinship Verification", "year": "2015", "pdf": ["http://www.kinfacew.com/papers/PDFL_TCYB15.pdf", "https://pdfs.semanticscholar.org/6688/6997988358847615375ba7d6e9eb0f1bb27f.pdf"]}, {"id": "dbe255d3d2a5d960daaaba71cb0da292e0af36a7", "title": "Evolutionary Cost-Sensitive Extreme Learning Machine", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.04373.pdf"]}, {"id": "bcc5cbbb540ee66dc8b9a3453b506e895d8395de", "title": "Joint Estimation of Pose and Face Landmark", "year": "2014", "pdf": 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"pdf": ["https://pdfs.semanticscholar.org/1916/74c64f89c1b5cba19732869aa48c38698c84.pdf"]}, {"id": "6b8329730b2e13178a577b878631735a1cd58a71", "title": "A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques", "year": "2015", "pdf": []}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"]}, {"id": "0b6f110b702552858454347cadf22ddd1a05f62f", "title": "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05226.pdf"]}, {"id": "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "title": "An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition", "year": "2013", "pdf": ["https://arxiv.org/pdf/1603.07800.pdf"]}, {"id": "48d67280368d7efdc3893d286290a85a00070918", "title": "A comparison of PCA , KPCA and ICA for dimentionality reduction", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/48d6/7280368d7efdc3893d286290a85a00070918.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": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"]}, {"id": "2f13dd8c82f8efb25057de1517746373e05b04c4", "title": "Evaluation of state-of-the-art algorithms for remote face recognition", "year": "2010", "pdf": ["http://www.cfar.umd.edu/~rama/Publications/Ni_ICIP.pdf"]}, {"id": "c1178a5e02338270c18d3a80e40e3d03c165586b", "title": "Grassmann Learning for Recognition and Classification", "year": "2014", "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": "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": "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": "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "title": "Modeling for part-based visual object detection based on local features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c8db/8764f9d8f5d44e739bbcb663fbfc0a40fb3d.pdf"]}, {"id": "39b4b48aeb1deca67390718735511f2fb5d71c5e", "title": "Stereo Matching for Unconstrained Face Recognition Ph.D. Proposal", "year": "2009", "pdf": []}, {"id": "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "title": "Design and analysis of a new illumination invariant human face recognition system", "year": "2012", "pdf": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"]}, {"id": "1d3733e1a4b9d3e5b95fb7cc135a0819cba90c22", "title": "Linear subspace methods in face 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Variants : A Comprehensive Study", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/67c7/03a864aab47eba80b94d1935e6d244e00bcb.pdf"]}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3ede/3ed28329bf48fbd06438a69c4f855bef003f.pdf"]}, {"id": "26727dc7347e3338d22e8cf6092e3a3c7568d763", "title": "Discriminative low-rank metric learning for face recognition", "year": "2015", "pdf": []}, {"id": "24977d59a5de4eb597347bef00f0c097a641a8dd", "title": "Random projection-based partial feature extraction for robust face recognition", "year": "2015", "pdf": ["http://matlabproject.ir/forms/files/836464.pdf", "https://pdfs.semanticscholar.org/2497/7d59a5de4eb597347bef00f0c097a641a8dd.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": "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": "3965d61c4f3b72044f43609c808f8760af8781a2", "title": "Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01121.pdf"]}, {"id": "b5c30099791a909b87c736bfc269b347544a859c", "title": "Recognizing Surgically Altered Face Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b5c3/0099791a909b87c736bfc269b347544a859c.pdf"]}, {"id": "5e5e11e143140cc376db466d5b096a54b900c2ba", "title": "Face Recognition in Uncontrolled Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5e5e/11e143140cc376db466d5b096a54b900c2ba.pdf"]}, {"id": "244d6cd74b690a5989b19f3eb0e8bbdfc48b11e3", "title": "Shared representation learning for heterogenous face recognition", "year": "2015", "pdf": []}, {"id": "e64b683e32525643a9ddb6b6af8b0472ef5b6a37", "title": "Face Recognition and Retrieval in Video", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/e64b/683e32525643a9ddb6b6af8b0472ef5b6a37.pdf"]}, {"id": "21e828071249d25e2edaca0596e27dcd63237346", "title": "Scalable Face Image Retrieval with Identity-Based Quantization and Multireference Reranking", "year": "2010", "pdf": ["http://research.microsoft.com/en-us/um/people/jiansun/papers/cvpr10_facesearch.pdf", "http://research.microsoft.com/pubs/155719/face-pami.pdf", "http://www.jiansun.org/papers/CVPR10_FaceSearch.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"]}, {"id": "7aa062c6c90dba866273f5edd413075b90077b51", "title": "Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7aa0/62c6c90dba866273f5edd413075b90077b51.pdf"]}, {"id": "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "title": "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", "year": "2008", "pdf": []}, {"id": "845f45f8412905137bf4e46a0d434f5856cd3aec", "title": "The Spyware Used in Intimate Partner Violence", "year": "2018", "pdf": ["https://rist.tech.cornell.edu/papers/spyware.pdf", "https://www.cs.cornell.edu/~rahul/papers/IPV_Spyware.pdf", "https://www.cs.cornell.edu/~rahul/ppts/IPV_spyware.pdf"]}, {"id": "198b6beb53e0e61357825d57938719f614685f75", "title": "Vaulted Verification : A Scheme for Revocable Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/198b/6beb53e0e61357825d57938719f614685f75.pdf"]}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": []}, {"id": "e1cc833f301c42579392f21335b70d0216b03ab4", "title": "Robust local features for remote face recognition", "year": "2017", "pdf": ["http://www.ee.oulu.fi/~jiechen/paper/IVC2017-Robust%20Local%20Features%20for%20Remote%20Face%20Recognition.pdf"]}, {"id": "b6259115b819424de53bb92f64cc459dcb649f31", "title": "Learning Feature Representation for Face Verification", "year": "2017", "pdf": []}, {"id": "8166edc1352eeef54f6d861b93673c36d67927e8", "title": "Recognizing People in Motion", "year": "2016", "pdf": ["http://egozi.tau.ac.il/gylab/wp-content/uploads/2016/05/1-s2.0-S1364661316000462-main-3.pdf"]}, {"id": "9b2c813a94cee031325b3e76e20db7072063549f", "title": "A scalable and flexible framework for smart video surveillance", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/11/paper_2016_CVIU.pdf"]}, {"id": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"]}, {"id": "5f5164cf998a10d2bef37741adb562ab07fac413", "title": "A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/wuHWWTtpami16.pdf"]}, {"id": "d3b38fbaee4404e31186d9db98ecac74f48a433a", "title": "Batch image alignment via subspace recovery based on alternative sparsity pursuit", "year": "2017", "pdf": []}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": []}, {"id": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"]}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"]}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "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": "b166ce267ddb705e6ed855c6b679ec699d62e9cb", "title": "Sample group and misplaced atom dictionary learning for face recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b166/ce267ddb705e6ed855c6b679ec699d62e9cb.pdf"]}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"]}, {"id": "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "title": "2.1. Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"]}, {"id": "97a0aba4e9a95db17c3d4367f59aad1f02e04b55", "title": "How far did we get in face spoofing detection?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.09868.pdf"]}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"]}, {"id": "7ae0264e62ccf358cd3e87f83e5a0f49b511429c", "title": "Face Recognition Performance in Facing Pose Variation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7ae0/264e62ccf358cd3e87f83e5a0f49b511429c.pdf"]}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"]}, {"id": "e0eb1d66f244456063409264ed795d9893565011", "title": "Inhibited Softmax for Uncertainty Estimation in Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01861.pdf"]}, {"id": "9b000ccc04a2605f6aab867097ebf7001a52b459", "title": "PCANet: An energy perspective", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.00944.pdf"]}, {"id": "155205b8e288fd49bf203135871d66de879c8c04", "title": "Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02640.pdf"]}, {"id": "cd66a1d08db3d56c91156797659b96dce8aa015f", "title": "Adaptive Locality Preserving Regression", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.00563.pdf"]}, {"id": "1e8711d2fc4b05eac0699c82f4698154c2b057d3", "title": "The unreasonable effectiveness of small neural ensembles in high-dimensional brain", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07656.pdf"]}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"]}, {"id": "5cfc5da57acdca92946fc323096608ce0646f00f", "title": "Correction of AI systems by linear discriminants: Probabilistic foundations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05321.pdf"]}, {"id": "fb228b214e28af26f77cc1195d03c9d851b78ec6", "title": "Facial asymmetry versus facial makeup", "year": "2018", "pdf": []}, {"id": "532200db4f95055a47e16c2e2095edf063f42d6f", "title": "Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07339.pdf"]}, {"id": "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "title": "Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11674.pdf"]}, {"id": "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "title": "DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a089/812eefb777ac6d17cf886a0bf2b1f89ba505.pdf"]}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": []}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": []}, {"id": "e49372992c31412f55579397e615610748b6e6c9", "title": "Online Robust Image Alignment via Subspace Learning from Gradient Orientations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Online_Robust_Image_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Zheng_Online_Robust_Image_ICCV_2017_supplemental.pdf"]}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"]}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": []}, {"id": "b5d14fee9658877abbbfa760dd9765db0af86ba6", "title": "Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5d1/4fee9658877abbbfa760dd9765db0af86ba6.pdf"]}, {"id": "68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8", "title": "Low-rank constrained 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["https://pdfs.semanticscholar.org/1d53/aebe67d0e088e2da587fd6b08c8e8ed7f45c.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "ddf099f0e0631da4a6396a17829160301796151c", "title": "Chen et al . Face Quality Value : Input : Feat -\u2010 5 Features : L 2 R + PKM Model : Feat -\u2010", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ddf0/99f0e0631da4a6396a17829160301796151c.pdf"], "doi": []}, {"id": "be4faea0971ef74096ec9800750648b7601dda65", "title": "Feature Analysis of Unsupervised Learning for Multi-task Classification Using Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-017-9724-1", "https://doi.org/10.1007/s11063-017-9724-1"]}, {"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"], "doi": []}, {"id": "14e949f5754f9e5160e8bfa3f1364dd92c2bb8d6", "title": "Multi-subregion based correlation filter bank for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1603.07604.pdf"], 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"https://www.wikidata.org/entity/Q57949181"]}, {"id": "06aab105d55c88bd2baa058dc51fa54580746424", "title": "Image Set-Based Collaborative Representation for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1308.6687.pdf"], "doi": []}, {"id": "0fa077478abea097a1b74915ccaaeb4952eaaec7", "title": "Object Classification With Joint Projection and Low-Rank Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.01594.pdf"], "doi": []}, {"id": "e692870efb009da4b9316678b354ae935fdf48eb", "title": "An Efficient and Robust Gender Classification System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546094"]}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based features at kernel level for face recognition \u2606", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.10.021"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853646", "http://doi.org/10.1109/ICASSP.2014.6853646"]}, {"id": "5209758096819efee15751c8875121bd27f2ee78", "title": "Finding Person Relations in Image Data of the Internet Archive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.08246.pdf"], "doi": []}, {"id": "cfbb2d32586b58f5681e459afd236380acd86e28", "title": "Improving alignment of faces for recognition", "year": "2011", "pdf": ["http://www.professeurs.polymtl.ca/christopher.pal/2011/ROSE.v2.5.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6058545", "http://doi.org/10.1109/ROSE.2011.6058545"]}, {"id": "2916dbb29b6b9b13f6d4f7517c239de9bd81b4f4", "title": "Online Heterogeneous Transfer Metric Learning", "year": "2018", "pdf": ["https://www.ijcai.org/proceedings/2018/0350.pdf"], 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Expected Accuracies for Large Multi-Class Problems", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.09713.pdf"], "doi": []}, {"id": "ae1c92ae7e836eb3d964b998ac5f8699e5c90cfc", "title": "Large Scale Visual Recognition", "year": "2012", "pdf": [], "doi": []}, {"id": "d92084e376a795d3943df577d3b3f3b7d12eeae5", "title": "Face and Image Representation in Deep CNN Features", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961806", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.85", "http://doi.org/10.1109/FG.2017.85"]}, {"id": "0b8c92463f8f5087696681fb62dad003c308ebe2", "title": "On matching sketches with digital face images", "year": "2010", "pdf": ["https://www.iiitd.edu.in/~richa/papers/BTAS10-Sketch.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634507", "http://doi.org/10.1109/BTAS.2010.5634507"]}, {"id": "de878384f00b6ce1caa66ac01735fb4b63ad0279", "title": "Fuzzy match index for scale-invariant feature 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6008646", "http://doi.org/10.1109/TIP.2011.2166974", "https://www.ncbi.nlm.nih.gov/pubmed/21896385", "https://www.wikidata.org/entity/Q48113135"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.032"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "13141284f1a7e1fe255f5c2b22c09e32f0a4d465", "title": "Object Tracking by Oversampling Local Features", "year": "2014", "pdf": ["http://www.micc.unifi.it/pernici/index_files/ALIEN_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6684527", "http://doi.org/10.1109/TPAMI.2013.250", "https://www.ncbi.nlm.nih.gov/pubmed/26353156", "https://www.wikidata.org/entity/Q48652939"]}, {"id": "f19ab817dd1ef64ee94e94689b0daae0f686e849", "title": "Blickrichtungsunabh\u00e4ngige Erkennung von Personen in Bild- und Tiefendaten", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/f19a/b817dd1ef64ee94e94689b0daae0f686e849.pdf"], "doi": []}, {"id": "60e2b9b2e0db3089237d0208f57b22a3aac932c1", "title": "Frankenstein: Learning Deep Face Representations Using Small Data", "year": "2017", "pdf": ["https://arxiv.org/pdf/1603.06470.pdf"], "doi": []}, {"id": "b0c1615ebcad516b5a26d45be58068673e2ff217", "title": "How Image Degradations Affect Deep CNN-Based Face Recognition?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.05246.pdf"], "doi": []}, {"id": "ada73060c0813d957576be471756fa7190d1e72d", "title": "VRPBench: A Vehicle Routing Benchmark Tool.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.05402.pdf"], "doi": []}, {"id": "e6178de1ef15a6a973aad2791ce5fbabc2cb8ae5", "title": "Improving Facial Landmark Detection via a Super-Resolution Inception Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e617/8de1ef15a6a973aad2791ce5fbabc2cb8ae5.pdf"], "doi": []}, {"id": "cfa205874bd192ab949132631a7eda995ecc57af", "title": "Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07457.pdf"], "doi": []}, {"id": "45dffa3cd37371c5eed78b6f170c7ab3b5cc491f", "title": "Face Recognition Using a Unified 3D Morphable Model", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0431/7e63c08e7888cef480fe79f12d3c255c5b00.pdf"], "doi": []}, {"id": "0341405252c80ff029a0d0065ca46d0ade943b03", "title": "A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961749", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.40", "http://doi.org/10.1109/FG.2017.40"]}, {"id": "fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139", "title": "Bayesian face recognition using 2D Gaussian-Hermite moments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/fe0c/51fd41cb2d5afa1bc1900bbbadb38a0de139.pdf"], "doi": []}, {"id": "8c9b29d6df5601d0bc9f6164d99a26a1cb1e256d", "title": "Two-Dimensional Joint Bayesian Method for Face Verification", "year": "2016", "pdf": 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"1617f56c86bf8ea61de62062a97961d23fcf03d3", "title": "Facial Similarity Learning with Humans in the Loop", "year": "2015", "pdf": ["https://page-one.springer.com/pdf/preview/10.1007/s11390-015-1540-3"], "doi": ["http://doi.org/10.1007/s11390-015-1540-3"]}, {"id": "26bf242c40b86e70f2a5f9db5a34f0ac6345f14c", "title": "Adversarial Metric Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.03170.pdf"], "doi": []}, {"id": "0e36bf238d2db6c970ade0b5f68811ed6debc4e8", "title": "Recognizing Partial Biometric Patterns", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.07399.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face 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[], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344056"]}, {"id": "1174b869c325222c3446d616975842e8d2989cf2", "title": "CosFace: Large Margin Cosine Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.09414.pdf"], "doi": []}, {"id": "367f5243e3a7cd3dede3a9b2c540906d18161636", "title": "Weakly supervised learning from multiple modalities: exploiting video, audio and text for video understanding", "year": "2009", "pdf": [], "doi": []}, {"id": "a0b87e556ea7f4e1f5daafdd334c23549d593f48", "title": "Robot semantic place recognition based on deep belief networks and a direct use of tiny images. (Robot de reconnaissance des lieux s\u00e9mantiques bas\u00e9e sur l'architecture profonde et une utilisation directe de mini-images)", "year": "2012", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-00960289", "https://tel.archives-ouvertes.fr/tel-00960289/document"]}, {"id": "10384cbe0ed2c44c4d0059745d8bf1509be75941", "title": "iQIYI-VID: A Large Dataset for Multi-modal Person Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07548.pdf"], "doi": []}, {"id": "310dcf9edb491b63d09a9eb55a99ad6bb46da1d4", "title": "A learning-based human facial image quality evaluation method in video-based face recognition systems", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8322816"]}, {"id": "731d33256d42dc4146019954c46c566aa666d7f2", "title": "Partially Shared Multi-task Convolutional Neural Network with Local Constraint for Face Attribute Learning", "year": "2018", "pdf": 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deterministic face authentication", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6993177"]}, {"id": "917423ac7e47cc6131084f645444aaf98cb98395", "title": "A high-throughput screening approach to discovering good forms of inspired visual representation", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9174/23ac7e47cc6131084f645444aaf98cb98395.pdf"], "doi": []}, {"id": "2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd", "title": "Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2f17/f6c460e02bd105dcbf14c9b73f34c5fb59bd.pdf"], "doi": []}, {"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"], "doi": []}, {"id": 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Metric learning approaches for face identification", "year": "2009", "pdf": ["http://lear.inrialpes.fr/pubs/2009/GVS09/GVS09.pdf", "http://lear.inrialpes.fr/pubs/2009/GVS09/supplmat.pdf", "https://hal.inria.fr/inria-00439290/file/verbeek09iccv2.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459197", "http://doi.org/10.1109/ICCV.2009.5459197"]}, {"id": "6f6ce988a13ac08071a0e3349f80b7c8adc7a49d", "title": "A detailed survey on 2D and 3D still face and face video databases part II", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6950080"]}, {"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"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "66d490c95ac100cedd2a0886a0a5510267e042f7", "title": "With one look: 3D face shape estimation from a single snapshot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552934", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552934", "http://doi.org/10.1109/ICME.2016.7552934"]}, {"id": "dd3b83ce1b52203afd05b15c660ec6e19580299e", "title": "Head pose estimation using improved label distribution learning with fewer annotations", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-019-7284-2"]}, {"id": "b0b8757e6b327180824f01514cfb81b1e2823550", "title": "Robust Feature Set Matching for Partial Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751184"]}, {"id": "0dfd713c72d1f64c74c25c68bbb2616c701a878a", "title": "Local Regularization for Multiclass Classification Facing Significant Intraclass Variations", "year": "2008", "pdf": ["http://www.cs.tau.ac.il/~wolf/papers/localreg.pdf"], "doi": ["https://doi.org/10.1007/978-3-540-88693-8_55"]}, {"id": "903cae123665d885aa82b7590db0d323630d8d88", "title": "Distance metric learning for image and webpage comparison. 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"89272b78b651038ff4d294b9ccca0018d2c9033b", "title": "Low Computation Face Verification Using Class Center Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977490", "http://doi.org/10.1109/ICPR.2014.777"]}, {"id": "86915632efd021e1dca42f16df36944d08de2fbe", "title": "Face Recognition with Image Misalignment via Structure Constraint Coding", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/workshop16/pdffiles/w16-p8.pdf", "http://vipl.ict.ac.cn/homepage/accv14his/pdffiles/w16-p8.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16634-6_41"]}, {"id": "2903630d9582172f38108dc171fd239e337654a7", "title": "Deep Face Image Retrieval: a Comparative Study with Dictionary Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05490.pdf"], "doi": []}, {"id": "789a781eec0cf28d4294c270bbd72f3a21e41dba", "title": "A New Implementation of Deep Neural Networks for Optical Character Recognition and Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/789a/781eec0cf28d4294c270bbd72f3a21e41dba.pdf"], "doi": []}, {"id": "0f65c91d0ed218eaa7137a0f6ad2f2d731cf8dab", "title": "Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1401.5311.pdf"], "doi": []}, {"id": "1bc214c39536c940b12c3a2a6b78cafcbfddb59a", "title": "Leveraging Gabor Phase for Face Identification in Controlled Scenarios", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5cec/4dda1ba90aa61d54e4c5b61961915ffaf08c.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.imavis.2015.06.010", "https://www.wikidata.org/entity/Q58218947"]}, {"id": "0709bf7179cf2478d0aa5c05633dc86ff3645e31", "title": "An Efficient Face Recognition and Retrieval Using LBP and SIFT", "year": "2013", "pdf": [], "doi": []}, {"id": "7323b594d3a8508f809e276aa2d224c4e7ec5a80", "title": "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.05508.pdf"], "doi": []}, {"id": "a937d8d4a25709d1572192fc85c3f12759067ce8", "title": "CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.06155.pdf"], "doi": []}, {"id": "2e64682caf77309db573ee439d988233f71e88ad", "title": "Establishing Good Benchmarks and Baselines for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/2e64/682caf77309db573ee439d988233f71e88ad.pdf"], "doi": []}, {"id": "dbced84d839165d9b494982449aa2eb9109b8467", "title": "Extreme 3D Face Reconstruction: Looking Past Occlusions", "year": "2017", "pdf": [], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "1c46a33da36d47356cd9189a41c55ac9f5d34847", "title": "An Study on Ear Detection and Its Applications to Face Detection", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1c46/a33da36d47356cd9189a41c55ac9f5d34847.pdf"], "doi": []}, {"id": "be21529c47b79b688b420c5e296086698ba11350", "title": "CNN-Based Multimodal Human Recognition in Surveillance Environments", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/be21/529c47b79b688b420c5e296086698ba11350.pdf"], "doi": []}, {"id": "524c25217a6f1ed17f47871e947a5581d775fa56", "title": "Fusing global and local features for face verification", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1117/12.2030875"]}, {"id": "f1d880b7752a5b1c06153a4ff75d31220b0313f7", "title": "Positive and negative label propagation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f1d8/80b7752a5b1c06153a4ff75d31220b0313f7.pdf"], "doi": []}, {"id": "768f6a14a7903099729872e0db231ea814eb05e9", "title": "De-Mark GAN: Removing Dense Watermark with Generative Adversarial Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411205", "http://doi.org/10.1109/ICB2018.2018.00021"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418022", "http://doi.org/10.1109/TIFS.2013.2242063"]}, {"id": "8e33183a0ed7141aa4fa9d87ef3be334727c76c0", "title": "Robustness of Face Recognition to Image Manipulations", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8e33/183a0ed7141aa4fa9d87ef3be334727c76c0.pdf"], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "6eba25166fe461dc388805cc2452d49f5d1cdadd", "title": "ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV 1 Learning Grimaces by Watching TV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6eba/25166fe461dc388805cc2452d49f5d1cdadd.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "108b2581e07c6b7ca235717c749d45a1fa15bb24", "title": "Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose", "year": "2009", "pdf": ["http://www.cs.umd.edu/~carlos/pami09.pdf", "http://www.cs.umd.edu/~djacobs/pubs_files/TPAMI_Proofs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5010439", "http://doi.org/10.1109/TPAMI.2009.123", "https://www.ncbi.nlm.nih.gov/pubmed/19834149", "https://www.wikidata.org/entity/Q44088711"]}, {"id": "de390a143720e697bc71c3727633b155bf25a2c1", "title": "High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/de39/0a143720e697bc71c3727633b155bf25a2c1.pdf"], "doi": []}, {"id": "0c069a870367b54dd06d0da63b1e3a900a257298", "title": "Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs", "year": "2011", "pdf": ["https://arxiv.org/pdf/1107.3823.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139095", "http://doi.org/10.1109/ICB.2015.7139095"]}, {"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"], "doi": []}, {"id": "256ef291cd320d39163d3b438010256a3c40c40c", "title": "Multi-feature multi-manifold learning for single-sample face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.06.012"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "c5ed62f2b57e03d0a2e0cf13772b216ffad30c19", "title": "Robustness of DR-LDP over PCANet for face analysis", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s13735-017-0144-9"]}, {"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"], "doi": []}, {"id": "59a35b63cf845ebf0ba31c290423e24eb822d245", "title": "The FaceSketchID System: Matching Facial Composites to Mugshots", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TIFS2014.pdf", "http://biometrics.cse.msu.edu/Publications/Face/Klumetal_FaceSketchID_TechReport_MSU-CSE-14-6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912947", 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656208", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.57", "http://doi.org/10.1109/SIBGRAPI.2013.57"]}, {"id": "d340a135a55ecf7506010e153d5f23155dcfa7e8", "title": "MAVI: An Embedded Device to Assist Mobility of Visually Impaired", "year": "2017", "pdf": ["http://www.cse.iitd.ernet.in/~chetan/papers/mavi-vlsid2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7884781", "http://doi.ieeecomputersociety.org/10.1109/VLSID.2017.38", "http://doi.org/10.1109/VLSID.2017.38"]}, {"id": "9d839dfc9b6a274e7c193039dfa7166d3c07040b", "title": "Augmented faces", "year": "2011", "pdf": ["http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_00869.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130218", "http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LZJ_120522184630.PDF", "http://doi.org/10.1109/ICCVW.2011.6130218"]}, {"id": "4b4106614c1d553365bad75d7866bff0de6056ed", 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"http://doi.ieeecomputersociety.org/10.1109/FiCloud.2015.78", "http://doi.org/10.1109/FiCloud.2015.78"]}, {"id": "faead8f2eb54c7bc33bc7d0569adc7a4c2ec4c3b", "title": "Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.10152.pdf"], "doi": []}, {"id": "0b6f110b702552858454347cadf22ddd1a05f62f", "title": "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05226.pdf"], "doi": []}, {"id": "e3a3a6c1f4802ea1cd0c34d0b34e4c83689895ac", "title": "An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition", "year": "2013", "pdf": ["https://arxiv.org/pdf/1603.07800.pdf"], "doi": []}, {"id": "48d67280368d7efdc3893d286290a85a00070918", "title": "A comparison of PCA , KPCA and ICA for dimentionality reduction", "year": "2012", "pdf": 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634517", "http://doi.org/10.1109/BTAS.2010.5634517"]}, {"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"], "doi": []}, {"id": "c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d", "title": "Modeling for part-based visual object detection based on local features", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c8db/8764f9d8f5d44e739bbcb663fbfc0a40fb3d.pdf"], "doi": []}, {"id": "39b4b48aeb1deca67390718735511f2fb5d71c5e", "title": "Stereo Matching for Unconstrained Face Recognition Ph.D. Proposal", "year": "2009", "pdf": [], "doi": []}, {"id": "cc4dead2a6dde99c477bd52000bfcfe9589e7425", "title": "Design and analysis of a new illumination invariant human face recognition system", "year": "2012", "pdf": [], "doi": []}, {"id": "6bb95a0f3668cd36407c85899b71c9fe44bf9573", "title": "Face attribute prediction using off-the-shelf CNN features", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.03935.pdf"], "doi": []}, {"id": 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recognition in the wild", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7844934", "http://doi.org/10.1109/SMC.2016.7844934"]}, {"id": "988d1295ec32ce41d06e7cf928f14a3ee079a11e", "title": "Semantic Deep Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/988d/1295ec32ce41d06e7cf928f14a3ee079a11e.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "57b8e6db0002660f03c4d93174a05a6d525fa755", "title": "Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575381"]}, {"id": "1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d", "title": "The Freiburg Groceries Dataset", "year": "2016", "pdf": 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Fusion for Template-Based Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04471.pdf"], "doi": []}, {"id": "7a2f315c4ac99091724aa7d3f22f0128a35228dc", "title": "Speeding up and augmenting mobile device applications using actors and cloud computing", "year": "2014", "pdf": [], "doi": []}, {"id": "3cb2841302af1fb9656f144abc79d4f3d0b27380", "title": "When 3 D-Aided 2 D Face Recognition Meets Deep Learning : An extended UR 2 D for Pose-Invariant Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3cb2/841302af1fb9656f144abc79d4f3d0b27380.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "4af89578ac237278be310f7660a408b03f12d603", "title": "Large-scale geo-facial image analysis", "year": "2015", "pdf": 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{"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977478", "http://doi.org/10.1109/ICPR.2014.765"]}, {"id": "3965d61c4f3b72044f43609c808f8760af8781a2", "title": "Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.01121.pdf"], "doi": []}, {"id": "b5c30099791a909b87c736bfc269b347544a859c", "title": "Recognizing Surgically Altered Face Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b5c3/0099791a909b87c736bfc269b347544a859c.pdf"], "doi": []}, {"id": "5e5e11e143140cc376db466d5b096a54b900c2ba", "title": "Face Recognition in Uncontrolled Environment", "year": "2016", "pdf": 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"https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2011/10/face-pami.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5871641", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.111", "http://doi.org/10.1109/TPAMI.2011.111", "https://www.ncbi.nlm.nih.gov/pubmed/21646678"]}, {"id": "7aa062c6c90dba866273f5edd413075b90077b51", "title": "Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7aa0/62c6c90dba866273f5edd413075b90077b51.pdf"], "doi": []}, {"id": "a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60", "title": "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", "year": "2008", "pdf": [], "doi": []}, {"id": "845f45f8412905137bf4e46a0d434f5856cd3aec", "title": "The Spyware Used in Intimate Partner Violence", "year": "2018", "pdf": ["https://rist.tech.cornell.edu/papers/spyware.pdf", "https://www.cs.cornell.edu/~rahul/papers/IPV_Spyware.pdf", "https://www.cs.cornell.edu/~rahul/ppts/IPV_spyware.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418618", "http://doi.ieeecomputersociety.org/10.1109/SP.2018.00061", "http://doi.org/10.1109/SP.2018.00061"]}, {"id": "198b6beb53e0e61357825d57938719f614685f75", "title": "Vaulted Verification : A Scheme for Revocable Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/198b/6beb53e0e61357825d57938719f614685f75.pdf"], "doi": []}, {"id": "9649a19b49607459cef32f43db4f6e6727080bdb", "title": "Offset Neural Network for Document Orientation Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395207", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.12", "http://doi.org/10.1109/DAS.2018.12"]}, {"id": "e1cc833f301c42579392f21335b70d0216b03ab4", "title": "Robust local 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"9b2c813a94cee031325b3e76e20db7072063549f", "title": "A scalable and flexible framework for smart video surveillance", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/11/paper_2016_CVIU.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.10.014"]}, {"id": "cce261b47bbeec42cf4036e89e2413e25f66ce61", "title": "Gender recognition from facial images : 2 D or 3 D ?", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cce2/61b47bbeec42cf4036e89e2413e25f66ce61.pdf"], "doi": []}, {"id": "5f5164cf998a10d2bef37741adb562ab07fac413", "title": "A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs", "year": "2016", "pdf": ["http://www.ee.cuhk.edu.hk/~xgwang/papers/wuHWWTtpami16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7439821", "http://doi.org/10.1109/TPAMI.2016.2545669", "https://www.ncbi.nlm.nih.gov/pubmed/28113278", "https://www.wikidata.org/entity/Q39005289"]}, {"id": "d3b38fbaee4404e31186d9db98ecac74f48a433a", "title": "Batch image alignment via subspace recovery based on alternative sparsity pursuit", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s41095-017-0080-x"]}, {"id": "841a5de1d71a0b51957d9be9d9bebed33fb5d9fa", "title": "PCANet: A Simple Deep Learning Baseline for Image Classification?", "year": "2015", "pdf": ["https://arxiv.org/pdf/1404.3606.pdf"], "doi": []}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": "Morphing Detection Using a General- Purpose Face Recognition System", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8553375"]}, {"id": "c697590ddd71232174072c9680adbc7a0b30c84c", "title": "Face retrieval using frequency decoded local descriptor", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.06508.pdf"], "doi": []}, {"id": "878301453e3d5cb1a1f7828002ea00f59cbeab06", "title": "Faceness-Net: Face Detection through Deep Facial Part Responses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1701.08393.pdf"], "doi": []}, {"id": "5ce80b41443518a14d800f6b93b4057bbb007432", "title": "Benchmarking Intelligence Processors", "year": "2017", "pdf": [], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.cviu.2015.07.007", "https://doi.org/10.1016/j.cviu.2015.07.007"]}, {"id": "b166ce267ddb705e6ed855c6b679ec699d62e9cb", "title": "Sample group and misplaced atom dictionary learning for face recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b166/ce267ddb705e6ed855c6b679ec699d62e9cb.pdf"], "doi": []}, {"id": "634541661d976c4b82d590ef6d1f3457d2857b19", "title": "Advanced Techniques for Face Recognition under Challenging Environments", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6345/41661d976c4b82d590ef6d1f3457d2857b19.pdf"], "doi": []}, {"id": "656a5d4d84c450792402b3c69eecbdbca4cad4cb", "title": "2.1. Imagenet and Related Datasets", "year": "", "pdf": ["https://pdfs.semanticscholar.org/656a/5d4d84c450792402b3c69eecbdbca4cad4cb.pdf"], "doi": []}, {"id": "97a0aba4e9a95db17c3d4367f59aad1f02e04b55", "title": "How far did we get in face spoofing detection?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.09868.pdf"], "doi": []}, {"id": "97eabf253570f1fda79a0e217a7bbdb5aec871da", "title": "Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10895.pdf"], "doi": []}, {"id": "7ae0264e62ccf358cd3e87f83e5a0f49b511429c", "title": "Face Recognition Performance in Facing Pose Variation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7ae0/264e62ccf358cd3e87f83e5a0f49b511429c.pdf"], "doi": []}, {"id": "5e0f8c355a37a5a89351c02f174e7a5ddcb98683", "title": "Microsoft COCO: Common Objects in Context", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.0312.pdf"], "doi": []}, {"id": "e0eb1d66f244456063409264ed795d9893565011", "title": "Inhibited Softmax for Uncertainty Estimation in Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.01861.pdf"], "doi": []}, {"id": "9b000ccc04a2605f6aab867097ebf7001a52b459", "title": "PCANet: An energy perspective", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.00944.pdf"], "doi": []}, {"id": "155205b8e288fd49bf203135871d66de879c8c04", "title": "Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02640.pdf"], "doi": []}, {"id": "cd66a1d08db3d56c91156797659b96dce8aa015f", "title": "Adaptive Locality Preserving Regression", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.00563.pdf"], "doi": []}, {"id": "1e8711d2fc4b05eac0699c82f4698154c2b057d3", "title": "The unreasonable effectiveness of small neural ensembles in high-dimensional brain", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07656.pdf"], "doi": []}, {"id": "1a2431e3b35a4a4794dc38ef16e9eec2996114a1", "title": "Automated Face Recognition: Challenges and Solutions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a24/31e3b35a4a4794dc38ef16e9eec2996114a1.pdf"], "doi": []}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "5cfc5da57acdca92946fc323096608ce0646f00f", "title": "Correction of AI systems by linear discriminants: Probabilistic foundations", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05321.pdf"], "doi": []}, {"id": "fb228b214e28af26f77cc1195d03c9d851b78ec6", "title": "Facial asymmetry versus facial makeup", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301753"]}, {"id": "532200db4f95055a47e16c2e2095edf063f42d6f", "title": "Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07339.pdf"], "doi": []}, {"id": "8377ac1b2dffb11cf48f456be2531c95d14aa6e5", "title": "Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.11674.pdf"], "doi": []}, {"id": "a089812eefb777ac6d17cf886a0bf2b1f89ba505", "title": "DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a089/812eefb777ac6d17cf886a0bf2b1f89ba505.pdf"], "doi": []}, {"id": "b7ec41005ce4384e76e3be854ecccd564d2f89fb", "title": "Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8441009", "http://doi.org/10.1109/SACI.2018.8441009", "https://doi.org/10.1109/SACI.2018.8441009"]}, {"id": "e99718d08aca2c49cd2848eebdbb7c7855b4e484", "title": "Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.3103/S1060992X17020102"]}, {"id": "e49372992c31412f55579397e615610748b6e6c9", "title": "Online Robust Image Alignment via Subspace Learning from Gradient Orientations", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Zheng_Online_Robust_Image_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Zheng_Online_Robust_Image_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237457", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.195", "http://doi.org/10.1109/ICCV.2017.195"]}, {"id": "de0eb358b890d92e8f67592c6e23f0e3b2ba3f66", "title": "Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1711.01587.pdf"], "doi": []}, {"id": "37922bcfd75d50b7a500fbf61174ed3151fddfce", "title": "Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545308"]}, {"id": "b5d14fee9658877abbbfa760dd9765db0af86ba6", "title": "Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5d1/4fee9658877abbbfa760dd9765db0af86ba6.pdf"], "doi": []}, {"id": "68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8", "title": "Low-rank constrained collaborative representation for robust face recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122266", "http://doi.org/10.1109/MMSP.2017.8122266"]}, {"id": "581e920ddb6ecfc2a313a3aa6fed3d933b917ab0", "title": "Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/581e/920ddb6ecfc2a313a3aa6fed3d933b917ab0.pdf"], "doi": []}, {"id": "85934ee572897ab2da4f294bced88a6531c2fdcc", "title": "A Vision and Speech Enabled, Customizable, Virtual Assistant for Smart Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8431232", "http://doi.org/10.1109/HSI.2018.8431232"]}, {"id": "d2b2b56dd8c1daa61152595caf759a62596a85c9", "title": "Revocable and Non-Invertible Multibiometric Template Protection based on Matrix Transformation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d2b2/b56dd8c1daa61152595caf759a62596a85c9.pdf"], "doi": []}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": 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(Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "5f62cad6d777d1b621af07c4146e615f7ebacc7d", "title": "Analysis of Keystroke Dynamics for the Generation of Synthetic Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8590063"]}, {"id": "884fc5bf16841f8fe234abd7f3056206e5c4cdf2", "title": "Real-time Video Summarization on Commodity Hardware", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09287.pdf"], "doi": []}, {"id": "f16d6152e23b032f59eb794fac2d272daa859a79", "title": "A Face Recognition System Based on Local Binary Patterns and Support Vector Machine for Home Security Service Robot", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830848"]}, {"id": "04bb3fa0824d255b01e9db4946ead9f856cc0b59", "title": "Unconstrained 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"Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face", "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/8/75/pdf"], "doi": ["http://doi.org/10.3390/sym8080075"]}, {"id": "3e4bd583795875c6550026fc02fb111daee763b4", "title": "Convolutional Sketch Inversion", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.03073.pdf"], "doi": []}, {"id": "05db8e3a342f8f239203c24d496e809a65ca7f73", "title": "Learning Diverse Image Colorization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.01958.pdf"], "doi": []}, {"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"], "doi": 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"2017", "pdf": []}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.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": "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": "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "title": "A new facial age estimation method using centrally 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"cce332405ce9cd9dccc45efac26d1d614eaa982d", "title": "A Ranking Approach for Human Ages Estimation Based on Face Images", "year": "2010", "pdf": ["http://www.iis.sinica.edu.tw/papers/song/10774-F.pdf"]}, {"id": "25bcd5aa3bbe56c992547fba683418655b46fc4a", "title": "Pyramid multi-level features for facial demographic estimation", "year": "2017", "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": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"]}, {"id": "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "title": "Analysing Facial Regions for Face Recognition Using Forensic Protocols", "year": "2013", "pdf": ["https://repositorio.uam.es/xmlui/bitstream/handle/10486/663763/analysing_tome_CCIS_2013_ps.pdf?sequence=3"]}, {"id": "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "title": "AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/68a2/ee5c5b76b6feeb3170aaff09b1566ec2cdf5.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": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based 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"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": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "title": "Age Synthesis and Estimation via Faces: A Survey", "year": "2010", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/PAMI10Guo.pdf"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.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": "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "title": "A Review on the Suitability of Machine Learning Approaches to Facial Age Estimation", "year": "2015", "pdf": ["http://mecs-press.org/ijmecs/ijmecs-v7-n12/IJMECS-V7-N12-3.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": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.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": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"]}, {"id": "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "title": "The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0035-2?site=ipsjcva.springeropen.com"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "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": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"]}, {"id": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "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": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"]}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"]}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "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": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": []}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"]}, {"id": "4919663c62174a9bc0cc7f60da8f96974b397ad2", "title": "Human age estimation using enhanced bio-inspired features (EBIF)", "year": "2010", "pdf": ["http://research.microsoft.com/pubs/131914/EBIF_5-2-2010_v_5.pdf", "http://www.researchgate.net/profile/Mohamed_Eldib/publication/215457946_Human_age_estimation_using_enhanced_bio-inspired_features_(EBIF)/links/09e41509cf982dacdf000000.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/EBIF_5-2-2010_v_5.pdf"]}, {"id": "1890470d07a090e7b762091c7b9670b5c2e1c348", "title": "Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection", "year": "2016", "pdf": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "c8b89de8d63d68166b3373e451916bf35e74d2f4", "title": "Hierarchical Facial Age Estimation Using Gaussian Process Regression", "year": "2019", "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"]}, {"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": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"]}, {"id": "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": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": "7553fba5c7f73098524fbb58ca534a65f08e91e7", "title": "A Practical Approach for Determination of Human Gender & Age", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7553/fba5c7f73098524fbb58ca534a65f08e91e7.pdf"]}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": []}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"]}, {"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": "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": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "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/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.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": "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": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "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": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "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": "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": "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": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.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": "a534f41608ee0157ff002a0d5e5d39deb0d34797", "title": "On soft biometrics", "year": "2015", "pdf": 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"https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?isAllowed=y&sequence=1"]}, {"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": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": []}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and 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"http://dro.deakin.edu.au/eserv/DU:30007652/geng-automaticage-2007.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4359348", "http://doi.org/10.1109/TPAMI.2007.70733", "https://www.ncbi.nlm.nih.gov/pubmed/17934231", "https://www.wikidata.org/entity/Q50890131"]}, {"id": "fa24bf887d3b3f6f58f8305dcd076f0ccc30272a", "title": "Interval Insensitive Loss for Ordinal Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/84a6/4425ab3d590d669525229c84d7d1bfcea554.pdf"], "doi": []}, {"id": "b5f9306c3207ac12ac761e7d028c78b3009a219c", "title": "Age estimation based on extended non-negative matrix factorization", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6093779", "http://doi.org/10.1109/MMSP.2011.6093779", "http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2788&context=infopapers"]}, {"id": "9cb5f62995c9b5413164e896294ac695413823d9", "title": "Binary Coding based Label Distribution Learning", "year": 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "title": "HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/69ff/40fd5ce7c3e6db95a2b63d763edd8db3a102.pdf"], "doi": []}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "pdf": [], "doi": []}, {"id": "97f3d35d3567cd3d973c4c435cdd6832461b7c3c", "title": "Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961796", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.75", "http://doi.org/10.1109/FG.2017.75"]}, {"id": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", 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"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"], "doi": ["http://doi.org/10.1016/j.csl.2012.12.005"]}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014815", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.81", "http://doi.org/10.1109/CVPRW.2017.81"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406402", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.53", "http://doi.org/10.1109/ICCVW.2015.53"]}, {"id": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"], "doi": []}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778457", "http://doi.org/10.1109/ACPR.2013.161"]}, {"id": "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "title": "Age Synthesis and Estimation via Faces: A Survey", "year": "2010", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/PAMI10Guo.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5406526", "http://doi.org/10.1109/TPAMI.2010.36", "https://www.ncbi.nlm.nih.gov/pubmed/20847387", "https://www.wikidata.org/entity/Q37789567"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "title": "A Review on the Suitability of Machine Learning Approaches to Facial Age Estimation", "year": "2015", "pdf": ["http://mecs-press.org/ijmecs/ijmecs-v7-n12/IJMECS-V7-N12-3.pdf"], "doi": ["https://doi.org/10.5815/ijmecs.2015.12.03"]}, {"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"], "doi": []}, {"id": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.pdf"], "doi": []}, {"id": "70c2c2d2b7e34ff533a8477eff9763be196cd03a", "title": "Selecting discriminative CLBP patterns for age estimation", "year": "2015", "pdf": ["http://iplab.dmi.unict.it/sites/default/files/_9.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7169755", "http://doi.org/10.1109/ICMEW.2015.7169755", "https://www.wikidata.org/entity/Q57823691"]}, {"id": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": 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["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Escalera_ChaLearn_Looking_at_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406389", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.40", "http://doi.org/10.1109/ICCVW.2015.40"]}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"], "doi": []}, {"id": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5302130"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301793", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301793", "http://doi.org/10.1109/AVSS.2015.7301793"]}, {"id": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"], "doi": []}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"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"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24314504", "http://doi.org/10.1016/j.forsciint.2013.08.020"]}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"], "doi": []}, {"id": "4919663c62174a9bc0cc7f60da8f96974b397ad2", "title": "Human age estimation using enhanced bio-inspired features (EBIF)", "year": "2010", "pdf": ["http://research.microsoft.com/pubs/131914/EBIF_5-2-2010_v_5.pdf", "http://www.researchgate.net/profile/Mohamed_Eldib/publication/215457946_Human_age_estimation_using_enhanced_bio-inspired_features_(EBIF)/links/09e41509cf982dacdf000000.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/EBIF_5-2-2010_v_5.pdf"], "doi": 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in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"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"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "7553fba5c7f73098524fbb58ca534a65f08e91e7", "title": "A Practical Approach for Determination of Human Gender & Age", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7553/fba5c7f73098524fbb58ca534a65f08e91e7.pdf"], "doi": []}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961792", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.141", "http://doi.org/10.1109/FG.2017.141"]}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"], "doi": ["https://doi.org/10.1016/j.patrec.2015.06.006", "https://www.wikidata.org/entity/Q57724169"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6920084", "http://doi.org/10.1109/TPAMI.2014.2362759", "https://www.ncbi.nlm.nih.gov/pubmed/26357339", "https://www.wikidata.org/entity/Q40552843"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "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/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"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"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512016", "http://doi.org/10.1109/TIFS.2013.2261061"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163119", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163119", "http://doi.org/10.1109/FG.2015.7163119"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420684", "http://doi.org/10.1109/TIP.2016.2535284", "https://www.ncbi.nlm.nih.gov/pubmed/26930681"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472186", "http://doi.org/10.1109/ICASSP.2016.7472186"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597532", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.828", "http://doi.org/10.1109/ICPR.2010.828"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"], "doi": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"], "doi": []}, {"id": "a534f41608ee0157ff002a0d5e5d39deb0d34797", "title": "On soft biometrics", 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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"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8c5cf18c456957c63248245791f44a685e832345", "title": "Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193017"]}, {"id": "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "title": "Age group classification based on facial images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/72cd/5d81e4541c80c611a9bcab85bdcf14d5f028.pdf"], "doi": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961848", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118", "http://doi.org/10.1109/FG.2017.118"]}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"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"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26189995", "http://doi.org/10.1111/1556-4029.12800"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e16efd2ae73a325b7571a456618bfa682b51aef8", "title": "Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/93f8/4b8200aeba68af767c4f143233829e8ce6d9.pdf"], "doi": []}, {"id": "f47404424270f6a20ba1ba8c2211adfba032f405", "title": "Identification of Face Age range Group using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f474/04424270f6a20ba1ba8c2211adfba032f405.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "621741b87258c745f8905d15ba81aaf2a8be60d2", "title": "A Study of Geometric Features for Aging Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659191"]}, {"id": "8411fe1142935a86b819f065cd1f879f16e77401", "title": "Facial Recognition using Modified Local Binary Pattern and Random Forest", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8411/fe1142935a86b819f065cd1f879f16e77401.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.ins.2012.09.008"]}, {"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"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553737", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553737", "http://doi.org/10.1109/FG.2013.6553737"]}, {"id": "d3c004125c71942846a9b32ae565c5216c068d1e", "title": "Recognizing Age-Separated Face Images: Humans and Machines", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d3c0/04125c71942846a9b32ae565c5216c068d1e.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2014.06.004"]}, {"id": "2c8743089d9c7df04883405a31b5fbe494f175b4", "title": "Real-time full-body human gender recognition in (RGB)-D data", "year": "2015", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/linderICRA15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139616", "http://doi.org/10.1109/ICRA.2015.7139616"]}, {"id": "63488398f397b55552f484409b86d812dacde99a", "title": "Learning Universal Multiview Age Estimator by Video Contexts", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6348/8398f397b55552f484409b86d812dacde99a.pdf"], "doi": []}, {"id": "b1301c722886b6028d11e4c2084ee96466218be4", "title": "Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02740.pdf"], "doi": []}, {"id": "e5dfd17dbfc9647ccc7323a5d62f65721b318ba9", "title": "Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e5df/d17dbfc9647ccc7323a5d62f65721b318ba9.pdf"], "doi": []}, {"id": "1035536e484a167e3f7d7edca8de9cd5917383ec", "title": "UvA-DARE ( Digital Academic Repository ) Expression-Invariant Age Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0da7/e3fabea12a9242348df62de7754b2be28b44.pdf"], "doi": []}, {"id": "6e12ba518816cbc2d987200c461dc907fd19f533", "title": "A computational approach to body mass index prediction from face images", 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method for the improvement in biometric facial image recognition using document-based classification", "year": "2018", "pdf": []}, {"id": "7195cb08ba2248f3214f5dc5d7881533dd1f46d9", "title": "Age Regression Based on Local Image Features", "year": "2010", "pdf": []}, {"id": "1f3f7df159c338884ddfd38ee2d3ba2e1e3ada69", "title": "Self-enhancement Influences Medial Frontal Cortex Alpha Power to Social Rejection Feedback", "year": "2014", "pdf": []}, {"id": "9cdb311463aca8ab3f2619e390635ea42ca02097", "title": "Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification", "year": "2017", "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": "18ae88aef1a69f1a475bf41b03ad226bb66f40f4", "title": "Hybrid Ageing Patterns for face age 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Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1610.01854.pdf"]}, {"id": "7c8909da44e89a78fe88e815c83a4ced34f99149", "title": "Multi-classifier Q-stack Aging Model for Adult Face Verification", "year": "2010", "pdf": []}, {"id": "88337c4ca3eeb00538b9a1ac54180d02187c68db", "title": "Learning Face Age Progression: A Pyramid Architecture of GANs", "year": "2018", "pdf": []}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "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": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"]}, {"id": "69ff40fd5ce7c3e6db95a2b63d763edd8db3a102", "title": "HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL FEATURES", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/69ff/40fd5ce7c3e6db95a2b63d763edd8db3a102.pdf"]}, {"id": "414d78e32ac41e6ff8b192bc095fe55f865a02f4", "title": "Dual-reference Face Retrieval: What Does He/She Look Like at Age 'X'?", "year": "2017", "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": "76a52ebfc5afd547f8b73430ec81456cf25ddd69", "title": "Gender and age recognition for video analytics solution", "year": "2014", "pdf": []}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.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": "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": "a6e4f924cf9a12625e85c974f0ed136b43c2f3b5", "title": "A new facial age estimation method using centrally overlapped block based local texture features", "year": "2017", "pdf": []}, {"id": "23675cb2180aac466944df0edda4677a77c455cd", "title": "Age Estimation Using AAM and Local Facial Features", "year": "2009", "pdf": []}, {"id": "4e8f301dbedc9063831da1306b294f2bd5b10477", "title": "Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases", "year": "2016", "pdf": []}, {"id": "24205a60cbf1cc12d7e0a9d44ed3c2ea64ed7852", "title": "Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes", "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": "65b3bee001f1d62a35802b9f1ebd17c90e87b022", "title": "An Evaluation of Classification Performance for Facial Analytics on Diverse Datasets", "year": "2013", "pdf": []}, {"id": "cce332405ce9cd9dccc45efac26d1d614eaa982d", "title": "A Ranking Approach for Human Ages Estimation Based on Face Images", "year": "2010", "pdf": ["http://www.iis.sinica.edu.tw/papers/song/10774-F.pdf"]}, {"id": "25bcd5aa3bbe56c992547fba683418655b46fc4a", "title": "Pyramid multi-level features for facial demographic estimation", "year": "2017", "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": "cb004e9706f12d1de83b88c209ac948b137caae0", "title": "Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01186.pdf"]}, {"id": "e9fcd15bcb0f65565138dda292e0c71ef25ea8bb", "title": "Analysing Facial Regions for Face Recognition Using Forensic Protocols", "year": "2013", "pdf": ["https://repositorio.uam.es/xmlui/bitstream/handle/10486/663763/analysing_tome_CCIS_2013_ps.pdf?sequence=3"]}, {"id": "68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5", "title": "AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/68a2/ee5c5b76b6feeb3170aaff09b1566ec2cdf5.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": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based 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"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": "d82b93f848d5442f82154a6011d26df8a9cd00e7", "title": "NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/d82b/93f848d5442f82154a6011d26df8a9cd00e7.pdf"]}, {"id": "070c8ee3876c06f9a65693e536d61097ace40417", "title": "How Do Facial Expressions Contribute to Age Prediction?", "year": "2013", "pdf": []}, {"id": "97d1d561362a8b6beb0fdbee28f3862fb48f1380", "title": "Age Synthesis and Estimation via Faces: A Survey", "year": "2010", "pdf": ["http://pages.cs.wisc.edu/~gdguo/myPapersOnWeb/PAMI10Guo.pdf"]}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.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": "6d684358fa1b7a761cf38b31e6d0601bb69c87aa", "title": "A Review on the Suitability of Machine Learning Approaches to Facial Age Estimation", "year": "2015", "pdf": ["http://mecs-press.org/ijmecs/ijmecs-v7-n12/IJMECS-V7-N12-3.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": "13f03aab62fc29748114a0219426613cf3ba76ae", "title": "MORPH-II: Feature Vector Documentation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/13f0/3aab62fc29748114a0219426613cf3ba76ae.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": "33554ff9d1d3b32f67020598320d3d761d7ec81f", "title": "Label Distribution Learning Forests", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.06086.pdf"]}, {"id": "15e0b9ba3389a7394c6a1d267b6e06f8758ab82b", "title": "The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0035-2?site=ipsjcva.springeropen.com"]}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "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": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"]}, {"id": "931f99bc6865d3d0c80c15d5b1c05338dfe98982", "title": "Identification of Aging Faces Using A-Stack Classification Model", "year": "2009", "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": "0f92e9121e9c0addc35eedbbd25d0a1faf3ab529", "title": "MORPH-II : A Proposed Subsetting Scheme", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f92/e9121e9c0addc35eedbbd25d0a1faf3ab529.pdf"]}, {"id": "7ad7897740e701eae455457ea74ac10f8b307bed", "title": "Random Subspace Two-dimensional LDA for Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.00575.pdf"]}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "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": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": []}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"]}, {"id": "4919663c62174a9bc0cc7f60da8f96974b397ad2", "title": "Human age estimation using enhanced bio-inspired features (EBIF)", "year": "2010", "pdf": ["http://research.microsoft.com/pubs/131914/EBIF_5-2-2010_v_5.pdf", "http://www.researchgate.net/profile/Mohamed_Eldib/publication/215457946_Human_age_estimation_using_enhanced_bio-inspired_features_(EBIF)/links/09e41509cf982dacdf000000.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/EBIF_5-2-2010_v_5.pdf"]}, {"id": "1890470d07a090e7b762091c7b9670b5c2e1c348", "title": "Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection", "year": "2016", "pdf": []}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "c8b89de8d63d68166b3373e451916bf35e74d2f4", "title": "Hierarchical Facial Age Estimation Using Gaussian Process Regression", "year": "2019", "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"]}, {"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": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"]}, {"id": "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": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": []}, {"id": 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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"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/24314504", "http://doi.org/10.1016/j.forsciint.2013.08.020"]}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "4a0b18fab67724313cafc35495af9dc5454fa6af", "title": "Sexually Dimorphic Faciometrics in Humans From Early Adulthood to Late Middle Age: Dynamic, Declining, and Differentiated.", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4a0b/18fab67724313cafc35495af9dc5454fa6af.pdf"], "doi": []}, {"id": "4919663c62174a9bc0cc7f60da8f96974b397ad2", "title": "Human age estimation using enhanced bio-inspired features (EBIF)", "year": "2010", "pdf": ["http://research.microsoft.com/pubs/131914/EBIF_5-2-2010_v_5.pdf", "http://www.researchgate.net/profile/Mohamed_Eldib/publication/215457946_Human_age_estimation_using_enhanced_bio-inspired_features_(EBIF)/links/09e41509cf982dacdf000000.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/EBIF_5-2-2010_v_5.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5651440", "http://doi.org/10.1109/ICIP.2010.5651440"]}, {"id": "1890470d07a090e7b762091c7b9670b5c2e1c348", "title": "Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7801525", "http://doi.ieeecomputersociety.org/10.1109/CRV.2016.20", "http://doi.org/10.1109/CRV.2016.20"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "c8b89de8d63d68166b3373e451916bf35e74d2f4", "title": "Hierarchical Facial Age Estimation Using Gaussian Process Regression", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8601185"]}, {"id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", "title": "Large age-gap face verification by feature injection in deep networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.06149.pdf"], "doi": []}, {"id": "fc04a50379e08ddde501816eb1f9560c36d01a39", "title": "Image Pre-processing Using OpenCV Library on MORPH-II Face Database", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.06934.pdf"], "doi": []}, {"id": "8e8e3f2e66494b9b6782fb9e3f52aeb8e1b0d125", "title": "Detecting and classifying scars, marks, and tattoos found in the wild", "year": "2012", "pdf": ["http://www.wjscheirer.com/papers/wjs_btas2012_smt.pdf", "http://www.wjscheirer.com/projects/unconstrained-face/btas_2012_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374555", "http://doi.org/10.1109/BTAS.2012.6374555"]}, {"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"], "doi": []}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "7553fba5c7f73098524fbb58ca534a65f08e91e7", "title": "A Practical Approach for Determination of Human Gender & Age", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7553/fba5c7f73098524fbb58ca534a65f08e91e7.pdf"], "doi": []}, {"id": "997c7ebf467c579b55859315c5a7f15c1df43432", "title": "A Study of Convolutional Sparse Feature Learning for Human Age Estimate", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961792", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.141", "http://doi.org/10.1109/FG.2017.141"]}, {"id": "e2d4ead809ea9488be7e68caea0e7c2fcfce3fa1", "title": "A deep analysis on age estimation", "year": "2015", "pdf": ["http://www.hertasecurity.com/sites/default/files/publication/files/A-Deep-Analysis-on-Age-Estimation2.pdf", "https://upcommons.upc.edu/bitstream/handle/2117/83918/A%20deep%20analysis%20on%20age%20estimation.pdf?isAllowed=y&sequence=6"], "doi": ["https://doi.org/10.1016/j.patrec.2015.06.006", "https://www.wikidata.org/entity/Q57724169"]}, {"id": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6920084", "http://doi.org/10.1109/TPAMI.2014.2362759", "https://www.ncbi.nlm.nih.gov/pubmed/26357339", "https://www.wikidata.org/entity/Q40552843"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "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/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"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"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.patrec.2015.09.014"]}, {"id": "0d3ff34d8490a9a53de1aac1dea70172cb02e013", "title": "Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977254", "http://doi.org/10.1109/ICPR.2014.542"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6512016", "http://doi.org/10.1109/TIFS.2013.2261061"]}, {"id": "1c5a5d58a92c161e9ba27e2dfe490e7caaee1ff5", "title": "Age estimation via unsupervised neural networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163119", "http://doi.ieeecomputersociety.org/10.1109/FG.2015.7163119", "http://doi.org/10.1109/FG.2015.7163119"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420684", "http://doi.org/10.1109/TIP.2016.2535284", "https://www.ncbi.nlm.nih.gov/pubmed/26930681"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472186", "http://doi.org/10.1109/ICASSP.2016.7472186"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597532", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.828", "http://doi.org/10.1109/ICPR.2010.828"]}, {"id": "6e198f6cc4199e1c4173944e3df6f39a302cf787", "title": "MORPH-II : Inconsistencies and Cleaning Whitepaper", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e19/8f6cc4199e1c4173944e3df6f39a302cf787.pdf"], "doi": []}, {"id": "d9810786fccee5f5affaef59bc58d2282718af9b", "title": "Adaptive Frame Selection for Enhanced Face Recognition in Low-Resolution Videos", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d981/0786fccee5f5affaef59bc58d2282718af9b.pdf"], "doi": []}, {"id": "a534f41608ee0157ff002a0d5e5d39deb0d34797", "title": "On soft biometrics", "year": "2015", "pdf": ["http://vbn.aau.dk/files/219488771/on_softbiometrics_preprint.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2015.08.006", "https://www.wikidata.org/entity/Q57724073"]}, {"id": "0c6a566ebdac4bd14e80cd6bf4631bc7458e1595", "title": "Local descriptors in application to the aging problem in face recognition", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2013.03.010"]}, {"id": "bc6de183cd8b2baeebafeefcf40be88468b04b74", "title": "Age Group Recognition using Human Facial Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e057/e713301e089887295543226b79b534fdd145.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "40033c6a0b534a6023a78ee2a144edd7f10fa696", "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"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26454196", "https://doi.org/10.1016/j.forsciint.2015.09.002"]}, {"id": "3c0bbfe664fb083644301c67c04a7f1331d9515f", "title": "The Role of Color and Contrast in Facial Age Estimation Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3c0b/bfe664fb083644301c67c04a7f1331d9515f.pdf"], "doi": []}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7080893", "http://doi.org/10.1109/TMM.2015.2420374"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8c5cf18c456957c63248245791f44a685e832345", "title": "Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193017"]}, {"id": "72cd5d81e4541c80c611a9bcab85bdcf14d5f028", "title": "Age group classification based on facial images", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/72cd/5d81e4541c80c611a9bcab85bdcf14d5f028.pdf"], "doi": []}, {"id": "1135a818b756b057104e45d976546970ba84e612", "title": "Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961848", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.118", "http://doi.org/10.1109/FG.2017.118"]}, {"id": "dcb44fc19c1949b1eda9abe998935d567498467d", "title": "Ordinal Zero-Shot Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/dcb4/4fc19c1949b1eda9abe998935d567498467d.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014811", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.77", "http://doi.org/10.1109/CVPRW.2017.77"]}, {"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"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26189995", "http://doi.org/10.1111/1556-4029.12800"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "e16efd2ae73a325b7571a456618bfa682b51aef8", "title": "Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/93f8/4b8200aeba68af767c4f143233829e8ce6d9.pdf"], "doi": []}, {"id": "f47404424270f6a20ba1ba8c2211adfba032f405", "title": "Identification of Face Age range Group using Neural Network", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f474/04424270f6a20ba1ba8c2211adfba032f405.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099915", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.432", "http://doi.org/10.1109/CVPR.2017.432"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to 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["https://pdfs.semanticscholar.org/2c5b/fdf6b4f9c06a42280e99d101e628a1dc597f.pdf"]}, {"id": "f6d35f4884d0834f2a2b29fd6341f3b4afefb119", "title": "Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking", "year": "2018", "pdf": []}, {"id": "b7b5fd3e2cfc39967e389b974c1cb418b2bf1b8f", "title": "Heuristic Search for Structural Constraints in Data Association", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.02823.pdf"]}, {"id": "2b8c1daa238f042612260f0c3f8ff36e27c434db", "title": "Online Tracker Optimization for Multi-Pedestrian Tracking Using a Moving Vehicle Camera", "year": "2018", "pdf": []}, {"id": "22d5719a95be420e0d1817799498e987eaf6676b", "title": "Novelty detection in human tracking based on spatiotemporal oriented energies", "year": "2015", "pdf": []}, {"id": "356ec17af375b63a015d590562381a62f352f7d5", "title": "Occlusion Geodesics for Online Multi-object Tracking", "year": "2014", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr14_draft.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Possegger_Occlusion_Geodesics_for_2014_CVPR_paper.pdf"]}, {"id": "5c24758a6deec8fd726b25aaf1df69fdbc47072d", "title": "Fully Automatic, Real-Time Vehicle Tracking for Surveillance Video", "year": "2017", "pdf": ["https://www.cs.uic.edu/pub/Bits/YanziJin/tracker_CRV17.pdf"]}, {"id": "9a57f0233a616bab84fc35101637765510b1ed83", "title": "How good is my prediction? Finding a similarity measure for trajectory prediction evaluation", "year": "2017", "pdf": []}, {"id": "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "title": "Addressing ambiguity in multi-target tracking by hierarchical strategy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10716.pdf"]}, {"id": "5db25e8c1e45bcdb64b743f81dbdc69f32c70004", "title": "Shadow Detection: A Survey and Comparative Evaluation of Recent Methods", "year": "2012", "pdf": ["https://arxiv.org/pdf/1304.1233.pdf"]}, {"id": "37c4541037b67e8f4c538b285efe80aa251a49b9", "title": "Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection", "year": "2017", "pdf": ["http://crabwq.github.io/pdf/2017%20Tracking%20as%20A%20Whole%20Multi-Target%20Tracking%20by%20Modeling%20Group%20Behavior%20with%20Sequential%20Detection.pdf"]}, {"id": "e0659abe7b377b146bcd8ac5040e620bd7f4ede4", "title": "Generative object detection and tracking in 3D range data", "year": "2012", "pdf": ["http://europa.informatik.uni-freiburg.de/files/kaestner12generative.pdf"]}, {"id": "f0325a190d5d3e265d21e6a11342583e52b338f6", "title": "ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction From Tracking of Walking Humans", "year": "2019", "pdf": []}, {"id": "5da14895692fad7d1f403279faa743a657fa7ac4", "title": "Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking", "year": "2017", "pdf": []}, {"id": "ef61e43a1cce95afdc0696879085e834b981d5de", "title": "Real time multi-object tracking using multiple cameras Semester Project", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ef61/e43a1cce95afdc0696879085e834b981d5de.pdf"]}, {"id": "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "title": "Multi-target tracking on confidence maps: An application to people tracking", "year": "2013", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2013_CVIU_MultiTargetTracking_Poiesi_Mazzon_Cavallaro.pdf"]}, {"id": "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "title": "Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking", "year": "2013", "pdf": ["http://www.cs.tut.fi/~pertila/Pertila-2013-CSL.pdf"]}, {"id": "839a028f5928adca3b59c8bd1397d31a88ec285c", "title": "Automatic multiple zebrafish larvae tracking in unconstrained microscopic video conditions", "year": "2017", "pdf": []}, {"id": "bd4e64b1af4feff3e1e641523d99a642de23dda2", "title": "Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01366.pdf"]}, {"id": "c9168495c99b37ce601bc778419c2667f34cb29b", "title": "Image Matching: An Application-oriented Benchmark", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03917.pdf"]}, {"id": "c81430d4a9171d52920e36cc85bbfdea8457487b", "title": "3D tracking targets via kinematic model weighted particle filter", "year": "2016", "pdf": []}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.06654.pdf"]}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": []}, {"id": "574476d73737fc8cdf2fde04a9750d1c3d83934c", "title": "Tracking All Road Users at Multimodal Urban Traffic Intersections", "year": "2016", "pdf": ["http://n.saunier.free.fr/saunier/stock/jodoin16tracking.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/hcding/201612011010/Tracking%20All%20Road%20Users%20at%20Multimodal.pdf"]}, {"id": "1ea2a53a6cb9c08312276a2f0646935d5fab5ed3", "title": "Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.4481.pdf"]}, {"id": "c4ec7ba2541258913425bacf925927becad83033", "title": "Improvement of Person Tracking Accuracy in Camera Network by Fusing WiFi and Visual Information", "year": "2017", "pdf": []}, {"id": "5b74a57508069c719cff3c5410984be76f6b7785", "title": "Monotonicity and error type differentiability in performance measures for target detection and tracking in video", "year": "2012", "pdf": ["http://research.microsoft.com/pubs/160662/MSR-TR-2012-23.pdf", "http://www.researchgate.net/profile/Ido_Leichter/publication/256084992_Monotonicity_and_error_type_differentiability_in_performance_measures_for_target_detection_and_tracking_in_video/links/54e07f410cf2953c22b4d5f3.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2012-23.pdf"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"]}, {"id": "14261ffecd904d9aff97d98c70e49ec1d870112f", "title": "Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night", "year": "2016", "pdf": []}, {"id": "14f0283c703e450e5f17cbe94878896de865ce30", "title": "Robust Visual Tracking for Multiple Targets with Data Association and Track Management", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/14f0/283c703e450e5f17cbe94878896de865ce30.pdf"]}, {"id": "3e7b5b07da3465103929b4347852d456c0f0ed58", "title": "Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05842.pdf"]}, {"id": "8d9f793bbf6a36285308fdaf2886c9c377f40413", "title": "Optimizing process for tracking people in video-camera network. (Optimisation du suivi de personnes dans un r\u00e9seau de cam\u00e9ras)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8d9f/793bbf6a36285308fdaf2886c9c377f40413.pdf"]}, {"id": "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "title": "Fast RGB-D people tracking for service robots", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbae/3eaf926aede9bec7ce2e28c35c1c50b1b43f.pdf"]}, {"id": "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "title": "Exploring structure for long-term tracking of multiple objects in sports videos", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06454.pdf"]}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": []}, {"id": "f61416e740ab891824c27ebde50cd7c78002001c", "title": "Deceived bilateral filter for improving the automatic cell segmentation and tracking in the NF-kB pathway without nuclear staining", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f614/16e740ab891824c27ebde50cd7c78002001c.pdf"]}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"]}, {"id": "82ff25b6e7749e0210b2f8d5a0666f3499745154", "title": "Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/82ff/25b6e7749e0210b2f8d5a0666f3499745154.pdf"]}, {"id": "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "title": "SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05878.pdf"]}, {"id": "f869693e44828d09bffd1d79f872071aa09ffd57", "title": "Mean-Field methods for Structured Deep-Learning in Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f869/693e44828d09bffd1d79f872071aa09ffd57.pdf"]}, {"id": "65341edca2f74ffad7d0aa56f20558f5305b307e", "title": "Co-design of architectures and algorithms for mobile robot localization and model-based detection of obstacles. (Co-conception d'architectures et d'algorithmes pour la localisation de robots mobiles et la d\u00e9tection d'obstacles bas\u00e9e sur des mod\u00e8les)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae2a/b8c61522e2ea48b2ae4695901e39b1bc93bb.pdf"]}, {"id": "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "title": "Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique", "year": "2014", "pdf": []}, {"id": "32c16cbe2e6dd90de95150051114124177725be3", "title": "Joint Detection and Online Multi-object Tracking", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Kieritz_Joint_Detection_and_CVPR_2018_paper.pdf"]}, {"id": "18babfe4c7230522527a068654eeea10b1a827fd", "title": "Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Kumar_Discriminative_Label_Propagation_2013_ICCV_paper.pdf"]}, {"id": "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "title": "Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/PDL/file/main.pdf"]}, {"id": "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "title": "Target Tracking with Kalman Filtering", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac7f/898ff5789914d423526c392ee61b979fdd8e.pdf"]}, {"id": "8ec7194952ee9e7cf383b1a1b0aeccaed5b7daaa", "title": "Constrained multi-target tracking for team sports activities", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0038-z?site=ipsjcva.springeropen.com"]}, {"id": "57165586f65f25edd9d14f0173c4c35dab8c2e66", "title": "Aligning plot synopses to videos for story-based retrieval", "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/IJMIR_plot-retrieval.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/IJMIR_plot-retrieval.pdf"]}, {"id": "e3cc912b9ca074e3d419c1dd289fd1b067fb61d5", "title": "Identifying multiple objects from their appearance in inaccurate detections", "year": "2015", "pdf": ["http://gavrila.net/cviu15_lda.pdf"]}, {"id": "a110602d15b1c98459071501483366a56cfb59d5", "title": "Online Video Text Detection with Markov Decision Process", "year": "2018", "pdf": []}, {"id": "4b7302e805eb079ccf2b9b6bf99c09479d4190e2", "title": "Multi-sensor identity tracking with event graphs", "year": "2013", "pdf": []}, {"id": "e989286d575431d0c21d4e28a87c4d75ef99cb7a", "title": "Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e989/286d575431d0c21d4e28a87c4d75ef99cb7a.pdf"]}, {"id": "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "title": "REACH - Realtime crowd tracking using a hybrid motion model", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/REACH/ICRA15Bera.pdf"]}, {"id": "f9c580a24bd3f73190ccdd255208478e999d632d", "title": "DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system", "year": "2015", "pdf": []}, {"id": "3e08d000ba3dd382c16e4295435ef8264235ccbc", "title": "Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3e08/d000ba3dd382c16e4295435ef8264235ccbc.pdf"]}, {"id": "fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f", "title": "Multiple Object Tracking by Efficient Graph Partitioning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf"]}, {"id": "b98aec5bbe7116fa3ae5f9b4d77cb1f1141eaabd", "title": "Appearance-Based 3D Upper-Body Pose Estimation and Person Re-identification on Mobile Robots", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Weinrich-SMC-2013.pdf"]}, {"id": "25a5f7179b794ab2bb7283c8337480fccee51944", "title": "Two novel motion-based algorithms for surveillance video analysis on embedded platforms", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/25a5/f7179b794ab2bb7283c8337480fccee51944.pdf"]}, {"id": "a9fcc7552ab942c0b54d05488da2310127fda764", "title": "Boosting Multi-hypothesis Tracking by Means of Instance-Specific Models", "year": "2012", "pdf": ["http://elvera.nue.tu-berlin.de/typo3/files/1368Paetzold2012.pdf"]}, {"id": "b12c9773c6d948d36698666ec351a78c449c0d06", "title": "Figure-Aware Tracking under Occlusion from Monocular Videos", "year": "2014", "pdf": []}, {"id": "9ec2fc7df2db247a55a1af4fcb85710b25402ec1", "title": "Data fusion of radar and stereo vision for detection and tracking of moving objects", "year": "2016", "pdf": []}, {"id": "9fed3f4967bcdaebd1c321fee18fed865020a641", "title": "Objektsensitive Verfolgung und Klassifikation von Fu\u00dfg\u00e4ngern mit verteilten Multi-Sensor-Tr\u00e4gern", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9fed/3f4967bcdaebd1c321fee18fed865020a641.pdf"]}, {"id": "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "title": "Recognizing Human Actions by Using Effective Codebooks and Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3d21/b7b4f48e614bc2f2b87eb110aa329b7d66d8.pdf"]}, {"id": "3d2758e39308a64d2163cb638e684f58f868dbbc", "title": "Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities", "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr13.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr_2013_draft.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c395.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Possegger_Robust_Real-Time_Tracking_2013_CVPR_paper.pdf"]}, {"id": "92a93693f43a49a7b320d5771c6afaff98b27864", "title": "Audio-visual signal processing in a multimodal assisted living environment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/92a9/3693f43a49a7b320d5771c6afaff98b27864.pdf"]}, {"id": "40fc2803d3df9759a3853b040588a7d9be9542d2", "title": "Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through Interacting Multiple Models", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/46741/46741.pdf"]}, {"id": "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "title": "On Detection, Data Association and Segmentation for Multi-target Tracking.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aaae/fba1bd0a9a9ec6c66a822d11fb907a05625c.pdf"]}, {"id": "bab47c7bf80c9310f947cbdaf71b3c983c497b68", "title": "Systematic Parameter Optimization and Application of Automated Tracking in Pedestrian Dominant Situations Date of submission : 2014-0801", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bab4/7c7bf80c9310f947cbdaf71b3c983c497b68.pdf"]}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"]}, {"id": "3da12b99cd8040bb374eed160f8016b3fe492967", "title": "Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context", "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2015/Multi-person%20tracking.pdf"]}, {"id": "1d4f56a9bb093c52569917537a93c7671db28e6f", "title": "Real-time Tracking of Player Identities in Team Sports", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1d4f/56a9bb093c52569917537a93c7671db28e6f.pdf"]}, {"id": "280eea0fa86c811b5422012788853514876854aa", "title": "Multiple Feature Fusion in the Dempster-Shafer Framework for Multi-object Tracking", "year": "2014", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahietAlCRV2014.pdf"]}, {"id": "0fcda01765c5a0b4cff99b5ed5139a6e1eddb689", "title": "Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/200304/files/Heili_TIP_2014.pdf", "http://publications.idiap.ch/downloads/reports/2013/Heili_Idiap-RR-06-2014.pdf", "http://publications.idiap.ch/downloads/reports/2014/Heili_Idiap-RR-05-2014.pdf", "http://www.idiap.ch/~odobez/publications/HeiliLopezOdobez-CRF-Tracking-TIP-2014.pdf", "https://infoscience.epfl.ch/record/198851/files/Heili_Idiap-RR-05-2014.pdf", "https://infoscience.epfl.ch/record/198852/files/Heili_Idiap-RR-06-2014.pdf"]}, {"id": "788a4db5d51b26880ea1d092c121804592b0ef5e", "title": "Track-to-track fusion for multi-target tracking using asynchronous and delayed data", "year": "2017", "pdf": []}, {"id": "128ea529f079431220ea63229c934f36287910f9", "title": "Robust Vehicle Surveillance in Night Traffic Videos Using an Azimuthally Blur Technique", "year": "2015", "pdf": []}, {"id": "baa6be848d52268b71c2486e43940dc64412543c", "title": "Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference", "year": "2017", "pdf": []}, {"id": "4163947e9f6538df8e4171b1e5f378d2728099df", "title": "Microscopic crowd simulation : evaluation and development of algorithms. (Simulation microscopique de foules : \u00e9valuation et d\u00e9veloppement d'algorithmes)", "year": "2016", "pdf": ["https://tel.archives-ouvertes.fr/tel-01420105/file/WOLINSKI_David.pdf"]}, {"id": "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "title": "Simple online and realtime tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00763.pdf"]}, {"id": "4b0893bf71e4e13529cefb286c78b166a9491552", "title": "Estimating orientation in tracking individuals of flying swarms", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001496.pdf"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Claudio_Jung/publication/260042947_Combining_patch_matching_and_detection_for_robust_pedestrian_tracking_in_monocular_calibrated_cameras/links/0deec53345668eb9ff000000.pdf", "https://pdfs.semanticscholar.org/ccde/43d13203bf29ccf351e8c9a79ee4b0b36142.pdf"]}, {"id": "48c494a8f1fdda835417ccc395a42fe210efec2c", "title": "Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db3d/dc4b57a231ce18ba24731e8427ede7cbab1c.pdf"]}, {"id": "baf3b3abb3b449a8c1c7850c3ba0ae813aa6d2ad", "title": "A variational approach to simultaneous multi-object tracking and classification", "year": "2016", "pdf": []}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"]}, {"id": "0816cbac9ea8f4425d9b57fd46174cb35cd5d7cc", "title": "People tracking in RGB-D data with on-line boosted target models", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~arras/papers/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/iros11/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~spinello/luberIROS11.pdf"]}, {"id": "159b87e6e68b18f4daa3505bfc415be9b21a7db6", "title": "Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/159b/87e6e68b18f4daa3505bfc415be9b21a7db6.pdf"]}, {"id": "45ca696076e9c073e6cf699766f808899589bc88", "title": "Aalborg Universitet Thermal Tracking of Sports Players", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be2/ea37f0632fe1df4181f8931b69b8528cdd66.pdf"]}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"]}, {"id": "bfe69413c439327680cba369c155f1d0fffb401d", "title": "A Sampling Algorithm for Occlusion Robust Multi Target Detection", "year": "2009", "pdf": []}, {"id": "3039a08c66d45168ab871303407d7e3047529bf6", "title": "Audio-visual tracking of multiple moving speakers.", "year": "2016", "pdf": []}, {"id": "65237b5e96c7492a0e5d01ddea5b1d381da408cd", "title": "A human-machine collaborative approach to tracking human movement in multi-camera video", "year": "2009", "pdf": []}, {"id": "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "title": "A Unified Video Text Detection Method with Network Flow", "year": "2017", "pdf": []}, {"id": "6475c1e95da0a3bd36786a32d00a893d85460e9e", "title": "Combined image- and world-space tracking in traffic scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.07357.pdf"]}, {"id": "486a0044b9c86c6f648f153f3d3f2e534342b754", "title": "Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Trajectories-LISA-tiv2016.pdf"]}, {"id": "ae872749c88331a93f8078aebf3a8d7f6d9c48fa", "title": "Modeling local behavior for predicting social interactions towards human tracking", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-10.pdf", "http://www2.cs.uh.edu/~xuyan/docs/pr2014.pdf"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": []}, {"id": "1ff89bd94d8a21b7ca4bf844e2d366f854822918", "title": "Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1ff8/9bd94d8a21b7ca4bf844e2d366f854822918.pdf"]}, {"id": "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "title": "A Novel Multi-Detector Fusion Framework for Multi-Object Tracking", "year": "2017", "pdf": []}, {"id": "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "title": "Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences", "year": "2017", "pdf": []}, {"id": "e9c000b765ba5519050a61726e007c430cd5bfcb", "title": "Computer Vision \u2013 ECCV 2016 Workshops", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08434.pdf"]}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"]}, {"id": "f668ada16a00836498445bd29037e4af21f75d7a", "title": "People Tracking on a Mobile Companion Robot", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-SMC-2013b.pdf"]}, {"id": "4938651efabea4c55acb9485bdb0858a82e9013f", "title": "Labeled multi-Bernoulli tracking for industrial mobile platform safety", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.05966.pdf"]}, {"id": "f59ac278349083a50871822ea08172258030265a", "title": "Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials", "year": "2016", "pdf": ["https://cse.sc.edu/~songwang/document/tip16.pdf"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking", "year": "2016", "pdf": ["http://homepages.laas.fr/lerasle/pdf/eccv2016.pdf"]}, {"id": "7a329ed2735f5401d6f978036fb859b10a4fb96a", "title": "Fast Metric Multi-Object Vehicle Tracking for Dynamical Environment Comprehension", "year": "2015", "pdf": []}, {"id": "ce12bbb8ce974df4b64f18e478d7fa99b722de03", "title": "A Hybrid Data Association Framework for Robust Online Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10764.pdf"]}, {"id": "03306aa44c4073c14fd798229ef5c81c6ae50314", "title": "Automated Detection of Handwritten Whiteboard Content in Lecture Videos for Summarization", "year": "2018", "pdf": []}, {"id": "cad7845e9668884caf4842b14983ec0e45bbbc75", "title": "Urban Tracker: Multiple object tracking in urban mixed traffic", "year": "2014", "pdf": ["http://www.jpjodoin.com/urbantracker/download/JodoinetAlWACV2014.pdf"]}, {"id": "5e56c8776b5aa6edce068255134ea31670755b0c", "title": "Robust indoor speaker recognition in a network of audio and video sensors", "year": "2016", "pdf": ["http://www.research.ed.ac.uk/portal/files/28459152/1_s2.0_S0165168416300603_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/10652580/1_s2.0_S0165168416300603_main.pdf"]}, {"id": "e5f39fee9b241b83f27ff9fce0fd027268c6d030", "title": "Multi-object tracking using dominant sets", "year": "2016", "pdf": []}, {"id": "e5a67c425ef3947f2294964692c9c3efc8d0ccab", "title": "Robust online multiple object tracking based on the confidence-based relative motion network and correlation filter", "year": "2016", "pdf": []}, {"id": "795dec6a13b47655145e635a0e7b1ec04021ad7c", "title": "Multi-target Tracking in Crowded Scenes", "year": "2011", "pdf": ["https://www.dirk-farin.net/publications/data/Farin2011a.pdf"]}, {"id": "e48dea5a5c4d74ec12b6817997bbef7975bde526", "title": "Planetary Monocular Simultaneous Localization and Mapping", "year": "2016", "pdf": []}, {"id": "44880df54e6caa3e7263db7a4d5cb77838f4698f", "title": "Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01394.pdf"]}, {"id": "866dd3a16e035a7c724f8ec02d26e45655f7a002", "title": "Human tracking using TLD with Automatic Initiation", "year": "2018", "pdf": []}, {"id": "0b5decf8a99c49a64dfed76d4d31b0b71c293767", "title": "Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04091.pdf"]}, {"id": "f86792e5f5214a7a79b80d90ab1957a9050100ea", "title": "Advances of Scene Text Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05219.pdf"]}, {"id": "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "title": "Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bb4/5b2d3205e4631ccde488f1a8619c9625f481.pdf"]}, {"id": "40d4fab85e2e1557e61d03b92429d64c6efba101", "title": "Detection-based multi-human tracking using a CRF model", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads/papers/2011/Heili_ICCV-VS_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Heili_VS2011_2011.pdf", "http://www.idiap.ch/~odobez/publications/HeiliChenOdobez-ICCV-VS-2011.pdf", "https://infoscience.epfl.ch/record/192447/files/Heili_ICCV-VS_2011.pdf"]}, {"id": "291be6e3027575287c24f4363e4bf7a8b415d4c1", "title": "MSER-Based Real-Time Text Detection and Tracking", "year": "2014", "pdf": ["http://refbase.cvc.uab.es/files/GoK2014.pdf"]}, {"id": "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "title": "GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory", "year": "2014", "pdf": ["http://personal.cityu.edu.hk/~meyfli/Publication/file/ZXL_TII14.pdf"]}, {"id": "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "title": "Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d7f7/eb0fbe3339d13f5a6a23df0fd27fdb357d48.pdf"]}, {"id": "cef092bf9beed65e379ab48ef2b43498d4aaea92", "title": "Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/cef0/92bf9beed65e379ab48ef2b43498d4aaea92.pdf"]}, {"id": "4443ee5eaa56e41acddb62cacbc2f6d8c84ccd59", "title": "Multiple Objects Fusion Tracker Using a Matching Network for Adaptively Represented Instance Pairs", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/4443/ee5eaa56e41acddb62cacbc2f6d8c84ccd59.pdf"]}, {"id": "c9df1be91e16b3fb566e54fb0bc4ae58cce9935e", "title": "Multiple pedestrians tracking algorithm by incorporating histogram of oriented gradient detections", "year": "2013", "pdf": []}, {"id": "300b819bbbe857f5fe89d0895f907073fc288719", "title": "Towards a Robust People Tracking Framework for Service Robots in Crowded , Dynamic Environments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/300b/819bbbe857f5fe89d0895f907073fc288719.pdf"]}, {"id": "2efc4eee3953f6b52e23989bbcc2598a91e18ba0", "title": "External Cameras and a Mobile Robot for Enhanced Multi-person Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2efc/4eee3953f6b52e23989bbcc2598a91e18ba0.pdf"]}, {"id": "9db841848aa96f60e765299de4cce7abe5ccb47d", "title": "Multiple People Tracking by Lifted Multicut and Person Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D1/2017/2491651.pdf"]}, {"id": "8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f", "title": "A Steerable multitouch Display for Surface Computing and its Evaluation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8aa5/f1b2639da73c2579ea9037a4ebf4579fdc4f.pdf"]}, {"id": "094aaeac2712700e340827e2ed2b6d6e4c556ded", "title": "A single performance characteristic for the evaluation of seeker tracking algorithms", "year": "2014", "pdf": ["http://www.scitepress.org/papers/2013/43911/43911.pdf"]}, {"id": "af8cd04bbe4902123d7042985159a6a5da9d9fb9", "title": "Repr\u00e9senter pour suivre : Exploitation de repr\u00e9sentations parcimonieuses pour le suivi multi-objets. (Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"]}, {"id": "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "title": "Scene Aware Detection and Block Assignment Tracking in crowded scenes", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5BIVC%5DScene%20Aware%20Detection%20and%20Block%20Assignment%20Tracking%20in%20crowded%20scenes_FinalPublishCopy.pdf"]}, {"id": "2965d092ed72822432c547830fa557794ae7e27b", "title": "Improving representation and classification of image and video data for surveillance applications", "year": "2012", "pdf": []}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "year": "2017", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf", "http://faculty.ucmerced.edu/mhyang/papers/cviu17_MOT.pdf", "https://users.encs.concordia.ca/~rcmss/include/Papers/CVIU2016.pdf"]}, {"id": "6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae", "title": "Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07920.pdf"]}, {"id": "2a8812f286669c4bc0eca462c6cbd90a4a9fb5a8", "title": "Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/sanin_shadow_removal_icpr_2010.pdf"]}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"]}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"]}, {"id": "29a46aed79df53a1984ee755bed4c8ba2ae94040", "title": "Multiple Object Tracking Using K-Shortest Paths Optimization", "year": "2011", "pdf": ["http://cmp.felk.cvut.cz/~navara/RG/berclaz-et-al-tpami2011.pdf", "http://cvlab.epfl.ch/files/content/sites/cvlab2/files/publications/publications/2011/BerclazFTF11.pdf", "https://infoscience.epfl.ch/record/164041/files/top.pdf"]}, {"id": "b35464a8609a257b0b43b1a0faee0402a054f1be", "title": "Towards the evaluation of reproducible robustness in tracking-by-detection", "year": "2015", "pdf": ["http://imagelab.ing.unimore.it/imagelab/pubblicazioni/avss_2015_calderara.pdf"]}, {"id": "235f4fad10a5d9e043759354a7cb94122a8f10fc", "title": "Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/0575.pdf"]}, {"id": "92980965514210b4f6dd074d122078d54684f724", "title": "Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06415.pdf"]}, {"id": "5014f5dd9d3586dae0572325085647ddc187fa3f", "title": "Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Kuk-Jin_Yoon/publication/262109502_Robust_Online_Multiobject_Tracking_With_Data_Association_and_Track_Management/links/547682310cf2778985b08003.pdf", "https://cvl.gist.ac.kr/wp-content/uploads/2014/04/CVPR_2014_Online_MTT_Confidence_Rd.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Bae_Robust_Online_Multi-Object_2014_CVPR_paper.pdf"]}, {"id": "d7f22666206258c206c4634ad9b22f95e44504f5", "title": "Iterative refinement of multiple targets tracking of solar events", "year": "2014", "pdf": []}, {"id": "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "title": "R\u00e9-identification de personnes : Application aux r\u00e9seaux de cam\u00e9ras \u00e0 champs disjoints", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e0f3/b8cbf90096bb0d4b36324c6fe7db89f580b9.pdf"]}, {"id": "c74a42afeae520ff6ab280d17bccf0d082ba8de5", "title": "The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c74a/42afeae520ff6ab280d17bccf0d082ba8de5.pdf"]}, {"id": "35af45f799c65d21bbb3cd24f666de861bad33b0", "title": "Multi-Target Tracking by Discrete-Continuous Energy Minimization", "year": "2016", "pdf": ["http://www.milanton.de/files/pami2016/pami2016-anton.pdf", "http://www.visinf.tu-darmstadt.de/media/visinf/vi_papers/2015/milan-pami-preprint.pdf", "https://download.visinf.tu-darmstadt.de/papers/2016-pami-milan-multi_target_tracking_dc-preprint.pdf"]}, {"id": "2323cb559c9e18673db836ffc283c27e4a002ed9", "title": "Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association", "year": "2016", "pdf": ["http://arxiv.org/pdf/1605.04502v1.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w12/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"]}, {"id": "9662acb7fa75691ff0e7d1be87763af469419b8b", "title": "Multi Object Tracking Algorithm use in Video Surveillance Systems", "year": "2015", "pdf": []}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": []}, {"id": "29d291e71334392f6a04c53a4194d4ff29a460bf", "title": "Multiple human tracking in RGB-depth data: a survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29d2/91e71334392f6a04c53a4194d4ff29a460bf.pdf"]}, {"id": "eddb1a126eafecad2cead01c6c3bb4b88120d78a", "title": "Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02181.pdf"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"]}, {"id": "fca56ec29f1d567f829be5f8477a81f1ce732f86", "title": "Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking", "year": "2017", "pdf": ["http://epubs.surrey.ac.uk/813052/13/FengWDNC_TMM_2016_postprint.pdf"]}, {"id": "71599901b889e24372012ac405d5cfaef79f94b8", "title": "Better models for people tracking", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~tipaldi/sites/default/files/luberICRA11.pdf"]}, {"id": "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "title": "Active colloids segmentation and tracking", "year": "2016", "pdf": []}, {"id": "1bea531e8271202462c7907f60a8458fa5aec00d", "title": "Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"]}, {"id": "e90816e1a0e14ea1e7039e0b2782260999aef786", "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.03137.pdf"]}, {"id": "d8671247f6188620c6e382ffcd15d3e909647c63", "title": "Multicamera human detection and tracking supporting natural interaction with large-scale displays", "year": "2012", "pdf": ["http://users.ics.forth.gr/~argyros/mypapers/2012_XX_journal_mva_macrografia.pdf", "http://users.ics.forth.gr/~zabulis/macrographia.pdf"]}, {"id": "0c25a4636ebde18e229f7e459f1adaab1e9a2db9", "title": "Multi-class Classification and Clustering based Multi-object Tracking", "year": "", "pdf": ["https://pdfs.semanticscholar.org/0c25/a4636ebde18e229f7e459f1adaab1e9a2db9.pdf"]}, {"id": "0f94f4934d0a26dfd243852036468ecc9bf8d22c", "title": "Low Resolution Lidar-Based Multi-Object Tracking for Driving Applications", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f94/f4934d0a26dfd243852036468ecc9bf8d22c.pdf"]}, {"id": "ab98cb28dc85f85da8b7b3acb090008bab26dd54", "title": "Qualitative Evaluation of Tracking Systems: A Model based approach", "year": "2012", "pdf": []}, {"id": "9361b784e73e9238d5cefbea5ac40d35d1e3103f", "title": "Stable multi-target tracking in real-time surveillance video", "year": "2011", "pdf": []}, {"id": "13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d", "title": "Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.04502.pdf"]}, {"id": "213255dca20f9a62d5121bb3c875d99c57913a25", "title": "Local cellular neighborhood controls proliferation in cell competition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2132/55dca20f9a62d5121bb3c875d99c57913a25.pdf"]}, {"id": "1454b646866052ef61a838737bd74ae191210cf0", "title": "Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies", "year": "2017", "pdf": ["https://arxiv.org/pdf/1701.01909.pdf"]}, {"id": "eb8ee9e0672241ab3acf7ded2d22d97861da65fe", "title": "Towards Quality Aware Collaborative Video Analytic Cloud", "year": "2012", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-37.pdf"]}, {"id": "48705017d91a157949cfaaeb19b826014899a36b", "title": "PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf"]}, {"id": "becb704450c6b2f7f57f03955036a5b66380b816", "title": "A Software Architecture for RGB-D People Tracking Based on ROS Framework for a Mobile Robot", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/becb/704450c6b2f7f57f03955036a5b66380b816.pdf"]}, {"id": "3a28059df29b74775f77fd20a15dc6b5fe857556", "title": "Riccardo Mazzon PhD Thesis 2013", "year": "2013", "pdf": 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"Trade-off Between GPGPU based Implementations of Multi Object Tracking Particle Filter.", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/60923/60923.pdf"]}, {"id": "da523ee3b7e8077713ebb7d903c3dc3bcb78921a", "title": "Multi-person tracking-by-detection based on calibrated multi-camera systems", "year": "2012", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Jiang12:MTB.pdf"]}, {"id": "e66925e6aad8d89b8a140b70e495bcbde72c8011", "title": "DEVELOPMENT OF A VISUAL OBJECT TRACKING SYSTEM USING COMPRESSIVE SENSIG FRAMEWORK FOR MODELLING THE APPEARANCE DESARROLLO DE UN SISTEMA DE SEGUIMIENTO DE OBJETOS USANDO LA TEORI\u0301A DE \u201cCOMPRESSIVE SENSING\u201d PARA MODELAR LA APARIENCIA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e669/25e6aad8d89b8a140b70e495bcbde72c8011.pdf"]}, {"id": "169ae32829821d5e22c4744a42223f78a88de3b9", "title": "Joint Monocular 3D Vehicle Detection and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10742.pdf"]}, 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Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.01124.pdf"]}, {"id": "d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5", "title": "Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks", "year": "2018", "pdf": []}, {"id": "c2f2c89d7615df07b540748d6c53485c4cbfa9c0", "title": "An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c2f2/c89d7615df07b540748d6c53485c4cbfa9c0.pdf"]}, {"id": "60978f66eac568ae65d3acdc6559273fc30bc8c4", "title": "GReTA-A Novel Global and Recursive Tracking Algorithm in Three Dimensions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1305.1495.pdf"]}, {"id": "72a79f351d4ae03ff940ff920898e41ce960f58e", "title": "Author's Personal Copy Backtracking: Retrospective Multi-target Tracking", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/72a7/9f351d4ae03ff940ff920898e41ce960f58e.pdf"]}, {"id": "6527cf0b9dbddbd0c6429a35a3cbded3ca336583", 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["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w21/Wan_An_Online_and_CVPR_2018_paper.pdf"]}, {"id": "e38c0c03f272270aed6a39fbc6275b132dfb498d", "title": "Scene Video Text Tracking With Graph Matching", "year": "2018", "pdf": []}, {"id": "a67a84115304d3e55e00607d0dfbd3b20c8b8672", "title": "Particle filter based Conjoint Individual-Group Tracker (CIGT)", "year": "2015", "pdf": []}, {"id": "c8633d0eff70feb0a378337237d4a03fec582290", "title": "Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/reddy_adaptive_avss_2010.pdf"]}, {"id": "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "title": "Multiple Object Tracking Based on Robust Network Flow Model", "year": "2016", "pdf": []}, {"id": "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "title": "Automatic generation of scene-specific person trackers", "year": "2016", "pdf": []}, {"id": "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "title": "3D Robotic Sensing of People: Human Perception, Representation and Activity Recognition", "year": "2014", "pdf": []}, {"id": "98a8ce914de8846105ee1ee56c0b201d0b0357ac", "title": "End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking", "year": "2017", "pdf": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"]}, {"id": "ce6d4264e63b195563f8b958c129b03cb2c989f5", "title": "MOTS: Multi-Object Tracking and Segmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03604.pdf"]}, {"id": "76a8d37bab548faef5e7ee1653be8985ed0713ad", "title": "No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08755.pdf"]}, {"id": "1e335a6d3cdfe8f53540766b1495c45f72d8fb2f", "title": "Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01726.pdf"]}, {"id": "1be32039596ff52fa09772f4606b65845d1c5853", "title": "Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network", "year": "2015", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/78411.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/pedestriantrackingwithcrowdsim14.pdf"]}, {"id": "1d81293bc17a135cfd35912146c538cd81830381", "title": "Single camera multi-person tracking based on crowd simulation", "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Single%20Camera%20Multi-person%20Tracking12.pdf"]}, {"id": "1e82a8965f08e8d38b16f39412e6e3c456f6f22e", "title": "Social force model aided robust particle PHD filter for multiple human tracking", "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0004398.pdf"]}, {"id": "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "title": "Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.01890.pdf"]}, {"id": "e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5", "title": "Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf"]}, {"id": "fcf0963095ff472132fe46d0cc543aff2735a0bb", "title": "A Framework to Combine Multi-Object Video Segmentation and Tracking", "year": "2017", "pdf": []}, {"id": "95296302a7fc82edf782cece082d7319cfa584b7", "title": "Detection-free Bayesian Multi-object Tracking via Spatio-Temporal Video Bundles Grouping", "year": "2014", "pdf": 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"pdf": ["https://arxiv.org/pdf/1811.00313.pdf"]}, {"id": "5084ca7e4db3168e674414ae55cb6f4e682214e1", "title": "Detect-and-Track: Efficient Pose Estimation in Videos", "year": "2018", "pdf": []}, {"id": "6eeb16c858a53d48b7d669d1feada739c80c8563", "title": "AFL Player Detection and Tracking", "year": "2015", "pdf": []}, {"id": "76c327cce83905bda72944407fce7746ed0cb6fc", "title": "Dynamic task decomposition for decentralized object tracking in complex scenes", "year": "2015", "pdf": []}, {"id": "7766ab86a7bea8809129e4af769b4595578e63fc", "title": "Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7766/ab86a7bea8809129e4af769b4595578e63fc.pdf"]}, {"id": "8877c5afa16b025452e444e0798292fe7ee4dca6", "title": "Occlusion Robust Symbol Level Fusion for Multiple People Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8877/c5afa16b025452e444e0798292fe7ee4dca6.pdf"]}, 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"1a20c1d04b93d91cf2fd0b4e3c7bf1153a93942c", "title": "Re-identification for Improved People Tracking", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1a20/c1d04b93d91cf2fd0b4e3c7bf1153a93942c.pdf"]}, {"id": "ad88fcfd12b62d607259db8d98e2a1a0a9642ca0", "title": "Real-time tracking-with-detection for coping with viewpoint change", "year": "2015", "pdf": ["http://www.eng.tau.ac.il/~oron/TWD/RT_TWD_MVAP_2015.pdf"]}, {"id": "4c39000bbd6761dd9e5609fe310af51facb835a9", "title": "Kinects and human kinetics : A new approach for studying pedestrian behavior", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c39/000bbd6761dd9e5609fe310af51facb835a9.pdf"]}, {"id": "092a4a0f16287c26dcc833958b87b32346546c8b", "title": "Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.02364.pdf"]}, {"id": "1f55079a33023518748d66869e7c539994c61c86", "title": "Object tracking techniques and performance measures \u2014 A conceptual survey", "year": "2017", "pdf": []}, {"id": "344f647463ef160956143ebc8ce370cca144961a", "title": "Confidence-Aware Probability Hypothesis Density Filter for Visual Multi-Object Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/344f/647463ef160956143ebc8ce370cca144961a.pdf"]}, {"id": "bd8ff0bf1c6ae27789cefebe2f55dac25ce6f1c8", "title": "Online multi-person tracking using Integral Channel Features", "year": "2016", "pdf": []}, {"id": "9edd7c738171b0f36b65ae771711c38ed1dc38ad", "title": "Long-Term Multi-Cue Tracking of Hands in Vehicles", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/Rangesh_T_ITS_2016.pdf", "http://cvrr.ucsd.edu/publications/2016/Rangesh_HandTrack.pdf", "https://eshed1.github.io/papers/Rangesh_T_ITS_2016.pdf"]}, {"id": "dcaceb925cc523b33c32f92255094f70150e92d3", "title": "Robust tracking of dynamic objects in LIDAR point clouds", "year": "2014", "pdf": 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"http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Fiaschi_Tracking_Indistinguishable_Translucent_2014_CVPR_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/219478572/fiaschi_14_tracking.pdf"]}, {"id": "9b9f921646571ede31671ccfb6763d96c22642c2", "title": "A taxonomy of situated language in natural contexts", "year": "2011", "pdf": []}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis", "year": "2014", "pdf": ["http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf"]}, {"id": "b3e6e4bed1b5f73aa114d19dcab214661a1d0cd6", "title": "Cooperative passers-by tracking with a mobile robot and external cameras", "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/cviu13.pdf"]}, {"id": "ad8e7c9bf20a0507acb90b17574da631b3d8b7cd", "title": "Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02906.pdf"]}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "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": "d04d53038d4267cf25badc5d6acccd2fc910a8a7", "title": "Online Multi-Object Tracking with Structural Invariance Constraint", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d04d/53038d4267cf25badc5d6acccd2fc910a8a7.pdf"]}, {"id": "76056730a78d286d1d636f7d6239ec510a1a346f", "title": "Tracking via Blocking in Millimeter Wave Communication Networks", "year": "2018", "pdf": []}, {"id": "016860404c0926dda53b9bf4745f3eb9708fa1d2", "title": "Iterative hypothesis testing for multi-object tracking in presence of features with variable reliability", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00313.pdf"]}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": []}, {"id": "0aaf9868487c1d2ca4c73aaa5f3530df6ee431d3", "title": "Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network", "year": "2017", "pdf": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"]}, {"id": "388b03244e7cdf28c750d7f6d4b4eb64219c3e7a", "title": "Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.02937.pdf"]}, {"id": "ed3991046e6dfba0c5cebdbbe914cc3aa06d0235", "title": "Learning Incremental Triplet Margin for Person Re-identification", "year": "2019", "pdf": ["https://arxiv.org/pdf/1812.06576.pdf"]}, {"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8287687", "http://doi.ieeecomputersociety.org/10.1109/CRV.2017.43", "http://doi.org/10.1109/CRV.2017.43"]}, {"id": "9a57f0233a616bab84fc35101637765510b1ed83", "title": "How good is my prediction? Finding a similarity measure for trajectory prediction evaluation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8317825", "http://doi.org/10.1109/ITSC.2017.8317825"]}, {"id": "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "title": "Addressing ambiguity in multi-target tracking by hierarchical strategy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10716.pdf"], "doi": []}, {"id": "5db25e8c1e45bcdb64b743f81dbdc69f32c70004", "title": "Shadow Detection: A Survey and Comparative Evaluation of Recent Methods", "year": "2012", "pdf": ["https://arxiv.org/pdf/1304.1233.pdf"], "doi": []}, {"id": "37c4541037b67e8f4c538b285efe80aa251a49b9", "title": "Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection", "year": "2017", "pdf": ["http://crabwq.github.io/pdf/2017%20Tracking%20as%20A%20Whole%20Multi-Target%20Tracking%20by%20Modeling%20Group%20Behavior%20with%20Sequential%20Detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896601", "http://doi.org/10.1109/TITS.2017.2686871"]}, {"id": "e0659abe7b377b146bcd8ac5040e620bd7f4ede4", "title": "Generative object detection and tracking in 3D range data", "year": "2012", "pdf": ["http://europa.informatik.uni-freiburg.de/files/kaestner12generative.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224585", "http://doi.org/10.1109/ICRA.2012.6224585"]}, {"id": "f0325a190d5d3e265d21e6a11342583e52b338f6", "title": "ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction From Tracking of Walking Humans", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8605504"]}, {"id": "5da14895692fad7d1f403279faa743a657fa7ac4", "title": "Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8233230"]}, {"id": "ef61e43a1cce95afdc0696879085e834b981d5de", "title": "Real time multi-object tracking using multiple cameras Semester Project", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/ef61/e43a1cce95afdc0696879085e834b981d5de.pdf"], "doi": []}, {"id": "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "title": "Multi-target tracking on confidence maps: An application to people tracking", "year": "2013", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2013_CVIU_MultiTargetTracking_Poiesi_Mazzon_Cavallaro.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.08.008"]}, {"id": "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "title": "Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking", "year": "2013", "pdf": ["http://www.cs.tut.fi/~pertila/Pertila-2013-CSL.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.08.003"]}, {"id": "839a028f5928adca3b59c8bd1397d31a88ec285c", "title": "Automatic multiple zebrafish larvae tracking in unconstrained microscopic video conditions", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-17894-x", "https://www.ncbi.nlm.nih.gov/pubmed/29242568"]}, {"id": "bd4e64b1af4feff3e1e641523d99a642de23dda2", "title": "Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01366.pdf"], "doi": []}, {"id": "c9168495c99b37ce601bc778419c2667f34cb29b", "title": "Image Matching: An Application-oriented Benchmark", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03917.pdf"], "doi": []}, {"id": "c81430d4a9171d52920e36cc85bbfdea8457487b", "title": "3D tracking targets via kinematic model weighted particle filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552992", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552992", "http://doi.org/10.1109/ICME.2016.7552992"]}, {"id": "7d3698c0e828d05f147682b0f5bfcd3b681ff205", "title": "Tracklet Association by Online 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"Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.4481.pdf"], "doi": []}, {"id": "c4ec7ba2541258913425bacf925927becad83033", "title": "Improvement of Person Tracking Accuracy in Camera Network by Fusing WiFi and Visual Information", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1660", "http://www.informatica.si/index.php/informatica/article/download/1660/1022"]}, {"id": "5b74a57508069c719cff3c5410984be76f6b7785", "title": "Monotonicity and error type differentiability in performance measures for target detection and tracking in video", "year": "2012", "pdf": ["http://research.microsoft.com/pubs/160662/MSR-TR-2012-23.pdf", "http://www.researchgate.net/profile/Ido_Leichter/publication/256084992_Monotonicity_and_error_type_differentiability_in_performance_measures_for_target_detection_and_tracking_in_video/links/54e07f410cf2953c22b4d5f3.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2012-23.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6494576", "http://doi.org/10.1109/TPAMI.2013.70", "https://www.ncbi.nlm.nih.gov/pubmed/23568961", "https://www.wikidata.org/entity/Q45802783"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.06.003"]}, {"id": "14261ffecd904d9aff97d98c70e49ec1d870112f", "title": "Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535367", "http://doi.org/10.1109/IVS.2016.7535367"]}, {"id": "14f0283c703e450e5f17cbe94878896de865ce30", "title": "Robust Visual Tracking for Multiple Targets with Data Association and Track Management", 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(Optimisation du suivi de personnes dans un r\u00e9seau de cam\u00e9ras)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8d9f/793bbf6a36285308fdaf2886c9c377f40413.pdf"], "doi": []}, {"id": "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "title": "Fast RGB-D people tracking for service robots", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbae/3eaf926aede9bec7ce2e28c35c1c50b1b43f.pdf"], "doi": []}, {"id": "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "title": "Exploring structure for long-term tracking of multiple objects in sports videos", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06454.pdf"], "doi": []}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227423", "http://doi.org/10.1109/DICTA.2017.8227423"]}, {"id": "f61416e740ab891824c27ebde50cd7c78002001c", "title": "Deceived bilateral filter for improving the automatic cell segmentation and tracking in the NF-kB pathway without nuclear staining", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f614/16e740ab891824c27ebde50cd7c78002001c.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "82ff25b6e7749e0210b2f8d5a0666f3499745154", "title": "Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/82ff/25b6e7749e0210b2f8d5a0666f3499745154.pdf"], "doi": []}, {"id": "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "title": "SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05878.pdf"], "doi": []}, {"id": "f869693e44828d09bffd1d79f872071aa09ffd57", "title": "Mean-Field methods for Structured Deep-Learning in Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f869/693e44828d09bffd1d79f872071aa09ffd57.pdf"], "doi": []}, {"id": "65341edca2f74ffad7d0aa56f20558f5305b307e", "title": "Co-design of architectures and algorithms for mobile robot localization and model-based detection of obstacles. (Co-conception d'architectures et d'algorithmes pour la localisation de robots mobiles et la d\u00e9tection d'obstacles bas\u00e9e sur des mod\u00e8les)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae2a/b8c61522e2ea48b2ae4695901e39b1bc93bb.pdf"], "doi": []}, {"id": "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "title": "Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996140"]}, {"id": "32c16cbe2e6dd90de95150051114124177725be3", "title": "Joint Detection and Online Multi-object Tracking", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Kieritz_Joint_Detection_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575355", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00195", "http://doi.org/10.1109/CVPRW.2018.00195"]}, {"id": "18babfe4c7230522527a068654eeea10b1a827fd", "title": "Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Kumar_Discriminative_Label_Propagation_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751359", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.250", "http://doi.org/10.1109/ICCV.2013.250"]}, {"id": "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "title": "Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/PDL/file/main.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7442270", "http://doi.ieeecomputersociety.org/10.1109/ISM.2015.89", "http://doi.org/10.1109/ISM.2015.89"]}, {"id": "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "title": "Target Tracking with Kalman Filtering", "year": "2016", "pdf": 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["http://doi.org/10.1016/j.cviu.2015.03.012"]}, {"id": "a110602d15b1c98459071501483366a56cfb59d5", "title": "Online Video Text Detection with Markov Decision Process", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395179", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.20", "http://doi.org/10.1109/DAS.2018.20"]}, {"id": "4b7302e805eb079ccf2b9b6bf99c09479d4190e2", "title": "Multi-sensor identity tracking with event graphs", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6631252", "http://doi.org/10.1109/ICRA.2013.6631252"]}, {"id": "e989286d575431d0c21d4e28a87c4d75ef99cb7a", "title": "Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle", "year": "2019", "pdf": ["https://pdfs.semanticscholar.org/e989/286d575431d0c21d4e28a87c4d75ef99cb7a.pdf"], "doi": []}, {"id": "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "title": "REACH - Realtime crowd tracking using a 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"http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.18", "http://doi.org/10.1109/AVSS.2012.18"]}, {"id": "b12c9773c6d948d36698666ec351a78c449c0d06", "title": "Figure-Aware Tracking under Occlusion from Monocular Videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281053"]}, {"id": "9ec2fc7df2db247a55a1af4fcb85710b25402ec1", "title": "Data fusion of radar and stereo vision for detection and tracking of moving objects", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813156"]}, {"id": "9fed3f4967bcdaebd1c321fee18fed865020a641", "title": "Objektsensitive Verfolgung und Klassifikation von Fu\u00dfg\u00e4ngern mit verteilten Multi-Sensor-Tr\u00e4gern", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9fed/3f4967bcdaebd1c321fee18fed865020a641.pdf"], "doi": []}, {"id": "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "title": "Recognizing Human Actions by Using Effective Codebooks and Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3d21/b7b4f48e614bc2f2b87eb110aa329b7d66d8.pdf"], "doi": []}, {"id": "3d2758e39308a64d2163cb638e684f58f868dbbc", "title": "Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities", "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr13.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr_2013_draft.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c395.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Possegger_Robust_Real-Time_Tracking_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619154", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.310", "http://doi.org/10.1109/CVPR.2013.310"]}, {"id": "92a93693f43a49a7b320d5771c6afaff98b27864", "title": "Audio-visual signal processing in a multimodal assisted living environment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/92a9/3693f43a49a7b320d5771c6afaff98b27864.pdf"], "doi": []}, {"id": "40fc2803d3df9759a3853b040588a7d9be9542d2", "title": "Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through Interacting Multiple Models", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/46741/46741.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295100", "http://doi.org/10.5220/0004674103140324"]}, {"id": "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "title": "On Detection, Data Association and Segmentation for Multi-target Tracking.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aaae/fba1bd0a9a9ec6c66a822d11fb907a05625c.pdf"], "doi": []}, {"id": "bab47c7bf80c9310f947cbdaf71b3c983c497b68", "title": "Systematic Parameter Optimization and Application of Automated Tracking in Pedestrian Dominant Situations Date of submission : 2014-0801", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bab4/7c7bf80c9310f947cbdaf71b3c983c497b68.pdf"], "doi": []}, {"id": "5bae9822d703c585a61575dced83fa2f4dea1c6d", "title": "MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1504.01942.pdf"], "doi": []}, {"id": "3da12b99cd8040bb374eed160f8016b3fe492967", "title": "Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context", "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2015/Multi-person%20tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7362180", "http://doi.org/10.1109/TCSVT.2015.2511480"]}, {"id": "1d4f56a9bb093c52569917537a93c7671db28e6f", "title": "Real-time Tracking of Player Identities in Team Sports", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1d4f/56a9bb093c52569917537a93c7671db28e6f.pdf"], "doi": []}, {"id": "280eea0fa86c811b5422012788853514876854aa", "title": "Multiple Feature Fusion in the Dempster-Shafer Framework for Multi-object Tracking", "year": "2014", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahietAlCRV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816859", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.49", "http://doi.org/10.1109/CRV.2014.49"]}, {"id": "0fcda01765c5a0b4cff99b5ed5139a6e1eddb689", "title": "Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/200304/files/Heili_TIP_2014.pdf", "http://publications.idiap.ch/downloads/reports/2013/Heili_Idiap-RR-06-2014.pdf", "http://publications.idiap.ch/downloads/reports/2014/Heili_Idiap-RR-05-2014.pdf", "http://www.idiap.ch/~odobez/publications/HeiliLopezOdobez-CRF-Tracking-TIP-2014.pdf", "https://infoscience.epfl.ch/record/198851/files/Heili_Idiap-RR-05-2014.pdf", "https://infoscience.epfl.ch/record/198852/files/Heili_Idiap-RR-06-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6815670", "http://doi.org/10.1109/TIP.2014.2324292", "https://www.ncbi.nlm.nih.gov/pubmed/24835228", "https://www.wikidata.org/entity/Q50617362"]}, {"id": "788a4db5d51b26880ea1d092c121804592b0ef5e", "title": "Track-to-track fusion for multi-target tracking using asynchronous and delayed data", "year": "2017", "pdf": [], "doi": []}, {"id": "128ea529f079431220ea63229c934f36287910f9", "title": "Robust Vehicle Surveillance in Night Traffic Videos Using an Azimuthally Blur Technique", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957584", "http://doi.org/10.1109/TVT.2014.2371067"]}, {"id": "baa6be848d52268b71c2486e43940dc64412543c", "title": "Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227468", "http://doi.org/10.1109/DICTA.2017.8227468"]}, {"id": "4163947e9f6538df8e4171b1e5f378d2728099df", "title": "Microscopic crowd simulation : evaluation and development of algorithms. (Simulation microscopique de foules : \u00e9valuation et d\u00e9veloppement d'algorithmes)", "year": "2016", "pdf": ["https://tel.archives-ouvertes.fr/tel-01420105/file/WOLINSKI_David.pdf"], "doi": ["https://tel.archives-ouvertes.fr/tel-01420105"]}, {"id": "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "title": "Simple online and realtime tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00763.pdf"], "doi": []}, {"id": "4b0893bf71e4e13529cefb286c78b166a9491552", "title": "Estimating orientation in tracking individuals of flying swarms", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001496.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471926", "http://doi.org/10.1109/ICASSP.2016.7471926"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Claudio_Jung/publication/260042947_Combining_patch_matching_and_detection_for_robust_pedestrian_tracking_in_monocular_calibrated_cameras/links/0deec53345668eb9ff000000.pdf", "https://pdfs.semanticscholar.org/ccde/43d13203bf29ccf351e8c9a79ee4b0b36142.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.08.031"]}, {"id": "48c494a8f1fdda835417ccc395a42fe210efec2c", "title": "Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/db3d/dc4b57a231ce18ba24731e8427ede7cbab1c.pdf"], "doi": []}, {"id": "baf3b3abb3b449a8c1c7850c3ba0ae813aa6d2ad", "title": "A variational approach to simultaneous multi-object tracking and classification", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1177/0278364915583881"]}, {"id": "687ec23addf5a1279e49cc46b78e3245af94ac7b", "title": "UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf"], "doi": []}, {"id": "0816cbac9ea8f4425d9b57fd46174cb35cd5d7cc", "title": "People tracking in RGB-D data with on-line boosted target models", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~arras/papers/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/iros11/luberIROS11.pdf", "http://www2.informatik.uni-freiburg.de/~spinello/luberIROS11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6095075", "http://doi.org/10.1109/IROS.2011.6095075"]}, {"id": "159b87e6e68b18f4daa3505bfc415be9b21a7db6", "title": "Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/159b/87e6e68b18f4daa3505bfc415be9b21a7db6.pdf"], "doi": []}, {"id": "45ca696076e9c073e6cf699766f808899589bc88", "title": "Aalborg Universitet Thermal Tracking of Sports Players", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1be2/ea37f0632fe1df4181f8931b69b8528cdd66.pdf"], "doi": []}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "bfe69413c439327680cba369c155f1d0fffb401d", "title": "A Sampling Algorithm for Occlusion Robust Multi Target Detection", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5279719", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2009.79", "http://doi.org/10.1109/AVSS.2009.79"]}, {"id": "3039a08c66d45168ab871303407d7e3047529bf6", "title": "Audio-visual tracking of multiple moving speakers.", "year": "2016", "pdf": [], "doi": []}, {"id": "65237b5e96c7492a0e5d01ddea5b1d381da408cd", "title": "A human-machine collaborative approach to tracking human movement in multi-camera video", "year": "2009", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1646436"]}, {"id": "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "title": "A Unified Video Text Detection Method with Network Flow", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269993", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.62", "http://doi.org/10.1109/ICDAR.2017.62"]}, {"id": "6475c1e95da0a3bd36786a32d00a893d85460e9e", "title": "Combined image- and world-space tracking in traffic scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.07357.pdf"], "doi": []}, {"id": "486a0044b9c86c6f648f153f3d3f2e534342b754", "title": "Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Trajectories-LISA-tiv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725511", "http://doi.org/10.1109/TIV.2016.2622921"]}, {"id": "ae872749c88331a93f8078aebf3a8d7f6d9c48fa", "title": "Modeling local behavior for predicting social interactions towards human tracking", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-10.pdf", "http://www2.cs.uh.edu/~xuyan/docs/pr2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.10.019"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "1ff89bd94d8a21b7ca4bf844e2d366f854822918", "title": "Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1ff8/9bd94d8a21b7ca4bf844e2d366f854822918.pdf"], "doi": []}, {"id": "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "title": "A Novel Multi-Detector Fusion Framework for Multi-Object Tracking", "year": "2017", "pdf": [], "doi": []}, {"id": "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "title": "Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.08.006"]}, {"id": "e9c000b765ba5519050a61726e007c430cd5bfcb", "title": "Computer Vision \u2013 ECCV 2016 Workshops", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08434.pdf"], "doi": []}, {"id": "869df5e8221129850e81e77d4dc36e6c0f854fe6", "title": "A metric for sets of trajectories that is practical and mathematically consistent", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03094.pdf"], "doi": []}, {"id": "f668ada16a00836498445bd29037e4af21f75d7a", "title": "People Tracking on a Mobile Companion Robot", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-SMC-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722496", "http://doi.org/10.1109/SMC.2013.743"]}, {"id": "4938651efabea4c55acb9485bdb0858a82e9013f", "title": "Labeled multi-Bernoulli tracking for industrial mobile platform safety", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.05966.pdf"], "doi": []}, {"id": "f59ac278349083a50871822ea08172258030265a", "title": "Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials", "year": "2016", "pdf": ["https://cse.sc.edu/~songwang/document/tip16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7536127", "http://doi.org/10.1109/TIP.2016.2598640"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking", "year": "2016", "pdf": ["http://homepages.laas.fr/lerasle/pdf/eccv2016.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-46484-8_47", "https://hal.laas.fr/hal-01763166/document"]}, {"id": "7a329ed2735f5401d6f978036fb859b10a4fb96a", "title": "Fast Metric Multi-Object Vehicle Tracking for Dynamical Environment Comprehension", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7402161"]}, {"id": "ce12bbb8ce974df4b64f18e478d7fa99b722de03", "title": "A Hybrid Data Association Framework for Robust Online Multi-Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.10764.pdf"], "doi": []}, {"id": "03306aa44c4073c14fd798229ef5c81c6ae50314", "title": "Automated Detection of Handwritten Whiteboard Content in Lecture Videos for Summarization", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8563220"]}, {"id": "cad7845e9668884caf4842b14983ec0e45bbbc75", "title": "Urban Tracker: Multiple object tracking in urban mixed traffic", "year": "2014", "pdf": ["http://www.jpjodoin.com/urbantracker/download/JodoinetAlWACV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836010", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836010", "http://doi.org/10.1109/WACV.2014.6836010"]}, {"id": "5e56c8776b5aa6edce068255134ea31670755b0c", "title": "Robust indoor speaker recognition in a network of audio and video sensors", "year": "2016", "pdf": ["http://www.research.ed.ac.uk/portal/files/28459152/1_s2.0_S0165168416300603_main.pdf", "https://pureapps2.hw.ac.uk/ws/portalfiles/portal/10652580/1_s2.0_S0165168416300603_main.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2016.04.014"]}, {"id": "e5f39fee9b241b83f27ff9fce0fd027268c6d030", "title": "Multi-object tracking using dominant sets", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2015.0297"]}, {"id": "e5a67c425ef3947f2294964692c9c3efc8d0ccab", "title": "Robust online multiple object tracking based on the confidence-based relative motion network and correlation filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533007", "http://doi.org/10.1109/ICIP.2016.7533007"]}, {"id": "795dec6a13b47655145e635a0e7b1ec04021ad7c", "title": "Multi-target Tracking in Crowded Scenes", "year": "2011", "pdf": ["https://www.dirk-farin.net/publications/data/Farin2011a.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23123-0_41"]}, {"id": "e48dea5a5c4d74ec12b6817997bbef7975bde526", "title": "Planetary Monocular Simultaneous Localization and Mapping", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1002/rob.21608"]}, {"id": "44880df54e6caa3e7263db7a4d5cb77838f4698f", "title": "Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01394.pdf"], "doi": []}, {"id": "866dd3a16e035a7c724f8ec02d26e45655f7a002", "title": "Human tracking using TLD with Automatic Initiation", "year": "2018", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3242855"]}, {"id": "0b5decf8a99c49a64dfed76d4d31b0b71c293767", "title": "Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.04091.pdf"], "doi": []}, {"id": "f86792e5f5214a7a79b80d90ab1957a9050100ea", "title": "Advances of Scene Text Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05219.pdf"], "doi": []}, {"id": "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "title": "Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bb4/5b2d3205e4631ccde488f1a8619c9625f481.pdf"], "doi": []}, {"id": "40d4fab85e2e1557e61d03b92429d64c6efba101", "title": "Detection-based multi-human tracking using a CRF model", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads/papers/2011/Heili_ICCV-VS_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Heili_VS2011_2011.pdf", "http://www.idiap.ch/~odobez/publications/HeiliChenOdobez-ICCV-VS-2011.pdf", "https://infoscience.epfl.ch/record/192447/files/Heili_ICCV-VS_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130451", "http://doi.org/10.1109/ICCVW.2011.6130451"]}, {"id": "291be6e3027575287c24f4363e4bf7a8b415d4c1", "title": "MSER-Based Real-Time Text Detection and Tracking", "year": "2014", "pdf": ["http://refbase.cvc.uab.es/files/GoK2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977248", "http://doi.org/10.1109/ICPR.2014.536"]}, {"id": "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "title": "GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory", "year": "2014", "pdf": ["http://personal.cityu.edu.hk/~meyfli/Publication/file/ZXL_TII14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678810", 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(Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"], "doi": []}, {"id": "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "title": "Scene Aware Detection and Block Assignment Tracking in crowded scenes", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5BIVC%5DScene%20Aware%20Detection%20and%20Block%20Assignment%20Tracking%20in%20crowded%20scenes_FinalPublishCopy.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.02.008"]}, {"id": "2965d092ed72822432c547830fa557794ae7e27b", "title": "Improving representation and classification of image and video data for surveillance applications", "year": "2012", "pdf": [], "doi": []}, {"id": "b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc", "title": "Online multi-object tracking via robust collaborative model and sample selection", "year": "2017", "pdf": 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Learning", "year": "2014", "pdf": ["http://www.researchgate.net/profile/Kuk-Jin_Yoon/publication/262109502_Robust_Online_Multiobject_Tracking_With_Data_Association_and_Track_Management/links/547682310cf2778985b08003.pdf", "https://cvl.gist.ac.kr/wp-content/uploads/2014/04/CVPR_2014_Online_MTT_Confidence_Rd.pdf", "https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Bae_Robust_Online_Multi-Object_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909555", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.159", "http://doi.org/10.1109/CVPR.2014.159"]}, {"id": "d7f22666206258c206c4634ad9b22f95e44504f5", "title": "Iterative refinement of multiple targets tracking of solar events", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7004402", "http://doi.org/10.1109/BigData.2014.7004402"]}, {"id": "e0f3b8cbf90096bb0d4b36324c6fe7db89f580b9", "title": "R\u00e9-identification de personnes : 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"http://doi.org/10.1109/TMM.2016.2638206"]}, {"id": "71599901b889e24372012ac405d5cfaef79f94b8", "title": "Better models for people tracking", "year": "2011", "pdf": ["http://srl.informatik.uni-freiburg.de/publicationsdir/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~luber/icra11/luberICRA11.pdf", "http://www2.informatik.uni-freiburg.de/~tipaldi/sites/default/files/luberICRA11.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5980296", "http://doi.org/10.1109/ICRA.2011.5980296"]}, {"id": "9a40afeb829b7f7f7696c9c0767a5da8cc5eed5a", "title": "Active colloids segmentation and tracking", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.04.022"]}, {"id": "1bea531e8271202462c7907f60a8458fa5aec00d", "title": "Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"], "doi": []}, 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"http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.101", "http://doi.org/10.1109/ICCVW.2015.101"]}, {"id": "6008ac8efbea0f9cfddfabbfa02f62f742685028", "title": "An equalised global graphical model-based approach for multi-camera object tracking", "year": "2015", "pdf": [], "doi": []}, {"id": "367b5b814aa991329c2ae7f8793909ad8c0a56f1", "title": "Performance evaluation of random set based pedestrian tracking algorithms", "year": "2013", "pdf": ["https://arxiv.org/pdf/1211.0191.pdf"], "doi": []}, {"id": "05036f4b48857275f50a191f83f7ac1ff0bfc5b1", "title": "Trade-off Between GPGPU based Implementations of Multi Object Tracking Particle Filter.", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/60923/60923.pdf"], "doi": ["http://doi.org/10.5220/0006092301230131", "https://hal.laas.fr/hal-01763095/document"]}, {"id": "da523ee3b7e8077713ebb7d903c3dc3bcb78921a", "title": "Multi-person tracking-by-detection based on calibrated multi-camera systems", "year": "2012", "pdf": ["http://hera.inf-cv.uni-jena.de:6680/pdf/Jiang12:MTB.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33564-8_89"]}, {"id": "e66925e6aad8d89b8a140b70e495bcbde72c8011", "title": "DEVELOPMENT OF A VISUAL OBJECT TRACKING SYSTEM USING COMPRESSIVE SENSIG FRAMEWORK FOR MODELLING THE APPEARANCE DESARROLLO DE UN SISTEMA DE SEGUIMIENTO DE OBJETOS USANDO LA TEORI\u0301A DE \u201cCOMPRESSIVE SENSING\u201d PARA MODELAR LA APARIENCIA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e669/25e6aad8d89b8a140b70e495bcbde72c8011.pdf"], "doi": []}, {"id": "169ae32829821d5e22c4744a42223f78a88de3b9", "title": "Joint Monocular 3D Vehicle Detection and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10742.pdf"], "doi": []}, {"id": "55e28e4c174bb7ad2fd80be3c13a033bbd91ac7a", "title": "Detection and Tracking of General Movable Objects in Large 3 D Maps", "year": "2017", "pdf": [], "doi": []}, {"id": "632c114e12a6b88bd488ddfb1960d669f101ca3f", "title": "Multi-face tracking by extended 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["https://arxiv.org/pdf/1604.07468.pdf"], "doi": []}, {"id": "3b2f78a4edf5da876e52513d0e3960da7d3a253f", "title": "Qualitative Evaluation of Detection and Tracking Performance", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328006", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.57", "http://doi.org/10.1109/AVSS.2012.57"]}, {"id": "02e97e65fd0ec9a6d98a255d0396eb796a5e444a", "title": "Online Multiple View Tracking: Targets Association Across Cameras", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/02e9/7e65fd0ec9a6d98a255d0396eb796a5e444a.pdf"], "doi": []}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "7b78af7951708f6059d374e2385a69ea367f62d2", "title": "The positioning accuracy based on the UWB technology for an object on circular trajectory", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7b78/af7951708f6059d374e2385a69ea367f62d2.pdf"], "doi": []}, {"id": "e527cd5b8a74cb47b291ff5b3b793840e5fa5b11", "title": "Automatic trajectory measurement of large numbers of crowded objects", "year": "2013", "pdf": ["https://arxiv.org/pdf/1902.00835.pdf"], "doi": []}, {"id": "489ef25ef51b2a2e660f8085d482fa5801d59058", "title": "Interpolation-Based Object Detection Using Motion Vectors for Embedded Real-time Tracking Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575254"]}, {"id": "500eeaffef9b28d9253d5ac3fd0bb3a9317e482a", "title": "HoG based real-time multi-target tracking in Bayesian framework", "year": "2016", "pdf": [], "doi": 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Allocation for Sparse Multiple Object Tracking", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f929/6decd223b13fca96836caf42aa037cd5055e.pdf"], "doi": []}, {"id": "2f04c7aaac3a884088be550d1be51b4a0b585a2e", "title": "Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Sekii_Robust_Real-Time_3D_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Sekii_Robust_Real-Time_3D_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780832", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.463", "http://doi.org/10.1109/CVPR.2016.463"]}, {"id": "6388c3f3559b61632942856bbede67b724542c9e", "title": "Multi-Target Tracking Using Hierarchical Convolutional Features and Motion Cues", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6388/c3f3559b61632942856bbede67b724542c9e.pdf"], "doi": []}, {"id": 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"http://refbase.cvc.uab.es/files/KSU2013.pdf", "http://vijaychan.github.io/Publications/2015%20ICDAR%20-%202015%20ICDAR%20Robust%20Reading%20Competition.pdf", "http://www.csse.uwa.edu.au/~shafait/papers/Dimos-Robust-Reading-Contest-ICDAR13.pdf", "http://www.cvc.uab.es/icdar2011competition/images/Robust_Reading_Challenge_1_v04_Print.pdf", "http://www.m.cs.osakafu-u.ac.jp/publication_data/1352/icdar_competition_report.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628859", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2013.221", "http://doi.org/10.1109/ICDAR.2013.221"]}, {"id": "b8b202fa955801da840afc9f523d439d14d87cc1", "title": "A Novel Approach for Monocular 3 D Object Tracking in Cluttered Environment 853 Monocular Video Sequences", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8b2/02fa955801da840afc9f523d439d14d87cc1.pdf"], "doi": []}, {"id": "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "title": "An Online and Flexible Multi-object Tracking Framework Using Long Short-Term Memory", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w21/Wan_An_Online_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575325", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00169", "http://doi.org/10.1109/CVPRW.2018.00169"]}, {"id": "e38c0c03f272270aed6a39fbc6275b132dfb498d", "title": "Scene Video Text Tracking With Graph Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283802", "http://doi.org/10.1109/ACCESS.2018.2797181"]}, {"id": "a67a84115304d3e55e00607d0dfbd3b20c8b8672", "title": "Particle filter based Conjoint Individual-Group Tracker (CIGT)", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301737", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301737", "http://doi.org/10.1109/AVSS.2015.7301737"]}, {"id": "c8633d0eff70feb0a378337237d4a03fec582290", "title": "Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/reddy_adaptive_avss_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597143", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.84", "http://doi.org/10.1109/AVSS.2010.84"]}, {"id": "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "title": "Multiple Object Tracking Based on Robust Network Flow Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820465", "http://doi.ieeecomputersociety.org/10.1109/CIS.2016.0074", "http://doi.org/10.1109/CIS.2016.0074"]}, {"id": "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "title": "Automatic generation of scene-specific person trackers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738079", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738079", "http://doi.org/10.1109/AVSS.2016.7738079"]}, {"id": "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "title": "3D Robotic Sensing of People: Human Perception, Representation and Activity Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "98a8ce914de8846105ee1ee56c0b201d0b0357ac", "title": "End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270138", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.207", "http://doi.org/10.1109/ICDAR.2017.207"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "ce6d4264e63b195563f8b958c129b03cb2c989f5", "title": "MOTS: Multi-Object Tracking and Segmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03604.pdf"], "doi": []}, {"id": "76a8d37bab548faef5e7ee1653be8985ed0713ad", "title": "No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08755.pdf"], "doi": []}, {"id": "1e335a6d3cdfe8f53540766b1495c45f72d8fb2f", "title": "Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.01726.pdf"], "doi": []}, {"id": "1be32039596ff52fa09772f4606b65845d1c5853", "title": "Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network", "year": "2015", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/78411.pdf", "http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2014/pedestriantrackingwithcrowdsim14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.10.001"]}, {"id": "1d81293bc17a135cfd35912146c538cd81830381", "title": "Single camera multi-person tracking based on crowd simulation", "year": "2012", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Conference/2012/Single%20Camera%20Multi-person%20Tracking12.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460958", "http://ieeexplore.ieee.org/document/6460958/"]}, {"id": "1e82a8965f08e8d38b16f39412e6e3c456f6f22e", "title": "Social force model aided robust particle PHD filter for multiple human tracking", "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0004398.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472508", "http://doi.org/10.1109/ICASSP.2016.7472508"]}, {"id": "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "title": "Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval", "year": "2017", 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Scenario under Uncertainties", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.02686.pdf"], "doi": []}, {"id": "10c077bf2dd1bed928926feb37837862ab786808", "title": "Multiple Target Tracking and Identity Linking under Split, Merge and Occlusion of Targets and Observations", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/10c0/77bf2dd1bed928926feb37837862ab786808.pdf"], "doi": []}, {"id": "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "title": "Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a8d5/f1416760dbd8d2993358938f85c7ab04e85a.pdf"], "doi": []}, {"id": "42f643a184183d639e976daa756c277779c066f8", "title": "Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00313.pdf"], "doi": []}, {"id": "5084ca7e4db3168e674414ae55cb6f4e682214e1", "title": "Detect-and-Track: Efficient Pose Estimation in 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"0f29710e54f714eeea5233628afc68c680d881bb", "title": "Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning", "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/fiaschi_14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Fiaschi_Tracking_Indistinguishable_Translucent_2014_CVPR_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/219478572/fiaschi_14_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909746", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.356", "http://doi.org/10.1109/CVPR.2014.356"]}, {"id": "9b9f921646571ede31671ccfb6763d96c22642c2", "title": "A taxonomy of situated language in natural contexts", "year": "2011", "pdf": [], "doi": []}, {"id": "b183914d0b16647a41f0bfd4af64bf94a83a2b14", "title": "Extensible video surveillance software with simultaneous event detection for low and high 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["http://doi.org/10.1016/j.cviu.2012.01.002"]}, {"id": "c32f798663bd00268e3ceb8a855222dae877a58a", "title": "Anomaly detection from videos under sparse data and partial observations \u2217", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/c32f/798663bd00268e3ceb8a855222dae877a58a.pdf"], "doi": []}, {"id": "7fb143927b616726f065a55b4455b822b4cc8d86", "title": "Structured Learning for Cell Tracking", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9423/feb0375f9ae19f8796718ec117e9b4afaf1a.pdf"], "doi": []}, {"id": "65a641203ebbed46a3db1993bd360713c51d9156", "title": "Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7000571", "http://doi.org/10.1109/TITS.2014.2371333"]}, {"id": "09cf3d036f84b6b3ac5244a2ecf8ac74f69de5d3", "title": "Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance", "year": "2012", "pdf": 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"http://www.researchgate.net/profile/Nojun_Kwak/publication/222398493_Feature_extraction_for_classification_problems_and_its_application_to_face_recognition/links/02e7e517899731ad4d000000.pdf"]}, {"id": "4347880f4ce93504e6f586ccec873cbe081cf9af", "title": "Curvelet transform with learning-based tiling", "year": "2017", "pdf": []}, {"id": "1fcd7978c6956fd9a0d752ecc9f5ac1a1b2896e9", "title": "Impact of Face Registration Errors on Recognition", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/609a/27e59432142ab58f2f30986e625822fc64c1.pdf"]}, {"id": "fbb22fe488b1eb973071ef117a0dcad9ede1651a", "title": "Sparsity regularization label propagation for domain adaptation learning", "year": "2014", "pdf": []}, {"id": "8e378ef01171b33c59c17ff5798f30293fe30686", "title": "A system for automatic face analysis based on statistical shape and texture models", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/8e37/8ef01171b33c59c17ff5798f30293fe30686.pdf"]}, {"id": 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"http://vision.eecs.northwestern.edu/papers/journal/CSVT2008b_Face_final.pdf", "http://www.ece.northwestern.edu/~jyu410/index_files/papers/Fu_Li_Yuan_CSVT08.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": "577f009d44839e279732ff901ebbb6a09dfb9fb7", "title": "Qualitative evaluation of visibility enhancement techniques on SAMEER-TU database for security and surveillance", "year": "2017", "pdf": []}, {"id": "803803b5c2c61046d63674f85ecf0123f9d2c4b8", "title": "Shape primitive histogram: low-level face representation for face recognition", "year": "2014", "pdf": []}, {"id": "853d6cfe9c08c971979d1dd138bb21c25ff750bf", "title": "Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under 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recognition : a comparison of phase-information extraction methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ffc9/d6a5f353e5aec3116a10cf685294979c63d9.pdf"]}, {"id": "2a83a51c9596ed796da52bdac49ca30e4eb04345", "title": "Eclectic Genetic Algorithm for Holistic Face Recognition in L \u221e Space", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2a83/a51c9596ed796da52bdac49ca30e4eb04345.pdf"]}, {"id": "fb4a4e56124b1ca1cac61a3dddd3490ae8291d64", "title": "Security evaluation of biometric keys", "year": "2012", "pdf": []}, {"id": "0971a5e835f365b6008177a867cfe4bae76841a5", "title": "Supervised Dictionary Learning by a Variational Bayesian Group Sparse Nonnegative Matrix Factorization", "year": "2014", "pdf": ["https://arxiv.org/pdf/1405.6914.pdf"]}, {"id": "c873b9a7c61d4157a96a98025967cd09472e567c", "title": "Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image", "year": "2010", "pdf": 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electronics key", "year": "2016", "pdf": []}, {"id": "0e979422896f63a93ab463af9eeb0013f6c5abb0", "title": "Learning Local Semantic Distances with Limited Supervision", "year": "2014", "pdf": []}, {"id": "8a12ee3c98b76d99531d5965f15bb77a10ec2569", "title": "Holistic Face Recognition through Multivariate Analysis and Genetic Algorithms", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8a12/ee3c98b76d99531d5965f15bb77a10ec2569.pdf"]}, {"id": "d78fb5e8da040b7f20546122093e50812ede8b37", "title": "State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach", "year": "2016", "pdf": []}, {"id": "3d6229044f6605604818f39f08c5270a5a132a03", "title": "Projective Nonnegative Matrix Factorization based on \u03b1-Divergence", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/3d62/29044f6605604818f39f08c5270a5a132a03.pdf"]}, {"id": "857c1ba9b7bea644966475bb9d6d4f29d7b13f2d", "title": "A distributed efficient face image screening and retrieval with affine transformations, disguised, and varying facial expressions", "year": "2009", "pdf": []}, {"id": "d07e9b04c1480d65e37e44bec3be95fc3206c17b", "title": "Combining classifiers for face recognition", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/506c/059fa06c1e2b7fcdea27556d5184d42c95a5.pdf"]}, {"id": "161c9ef7114bda7c5a60a29ee4a3161b0a76e676", "title": "Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.09156.pdf"]}, {"id": "ae54407c898fe156e83fc2bb8fbfa38075200f7c", "title": "Implementaci\u00f3n en hardware de algoritmo de reconocimiento de rostros BDPCA+LDA", "year": "2011", "pdf": []}, {"id": "3123e97a6b86913d994e44f8d9d5c639e0e2dc96", "title": "A Method of Initialization for Nonnegative Matrix Factorization", "year": "2007", "pdf": ["http://mlg.postech.ac.kr/static/publications/inter_conf/2007/icassp07_ydkim.pdf"]}, {"id": "77037a22c9b8169930d74d2ce6f50f1a999c1221", "title": "Robust Face Recognition With Kernelized Locality-Sensitive Group Sparsity Representation", "year": "2017", "pdf": ["https://ueaeprints.uea.ac.uk/64308/1/Accepted_manuscript.pdf"]}, {"id": "4179a8503a98ef98f5fe39c49642d6bd6ec15555", "title": "Fusing Two Kinds of Virtual Samples for Small Sample Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4179/a8503a98ef98f5fe39c49642d6bd6ec15555.pdf"]}, {"id": "b2c25af8a8e191c000f6a55d5f85cf60794c2709", "title": "A novel dimensionality reduction technique based on kernel optimization through graph embedding", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b2c2/5af8a8e191c000f6a55d5f85cf60794c2709.pdf"]}, {"id": "324acb08d73ebad775f784dae3434c43a898e46a", "title": "DropELM: Fast neural network regularization with Dropout and DropConnect", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/2_A_Iosifidis_NEUCOM_DropELM.pdf", "https://research-information.bristol.ac.uk/files/74278227/Ioannis_Pitas_DropELM_Fast_Neural_Network_Regularization_with_Dropout_and_DropConnect_2015.pdf"]}, {"id": "232a44d2d9dca00f1435ab45fa1bd3face438f92", "title": "On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks", "year": "2017", "pdf": []}, {"id": "52f6c7506d5d2b4344d2f00aeb3c9dd1112eebfb", "title": "RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.00484.pdf"]}, {"id": "a0c70766f1238f975db0ba687220ee78271d8b22", "title": "Face recognition using MB-LBP and PCA: A comparative study", "year": "2014", "pdf": []}, {"id": "96e7a8e435d67604eb9ba561991b9f7a65eeeb67", "title": "Robust Visual Tracking with Dual Group Structure", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/190.pdf", "https://pdfs.semanticscholar.org/96e7/a8e435d67604eb9ba561991b9f7a65eeeb67.pdf"]}, {"id": "7378f7f4165d28cd1ead2a8c0950098694163337", "title": "A Novel User-Specific Face and Palmprint Feature Level Fusion", "year": "2008", "pdf": []}, {"id": "42fe79301fe049dbe4ec3ca49d79127f126a565e", "title": "Applied Advanced Error Control Coding for General Purpose Representation and Association Machine Systems", "year": "2016", "pdf": []}, {"id": "661c16658db873efeee3621603fe6bd53eaffac1", "title": "LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition", "year": "2017", "pdf": ["http://eprints.lancs.ac.uk/87884/1/CaoYaoIEEETIP.pdf"]}, {"id": "5e4ad1f19e88b6dc87000f64b984d8f09abe7baf", "title": "Invariant Spectral Hashing of Image Saliency Graph", "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.3029.pdf"]}, {"id": "0fee3b9191dc1cef21f54232a23530cd8169d3b2", "title": "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection", "year": "2016", "pdf": []}, {"id": "fb9673f0373ca4c72fe9059648ae618d45fd8c90", "title": "Why Is Facial Occlusion a Challenging Problem", "year": "2009", "pdf": ["http://face.cs.kit.edu/download/publications/ICB_2009_239.pdf"]}, {"id": "78522d87381d70a919516f97c9dad9480fe064e9", "title": "Margin Based Dimensionality Reduction and Generalization", "year": "2010", "pdf": []}, {"id": "6163381244823241373f6741a282f2c4a868b59c", "title": "Multimodal biometrics for identity documents (MBioID).", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6163/381244823241373f6741a282f2c4a868b59c.pdf"]}, {"id": "95f7dc555d6ee4deaf3e30d4ed4c8a806bccb424", "title": "Feature space locality constraint for kernel based nonlinear discriminant analysis", "year": "2012", "pdf": ["http://nlpr-web.ia.ac.cn/2012papers/gjkw/gk60.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk60.pdf"]}, {"id": "d22064099b862eec0f430fb62a587dd888d471f3", "title": "Local Discriminant Space Alignment", "year": "2009", "pdf": []}, {"id": "1c7c477d8b7c4fec273c9edacb8135747a31bd59", "title": "Multimodal Biometric System Using Rank-Level Fusion Approach", "year": "2009", "pdf": []}, {"id": "714947e4d7f79f753c5c44eac701185e37086276", "title": "An Exponential Representation in the API Algorithm for Hidden Markov Models Training", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/7149/47e4d7f79f753c5c44eac701185e37086276.pdf"]}, {"id": "8caf100798c9a20db95acd7e9c73a6f9c3fe6c30", "title": "Online dictionary learning for Local Coordinate Coding with Locality Coding Adaptors", "year": "2015", "pdf": []}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"]}, {"id": "8765f312e35bba0650aa769b59da7e8fac9e98aa", "title": "A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios", "year": "2015", "pdf": ["http://www.mdpi.com/1424-8220/15/1/1903/pdf", "http://www.mdpi.com/1424-8220/15/1/1903/pdf-vor"]}, {"id": "8a5cb84819e8e03dd99d664cf3127eced5fe11c9", "title": "Clustering by differencing potential of data field", "year": "2018", "pdf": []}, {"id": "66f8115136a11684e3b95c5aaa1476a871d58a66", "title": "Face Recognition Using Multiple Image View Line Segments Title Face Recognition Using Multiple Image View Line Segments Primary Author(s) Date", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/66f8/115136a11684e3b95c5aaa1476a871d58a66.pdf"]}, {"id": "9a4db91c5af7866af67f5b043cfb448170d13090", "title": "An Investigation of Face and Fingerprint Feature-Fusion Guidelines", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9a4d/b91c5af7866af67f5b043cfb448170d13090.pdf"]}, {"id": "668e93e89835ec662d21cf695b7347339ce74c78", "title": "LIKELIHOOD RATIO FUSION WITHIN SCORES OF INDEPENDENT COMPONENT ANALYSIS FEATURES BASED FACE BIOMETRICS VERIFICATION SYSTEMS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/668e/93e89835ec662d21cf695b7347339ce74c78.pdf"]}, {"id": "207e91b23253545c32dfedf71773f5af1dc88057", "title": "Line-based Face Recognition under Varying Pose Title Line-based Face Recognition under Varying Pose Primary Author(s) Date", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/207e/91b23253545c32dfedf71773f5af1dc88057.pdf"]}, {"id": "4ff1ac4e66bc545275c83bc2ef1f3fb8bc207aec", "title": "An MPCA / LDA Based Dimensionality Reduction Algorithm for Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/17d0/b483c3eefde04d948c8013bdcd6704104e5c.pdf"]}, {"id": "1b784f1f9b93cbc894aedbb4223928dfc74bda10", "title": "Combination of Warping Robust Elastic Graph Matching and Kernel-Based Projection Discriminant Analysis for Face Recognition", "year": "2007", "pdf": []}, {"id": "15dc50e3bd1063c3760e1c17177a0e898175c61e", "title": "Visual routines for eye location using learning and evolution", "year": "2000", "pdf": []}, {"id": "d25f5e3cb9ae6d4c588f950ccd8063d5c9e11781", "title": "SEYRELT\u0130K KODLAMA \u0130LE Y\u00dcZ \u0130FADELER\u0130N\u0130N SINIFLANDIRILMASI CLASSIFICATION OF FACIAL EXPRESSIONS BY SPARSE CODING", "year": "2011", "pdf": []}, {"id": "84187adc5e6412123405102bb3c2f0428713593c", "title": "Quad-Tree based Image Encoding Methods for Data-Adaptive Visual Feature Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8418/7adc5e6412123405102bb3c2f0428713593c.pdf"]}, {"id": "6472df86bed51909f7b8aa0631f910db5a627c84", "title": "Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/6472/df86bed51909f7b8aa0631f910db5a627c84.pdf"]}, {"id": "f22c9094bae238bfcf040e015f9b9b703a8d4bce", "title": "Face colour under varying illumination - analysis and applications", "year": "2002", "pdf": []}, {"id": "2757ff9bba677e7bceaa4802d85cc6f872618583", "title": "From basis components to complex structural patterns", "year": "2013", "pdf": ["http://bsp.brain.riken.jp/publications/2013/KTD-ICASSP-Complex-Structure.pdf", "http://www.bsp.brain.riken.jp/~zdunek/ICASSP_Phan_2013.pdf"]}, {"id": "b03d5ed5b3f253703fa37d6445fab0e7cdf38ba1", "title": "Separate-Group Covariance Estimation With Insufficient Data for Object Recognition", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/b03d/5ed5b3f253703fa37d6445fab0e7cdf38ba1.pdf"]}, {"id": "9cde4e4c1310ffa14fce97bd10d323ea4c46e187", "title": "A Kernel Based Neighborhood Discriminant Submanifold Learning for Pattern Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9cde/4e4c1310ffa14fce97bd10d323ea4c46e187.pdf"]}, {"id": "3056a5686a404a862807f7aa7c70312bc0225e0e", "title": "Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images", "year": "2014", "pdf": []}, {"id": "1befea19da607cb9f797c75c37f84d3a78ffeaf3", "title": "Face recognition based on multi-scale local features", "year": "2012", "pdf": []}, {"id": "594f8f1abe570ee3e9557828d8f43c6c8878a9aa", "title": "A distributed technique for recognition and retrieval of faces with time-varying expressions", "year": "2009", "pdf": []}, {"id": "d9327b9621a97244d351b5b93e057f159f24a21e", "title": "Laplacian smoothing transform for face recognition", "year": "2010", "pdf": ["http://www.cil.pku.edu.cn/publications/papers/CS2010gusuicheng.pdf"]}, {"id": "1cb95f013ec3e78acdda6ac6cfdb362ae6a5ceac", "title": "Nonnegative matrix factorization for segmentation analysis", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1cb9/5f013ec3e78acdda6ac6cfdb362ae6a5ceac.pdf"]}, {"id": "0997f69e081bc460923a34e55b525a2aa3c4548a", "title": "Learning locality-constrained collaborative representation for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1210.1316.pdf"]}, {"id": "54fc77b3b3f8ed657437c4048fa6fffea6495b30", "title": "A Survey of Recent Developments in Theoretical Neuroscience and Machine Vision", "year": "2003", "pdf": []}, {"id": "61dfebbb02dad16b56cd9e6c54b5da3ab41caf1c", "title": "Exploiting Local Class Information in Extreme Learning Machine", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/61df/ebbb02dad16b56cd9e6c54b5da3ab41caf1c.pdf"]}, {"id": "ddd6ddd596265d035fba71e3567f168655bf3e73", "title": "Detection Strategies for Face Recognition Using Learning and Evolution", "year": "1998", "pdf": []}, {"id": "457abee61182a320b301d73ecceff00d055f596e", "title": "Face Recognition Using Line Edge Map", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/457a/bee61182a320b301d73ecceff00d055f596e.pdf"]}, {"id": "5821ef33b714c76337e9d1605bba3a578061d1a9", "title": "Feature Extraction Based on Wavelet Moments and Moment Invariants in Machine Vision Systems", "year": "2012", "pdf": ["http://cdn.intechopen.com/pdfs/36481/InTech-Feature_extraction_based_on_wavelet_moments_and_moment_invariants_in_machine_vision_systems.pdf", "https://api.intechopen.com/chapter/pdf-download/36481", "https://cdn.intechopen.com/pdfs-wm/36481.pdf"]}, {"id": "4ae1b8e74b304fbfdaf681b4626dc3ec00d69d54", "title": "Wavelet Transform Based Face Recognition Using SURF Descriptors", "year": "2017", "pdf": ["http://www.ijeee.net/uploadfile/2017/0228/20170228074755274.pdf"]}, {"id": "4cdfef0fec0918dcf5c40b9b53c9e3f48be0462b", "title": "Unsupervised robotic sorting: Towards autonomous decision making robots", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04572.pdf"]}, {"id": "59e3a1c0535de475ec06d637cd3d649241dce59e", "title": "Optimized Deep Learning Architectures with Fast Matrix Operation Kernels on Parallel Platform", "year": "2013", "pdf": []}, {"id": "a8eebadc262594d1ca86d5520f312c1779d00b33", "title": "Improved Minimum Squared Error Algorithm with Applications to Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/a8ee/badc262594d1ca86d5520f312c1779d00b33.pdf"]}, {"id": "e0d15d47c00e35d8bdc7ee4a1dd7751a4783a501", "title": "Face Detection Using Skin Color Recursive Clustering and Recognition Using Multilinear PCA", "year": "2011", "pdf": []}, {"id": "9d35d4fba9217404a7aab84a7d09e53c324710be", "title": "Biometrics Project : Bayesian Face Recognition", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/9d35/d4fba9217404a7aab84a7d09e53c324710be.pdf"]}, {"id": "18bca470bf51f5cc42148cd7e34fa58280be8eb2", "title": "Face Expressional Recognition using Geometry and Behavioral Traits", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/18bc/a470bf51f5cc42148cd7e34fa58280be8eb2.pdf"]}, {"id": "fafa295d64858756e61432f06f4e1d62b528aaac", "title": "Discriminative separable nonnegative matrix factorization by structured sparse regularization", "year": "2016", "pdf": []}, {"id": "691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc", "title": "Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.02733.pdf"]}, {"id": "9b7a41215af8950ac8cc791aba4a90e5eb908836", "title": "A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices", "year": "2012", "pdf": ["https://maxwell.ict.griffith.edu.au/spl/publications/papers/pr12_alok.pdf"]}, {"id": "05caf67982ce3416a28550f291211bd1459f9aeb", "title": "Face Recognition Using Holistic Features and Linear Discriminant Analysis Simplification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/05ca/f67982ce3416a28550f291211bd1459f9aeb.pdf"]}, {"id": "166290d850cad09e30f883165d4e310f707d5ead", "title": "PCA and kernel PCA using polynomial filtering: a case study on face recognition", "year": "2005", "pdf": []}, {"id": "34103d6e466b47ae820612e527db8cb46077cb13", "title": "Discriminative sparsity preserving embedding for face recognition", "year": "2013", "pdf": ["http://www3.ntu.edu.sg/home/EXDJiang/ICIP2013_1.pdf", "https://pdfs.semanticscholar.org/c9d3/8924a54c20d221208aca412372762e7502c5.pdf"]}, {"id": "192bf10c12bd5872da6989302d7cfb47491c7a6a", "title": "Combining classifiers using nearest decision prototypes", "year": "2013", "pdf": []}, {"id": "c285789796b61b49b851c6658f5bb57c1d445d2d", "title": "Novel moment invariants for improved classification performance in computer vision applications", "year": "2010", "pdf": []}, {"id": "66313d48a6352e731e40450f80a66c64aabae817", "title": "Beyond pixels: exploring new representations and applications for motion analysis", "year": "2009", "pdf": ["http://people.csail.mit.edu/celiu/Thesis/CePhDThesis.pdf", "http://www.cis.rit.edu/~cnspci/references/dip/motion_magnification/liu2009.pdf"]}, {"id": "acf70e967b069fa66dd63e85261ae6bda526a749", "title": "Large-scale Clustering using Random Sketching and Validation", "year": "2015", "pdf": 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nonnegative matrix factorization with outliers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02634.pdf"]}, {"id": "c6a6e517660eb640adadf6e8fe262fe6752939be", "title": "Hierarchical, Generic to Specific Multi-class Object Recognition", "year": "2006", "pdf": []}, {"id": "c2b8b49526e3dd537b641a6495e49a3d1a0ebbf2", "title": "Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics", "year": "2016", "pdf": []}, {"id": "b9e82ee9bb4cf016b5ed44b7acd2b42e1a5a6be2", "title": "Face recognition by applying wavelet subband representation and kernel associative memory", "year": "2004", "pdf": ["http://www.cs.bham.ac.uk/~pxt/NC/gi_face.pdf", "https://robotics.nus.edu.sg/sge/journal/sensor%20fusion/TNN-face-recognition-04.pdf", "https://www.researchgate.net/profile/Bailing_Zhang/publication/8328271_Face_recognition_by_applying_wavelet_subband_representation_and_kernel_associative_memory/links/02e7e5229208bbadb3000000.pdf"]}, {"id": 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on Adaptive Ternary Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.00031.pdf"]}, {"id": "ec5b6f284bb5f23c7c674f53adcd966652cffe58", "title": "Pattern Recognition Versus Verification Systems Analysis Studies for Biometrics Face Based Independent Component Analysis", "year": "2017", "pdf": ["http://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20170201.15.pdf"]}, {"id": "d2c92121d768cfb966184418205f9d92fb6c9e28", "title": "Principal Sample Analysis for Data Reduction", "year": "2018", "pdf": []}, {"id": "4689e75bca5a6eb1e3e1d6bcbd78d67ee39bb378", "title": "Projective active shape models for pose-variant image analysis of quasi-planar objects: Application to facial analysis", "year": "2010", "pdf": ["http://www.cistib.org/gestpub/attachments/Projective%20activeshapemodelsforpose-variantimageanalysisofquasi-planarobjects_application%20to%20facial%20analysis.pdf-bf07e986ac16d6a7ec153dc81632e6b2.pdf", "https://pdfs.semanticscholar.org/4689/e75bca5a6eb1e3e1d6bcbd78d67ee39bb378.pdf"]}, {"id": "163738c0f74ec82ab670a868a051edb732543b6e", "title": "Image alignment with rotation manifolds built on sparse geometric expansions", "year": "2007", "pdf": ["https://infoscience.epfl.ch/record/109422/files/MMSP2007_revised.pdf?version=1"]}, {"id": "5735c1b752f08a8263ba0d7c52ef5607f177f343", "title": "Kernelization of locality preserving discriminant projection", "year": "2015", "pdf": []}, {"id": "8f7ae27df3df63f0f9a0a8d595bd95f4dd6d2589", "title": "Efficient semi-supervised feature selection with noise insensitive trace ratio criterion", "year": "2013", "pdf": []}, {"id": "f4ca1d5132ce75f9ae9eadcfb055410024e6fa36", "title": "Face Recognition Using Multiple Histogram Features in Spatial and Frequency Domains", "year": "2016", "pdf": []}, {"id": "cfbfcf538c1c9bbf170a524995098fe4aacde374", "title": "Symmetric generalized low rank approximations of matrices", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0000949.pdf"]}, {"id": "263ce02126d9e5f861eff30b3170eddc158018bf", "title": "Face recognition using spectral features", "year": "2007", "pdf": ["http://www.cs.ust.hk/~jamesk/papers/pr07.pdf", "http://www.cse.ust.hk/~jamesk/papers/pr07.pdf"]}, {"id": "60ec284f67c1012419e5dea508d1bae4bc144bb2", "title": "Curvelet Based Multiresolution Analysis of Face Images for Recognition using Robust Local Binary Pattern Descriptor", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/60ec/284f67c1012419e5dea508d1bae4bc144bb2.pdf"]}, {"id": "1bed38bc216f80a50617afa5c6d9cc4b2db72519", "title": "Face recognition using early biologically inspired features", "year": "2013", "pdf": ["http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2014/btas2013_lm_20130805.pdf"]}, {"id": "927ad0dceacce2bb482b96f42f2fe2ad1873f37a", "title": "Interest-Point based Face Recognition System", "year": "2010", "pdf": 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["https://pdfs.semanticscholar.org/590c/277e8ca10f2c2d7e32eb4a9dc61078a67b96.pdf"]}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"]}, {"id": "f1d090fcea63d9f9e835c49352a3cd576ec899c1", "title": "Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f1d0/90fcea63d9f9e835c49352a3cd576ec899c1.pdf"]}, {"id": "e362aef53fd4e716adacfff443f7639339c0b88e", "title": "Fusing 2DKPCA and 2D(PC)2A for Image Matrix Based Face Recognition with One Training Sample Per Person", "year": "2008", "pdf": []}, {"id": "d154df56ac4382a0a81eb24b190bdba240546d87", "title": "Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification", "year": "2006", "pdf": ["http://homepages.ecs.vuw.ac.nz/~mengjie/papers/CS-TR-05-5.pdf", "http://homepages.mcs.vuw.ac.nz/~mengjie/papers/CS-TR-05-5.pdf"]}, {"id": "1a3f7b9fc451b54110aaebae56c65413c620f6e2", "title": "Multilevel Linear Dimensionality Reduction for Data Analysis using Nearest-Neighbor Graphs \u2217", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1a3f/7b9fc451b54110aaebae56c65413c620f6e2.pdf"]}, {"id": "1d0cbbe466647286bd73d41032a418b0e2265e7c", "title": "Fusion of face and gait for human recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1d0c/bbe466647286bd73d41032a418b0e2265e7c.pdf"]}, {"id": "7d3f6dd220bec883a44596ddec9b1f0ed4f6aca2", "title": "Linear Regression for Face Recognition", "year": "2010", "pdf": ["http://maths.dur.ac.uk/users/kasper.peeters/pdf/face_recognition/PCA/Togneri2010LinearRegressionFaceRecognition.pdf", "http://staffhome.ecm.uwa.edu.au/~00014742/research/papers/IEEETPAMI_32_2010.pdf"]}, {"id": "eac95636c09c5335a8f27d9fe26c4192f78c03a8", "title": "Multilevel nonlinear dimensionality reduction for manifold learning", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/eac9/5636c09c5335a8f27d9fe26c4192f78c03a8.pdf"]}, {"id": "86b87fa14321f2ca8a4e606cd4de17763dc48ace", "title": "Wavelet packets-based image retrieval", "year": "2002", "pdf": ["http://www.researchgate.net/profile/Saif_Zahir/publication/3948844_Wavelet_packets-based_image_retrieval/links/0fcfd511576f7644c1000000.pdf", "https://pdfs.semanticscholar.org/d9d4/8963328f598481b68a38b7ec3959ad5ff01c.pdf"]}, {"id": "daf4dfc87cac71f1293e5269ade8e7bc7c9c42b9", "title": "Robust face image alignment using structural priors", "year": "2016", "pdf": []}, {"id": "d8c0a1a5f556eb5c7640133374c87c393f0365d7", "title": "Phosphene object perception employs holistic processing during early visual processing stage.", "year": "2013", "pdf": []}, {"id": "9055e7415beb421a861df974147394d09e442bed", "title": "Why the alternative PCA provides better performance for face recognition", "year": "2009", "pdf": []}, {"id": "0f41f1a4bd5141184ee3ed3cf8874eeb396d7862", "title": "Deep Forest: Towards An Alternative to Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/22bf/3e9373c3d49715232976617637f6815524c6.pdf"]}, {"id": "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "title": "Deep learning and face recognition: the state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1902.03524.pdf"]}, {"id": "5d5cd6fa5c41eb9d3d2bab3359b3e5eb60ae194e", "title": "Face Recognition Algorithms", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5d5c/d6fa5c41eb9d3d2bab3359b3e5eb60ae194e.pdf"]}, {"id": "64be271fd50fce1cf8434020145a1b6e16f75c1a", "title": "Intrinsic Divergence for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/64be/271fd50fce1cf8434020145a1b6e16f75c1a.pdf"]}, {"id": "5d603a725a9ad972d2096eeb33828ac21a8c8319", "title": "A SIMPLE WAY OF EXTRACTING THE FACIAL FEATURE : BETWEEN-THE-EYES", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/5d60/3a725a9ad972d2096eeb33828ac21a8c8319.pdf"]}, {"id": "06b7713df895507720ee9cce4eee199531c018b9", "title": "A Grid-based Face Recognition Approach Using General Template Matching", "year": "2005", "pdf": []}, {"id": "d3a793759027f2ca2f2df750a0495ba61e67cdad", "title": "Local and Non-local Graph Regularized Sparse Coding for Face Recognition", "year": "2013", "pdf": []}, {"id": "30af3e6e0165ebc9a641420d14ca285105550205", "title": "LIFT: A new framework of learning from testing data for face recognition", "year": "2011", "pdf": ["http://www.ele.uri.edu/faculty/he/PDFfiles/NEUCOM-12029.pdf"]}, {"id": "12c548d99fdc59bd702910af2c3daa17ed43e5d7", "title": "Performance analysis of different matrix decomposition methods on face recognition", "year": "2016", "pdf": ["https://core.ac.uk/download/pdf/72805887.pdf"]}, {"id": "ea96bc017fb56593a59149e10d5f14011a3744a0", "title": "Local coordinate based graph-regularized NMF for image representation", "year": "2016", "pdf": ["http://www.cse.ust.hk/~qnature/pdf/SignalProcessing2016.pdf"]}, {"id": "01125423805e2d140ccb96f33c197ab97f6d4902", "title": "Vehicle detection in aerial imagery : A small target detection benchmark", "year": "2016", "pdf": []}, {"id": "6b9aa288ce7740ec5ce9826c66d059ddcfd8dba9", "title": "BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels", "year": "2017", "pdf": ["http://www.bnusei.net/wp-content/uploads/2017/11/BNU-LSVED-2.pdf"]}, {"id": "86d4e1fda741cff189ab0edf6e62152c46740526", "title": "Weighted SIFT feature learning with Hamming distance for face recognition", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/48598/48598.pdf"]}, {"id": "57cf990bb3d64668614787708efa7cb06d548d06", "title": "Learning representations for object classification using multi-stage optimal component analysis", "year": "2008", "pdf": ["http://ww2.cs.fsu.edu/~ywu/PDF-files/moca.pdf", "http://www.cs.fsu.edu/~liux/research/pub/papers/Wu-Learning-NN-2008.pdf"]}, {"id": "e5eb7fa8c9a812d402facfe8e4672670541ed108", "title": "Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e5eb/7fa8c9a812d402facfe8e4672670541ed108.pdf"]}, {"id": "5cd34abb1e96e0c11f427364e40b1e87d6fc62c2", "title": "Greedy Part-Wise Learning of Sum-Product Networks", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/5cd3/4abb1e96e0c11f427364e40b1e87d6fc62c2.pdf"]}, {"id": "e17783170ecc48253fa16123a041ae298184f4ff", "title": "Graph Embedding Algorithms Based on Neighborhood Discriminant Embedding for Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e177/83170ecc48253fa16123a041ae298184f4ff.pdf"]}, {"id": "4f854d04ee27c61c33b7437e21200ff0d811e064", "title": "Spectral feature analysis", "year": "2005", "pdf": []}, {"id": "d46d2a5a34e0add63c5775e7eb5fb624f0ae6d8a", "title": "Numerical Simplification and its Effect on FragmentDistributions in Genetic Programming", "year": "2011", "pdf": []}, {"id": "048bec3eac2ab7ca42f8b67d0effcd4e85027a5e", "title": "A Hybrid Face Recognition Method Based on Structural and Holistic Features", "year": "2009", "pdf": []}, {"id": "7113b51f20c01ea5cbe0be04c19588d20f432f9f", "title": "Face Recognition by Discriminative Orthogonal Rank-one Tensor Decomposition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/c72c/483b337fe53265c79fb80da6cb9cb55f3c44.pdf"]}, {"id": "eb03f0ddf6e1dbed41bdc075df8a5c6c136fe276", "title": "Class-wise two-dimensional PCA method for face recognition", "year": "2017", "pdf": []}, {"id": "4cc27210cfee0780f8a8f0d07635d33f15eec3bd", "title": "Apprentissage non-supervise\u0301 d'images par hybridation ge\u0301ne\u0301tique d'une chai\u0302ne de Markov cache\u0301e Unsupervised learning of pictures by genetic hibrydization of hidden Markov chain", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/4cc2/7210cfee0780f8a8f0d07635d33f15eec3bd.pdf"]}, {"id": "10689c0a253c858c898275b819609e3dbb6fae25", "title": "Convex Sparse PCA for Unsupervised Feature Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1411.6233.pdf"]}, {"id": "0322e69172f54b95ae6a90eb3af91d3daa5e36ea", "title": "Face Classification using Adjusted Histogram in Grayscale", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0322/e69172f54b95ae6a90eb3af91d3daa5e36ea.pdf"]}, {"id": "0e6f422c3f79c552c0c3d7eda0145aed8680f0ea", "title": "Random direction divisive clustering", "year": "2013", "pdf": []}, {"id": "2809753376c4a51fb88fd223acfb91ea277997e4", "title": "Face Recognition and Detection through Similarity Measurements", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2809/753376c4a51fb88fd223acfb91ea277997e4.pdf"]}, {"id": "36c8f798145902583592a03df88a6043baa11fe7", "title": "Score Fusion of SIFT & SURF Descriptors for Face Recognition Using Wavelet Transforms", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/36c8/f798145902583592a03df88a6043baa11fe7.pdf"]}, {"id": "162ff332f98f3493a96936d5c1547f65364097ae", "title": "Constraint Score Evaluation for Spectral Feature Selection", "year": "2013", "pdf": []}, {"id": "90496b7dd9f151f97681d3289ed4f6f18a57b918", "title": "Recognizing frontal face images using Hidden Markov models with one training image per person", "year": "2004", "pdf": []}, {"id": "b6bf9d357f280ba8bb8338b2448f0f90773f5c57", "title": "A Testing Methodology for Face Recognition Algorithms", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/b6bf/9d357f280ba8bb8338b2448f0f90773f5c57.pdf"]}, {"id": "19843ae1a237b7463e30207ec94f5a294bd8d0bb", "title": "Efficient and robust feature extraction by maximum margin criterion", "year": "2003", "pdf": []}, {"id": "68df1f746a3434ee8bcc8918d46809ddaad38b12", "title": "Subspace learning in minimax detection", "year": "2014", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202014/papers/p3086-raja_suleiman.pdf"]}, {"id": "504647a7403216470e1ab57fa8be3f97fd802d3b", "title": "A Hidden Markov Model-based Approach for Face Detection and Recognition a Proposal for a Doctoral Dissertation", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/5046/47a7403216470e1ab57fa8be3f97fd802d3b.pdf"]}, {"id": "0a3fa8e6f158e7faec024d83964751a5d59fe836", "title": "High-Performance Memory-based Face Recognition for Visitor Identification", "year": "1999", "pdf": ["https://pdfs.semanticscholar.org/e923/b92b718c44953a708cdde26428496e7489ef.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": "4e25cd4e40494aa5073fcfbef7506336b84152f4", "title": "Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/4e25/cd4e40494aa5073fcfbef7506336b84152f4.pdf"]}, {"id": "31cd61f05ea86a3eb08e06f1d0c2aa810805282f", "title": "On The Effect of Hyperedge Weights On Hypergraph Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1410.6736.pdf"]}, {"id": "147fe6bfc76f30ccacc3620662511e452bc395f6", "title": "A Survey of Face Recognition Techniques", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/147f/e6bfc76f30ccacc3620662511e452bc395f6.pdf"]}, {"id": "0d9815f62498db21f06ee0a9cc8b166acc93888e", "title": "Image recognition system based on novel measures of image similarity and cluster validity", "year": "2008", "pdf": []}, {"id": "ae4e2c81c8a8354c93c4b21442c26773352935dd", "title": "On the kernel Extreme Learning Machine classifier", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/1_A_Iosifidis_PRL_onKELM.pdf"]}, {"id": "38ebbd3b9ab655507cb072e313a48ddec78798b7", "title": "Face Recognition Using Two-Dimensional Tunable-Q Wavelet Transform", "year": "2015", "pdf": []}, {"id": "38679355d4cfea3a791005f211aa16e76b2eaa8d", "title": "Title Evolutionary cross-domain discriminative Hessian Eigenmaps", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/433f/a46bf12910fb06ba401f48e23e7c6bc05aa6.pdf"]}, {"id": "1abdf07ce2fca11a26222dedd581b68b141af3f2", "title": "Face Recognition Aiding Historical Photographs Indexing Using a Two-Stage Training Scheme and an Enhanced Distance Measure", "year": "2008", "pdf": ["http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi@80/2008/07.17.16.25/doc/lopesAFaceRecognitionHistoricalPhotographs.pdf"]}, {"id": 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hybrid pattern for noise-robust texture analysis", "year": "2015", "pdf": []}, {"id": "8e12bd55853967419e7383c30b81f043e1f2acab", "title": "Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8e12/bd55853967419e7383c30b81f043e1f2acab.pdf"]}, {"id": "0365ea467c169134e858bb668a8e19bd251019e7", "title": "Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique", "year": "2007", "pdf": ["http://www-users.cs.umn.edu/~saad/PDF/umsi-2006-16.pdf", "https://infoscience.epfl.ch/record/87372/files/ONPP_tpami_revision_ys.pdf"]}, {"id": "9cd2335f56bfc7b5eb509e138aab5e7838f8ecc2", "title": "Robust facial expression analysis for affect-based interaction", "year": "2012", "pdf": []}, {"id": "2b249bc1370339eaf221b1c2a3fcaab37a629459", "title": "Neighbourhood Discriminant Locally Linear Embedding in Face Recognition", "year": "2008", "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": "0aa9872daf2876db8d8e5d6197c1ce0f8efee4b7", "title": "Timing is everything : a spatio-temporal approach to the analysis of facial actions", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/0aa9/872daf2876db8d8e5d6197c1ce0f8efee4b7.pdf"]}, {"id": "0922e7d583d02f6078e59974a3de4452382ca9dd", "title": "Local approach for face verification in polar frequency domain", "year": "2006", "pdf": ["http://rogerioferis.com/publications/IVC-ZanaEtAl06.pdf", "http://www.cs.ucsb.edu/~mturk/pubs/IVC-ZanaEtAl06.pdf", "https://pdfs.semanticscholar.org/0922/e7d583d02f6078e59974a3de4452382ca9dd.pdf"]}, {"id": "10261848b16292a5c8c700de6c6c9f692867c9c8", "title": "Cleaning Training-Datasets with Noise-Aware Algorithms", "year": "2006", "pdf": ["http://ccc.inaoep.mx/~hugojair/papers/2006-Escalante-Clearning-Training-Datasets.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": "b8fdd124357113b374dadd5623c3e4c60b344453", "title": "A Survey of Face Recognition Methods", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/b8fd/d124357113b374dadd5623c3e4c60b344453.pdf"]}, {"id": "004a1bb1a2c93b4f379468cca6b6cfc6d8746cc4", "title": "Balanced k-Means and Min-Cut Clustering", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.6235.pdf"]}, {"id": "6ecd8ee110381e073fe6b4e79029fbb59d2b0e02", "title": "Face recognition via adaptive sparse representations of random patches", "year": "2014", "pdf": ["http://web.ing.puc.cl/~dmery/Prints/Conferences/International/2014-WIFS-MeryBowyer.pdf", "https://pdfs.semanticscholar.org/6ecd/8ee110381e073fe6b4e79029fbb59d2b0e02.pdf"]}, {"id": "1a66f37f37e4fbf9a8e657853933539256bbda88", "title": "Spectral Clustering by Joint Spectral Embedding and Spectral Rotation.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1a66/f37f37e4fbf9a8e657853933539256bbda88.pdf"]}, {"id": "4d39adb04c8846099f01cc12b5d22adb257652d7", "title": "Hybridization between Rough Set and FLDA for Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/4d39/adb04c8846099f01cc12b5d22adb257652d7.pdf"]}, {"id": "e4fb1e102393b9c2a83a054cb8f96aab5565505b", "title": "Line-Based Face Recognition under Varying Pose", "year": "1999", "pdf": ["http://ivizlab.sfu.ca/arya/Papers/IEEE/PAMI/1999/October/Line-based%20Face%20Recognition.pdf", "https://pdfs.semanticscholar.org/e4fb/1e102393b9c2a83a054cb8f96aab5565505b.pdf"]}, {"id": "48b86173d5576285f07a7d0a9c3cbb183d6aa63b", "title": "Disarticulation of Hand Vein using Digital Image Processing for Biometric Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/48b8/6173d5576285f07a7d0a9c3cbb183d6aa63b.pdf"]}, {"id": "18260aeca5ade8454043f8a2286779d5853b5b32", "title": "Discriminant error correcting output codes based on spectral clustering", "year": "2015", "pdf": []}, {"id": "4aff9eebbf4680ac8cdc2edcf650e4c467ce633c", "title": "Synthesis and Recognition of Face Profiles", "year": "2003", "pdf": []}, {"id": "f4283348b7d85610c0fc3c93df83caaf52977e3b", "title": "Dimensionality Reduction for the Purposes of Automatic Pattern Classification", "year": "2013", "pdf": []}, {"id": "90863022d8593a70e574816e6a43f1fdab842e27", 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"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": "5a2c5b50437a15ed986343c60ab5f3aa8b02ee50", "title": "Deep Adversarial Subspace Clustering", "year": "2018", "pdf": []}, {"id": "1624cf2321d6b06216ba0be9c13c23b340de0a52", "title": "A Nonlinear Kernel Support Matrix Machine for Matrix Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06487.pdf"]}, {"id": "c3b5ec36a29b320a576f6b9e58188b505becb4aa", "title": "Practical Gauss-Newton Optimisation for Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c3b5/ec36a29b320a576f6b9e58188b505becb4aa.pdf"]}, {"id": "f77563386ac293620ce2b90b5d7250ab5d8f9f50", "title": "Regression-based Hypergraph Learning for Image Clustering and Classification", "year": "2016", "pdf": 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recognition on FERET face database using LDA and CCA methods", "year": "2011", "pdf": []}, {"id": "4961a4efd448e173d26a380d15bc11d7d57b04b3", "title": "Rich Feature Combination for Cost-Based Broad Learning System", "year": "2019", "pdf": []}, {"id": "0a5d5f359614a5cb9f42f5b9e2ee6409975703e2", "title": "Multi-view face segmentation using fusion of statistical shape and appearance models", "year": "2010", "pdf": ["http://www.cistib.org/gestpub/attachments/multi-view%20face%20segmentation%20using%20fusion%20of%20statistical%20shape%20and%20appearance%20models.pdf-abeb37e5492a9bbce51fcdc094c9636a.pdf"]}, {"id": "7be6fe8c58ca12974c563689b7230b933dfca432", "title": "Design of radial basis function network as classifier in face recognition using eigenfaces", "year": "1998", "pdf": ["http://fei.edu.br/~cet/sbrn98.pdf", "http://general-vision.com/pub3rdparty/3P_RBF_as_FaceRecoClassifier.pdf"]}, {"id": "bdcdfe3c0ee4c93b583ccdb9be5e83583b4fc178", "title": "An Empirical Evaluation of Common 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"title": "Age estimation based on extended non-negative matrix factorization", "year": "2011", "pdf": []}, {"id": "f1c63d2d6b21366535ec3092883af413c2f7f18f", "title": "Multi pose face recognition using double stages classifications: SMLDA and fusion of scale invariant features", "year": "2013", "pdf": []}, {"id": "8aac66d15e0903257ec3abe6f126bf6316779011", "title": "Constructive Autoassociative Neural Network for Facial Recognition", "year": "2014", "pdf": []}, {"id": "559c527d03880269bdf7d51d7edf376abc12c7c8", "title": "Investigation on Different Pre-processing Approaches for Face Recognition System", "year": "2010", "pdf": []}, {"id": "a46283e90bcdc0ee35c680411942c90df130f448", "title": "Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/a462/83e90bcdc0ee35c680411942c90df130f448.pdf", 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VERIFICATION SYSTEM USING SPARSE CLASSIFIER", "year": "", "pdf": ["https://pdfs.semanticscholar.org/aba5/c9246fae51a7770bba16d04e4a9a454d4d3e.pdf"]}, {"id": "d76a1e668bb435e69f48b696532d7850fc814576", "title": "Face Recognition Utilizing Single Query Picture", "year": "2015", "pdf": []}, {"id": "d4305c30ffe986fa53872b1b6cb61856b3d7346a", "title": "Divergence Functions of Non negative Matrix Factorization: A Comparison Study", "year": "2011", "pdf": []}, {"id": "6291c0485f65e3879a66badffc4f947188a757b8", "title": "An Efficient Feature Extraction Method , Global Between Maximum and Local Within Minimum , and Its Applications", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6291/c0485f65e3879a66badffc4f947188a757b8.pdf"]}, {"id": "f648142987e097c74f927f6f4ee9c556898a1654", "title": "Face Recognition using improved local directional pattern approach for low resolution images", "year": "2016", "pdf": 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cancer diagnosis", "year": "2013", "pdf": []}, {"id": "5ce63df36f893d2ea13b58a20e58ebc0854ef4f8", "title": "A Kernel Two-Phase Test Sample Sparse Representation for Face Recognition", "year": "2016", "pdf": []}, {"id": "8e52267bda3033cf58f7d1d0390f7d26e9ee7115", "title": "Feature extraction inspired by visual cortex mechanisms", "year": "2010", "pdf": []}, {"id": "d90e292c4bc2fdbeec5e494c92194e4d3420d760", "title": "Pairwise clustering based on the mutual-information criterion", "year": "2016", "pdf": ["http://www.eng.biu.ac.il/goldbej/files/2012/05/neurocomputing_2016.pdf"]}, {"id": "6f74c3885b684e52096497b811692bd766071530", "title": "Low-rank representation with local constraint for graph construction", "year": "2013", "pdf": []}, {"id": "5be44ad234706995c5b6b7ec9c77ea5b85a2156a", "title": "Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics", "year": "2006", "pdf": ["http://papers.cnl.salk.edu/PDFs/Soft%20Mixer%20Assignment%20in%20a%20Hierarchical%20Generative%20Model%20of%20Natural%20Scene%20Statistics%202006-3901.pdf", "http://www.cs.miami.edu/home/odelia/People/odelia/ssd06NC.pdf", "http://www.gatsby.ucl.ac.uk/~dayan/papers/ssd2006.pdf"]}, {"id": "ff766741cfbfa14282a2ace9a5b1cc361e060b7c", "title": "Holistic Face Recognition using Multivariate Approximation , Genetic Algorithms and AdaBoost Classifier : Preliminary Results", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1f63/07a1a234cacebe5a089467da23d467423748.pdf"]}, {"id": "dbb7f37fb9b41d1aa862aaf2d2e721a470fd2c57", "title": "Face image analysis with convolutional neural networks", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/dbb7/f37fb9b41d1aa862aaf2d2e721a470fd2c57.pdf"]}, {"id": "8bd82d362c39c3f2160f5685149ed41125b0681c", "title": "Cancelable face verification using optical encryption and authentication.", "year": "2015", "pdf": []}, {"id": "035d6dbaf2053d065464e065bb824695b1ab5a95", "title": "Random permutation principal component analysis for cancelable biometric recognition", "year": "2017", "pdf": []}, {"id": "dc3ad684a90a45160e0c82a9b30b77e0bd4477ea", "title": "A performance analysis of lattice oscilation model kernels and KPCA", "year": "2007", "pdf": []}, {"id": "3dbae414346398645001197a1d1ce37f5953aeae", "title": "Minimal Support Vector Machine", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02370.pdf"]}, {"id": "3a8245748a5b682845784dab131f6d8240b09f7a", "title": "Content based Medical Image Retrieval : use of Generalized Gaussian Density to model BEMD \u2019 s IMF .", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/b956/47db261fd7902f448c975970d2d0b7107140.pdf"]}, {"id": "a2ff11632d5116f0510800d84ae2943029f4fd33", "title": "Distance measures for PCA-based face recognition", "year": "2004", "pdf": ["http://www.baskent.edu.tr/~hogul/dist_image.pdf"]}, {"id": "b5f9c5af707f55d96b1d3d65d970270d35a60987", "title": "Comparison of face Recognition Algorithms on Dummy Faces", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b5f9/c5af707f55d96b1d3d65d970270d35a60987.pdf"]}, {"id": "8f60e94729366f46cd4602df5f38113020874745", "title": "Object recognition based on fractal neighbor distance", "year": "2001", "pdf": []}, {"id": "b233c19eb5a65cbacb23a1fa2b9bd30764e7904a", "title": "Human face recognition using fuzzy multilayer perceptron", "year": "2010", "pdf": []}, {"id": "45c4514ca2b7903b4c8f43e396bce73f014b72be", "title": "Parallel Feature Extraction through Preserving Global and Discriminative Property for Kernel-Based Image Classification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/45c4/514ca2b7903b4c8f43e396bce73f014b72be.pdf"]}, {"id": "537ea23047f0bd8b58ca3fffe161bed2da913187", "title": "Face Recognition Based on Feature Fusion", "year": "2015", "pdf": ["https://download.atlantis-press.com/article/24651.pdf"]}, {"id": "7443ed0caa56a48a57cb3142c54a19ed7484b404", "title": "Image Feature Extraction Using 2D Mel-Cepstrum", "year": "2010", "pdf": []}, {"id": "34a1d075e6f4a9cea93b916ebac2f3bbdc2c5ab8", "title": "Non-negative Laplacian Embedding", "year": "2009", "pdf": ["http://users.cis.fiu.edu/~taoli/pub/ICDM10-3895a337.pdf", "https://users.cs.fiu.edu/~taoli/pub/ICDM10-3895a337.pdf"]}, {"id": "b7d425ea6b476c4af208a6b6a9e84ab17921dab4", "title": "Heuristic-based automatic face detection", "year": "2003", "pdf": []}, {"id": "4df922499ed5f3bb4c40b2ab2a9418de05135592", "title": "Locality Features Encoding in Regularized Linear Representation Learning for Face Recognition", "year": "2013", "pdf": []}, {"id": "3263fc6c05fdb917b26cc9444e32f4d76c62e711", "title": "Synergy of Schur , Hessenberg and QR Decompositions on Face Recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3263/fc6c05fdb917b26cc9444e32f4d76c62e711.pdf"]}, {"id": "ca30c8f28642303e8f9095fa5d1e908f194cd586", "title": "Nonparametric maximum margin criterion for face recognition", "year": "2005", "pdf": []}, {"id": "eef82228530a70a3158e59be2b0b07d6dccd8a88", "title": "Nonlinear supervised dimensionality reduction via smooth regular embeddings", "year": "2019", "pdf": ["https://arxiv.org/pdf/1710.07120.pdf"]}, {"id": "faa46ef96493b04694555738100d9f983915cf9b", "title": "Expression invariant face recognition using semidecimated DWT, Patch-LDSMT, feature and score level fusion", "year": "2015", "pdf": []}, {"id": "9c8a2d66b8fd6973751b8ee2fe6738327968cfcb", "title": "Exploring a model of far-from-equilibrium computation", "year": "2005", "pdf": ["https://pdfs.semanticscholar.org/9c8a/2d66b8fd6973751b8ee2fe6738327968cfcb.pdf"]}, {"id": "2921719b57544cfe5d0a1614d5ae81710ba804fa", "title": "Face Recognition Enhancement Based on Image File Formats and Wavelet", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2921/719b57544cfe5d0a1614d5ae81710ba804fa.pdf"]}, {"id": 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Recognition", "year": "2006", "pdf": ["http://dtic.mil/dtic/tr/fulltext/u2/a467499.pdf", "http://publications.csail.mit.edu/tmp/MIT-CSAIL-TR-2005-015.pdf", "http://web.mit.edu/sinhalab/Papers/Balas_Sinha_NC.pdf", "http://www.dtic.mil/get-tr-doc/pdf?AD=ADA467499"]}, {"id": "b7653d96c148a6a9e37822b64982a9a499686b29", "title": "k-Intervals: A New Extension of the k-Means Algorithm", "year": "2014", "pdf": []}, {"id": "b209608a534957ec61e7a8f4b9d08286ae3d1d7f", "title": "SDF classifier revisited", "year": "2012", "pdf": []}, {"id": "78342d17c6c6fff00cf1b20602f3213a3f61ba56", "title": "Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition", "year": "2013", "pdf": ["https://arxiv.org/pdf/1312.7469.pdf"]}, {"id": "d3be2efe2193eea84562f83e8589a3472a9520e5", "title": "Ica aplicado a la extracci\u00f3n de caracter\u00edsticas en im\u00e1genes.", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d3be/2efe2193eea84562f83e8589a3472a9520e5.pdf"]}, {"id": "3155c3096026e82c7f8844f379157843bab4e0dc", "title": "Person identification using face and speech biometrics", "year": "2010", "pdf": []}, {"id": "362cfe79a6822f9e317555c5e3469dd038b9053f", "title": "Damped Gauss-Newton algorithm for nonnegative Tucker decomposition", "year": "2011", "pdf": ["http://library.utia.cas.cz/separaty/2011/SI/tichavsky-damped%20gauss-newton%20algorithm%20for%20nonnegative%20tucker%20decomposition.pdf"]}, {"id": "fd7c9d90ade72ad96990b284004f672a482029d6", "title": "Local Gabor phase difference pattern for face recognition", "year": "2008", "pdf": []}, {"id": "80265d7c9fe6a948dd8c975bd4d696fb7ba099c9", "title": "Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN", "year": "2009", "pdf": ["http://cdn.intechopen.com/pdfs-wm/6155.pdf", "http://cdn.intechopen.com/pdfs/6155/InTech-Face_recognition_based_on_human_visual_perception_theories_and_unsupervised_ann.pdf", "http://www.reev.us/pdfs/chacon2009face.pdf", "https://api.intechopen.com/chapter/pdf-download/6155"]}, {"id": "fb8869680fdf1514c0997c14a189501632bffb2a", "title": "Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3 rd order tensors", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fb88/69680fdf1514c0997c14a189501632bffb2a.pdf"]}, {"id": "770b3855cdd15b49c89e4053b6cedafe53cecd6f", "title": "Improved Face Recognition Using Pseudo 2-D Hidden Markov Models", "year": "1998", "pdf": []}, {"id": "77008ab857beb64a5d35e2ef3575db2ed1e087fc", "title": "Fuzzy LDA for face recognition with GA based optimization", "year": "2010", "pdf": []}, {"id": "3aa98c08043558fec09bbf731cd7a8f09cf4eacf", "title": "Projective Nonnegative Matrix Factorization with \u03b1-Divergence", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/9afe/fe4400df5913d2ba61f48470a804b78c84a1.pdf"]}, {"id": "21a1e0cd24e4a1d383556fe566bb2326da18f26c", "title": "Discriminant simplex analysis", "year": "2008", "pdf": ["http://www.lv-nus.org/papers%5C2008%5C2008_C_17.pdf"]}, {"id": "a32f28156b47fd262e04426806037d138bb3ed0b", "title": "Fisher \u2019 s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a32f/28156b47fd262e04426806037d138bb3ed0b.pdf"]}, {"id": "4d3faf14bef2c835bed774c0c9cd5cee8827c6f0", "title": "Linear vs. quadratic discriminant analysis classifier: a tutorial", "year": "2016", "pdf": []}, {"id": "ab12db11007c33fa71cf228caee35da8277277a1", "title": "Face Pattern Recognition Using Convolutional Macropixel Approach", "year": "2018", "pdf": []}, {"id": "b6c0397fc911e12519655ec1eb1074574ae6f290", "title": "Feature Subspace Estimation for Resolving Dimensionality Mismatch in Practical Color-Based Face Recognition Systems", "year": "2016", "pdf": []}, {"id": "2caabb0a9656881d2f6d6562eb1e587b67fb8f64", "title": "Human Facial Feature Localisation by Gabor Filter and Clustering", "year": "2010", "pdf": []}, {"id": "11fb122efe711980ec4fb55e49bfbc03f538c462", "title": "Sparse representation for face recognition based on discriminative low-rank dictionary learning", "year": "2012", "pdf": ["http://personal.stevens.edu/~clong/cvpr2012/Sparse%20Representation%20for%20Face%20Recognition%20based%20on%20Discriminative%20Low-Rank%20Dictionary%20Learning.pdf", "https://pdfs.semanticscholar.org/11fb/122efe711980ec4fb55e49bfbc03f538c462.pdf"]}, {"id": "d0318d0e1f87c16e1e4718b8166743f617c62a47", "title": "Null space-based LDA with weighted dual personal subspaces for face recognition", "year": "2005", "pdf": 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"http://www.researchgate.net/profile/Nojun_Kwak/publication/222398493_Feature_extraction_for_classification_problems_and_its_application_to_face_recognition/links/02e7e517899731ad4d000000.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2007.10.012"]}, {"id": "4347880f4ce93504e6f586ccec873cbe081cf9af", "title": "Curvelet transform with learning-based tiling", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.image.2017.01.009"]}, {"id": "1fcd7978c6956fd9a0d752ecc9f5ac1a1b2896e9", "title": "Impact of Face Registration Errors on Recognition", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/609a/27e59432142ab58f2f30986e625822fc64c1.pdf"], "doi": []}, {"id": "fbb22fe488b1eb973071ef117a0dcad9ede1651a", "title": "Sparsity regularization label propagation for domain adaptation learning", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.02.044"]}, {"id": "8e378ef01171b33c59c17ff5798f30293fe30686", "title": "A system for automatic face analysis based 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["http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2007_805.pdf", "http://papers.nips.cc/paper/3261-subspace-based-face-recognition-in-analog-vlsi.pdf"], "doi": ["http://papers.nips.cc/paper/3261-subspace-based-face-recognition-in-analog-vlsi"]}, {"id": "e74a2159f0f7afb35c7318a6e035bc31b8e69634", "title": "Facial expression recognition using hybrid features and self-organizing maps", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019503", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019503", "http://doi.org/10.1109/ICME.2017.8019503"]}, {"id": "aeb83c009f37e74257209204d463c14982a2c64f", "title": "Exploring the Uncertainty Space of Ensemble Classifiers in Face Recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1142/S0218001415560029"]}, {"id": "79ade61f677dcadfc2b46444d2e0275d25ca1f06", "title": "Nonnegative Tucker decomposition with alpha-divergence", "year": "2008", "pdf": ["http://mlg.postech.ac.kr/static/publications/inter_conf/2008/icassp08_ydkim.pdf", "http://www.bsp.brain.riken.jp/publications/2008/KIm-Cichocki-Choi-icassp08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4517988", "http://doi.org/10.1109/ICASSP.2008.4517988"]}, {"id": "28c14a6c64518c21888afb2d73fe8dff633ca4da", "title": "Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/28c1/4a6c64518c21888afb2d73fe8dff633ca4da.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6360018", "http://doi.org/10.1109/TNNLS.2012.2216545", "https://www.ncbi.nlm.nih.gov/pubmed/24808203", "https://www.wikidata.org/entity/Q45337943"]}, {"id": "2663fa2f1777dc779a73d678c7919cce37b5fb61", "title": "Relevance-Weighted ( 2 D ) 2 LDA Image Projection Technique for Face Recognition", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2663/fa2f1777dc779a73d678c7919cce37b5fb61.pdf"], "doi": []}, {"id": "112f76b909701ab8e64f5909981ec91fe8df60ae", "title": "Face recognition with enhanced local directional patterns", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.03.020"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "53a43a5e650d0c0857f856df60d8a90772e542dd", "title": "Supervised Gabor-Based Kernel Locality Preserving Projections for Face Recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6142276", "http://doi.ieeecomputersociety.org/10.1109/iThings/CPSCom.2011.68", "http://doi.org/10.1109/iThings%2FCPSCom.2011.68"]}, {"id": "85c1926ea23ff4f472774fec8c6a993bb499e4f4", "title": "Eigenbands fusion for frontal face recognition", "year": "2003", "pdf": ["http://www.researchgate.net/profile/George_Cavalcanti/publication/271543100_Eigenbands_fusion_for_frontal_face_recognition/links/54da0e490cf24647582040df.pdf"], "doi": ["http://doi.org/10.1109/ICIP.2003.1247049"]}, {"id": "2dfc48168c0de9e6c7135293c95b7d794fcfbbbf", "title": "Query-Driven Locally Adaptive Fisher Faces and Expert-Model for Face Recognition", "year": "2007", "pdf": ["http://users.eecs.northwestern.edu/~jyu410/index_files/papers/04378911_Fu_Yuan_Li_ICIP07.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICIP_2007/pdfs/0100141.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4378911", "http://doi.org/10.1109/ICIP.2007.4378911"]}, {"id": "dcb99b0de664e17b1de205dd1aad327414ea686e", "title": "A new face recognition method based on image decomposition for single sample per person problem", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2015.02.032"]}, {"id": "88e6c221273af85e8736b4b865ad90f9a1464480", "title": "Robust embedded projective nonnegative matrix factorization for image analysis and feature extraction", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-016-0545-z"]}, {"id": "65d63caaef6ad6a4863453f97652782229455606", "title": "Extracci\u00f3n de Caracter\u00edsticas Mediante Vectores Comunes Discriminantes Extendidos con Kernel", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/65d6/3caaef6ad6a4863453f97652782229455606.pdf"], "doi": []}, {"id": "6006010ad0d9507d5ad31f0bc7f452acb45e64db", "title": "Laplacian Centrality Peaks Clustering Based on Potential Entropy", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8468315"]}, {"id": "0e49a23fafa4b2e2ac097292acf00298458932b4", "title": "Unsupervised Detection of Outlier Images Using Multi-Order Image Transforms", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0e49/a23fafa4b2e2ac097292acf00298458932b4.pdf"], "doi": []}, {"id": "aa49556ee4f1ee3fcc9f0f713c755da30b0f505c", "title": "Exactly Robust Kernel Principal Component Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.10558.pdf"], "doi": []}, {"id": "c1a16ee838d977160821951e7264af4b2e7c8265", "title": "Waveletfaces and Linear Regression Classification for Face Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8278094"]}, {"id": "cde7901c0945683d0c677b1bb415786e4f6081e6", "title": "A Survey of 2D Face Databases", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7300980", "http://doi.ieeecomputersociety.org/10.1109/IRI.2015.44", "http://doi.org/10.1109/IRI.2015.44"]}, {"id": "727c8c696c6acc04e57b6c3541613702c22c6f0f", "title": "Optimal discrete wavelet transform (DWT) features for face recognition", "year": "2010", "pdf": ["http://eprints.uthm.edu.my/2052/1/Afandi__1_FKEE_(APCCAS_2010).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5774907", "http://doi.org/10.1109/APCCAS.2010.5774907"]}, {"id": "0ea2fa4039b6fc733dbc6942642287f141c1121c", "title": "Situation Awareness through Multimodal Biometric Template Security in Real-Time Environments", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6680097", "http://doi.ieeecomputersociety.org/10.1109/CW.2013.80", "http://doi.org/10.1109/CW.2013.80"]}, {"id": "11e595afd0c70b1077938f7fbe547bb163fa996c", "title": "Modeling and processing of high dimensional signals and systems using the sparse matrix transform", "year": "2009", "pdf": [], "doi": []}, {"id": "043c682265532e1dad18e68f269bb75d162380b6", "title": "Fuzzy Extended Feature Line Classifier for Image Classification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7415814", "http://doi.org/10.1109/IIH-MSP.2015.95"]}, {"id": "f1e2dcaf6ca82ab7cf00b21c9f4b78f173069ed6", "title": "Gabor-Based Kernel Independent Component Analysis for Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5635910", "http://doi.ieeecomputersociety.org/10.1109/IIHMSP.2010.97", "http://doi.org/10.1109/IIHMSP.2010.97"]}, {"id": "9b4532181847d2a28c059e3c07a45c4ee8452cc6", "title": "Statistical learning for multimedia information retrieval and their applications", "year": "2008", "pdf": [], "doi": []}, {"id": "36513f869e5ba2928369014244dff998ab93728c", "title": "Discriminative cluster analysis", "year": "2006", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=1143875"]}, {"id": "5b14abbea83270282ef94fcf3f3a73e7d8fee023", "title": "Experiments about the Generalization Ability of Common Vector based methods for Face Recognition", "year": "2007", "pdf": [], "doi": []}, {"id": "938566dc8ee83a12d07e4d26bbb75e65ca7963cd", "title": "Multi-Scale Singularity Trees (MSSTs)", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/9385/66dc8ee83a12d07e4d26bbb75e65ca7963cd.pdf"], "doi": []}, {"id": "03e83659f0fc98dd03c354a2cc7a90d585ff9cf5", "title": "Face Recognition Using Holistic Features and Within Class Scatter-Based PCA", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/03e8/3659f0fc98dd03c354a2cc7a90d585ff9cf5.pdf"], "doi": []}, {"id": "18c4a0e82fdddda2530b7281ad567abc0373a89f", "title": "Principal Coefficients Embedding: Theory and Algorithm", "year": "2014", "pdf": [], "doi": []}, {"id": "ff0bcbb588ac521c055f9214dd7630579038060e", "title": "Appariement Robuste de Formes Visuelles Complexes, Application \u00e0 la D\u00e9tection d'Objets. (Robust matching of complex visual forms, Application to object detection)", "year": "2009", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/pastel-00005611", "https://pastel.archives-ouvertes.fr/pastel-00005611/document"]}, {"id": "e113a840e088d07e14349f979d21a18d246a6217", "title": "An orthogonal regularized CCA learning algorithm for feature fusion", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2014.01.009"]}, {"id": "5543224d6f8e22e7eaabfcbc4bed9e8a9451e3f8", "title": "Automatische Bildfolgenanalyse mit statistischen Mustererkennungsverfahren", "year": "2001", "pdf": ["https://pdfs.semanticscholar.org/5543/224d6f8e22e7eaabfcbc4bed9e8a9451e3f8.pdf"], "doi": []}, {"id": "163ba5a998973f9ead6be0ca873aed5934d5022e", "title": "PFW: A Face Database in the Wild for Studying Face Identification and Verification in Uncontrolled Environment", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778340", "http://doi.org/10.1109/ACPR.2013.53"]}, {"id": "38a9b0963a279e7aab52cd50b095ecc9f8e6da49", "title": "Linear Neighborhood Propagation and Its Applications", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4620115", "http://doi.org/10.1109/TPAMI.2008.216", "https://www.ncbi.nlm.nih.gov/pubmed/19574621", "https://www.wikidata.org/entity/Q51815107"]}, {"id": "176d9121e4e645344de4706dfb345ad456bfb84a", "title": "Efficient algorithm for sparse coding and dictionary learning with applications to face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1117/1.JEI.24.2.023009"]}, {"id": "10e5b4d4be3ccbedbc0c67a9c30200e6d79e0283", "title": "Two-Stage Metric Learning Procedure for Facial Signature Authentication", "year": "2007", "pdf": [], "doi": ["http://doi.org/10.1142/S0219878907001204"]}, {"id": "884e1de068accb6cbdc8d3e1bd590a033628baea", "title": "Locality-sensitive kernel sparse representation classification for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2014.09.011"]}, {"id": "b331ca23aed90394c05f06701f90afd550131fe3", "title": "Double regularized matrix factorization for image classification and clustering", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b331/ca23aed90394c05f06701f90afd550131fe3.pdf"], "doi": []}, {"id": "19b0ebf88a4672342429526a683d34ae5f65e4b6", "title": "Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing", "year": "2008", "pdf": ["http://users.eecs.northwestern.edu/~jyu410/index_files/papers/Fu_Li_Yuan_CSVT08.pdf", "http://users.eecs.northwestern.edu/~yingwu/papers/journal/CSVT2008b_Face_final.pdf", "http://vision.eecs.northwestern.edu/papers/journal/CSVT2008b_Face_final.pdf", "http://www.ece.northwestern.edu/~jyu410/index_files/papers/Fu_Li_Yuan_CSVT08.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4625970", "http://doi.org/10.1109/TCSVT.2008.2004933"]}, 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"853d6cfe9c08c971979d1dd138bb21c25ff750bf", "title": "Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7963/675823a8f26732d09be6db896b129b98414a.pdf"], "doi": []}, {"id": "09ce555219111006529b4185b4320cc21605ac79", "title": "Farthest Centroids Divisive Clustering", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4724980"]}, {"id": "49812218d3b84ab65ddc52fd2e7e17c688d2dfe9", "title": "Feature selection from high-order tensorial data via sparse decomposition", "year": "2012", "pdf": ["http://www.cs.zju.edu.cn/people/wangdh/papers/preprint_PRL2012_wang.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2012.06.010"]}, {"id": "4c2eda1297ecc45b1365470698c01bdeecb5a1f8", "title": "Constraint scores for semi-supervised feature selection: A comparative study", "year": "2011", "pdf": ["https://hal.archives-ouvertes.fr/hal-00732484/file/articlesoumis_en_deuxieme_version.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2010.12.014"]}, {"id": "ee570863a3c2d5a6197caa763dd740dd700630ee", "title": "Supervised sparse neighbourhood preserving embedding", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2016.0254"]}, {"id": "ffc9d6a5f353e5aec3116a10cf685294979c63d9", "title": "Eigenphase-based face recognition : a comparison of phase-information extraction methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ffc9/d6a5f353e5aec3116a10cf685294979c63d9.pdf"], "doi": []}, {"id": "2a83a51c9596ed796da52bdac49ca30e4eb04345", "title": "Eclectic Genetic Algorithm for Holistic Face Recognition in L \u221e Space", "year": "", "pdf": ["https://pdfs.semanticscholar.org/2a83/a51c9596ed796da52bdac49ca30e4eb04345.pdf"], "doi": []}, {"id": "fb4a4e56124b1ca1cac61a3dddd3490ae8291d64", "title": "Security evaluation of biometric keys", "year": "2012", "pdf": [], 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and varying facial expressions", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5168068"]}, {"id": "d07e9b04c1480d65e37e44bec3be95fc3206c17b", "title": "Combining classifiers for face recognition", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/506c/059fa06c1e2b7fcdea27556d5184d42c95a5.pdf"], "doi": []}, {"id": "161c9ef7114bda7c5a60a29ee4a3161b0a76e676", "title": "Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1512.09156.pdf"], "doi": []}, {"id": "ae54407c898fe156e83fc2bb8fbfa38075200f7c", "title": "Implementaci\u00f3n en hardware de algoritmo de reconocimiento de rostros BDPCA+LDA", "year": "2011", "pdf": [], "doi": []}, {"id": "3123e97a6b86913d994e44f8d9d5c639e0e2dc96", "title": "A Method of Initialization for Nonnegative Matrix Factorization", "year": "2007", "pdf": 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New Density-Based Clustering Algorithm Using Relative KNN Kernel Density", "year": "2018", "pdf": ["https://arxiv.org/pdf/1611.00484.pdf"], "doi": []}, {"id": "a0c70766f1238f975db0ba687220ee78271d8b22", "title": "Face recognition using MB-LBP and PCA: A comparative study", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6921773"]}, {"id": "96e7a8e435d67604eb9ba561991b9f7a65eeeb67", "title": "Robust Visual Tracking with Dual Group Structure", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/190.pdf", "https://pdfs.semanticscholar.org/96e7/a8e435d67604eb9ba561991b9f7a65eeeb67.pdf"], "doi": ["https://doi.org/10.1007/978-3-319-16817-3_40"]}, {"id": "7378f7f4165d28cd1ead2a8c0950098694163337", "title": "A Novel User-Specific Face and Palmprint Feature Level Fusion", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4740005"]}, {"id": "42fe79301fe049dbe4ec3ca49d79127f126a565e", "title": "Applied Advanced Error Control Coding for General Purpose Representation and Association Machine Systems", "year": "2016", "pdf": [], "doi": []}, {"id": "661c16658db873efeee3621603fe6bd53eaffac1", "title": "LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition", "year": "2017", "pdf": ["http://eprints.lancs.ac.uk/87884/1/CaoYaoIEEETIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7995118", "http://doi.org/10.1109/TIP.2017.2733200", "https://www.ncbi.nlm.nih.gov/pubmed/28767370", "https://www.wikidata.org/entity/Q38646931"]}, {"id": "5e4ad1f19e88b6dc87000f64b984d8f09abe7baf", "title": "Invariant Spectral Hashing of Image Saliency Graph", "year": "2010", "pdf": ["https://arxiv.org/pdf/1009.3029.pdf"], "doi": []}, {"id": "0fee3b9191dc1cef21f54232a23530cd8169d3b2", "title": "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7837863", "http://doi.org/10.1109/ICDM.2016.0050"]}, {"id": "fb9673f0373ca4c72fe9059648ae618d45fd8c90", "title": "Why Is Facial Occlusion a Challenging Problem", "year": "2009", "pdf": ["http://face.cs.kit.edu/download/publications/ICB_2009_239.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-01793-3_31", "https://publikationen.bibliothek.kit.edu/1000026412/2025667"]}, {"id": "78522d87381d70a919516f97c9dad9480fe064e9", "title": "Margin Based Dimensionality Reduction and Generalization", "year": "2010", "pdf": [], "doi": []}, {"id": "6163381244823241373f6741a282f2c4a868b59c", "title": "Multimodal biometrics for identity documents (MBioID).", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/6163/381244823241373f6741a282f2c4a868b59c.pdf"], "doi": []}, {"id": "95f7dc555d6ee4deaf3e30d4ed4c8a806bccb424", "title": "Feature space locality constraint for kernel based nonlinear discriminant analysis", "year": "2012", "pdf": ["http://nlpr-web.ia.ac.cn/2012papers/gjkw/gk60.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk60.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2012.01.012"]}, {"id": "d22064099b862eec0f430fb62a587dd888d471f3", "title": "Local Discriminant Space Alignment", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344135"]}, {"id": "1c7c477d8b7c4fec273c9edacb8135747a31bd59", "title": "Multimodal Biometric System Using Rank-Level Fusion Approach", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4804708", "http://doi.org/10.1109/TSMCB.2008.2009071", "https://www.ncbi.nlm.nih.gov/pubmed/19336340", "https://www.wikidata.org/entity/Q51843276"]}, {"id": "714947e4d7f79f753c5c44eac701185e37086276", "title": "An Exponential Representation in the API Algorithm for Hidden Markov Models Training", "year": "2005", "pdf": 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"8a5cb84819e8e03dd99d664cf3127eced5fe11c9", "title": "Clustering by differencing potential of data field", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00607-018-0605-x"]}, {"id": "66f8115136a11684e3b95c5aaa1476a871d58a66", "title": "Face Recognition Using Multiple Image View Line Segments Title Face Recognition Using Multiple Image View Line Segments Primary Author(s) Date", "year": "1997", "pdf": ["https://pdfs.semanticscholar.org/66f8/115136a11684e3b95c5aaa1476a871d58a66.pdf"], "doi": []}, {"id": "9a4db91c5af7866af67f5b043cfb448170d13090", "title": "An Investigation of Face and Fingerprint Feature-Fusion Guidelines", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9a4d/b91c5af7866af67f5b043cfb448170d13090.pdf"], "doi": []}, {"id": "668e93e89835ec662d21cf695b7347339ce74c78", "title": "LIKELIHOOD RATIO FUSION WITHIN SCORES OF INDEPENDENT COMPONENT ANALYSIS FEATURES BASED FACE BIOMETRICS VERIFICATION SYSTEMS", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/668e/93e89835ec662d21cf695b7347339ce74c78.pdf"], "doi": []}, {"id": "207e91b23253545c32dfedf71773f5af1dc88057", "title": "Line-based Face Recognition under Varying Pose Title Line-based Face Recognition under Varying Pose Primary Author(s) Date", "year": "1998", "pdf": ["https://pdfs.semanticscholar.org/207e/91b23253545c32dfedf71773f5af1dc88057.pdf"], "doi": []}, {"id": "4ff1ac4e66bc545275c83bc2ef1f3fb8bc207aec", "title": "An MPCA / LDA Based Dimensionality Reduction Algorithm for Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/17d0/b483c3eefde04d948c8013bdcd6704104e5c.pdf"], "doi": []}, {"id": "1b784f1f9b93cbc894aedbb4223928dfc74bda10", "title": "Combination of Warping Robust Elastic Graph Matching and Kernel-Based Projection Discriminant Analysis for Face Recognition", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4303034", "http://doi.org/10.1109/TMM.2007.898933"]}, {"id": 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Kernel Based Neighborhood Discriminant Submanifold Learning for Pattern Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9cde/4e4c1310ffa14fce97bd10d323ea4c46e187.pdf"], "doi": []}, {"id": "3056a5686a404a862807f7aa7c70312bc0225e0e", "title": "Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2014.02.051"]}, {"id": "1befea19da607cb9f797c75c37f84d3a78ffeaf3", "title": "Face recognition based on multi-scale local features", "year": "2012", "pdf": [], "doi": []}, {"id": "594f8f1abe570ee3e9557828d8f43c6c8878a9aa", "title": "A distributed technique for recognition and retrieval of faces with time-varying expressions", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5069908"]}, {"id": "d9327b9621a97244d351b5b93e057f159f24a21e", "title": "Laplacian smoothing transform for face recognition", "year": "2010", "pdf": ["http://www.cil.pku.edu.cn/publications/papers/CS2010gusuicheng.pdf"], "doi": ["http://doi.org/10.1007/s11432-010-4099-1"]}, {"id": "1cb95f013ec3e78acdda6ac6cfdb362ae6a5ceac", "title": "Nonnegative matrix factorization for segmentation analysis", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/1cb9/5f013ec3e78acdda6ac6cfdb362ae6a5ceac.pdf"], "doi": []}, {"id": "0997f69e081bc460923a34e55b525a2aa3c4548a", "title": "Learning locality-constrained collaborative representation for robust face recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1210.1316.pdf"], "doi": []}, {"id": "54fc77b3b3f8ed657437c4048fa6fffea6495b30", "title": "A Survey of Recent Developments in Theoretical Neuroscience and Machine Vision", "year": "2003", "pdf": [], "doi": ["http://doi.org/10.1109/AIPR.2003.1284273", "http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.1284273"]}, {"id": "61dfebbb02dad16b56cd9e6c54b5da3ab41caf1c", "title": "Exploiting Local Class Information in Extreme Learning Machine", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/61df/ebbb02dad16b56cd9e6c54b5da3ab41caf1c.pdf"], "doi": []}, {"id": "ddd6ddd596265d035fba71e3567f168655bf3e73", "title": "Detection Strategies for Face Recognition Using Learning and Evolution", "year": "1998", "pdf": [], "doi": []}, {"id": "457abee61182a320b301d73ecceff00d055f596e", "title": "Face Recognition Using Line Edge Map", "year": "2002", "pdf": ["https://pdfs.semanticscholar.org/457a/bee61182a320b301d73ecceff00d055f596e.pdf"], "doi": []}, {"id": "5821ef33b714c76337e9d1605bba3a578061d1a9", "title": "Feature Extraction Based on Wavelet Moments and Moment Invariants in Machine Vision Systems", "year": "2012", "pdf": ["http://cdn.intechopen.com/pdfs/36481/InTech-Feature_extraction_based_on_wavelet_moments_and_moment_invariants_in_machine_vision_systems.pdf", "https://api.intechopen.com/chapter/pdf-download/36481", "https://cdn.intechopen.com/pdfs-wm/36481.pdf"], "doi": ["https://doi.org/10.5772/33141"]}, {"id": 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["http://doi.org/10.1016/j.patcog.2009.05.008"]}, {"id": "66313d48a6352e731e40450f80a66c64aabae817", "title": "Beyond pixels: exploring new representations and applications for motion analysis", "year": "2009", "pdf": ["http://people.csail.mit.edu/celiu/Thesis/CePhDThesis.pdf", "http://www.cis.rit.edu/~cnspci/references/dip/motion_magnification/liu2009.pdf"], "doi": ["http://hdl.handle.net/1721.1/53293"]}, {"id": "acf70e967b069fa66dd63e85261ae6bda526a749", "title": "Large-scale Clustering using Random Sketching and Validation", "year": "2015", "pdf": [], "doi": []}, {"id": "41de109bca9343691f1d5720df864cdbeeecd9d0", "title": "Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/41de/109bca9343691f1d5720df864cdbeeecd9d0.pdf"], "doi": []}, {"id": "2840f93cd2487ca9510ede0fd2e8ab1af8cec6fe", "title": "Face Recognition Using Double Sparse Local Fisher Discriminant Analysis", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2840/f93cd2487ca9510ede0fd2e8ab1af8cec6fe.pdf"], "doi": []}, {"id": "b3effb96c09eabada94f9105241fe66658fe77b1", "title": "Synchronizing visual and language processing: an effect of object name length on eye movements.", "year": "2000", "pdf": ["https://pdfs.semanticscholar.org/b3ef/fb96c09eabada94f9105241fe66658fe77b1.pdf"], "doi": []}, {"id": "d3fed81785d47fe6f0de68eb378f18fd2beb03e2", "title": "Open-set face recognition by transductive kernel associative memory", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7003856"]}, {"id": "280d59fa99ead5929ebcde85407bba34b1fcfb59", "title": "Online nonnegative matrix factorization with outliers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02634.pdf"], "doi": []}, {"id": "c6a6e517660eb640adadf6e8fe262fe6752939be", "title": "Hierarchical, Generic to Specific Multi-class Object Recognition", "year": "2006", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1699008", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.623", "http://doi.org/10.1109/ICPR.2006.623"]}, {"id": "c2b8b49526e3dd537b641a6495e49a3d1a0ebbf2", "title": "Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2987512"]}, {"id": "b9e82ee9bb4cf016b5ed44b7acd2b42e1a5a6be2", "title": "Face recognition by applying wavelet subband representation and kernel associative memory", "year": "2004", "pdf": ["http://www.cs.bham.ac.uk/~pxt/NC/gi_face.pdf", "https://robotics.nus.edu.sg/sge/journal/sensor%20fusion/TNN-face-recognition-04.pdf", "https://www.researchgate.net/profile/Bailing_Zhang/publication/8328271_Face_recognition_by_applying_wavelet_subband_representation_and_kernel_associative_memory/links/02e7e5229208bbadb3000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1263588", "http://doi.org/10.1109/TNN.2003.820673", "https://www.ncbi.nlm.nih.gov/pubmed/15387257", "https://www.wikidata.org/entity/Q48522266"]}, {"id": "19bcfa4a4ecb3b108d4a3c07d29f8cdcc1e78498", "title": "Face Recognition using SIFT Features", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/19bc/fa4a4ecb3b108d4a3c07d29f8cdcc1e78498.pdf"], "doi": []}, {"id": "25110f89ffe3d3c49945b06771d0e27d4a2761e6", "title": "Local directional gradient pattern: a local descriptor for face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3111-6"]}, {"id": "b42741dfc3a7f7d1d110978323e18fc71e2d67fe", "title": "Improving verification accuracy by synthesis of locally enhanced biometric images and deformable model", "year": "2007", "pdf": ["http://www.csee.wvu.edu/~mayankv/papers/Quality-Deformation.pdf", "https://www.iiitd.edu.in/~richa/papers/Quality-Deformation.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2007.05.009"]}, {"id": "9b74de11c62ce16d0b4509554556e6b6b0d4f5c0", "title": "Bayesian Probabilistic Co-Subspace Addition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/9b74/de11c62ce16d0b4509554556e6b6b0d4f5c0.pdf"], "doi": []}, {"id": "24d62eff4e7361586de40b34883cdf5d16ff40e9", "title": "Interest Point Detection based on Adaptive Ternary Coding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.00031.pdf"], "doi": []}, {"id": "ec5b6f284bb5f23c7c674f53adcd966652cffe58", "title": "Pattern Recognition Versus Verification Systems Analysis Studies for Biometrics Face Based Independent Component Analysis", "year": "2017", "pdf": ["http://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20170201.15.pdf"], "doi": ["https://doi.org/10.11648/j.mlr.20170201.15"]}, {"id": "d2c92121d768cfb966184418205f9d92fb6c9e28", "title": "Principal Sample Analysis for Data Reduction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8588813"]}, {"id": "4689e75bca5a6eb1e3e1d6bcbd78d67ee39bb378", "title": "Projective active shape models for pose-variant image analysis of quasi-planar objects: Application to facial analysis", "year": "2010", "pdf": ["http://www.cistib.org/gestpub/attachments/Projective%20activeshapemodelsforpose-variantimageanalysisofquasi-planarobjects_application%20to%20facial%20analysis.pdf-bf07e986ac16d6a7ec153dc81632e6b2.pdf", "https://pdfs.semanticscholar.org/4689/e75bca5a6eb1e3e1d6bcbd78d67ee39bb378.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2009.07.001"]}, {"id": "163738c0f74ec82ab670a868a051edb732543b6e", "title": "Image alignment with rotation manifolds built on sparse geometric expansions", "year": "2007", "pdf": ["https://infoscience.epfl.ch/record/109422/files/MMSP2007_revised.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4412850", "http://doi.org/10.1109/MMSP.2007.4412850"]}, {"id": "5735c1b752f08a8263ba0d7c52ef5607f177f343", "title": "Kernelization of locality preserving discriminant projection", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7489993"]}, {"id": "8f7ae27df3df63f0f9a0a8d595bd95f4dd6d2589", "title": "Efficient semi-supervised feature selection with noise insensitive trace ratio criterion", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2012.05.031", "http://www.escience.cn/system/file?fileId=69882"]}, {"id": "f4ca1d5132ce75f9ae9eadcfb055410024e6fa36", "title": "Face Recognition Using Multiple Histogram Features in Spatial and Frequency Domains", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7907467", "http://doi.org/10.1109/SITIS.2016.40"]}, {"id": "cfbfcf538c1c9bbf170a524995098fe4aacde374", "title": "Symmetric generalized low rank approximations of matrices", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0000949.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6288042", "http://doi.org/10.1109/ICASSP.2012.6288042"]}, {"id": "263ce02126d9e5f861eff30b3170eddc158018bf", "title": "Face recognition using spectral features", "year": "2007", "pdf": ["http://www.cs.ust.hk/~jamesk/papers/pr07.pdf", "http://www.cse.ust.hk/~jamesk/papers/pr07.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2007.01.023"]}, {"id": "60ec284f67c1012419e5dea508d1bae4bc144bb2", "title": "Curvelet Based Multiresolution Analysis of Face Images for Recognition using Robust Local Binary Pattern Descriptor", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/60ec/284f67c1012419e5dea508d1bae4bc144bb2.pdf"], "doi": []}, {"id": "1bed38bc216f80a50617afa5c6d9cc4b2db72519", "title": "Face recognition using early biologically inspired features", "year": "2013", "pdf": ["http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2014/btas2013_lm_20130805.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6712711", "http://doi.org/10.1109/BTAS.2013.6712711"]}, {"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"], "doi": ["http://doi.org/10.5772/8941"]}, {"id": "143b54525bdda1f83965002616a4e7b5b9f523a3", "title": "A probabilistic patch based image representation using Conditional Random Field model for image classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06797.pdf"], "doi": []}, {"id": "27ae7c8c650ffef74c465640f423d9008014e1ca", "title": "Dimensionality Reduction with Adaptive Approximation", "year": "2007", "pdf": ["https://infoscience.epfl.ch/record/100973/files/Conf-dimred-lts4.pdf?version=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4285062", "http://doi.org/10.1109/ICME.2007.4285062"]}, {"id": "f37ee76a283db27fe65faf17d7b2900c5c0613b9", "title": "Detecting faces and recognizing facial features using color segmentation and 2DPCA in the normalized RG space", "year": "2005", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1529106"]}, {"id": "590c277e8ca10f2c2d7e32eb4a9dc61078a67b96", "title": "Statistical Approaches to Face Recognition a Qualifying Examination Report", "year": "1996", "pdf": ["https://pdfs.semanticscholar.org/590c/277e8ca10f2c2d7e32eb4a9dc61078a67b96.pdf"], "doi": []}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.00116.pdf"], "doi": []}, {"id": "f1d090fcea63d9f9e835c49352a3cd576ec899c1", "title": "Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f1d0/90fcea63d9f9e835c49352a3cd576ec899c1.pdf"], "doi": []}, {"id": "e362aef53fd4e716adacfff443f7639339c0b88e", "title": "Fusing 2DKPCA and 2D(PC)2A for Image Matrix Based Face Recognition with One Training Sample Per Person", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4603728"]}, {"id": "d154df56ac4382a0a81eb24b190bdba240546d87", "title": "Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification", "year": "2006", "pdf": ["http://homepages.ecs.vuw.ac.nz/~mengjie/papers/CS-TR-05-5.pdf", "http://homepages.mcs.vuw.ac.nz/~mengjie/papers/CS-TR-05-5.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2005.07.024"]}, {"id": "1a3f7b9fc451b54110aaebae56c65413c620f6e2", "title": "Multilevel Linear Dimensionality Reduction for Data Analysis using Nearest-Neighbor Graphs \u2217", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1a3f/7b9fc451b54110aaebae56c65413c620f6e2.pdf"], "doi": []}, {"id": "1d0cbbe466647286bd73d41032a418b0e2265e7c", "title": "Fusion of face and gait for human recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1d0c/bbe466647286bd73d41032a418b0e2265e7c.pdf"], "doi": []}, {"id": "7d3f6dd220bec883a44596ddec9b1f0ed4f6aca2", "title": "Linear Regression for Face Recognition", "year": "2010", "pdf": ["http://maths.dur.ac.uk/users/kasper.peeters/pdf/face_recognition/PCA/Togneri2010LinearRegressionFaceRecognition.pdf", "http://staffhome.ecm.uwa.edu.au/~00014742/research/papers/IEEETPAMI_32_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5506092", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.128", "http://doi.org/10.1109/TPAMI.2010.128", "https://www.ncbi.nlm.nih.gov/pubmed/20603520"]}, {"id": "eac95636c09c5335a8f27d9fe26c4192f78c03a8", "title": "Multilevel nonlinear dimensionality reduction for manifold learning", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/eac9/5636c09c5335a8f27d9fe26c4192f78c03a8.pdf"], "doi": []}, {"id": "86b87fa14321f2ca8a4e606cd4de17763dc48ace", "title": "Wavelet packets-based image retrieval", "year": "2002", "pdf": ["http://www.researchgate.net/profile/Saif_Zahir/publication/3948844_Wavelet_packets-based_image_retrieval/links/0fcfd511576f7644c1000000.pdf", "https://pdfs.semanticscholar.org/d9d4/8963328f598481b68a38b7ec3959ad5ff01c.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5745444", "http://doi.org/10.1109/ICASSP.2002.5745444"]}, {"id": "daf4dfc87cac71f1293e5269ade8e7bc7c9c42b9", "title": "Robust face image alignment using structural priors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552889", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552889", "http://doi.org/10.1109/ICME.2016.7552889"]}, {"id": "d8c0a1a5f556eb5c7640133374c87c393f0365d7", "title": "Phosphene object perception employs holistic processing during early visual processing stage.", "year": "2013", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/23489114", "https://doi.org/10.1111/aor.12005"]}, {"id": "9055e7415beb421a861df974147394d09e442bed", "title": "Why the alternative PCA provides better performance for face recognition", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5031454", "http://doi.ieeecomputersociety.org/10.1109/WIAMIS.2009.5031454", "http://doi.org/10.1109/WIAMIS.2009.5031454"]}, {"id": "0f41f1a4bd5141184ee3ed3cf8874eeb396d7862", "title": "Deep Forest: Towards An Alternative to Deep Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/22bf/3e9373c3d49715232976617637f6815524c6.pdf"], "doi": []}, {"id": "4b2b2b496262cc85172c1fa70bfea9dcd2ecf019", "title": "Deep learning and face recognition: the state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1902.03524.pdf"], "doi": []}, {"id": "5d5cd6fa5c41eb9d3d2bab3359b3e5eb60ae194e", "title": "Face Recognition Algorithms", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5d5c/d6fa5c41eb9d3d2bab3359b3e5eb60ae194e.pdf"], "doi": []}, {"id": "64be271fd50fce1cf8434020145a1b6e16f75c1a", "title": "Intrinsic Divergence for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/64be/271fd50fce1cf8434020145a1b6e16f75c1a.pdf"], "doi": []}, {"id": "5d603a725a9ad972d2096eeb33828ac21a8c8319", "title": "A SIMPLE WAY OF EXTRACTING THE FACIAL FEATURE : BETWEEN-THE-EYES", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/5d60/3a725a9ad972d2096eeb33828ac21a8c8319.pdf"], "doi": []}, {"id": "06b7713df895507720ee9cce4eee199531c018b9", "title": "A Grid-based Face Recognition Approach Using General Template Matching", "year": "2005", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4125831", "http://doi.ieeecomputersociety.org/10.1109/SKG.2005.12", "http://doi.org/10.1109/SKG.2005.12"]}, {"id": "d3a793759027f2ca2f2df750a0495ba61e67cdad", "title": "Local and Non-local Graph Regularized Sparse Coding for Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6643723", "http://doi.ieeecomputersociety.org/10.1109/ICIG.2013.105", "http://doi.org/10.1109/ICIG.2013.105"]}, {"id": "30af3e6e0165ebc9a641420d14ca285105550205", "title": "LIFT: A new framework of learning from testing data for face recognition", "year": "2011", "pdf": ["http://www.ele.uri.edu/faculty/he/PDFfiles/NEUCOM-12029.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2010.10.015"]}, {"id": "12c548d99fdc59bd702910af2c3daa17ed43e5d7", "title": "Performance analysis of different matrix decomposition methods on face recognition", "year": "2016", "pdf": ["https://core.ac.uk/download/pdf/72805887.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479981"]}, {"id": 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Structural and Holistic Features", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4782827"]}, {"id": "7113b51f20c01ea5cbe0be04c19588d20f432f9f", "title": "Face Recognition by Discriminative Orthogonal Rank-one Tensor Decomposition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/c72c/483b337fe53265c79fb80da6cb9cb55f3c44.pdf"], "doi": []}, {"id": "eb03f0ddf6e1dbed41bdc075df8a5c6c136fe276", "title": "Class-wise two-dimensional PCA method for face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2016.0135"]}, {"id": "4cc27210cfee0780f8a8f0d07635d33f15eec3bd", "title": "Apprentissage non-supervise\u0301 d'images par hybridation ge\u0301ne\u0301tique d'une chai\u0302ne de Markov cache\u0301e Unsupervised learning of pictures by genetic hibrydization of hidden Markov chain", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/4cc2/7210cfee0780f8a8f0d07635d33f15eec3bd.pdf"], "doi": []}, {"id": 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["https://pdfs.semanticscholar.org/e923/b92b718c44953a708cdde26428496e7489ef.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1007/s13042-013-0226-9"]}, {"id": "4e25cd4e40494aa5073fcfbef7506336b84152f4", "title": "Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/4e25/cd4e40494aa5073fcfbef7506336b84152f4.pdf"], "doi": []}, {"id": "31cd61f05ea86a3eb08e06f1d0c2aa810805282f", "title": "On The Effect of Hyperedge Weights On Hypergraph 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371261", "http://doi.org/10.1109/DICTA.2015.7371261"]}, {"id": "38679355d4cfea3a791005f211aa16e76b2eaa8d", "title": "Title Evolutionary cross-domain discriminative Hessian Eigenmaps", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/433f/a46bf12910fb06ba401f48e23e7c6bc05aa6.pdf"], "doi": []}, {"id": "1abdf07ce2fca11a26222dedd581b68b141af3f2", "title": "Face Recognition Aiding Historical Photographs Indexing Using a Two-Stage Training Scheme and an Enhanced Distance Measure", "year": "2008", "pdf": ["http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi@80/2008/07.17.16.25/doc/lopesAFaceRecognitionHistoricalPhotographs.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4654138", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2008.19", "http://doi.org/10.1109/SIBGRAPI.2008.19"]}, {"id": "68d459ae0aefcdbf8babc47f08249b68d2f13623", "title": "Towards generic image classification: an extensive 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7289412", "http://doi.org/10.1109/TFUZZ.2015.2486803"]}, {"id": "8111eb725133da1f0128967bf8cf488dbd94ce2b", "title": "Audio-visual human recognition using semi-supervised spectral learning and hidden Markov models", "year": "2009", "pdf": ["http://cs.tju.edu.cn/szdw/jsfjs/fengwei/papers/JVLC09/IDVeri_JVLC09.pdf", "http://www.comp.hkbu.edu.hk/~jiazeng/Publications/Selected/Audio-Visual%20Human%20Recognition%20Using%20Semi-Supervised%20Spectral%20Learning%20and%20Hidden%20Markov%20Models.pdf"], "doi": ["http://doi.org/10.1016/j.jvlc.2009.01.009"]}, {"id": "c7c405b6fc95ff2ccf2cb5b59942db4343558fc4", "title": "Pseudo 2 D Hidden Markov Model Based Face Recognition System Using Singular Values Decomposition Coefficients", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/c7c4/05b6fc95ff2ccf2cb5b59942db4343558fc4.pdf"], "doi": []}, {"id": "0c642068ff8e4a437f8c16656b08d1ce3c47d59b", "title": "Development of high-speed and 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"0922e7d583d02f6078e59974a3de4452382ca9dd", "title": "Local approach for face verification in polar frequency domain", "year": "2006", "pdf": ["http://rogerioferis.com/publications/IVC-ZanaEtAl06.pdf", "http://www.cs.ucsb.edu/~mturk/pubs/IVC-ZanaEtAl06.pdf", "https://pdfs.semanticscholar.org/0922/e7d583d02f6078e59974a3de4452382ca9dd.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2006.02.014"]}, {"id": "10261848b16292a5c8c700de6c6c9f692867c9c8", "title": "Cleaning Training-Datasets with Noise-Aware Algorithms", "year": "2006", "pdf": ["http://ccc.inaoep.mx/~hugojair/papers/2006-Escalante-Clearning-Training-Datasets.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4020874", "http://doi.ieeecomputersociety.org/10.1109/ENC.2006.7", "http://doi.org/10.1109/ENC.2006.7"]}, {"id": "21f7980a22300983e1cb0fa02a9c300045a08740", "title": "Methodological improvement on local Gabor face recognition based on feature selection and enhanced Borda count", "year": "2011", "pdf": 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THE POSE INVARIANT FACE RECOGNITION PERFORMANCES USING MULTI-STAGE CLASSIFIER", "year": "2009", "pdf": [], "doi": []}, {"id": "39803a9c075d543e19384d79fb4c36b207892179", "title": "Regression Techniques versus Discriminative Methods for Face Recognition", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/3980/3a9c075d543e19384d79fb4c36b207892179.pdf"], "doi": []}, {"id": "b54886b291273482fdecc3e0dcd8ddce394ad7b3", "title": "Face recognition on FERET face database using LDA and CCA methods", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6043665", "http://doi.org/10.1109/TSP.2011.6043665"]}, {"id": "4961a4efd448e173d26a380d15bc11d7d57b04b3", "title": "Rich Feature Combination for Cost-Based Broad Learning System", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8561274"]}, {"id": "0a5d5f359614a5cb9f42f5b9e2ee6409975703e2", "title": "Multi-view face segmentation using fusion of statistical 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"http://users.ics.aalto.fi/praiko/papers/ijcnn2013.pdf", "http://users.ics.aalto.fi/praiko/papers/nips11Cho.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6706831", "http://doi.org/10.1109/IJCNN.2013.6706831"]}, {"id": "705a24f4e1766a44bbba7cf335f74229ed443c7b", "title": "Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification", "year": "2009", "pdf": ["http://asoto.ing.puc.cl/papers/Final-Daniel-09.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5532353", "http://doi.ieeecomputersociety.org/10.1109/SCCC.2009.21", "http://doi.org/10.1109/SCCC.2009.21"]}, {"id": "3c03d95084ccbe7bf44b6d54151625c68f6e74d0", "title": "Contextual constraints based linear discriminant analysis", "year": "2011", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ZLEI-CCLDA-PRL-11.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2010.12.001"]}, {"id": "5437b5cfb0f8eda908559a16e7ed7d7b64be641b", 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"http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0115967&type=printable"]}, {"id": "559c527d03880269bdf7d51d7edf376abc12c7c8", "title": "Investigation on Different Pre-processing Approaches for Face Recognition System", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5489531"]}, {"id": "a46283e90bcdc0ee35c680411942c90df130f448", "title": "Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/a462/83e90bcdc0ee35c680411942c90df130f448.pdf", "https://www.researchgate.net/profile/George_Papakostas/publication/257351911_Moment-based_local_binary_patterns_A_novel_descriptor_for_invariant_pattern_recognition_applications/links/54aff0330cf28ebe92de32e3.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2012.06.031"]}, {"id": "471185a3950844c0d5058a30cf6cff30ece4b381", "title": "Towards Detection of Glasses in Facial Images", 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Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"]}, {"id": "4f7821d28033be3757ad567e0c4e79a43e1b4a72", "title": "People re-identification across non-overlapping cameras using group features", "year": "2016", "pdf": []}, {"id": "0deca8c53adcc13d8da72050d9a4b638da52264b", "title": "A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf"]}, {"id": "2d6130f043e69849fc0443bb489c5d21f933eddd", "title": "Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach", "year": "2016", "pdf": ["https://arxiv.org/pdf/1606.01609.pdf"]}, {"id": "e255ca660def135eb6ac99127d08df032876d8ab", "title": "Bidirectional ranking for person re-identification", "year": "2013", "pdf": []}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for 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Regions", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.3410.pdf"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"]}, {"id": "b5790f1bc586a77ff2cbea002b7ad2646e32af6b", "title": "Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis", "year": "2015", "pdf": ["http://openaccess.thecvf.com/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Garcia_Person_Re-Identification_Ranking_ICCV_2015_paper.pdf"]}, {"id": "9ff961417d02f94d3e8a2accc591edd6f79cc21c", "title": "Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification", "year": "2018", "pdf": []}, {"id": "dbec415ba09ab66ea5855aaa1267796b75ef7e7b", "title": "Person Re-identification in Appearance Impaired Scenarios", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.00367.pdf"]}, {"id": "6a90a2bf7f275b81596e0dacc78ad2991eac0311", "title": "Multiple View Oriented Matching Algorithm for People Reidentification", "year": "2014", "pdf": []}, {"id": "bad7254ae08f8bf1305e70c7de28374f67f151fd", "title": "R\u00e9-identification de personnes \u00e0 partir des s\u00e9quences vid\u00e9o. (Person re-identification from video sequence)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/bad7/254ae08f8bf1305e70c7de28374f67f151fd.pdf"]}, {"id": "fcb64ef4421cebb80eb33f62c7726f339eb2bb62", "title": "Deep View-Aware Metric Learning for Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/fcb6/4ef4421cebb80eb33f62c7726f339eb2bb62.pdf"]}, {"id": "46638b810bf69023bca41db664b49bc935bcba3c", "title": "Unsupervised Salience Learning for Person Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d586.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhao_Unsupervised_Salience_Learning_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~rzhao/project/salience_cvpr13/zhaoOWcvpr13.pdf"]}, {"id": "32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1", "title": "moM: Mean of Moments Feature for Person Re-identification", "year": "2017", "pdf": 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"Context-Aware Hypergraph Modeling for Re-identification and Summarization", "year": "2016", "pdf": ["http://vision.ece.ucsb.edu/sites/vision.ece.ucsb.edu/files/publications/07312467_0.pdf"]}, {"id": "78fde57462fb68530a49f913c89343da5727580d", "title": "DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Gou_DukeMTMC4ReID_A_Large-Scale_CVPR_2017_paper.pdf", "https://www.ecse.rpi.edu/Homepages/rjradke/papers/dukemtmc4reid.pdf"]}, {"id": "9b976f7bfa636d89510fe5ad7fb7a8057b86a57f", "title": "Feature encoding in band-limited distributed surveillance systems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06423.pdf"]}, {"id": "ee62cff7f027a31c3bd7f313bfdc04e7d79eb04a", "title": "Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion", "year": "2017", "pdf": 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Networks for Fast Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.04179.pdf"]}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": []}, {"id": "6a4dbd2db0e09a4f3aab3d2602db3176f825d8f9", "title": "Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/6a4d/bd2db0e09a4f3aab3d2602db3176f825d8f9.pdf"]}, {"id": "226ecde126cbcefcab78d551be1bbd814738397f", "title": "People re-identification using deep convolutional neural network", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47403/47403.pdf"]}, {"id": "463a1ca5f819af35e71ae47ea0e57293691507d3", "title": "Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines", "year": "2017", "pdf": 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Person Re-Identification", "year": "2019", "pdf": []}, {"id": "140a587914d1e60f636c1a479c4673631ad78d04", "title": "Convolutional covariance features: Conception, integration and performance in person re-identification", "year": "2017", "pdf": []}, {"id": "1e146982a7b088e7a3790d2683484944c3b9dcf7", "title": "Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf"]}, {"id": "25b83cffddff334d78c55db4d67c65b1d8999b2f", "title": "Optimization of Person Re-Identification through Visual Descriptors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/25b8/3cffddff334d78c55db4d67c65b1d8999b2f.pdf"]}, {"id": "51319bb12c67fb5b11cbf2012a7e2059718b52eb", "title": "Local Fisher Discriminant Analysis for Pedestrian Re-identification", "year": "2013", "pdf": 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framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"], "doi": []}, {"id": "830fb48d04609bef50ae7f8f3513ce1b160894c9", "title": "Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8495936", "http://doi.ieeecomputersociety.org/10.1109/WETICE.2018.00046", "http://doi.org/10.1109/WETICE.2018.00046"]}, {"id": "ef7191fd43d120b77d3d367f8a6e11ae38ca5212", "title": "Person reidentification by semisupervised dictionary rectification learning with retraining module", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/60d7/5d32d345c519fa5c0d8d6b6eb62e633a8d13.pdf"], "doi": []}, {"id": "7ba225a614d77efd9bdf66bf74c80dd2da09229a", "title": "Human Semantic Parsing for Person Re-identification", "year": "2018", "pdf": [], "doi": 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"Toward semantic attributes in dictionary learning and non-negative matrix factorization", "year": "2016", "pdf": ["http://mediatum.ub.tum.de/doc/1315864/359237.pdf"]}, {"id": "c5fe40875358a286594b77fa23285fcfb7bda68e", "title": "Face identification using reference-based features with message passing model", "year": "2013", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2012.pdf", "http://cis-linux1.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf", "https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf"]}, {"id": "1d7ecdcb63b20efb68bcc6fd99b1c24aa6508de9", "title": "The Hidden Sides of Names\u2014Face Modeling with First Name Attributes", "year": "2014", "pdf": ["http://web.stanford.edu/~bgirod/pdfs/ChenHuizhongTransPAMISep2014.pdf"]}, {"id": "d6a9ea9b40a7377c91c705f4c7f206a669a9eea2", "title": "Visual Representations for Fine-grained Categorization", "year": "2015", "pdf": 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"98c5dc00bd21a39df1d4411641329bdd6928de8a", "title": "A scalable dual approach to semidefinite metric learning", "year": "2011", "pdf": []}, {"id": "af97a51f56cd6b793cf96692931a8d1ddbe4e3cc", "title": "Learning Semantic Binary Codes by Encoding Attributes for Image Retrieval", "year": "2014", "pdf": []}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"]}, {"id": "3a4f522fa9d2c37aeaed232b39fcbe1b64495134", "title": "Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset", "year": "2015", "pdf": []}, {"id": "48f211a9764f2bf6d6dda4a467008eda5680837a", "title": "Predicting occupation via human clothing and contexts", "year": "2011", "pdf": ["http://www.lv-nus.org/%5C/papers/2011/iccv2011-occupation.pdf"]}, {"id": "59b6ff409ae6f57525faff4b369af85c37a8dd80", "title": "Deep Attribute 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"http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Shankar_Semantic_Transform_Weakly_2013_ICCV_paper.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": "852ff0d410a25ebb7936043a05efe2469c699e4b", "title": "Learning local binary patterns for gender classification on real-world face images", "year": "2012", "pdf": ["http://repository.tudelft.nl/assets/uuid:678436fb-d859-4c4a-8842-f1b4bb5a0fe3/MS-32.590.pdf", "http://www.cin.ufpe.br/~cabm/visao/artigos/Learning%20local%20binary%20patterns%20for%20gender%20classification%20on%20real-world%20face%20images.pdf"]}, 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"f558af209dd4c48e4b2f551b01065a6435c3ef33", "title": "AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f558/af209dd4c48e4b2f551b01065a6435c3ef33.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": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "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": "913961d716a4102d3428224f999295f12438399f", "title": "A review of biometric technology along with trends and prospects", "year": "2014", "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": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"]}, {"id": "15a9f812e781cf85c283f7cf2aa2928b370329c5", "title": "Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval", "year": "2016", "pdf": []}, {"id": "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "title": "Contributions to large-scale learning for image classification. 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Crawler", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/77c1/56969e3b7fbc86432c5238a95679d25ac579.pdf"]}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": []}, {"id": "164d8909f6b7cc9d0a39eb22fe0a9b9bd0698c2f", "title": "Attribute learning using joint human and machine computation", "year": "2012", "pdf": []}, {"id": "8b8728edc536020bc4871dc66b26a191f6658f7c", "title": "Robust gender recognition by exploiting facial attributes dependencies", "year": "2014", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/prl2013.pdf"]}, {"id": "e465f596d73f3d2523dbf8334d29eb93a35f6da0", 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future", "year": "2015", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/face_detection_survey.pdf"]}, {"id": "4568063b7efb66801e67856b3f572069e774ad33", "title": "Correspondence driven adaptation for human profile recognition", "year": "2011", "pdf": ["http://users.eecs.northwestern.edu/~mya671/mypapers/CVPR11_Yang_Zhu_Lv_Yu.pdf", "http://www.dbs.informatik.uni-muenchen.de/~yu_k/cvpr11_0712.pdf"]}, {"id": "8fb611aca3bd8a3a0527ac0f38561a5a9a5b8483", "title": "Human face identification via comparative soft biometrics", "year": "2016", "pdf": ["http://eprints.soton.ac.uk/388765/1/eprint.pdf"]}, {"id": "4b7f21b48c7e0dc7334e36108f558d54642c17c0", "title": "Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926689.pdf"]}, {"id": "9fb90b8fc2439e89c83a661ba4a5ff0b4100252c", "title": "Multi-task Learning by Maximizing Statistical Dependence", "year": "2018", 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["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"id": "7789252476073a77e80fb0668eecf94a99b81d8d", "title": "Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09580.pdf"], "doi": []}, {"id": "913961d716a4102d3428224f999295f12438399f", "title": "A review of biometric technology along with trends and prospects", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2014.01.016"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5728825", "http://doi.org/10.1109/TPAMI.2011.48", "https://www.ncbi.nlm.nih.gov/pubmed/21383395", "https://www.wikidata.org/entity/Q34169148"]}, {"id": "6cddc7e24c0581c50adef92d01bb3c73d8b80b41", "title": "Face Verification Using the LARK Representation", "year": "2011", "pdf": ["https://users.soe.ucsc.edu/~milanfar/publications/journal/TIFS_Final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5872024", "http://doi.org/10.1109/TIFS.2011.2159205"]}, {"id": "ca5e9973a4494c608548f639eb9a391f6235d4f0", "title": "Robust RGB-D Face Recognition Using Attribute-Aware Loss", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.09847.pdf"], "doi": []}, {"id": "15a9f812e781cf85c283f7cf2aa2928b370329c5", "title": "Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7206599", "http://doi.org/10.1109/TPAMI.2015.2469281", "https://www.ncbi.nlm.nih.gov/pubmed/26959678", "https://www.wikidata.org/entity/Q38395003"]}, {"id": "c5ecbc343f26b7051bb084b10b74eeb12b39fd15", "title": "Contributions to large-scale learning for image classification. 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["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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5543228", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2010.5543228", "http://doi.org/10.1109/CVPRW.2010.5543228"]}, {"id": "1da83903c8d476c64c14d6851c85060411830129", "title": "Iterated Support Vector Machines for Distance Metric Learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.00363.pdf"], "doi": []}, {"id": "06560d5721ecc487a4d70905a485e22c9542a522", "title": "Deep Facial Attribute Detection in the Wild: From General to Specific", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0656/0d5721ecc487a4d70905a485e22c9542a522.pdf"], "doi": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903705", "http://doi.org/10.1109/TPAMI.2017.2695183", "https://www.ncbi.nlm.nih.gov/pubmed/28436844", "https://www.wikidata.org/entity/Q47874946"]}, {"id": "2d71e0464a55ef2f424017ce91a6bcc6fd83f6c3", "title": "A Survey on : Image Process using Two-Stage Crawler", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/77c1/56969e3b7fbc86432c5238a95679d25ac579.pdf"], "doi": []}, {"id": "e476cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf", "title": "Robust Kernel Representation With Statistical Local Features for Face Recognition", "year": "2013", "pdf": ["http://www4.comp.polyu.edu.hk/~cslzhang/paper/RKR-TNN.pdf", "https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", 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"title": "Towards open-set face recognition using hashing functions", "year": "2017", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2017_IJCB.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272751", "http://doi.org/10.1109/BTAS.2017.8272751"]}, {"id": "359b4a4c6cb58c8ab5e8eaaed0e8562c8c43a0f9", "title": "A modified kernel clustering method with multiple factors", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/s10044-014-0377-7"]}, {"id": "e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc", "title": "Model Semantic Relations with Extended Attributes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977153", "http://doi.org/10.1109/ICPR.2014.440"]}, {"id": "16c884be18016cc07aec0ef7e914622a1a9fb59d", "title": "Exploiting Multimodal Data for Image Understanding. 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"57c270a9f468f7129643852945cf3562cbb76e07", "title": "Multi-label convolutional neural network based pedestrian attribute classification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.07.004"]}, {"id": "bfd383f309b18c2934bb802eac0783b145686b77", "title": "A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/bfd3/83f309b18c2934bb802eac0783b145686b77.pdf"], "doi": []}, {"id": "556545eec370b9d300fc044a1aa63fc44fd79b0f", "title": "Comparative object similarity for improved recognition with few or no examples", "year": "2010", "pdf": ["http://dhoiem.cs.illinois.edu/publications/cvpr2010_gangwang.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5539955", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2010.5539955", "http://doi.org/10.1109/CVPR.2010.5539955"]}, {"id": "15e12d5c4d80a2b6f4d957a3ffd130564e9bab3a", "title": "2D-3D face recognition via 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Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411229", "http://doi.org/10.1109/ICB2018.2018.00045", "https://doi.org/10.1109/ICB2018.2018.00045"]}, {"id": "53509017a25ac074b5010bb1cdba293cdf399e9b", "title": "Human Action Recognition with Attribute Regularization", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327994", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.41", "http://doi.org/10.1109/AVSS.2012.41"]}, {"id": 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"http://lear.inrialpes.fr/pubs/2010/GMVS10b/paper.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01053.pdf", "https://hal.inria.fr/inria-00522185/file/paper.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/guillaumin10tr.pdf", "https://staff.fnwi.uva.nl/t.e.j.mensink/publications/guillaumin12ijcv.pdf"], "doi": ["http://doi.org/10.1007/s11263-011-0447-x"]}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8571474"]}, {"id": "09d8c49197a885299bd18fdce9764ed66187b83d", "title": "How to predict the global instantaneous feeling induced by a facial picture", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1016/j.image.2015.04.002", "https://hal.archives-ouvertes.fr/hal-01198718/document"]}, {"id": "133f01aec1534604d184d56de866a4bd531dac87", "title": "Effective Unconstrained 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"https://filebox.ece.vt.edu/~parikh/Publications/TurakhiaParikh_attribute_dominance_ICCV_2013.pdf", "https://www.cc.gatech.edu/~parikh/Publications/TurakhiaParikh_attribute_dominance_ICCV_2013.pdf", "https://www.cc.gatech.edu/~parikh/Publications/TurakhiaParikh_attribute_dominance_ICCV_2013_poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751262", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.155", "http://doi.org/10.1109/ICCV.2013.155"]}, {"id": "71dcbca34d71bda0bc41c33c04d2c1a740274feb", "title": "An Innovative Mean Approach for Plastic Surgery Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/71dc/bca34d71bda0bc41c33c04d2c1a740274feb.pdf"], "doi": []}, {"id": "c4f1fcd0a5cdaad8b920ee8188a8557b6086c1a4", "title": "The Ignorant Led by the Blind: A Hybrid Human\u2013Machine Vision System for Fine-Grained Categorization", "year": "2014", "pdf": ["http://vision.cornell.edu/se3/wp-content/uploads/2015/02/ijcv2014.pdf"], 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"http://www.cs.toronto.edu/~law/publications/CVPR/2014/fantope_regularization.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909534", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.138", "http://doi.org/10.1109/CVPR.2014.138", "https://hal.archives-ouvertes.fr/hal-01094074/document"]}, {"id": "5ad4e9f947c1653c247d418f05dad758a3f9277b", "title": "WLFDB : Weakly Labeled Face Databases", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5ad4/e9f947c1653c247d418f05dad758a3f9277b.pdf"], "doi": []}, {"id": "52a9f957f776c8b3d913cfcd20452b9e31c27845", "title": "OPML: A one-pass closed-form solution for online metric learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1609.09178.pdf"], "doi": []}, {"id": "0273414ba7d56ab9ff894959b9d46e4b2fef7fd0", "title": "Photographic home styles in Congress: a computer vision approach", "year": 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Time: Controlling Temporal Performance in Crowdsourcing Competitions", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/390e/212d4a874d8d2256e55fe0dee9193e4c376a.pdf"], "doi": []}, {"id": "318a81acdd15a0ab2f706b5f53ee9d4d5d86237f", "title": "Multi-label learning: a review of the state of the art and ongoing research", "year": "2014", "pdf": ["https://www.researchgate.net/profile/Sebastian_Ventura/publication/267154292_Multilabel_Learning_A_Review_of_the_State_of_The_Art_and_Ongoing_Research/links/54a6bb5f0cf257a6360a918e.pdf"], "doi": ["http://doi.org/10.1002/widm.1139"]}, {"id": "3eec9e8d5051e84624ea7e009a8947403dee99d1", "title": "Material Recognition Meets 3D Reconstruction: Novel Tools for Efficient, Automatic Acquisition Systems", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/3eec/9e8d5051e84624ea7e009a8947403dee99d1.pdf"], "doi": []}, {"id": "d98a36081a434451184fa4becb59bf5ec55f3a1e", "title": "Computational face reader based on facial attribute estimation", 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"title": "Attribute learning for image/video understanding", "year": "2015", "pdf": [], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301793", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301793", "http://doi.org/10.1109/AVSS.2015.7301793"]}, {"id": "43b8b5eeb4869372ef896ca2d1e6010552cdc4d4", "title": "Large-scale Supervised Hierarchical Feature Learning for Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.1490.pdf"], "doi": []}, {"id": "18a849b1f336e3c3b7c0ee311c9ccde582d7214f", "title": "Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling", 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Networks", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.02686.pdf"]}, {"id": "e7906370eae8655fb69844ae1a3d986c9f37c902", "title": "Face recognition using Deep Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e790/6370eae8655fb69844ae1a3d986c9f37c902.pdf"]}, {"id": "0b07e4341303272b26be11262feb66c0a4412c43", "title": "Deep Learned Cumulative Attribute Regression", "year": "2018", "pdf": []}, {"id": "fd0a1a2ecf69a6c1a6efcb18b8f23e4d5402f601", "title": "ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.02095.pdf"]}, {"id": "d118454b38f3f0d4dd48d7775ea3683708b33325", "title": "Person Identification from Drones by Humans: Insights from Cognitive Psychology", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d118/454b38f3f0d4dd48d7775ea3683708b33325.pdf"]}, {"id": "1d2639042b72191c04f0b7928313b8dc2bd4184f", "title": 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with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"]}, {"id": "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "title": "Efficient and Deep Person Re-identification Using Multi-level Similarity", "year": "2018", "pdf": []}, {"id": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"]}, {"id": "88c5baffa5522ea62ff5d5c41036b92e30d7e3c9", "title": "Who is who at different cameras. People re-identification using Depth Cameras", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/88c5/baffa5522ea62ff5d5c41036b92e30d7e3c9.pdf"]}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"]}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": []}, {"id": "71dc03d6c837ca9ec1334a63bea24d836de076a0", "title": "Complex Events Recognition under Uncertainty in a Sensor Network.", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.0085.pdf"]}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"]}, {"id": "b856c0eb039effce7da9ff45c3f5987f18928bef", "title": "Pedestrian Alignment Network for Large-scale Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00408.pdf"]}, {"id": "d740a9d099a86e234084234af09c060d736f764c", "title": "Improved Person Re-Identification Using Statistical Approximation", "year": "2012", "pdf": []}, {"id": "1afe5d933b58b4dd982a559cc6ec1d17959239de", "title": "Enhanced canonical correlation analysis with local density for cross-domain visual classification", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001757.pdf"]}, {"id": "7a4b4719554ddc46bc962a55f88a9ae475d42097", "title": "Discriminative Image Descriptors for Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7a4b/4719554ddc46bc962a55f88a9ae475d42097.pdf"]}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"]}, {"id": "2eb14814511d93fcd01e81f4f838647eb10af3be", "title": "Dense appearance modeling and efficient learning of camera transitions for person re-identification", "year": "2012", "pdf": ["http://lrs.icg.tugraz.at/pubs/hirzer_icip_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_icip_2012.pdf"]}, {"id": "1bfe59be5b42d6b7257da4b35a408239c01ab79d", "title": "Adversarially Occluded Samples for Person Re-identification", "year": "2018", "pdf": []}, {"id": "451d777ee33833a3b5eb6ba5292fae162c6d265f", "title": "Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/slawekSMCBrownian2016.pdf"]}, {"id": "69ee78388e0f40941496ab92efe3e0fa065ad22e", "title": "Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69ee/78388e0f40941496ab92efe3e0fa065ad22e.pdf"]}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"]}, {"id": "6f0417ed89e3750a3b39d0bd7de2b4d12879c2a4", "title": "Retrieval system for person re-identification", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/48718/48718.pdf"]}, {"id": "0a6a173a1d1d36285bae97f98f4b901067d40097", "title": "Similarity learning on an explicit polynomial kernel feature map for person re-identification", "year": "2015", "pdf": ["http://research.microsoft.com/en-us/um/people/jingdw/pubs/CVPR15-PersonReID.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050_ext.pdf"]}, {"id": "9caa7f125d3e861450bc3685699fceeaebea04d8", "title": "Designing Video Surveillance Systems as Services", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9caa/7f125d3e861450bc3685699fceeaebea04d8.pdf"]}, {"id": "5bb14bba7510c590164007d7e3aa1bf88cb3faec", "title": "Learning to Match Appearances by Correlations in a Covariance Metric Space", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/fa15/ccb62519750289706fee4eaaa13cad88aa28.pdf"]}, {"id": "0bc7d8e269a8c8018a7cb120ff25adf02d45c7ed", "title": "Exploiting dissimilarity representations for person re-identification", "year": "2011", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_SIMBAD2011.pdf", "http://videolectures.net/site/normal_dl/tag=628328/simbad2011_satta_dissimilarity_01.pdf"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"]}, {"id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"]}, {"id": "5cd2b28b9e88b2be0b8c9d9ddce8440656477d1c", "title": "Person Re-Identification with Deep Features and Transfer Learning", "year": "2017", "pdf": []}, {"id": "7c1f47ca50a8a55f93bf69791d9df2f994019758", "title": "Re-identification and semantic retrieval of pedestrians in video surveillance scenarios", "year": "2016", "pdf": ["http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf"]}, {"id": "7c8e64f20b58ddd1fc0e9c972c3eb0fe35b40a6b", "title": "Multiple-shot person re-identification by chromatic and epitomic analyses", "year": "2012", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PRL2012Cristani.pdf"]}, {"id": "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "title": "Attribute-restricted latent topic model for person re-identification", "year": "2012", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/person_reidentification_pr12.pdf", "https://www.ece.nus.edu.sg/stfpage/eleqiz/publications/pdf/person_reidentification_pr12.pdf"]}, {"id": "fe40be62a131deaf62a5a313e2842234845ee200", "title": "Dissimilarity-based people re-identification and search for intelligent video surveillance", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fe40/be62a131deaf62a5a313e2842234845ee200.pdf"]}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"]}, {"id": "2170636d5d31eb461618b5da10f4473c67e74e73", "title": "Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"]}, {"id": "95aa80cf672771730393e1d7d263ab6f6d6e535d", "title": "Learning articulated body models for people re-identification", "year": "2013", "pdf": []}, {"id": "1de96fa00e498b425a34a85b7fb491431d00a41c", "title": "Appearance features in Encoding Color Space for visual surveillance", "year": "2018", "pdf": []}, {"id": "8e4508e86d838356c9ec4a7011fda5cd1d8d35a3", "title": "Finding suspects in multiple cameras for improved railway protection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e45/08e86d838356c9ec4a7011fda5cd1d8d35a3.pdf"]}, {"id": "998bb8720fe25c6b38fbc70b1142fafde46e39e5", "title": "Joint Feature and Similarity Deep Learning for Vehicle Re-identification", "year": "2018", "pdf": []}, {"id": "9836ebbef8ba972af323e20ba7667e2d03105895", "title": "A Neuromorphic Person Re-Identification Framework for Video Surveillance", "year": "2017", "pdf": ["http://dspace.nitrkl.ac.in/dspace/bitstream/2080/2759/1/IEEEAccess_V5_6471-6482_ANanda.pdf"]}, {"id": "5c9c153f705a02e157adcf49dccf4f1eeb70cf93", "title": "Learning Appearance Transfer for Person Re-identification", "year": "2014", "pdf": ["http://www.cs.technion.ac.il/~tammya/Publications/AvrahamLindenbaumREIDchapter2014.pdf"]}, {"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"]}, {"id": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"]}, {"id": "88dddb8ea1bc1ad08598e232a67f2bbfbcf3d6ba", "title": "Shinpuhkan2014: A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras", "year": "2014", "pdf": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"]}, {"id": "ec6340adb88d8443343e0f66f846a8c8c79ebb6f", "title": "Person Re-identification Using Spatial Covariance Regions of Human Body Parts", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Francois_Bremond/publication/224181516_Person_Re-identification_Using_Spatial_Covariance_Regions_of_Human_Body_Parts/links/00b495214e3ee02970000000.pdf"]}, {"id": "0f25aa473e808de72c6975fdb1e3e65180a38c05", "title": "Bag of Soft Biometrics for Person Identification New trends and challenges", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0f25/aa473e808de72c6975fdb1e3e65180a38c05.pdf"]}, {"id": "6a167375410115d83be377de1f9714929f301b00", "title": "End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification", "year": "2017", "pdf": []}, {"id": "b63411ed70ba315b87a716e1809faea48e70a982", "title": "A Survey on Object Detect , Track and Identify Using Video Surveillance", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b634/11ed70ba315b87a716e1809faea48e70a982.pdf"]}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"]}, {"id": "a743127b44397b7a017a65a7ad52d0d7ccb4db93", "title": "Domain Adaptation Through Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"]}, {"id": "816c1925de9e8557fa70ec67d0ff71a5059eb931", "title": "Person Re-identification by Articulated Appearance Matching", "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/CristaniChapterRe-IDCustom2013.pdf"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"]}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": []}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"]}, {"id": "e0cac58f3855cd84b9d28f508b2f7711e0d7e44a", "title": "3 A : A PERSON RE-IDENTIFICATION SYSTEM VIA ATTRIBUTE AUGMENTATION AND AGGREGATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ca/c58f3855cd84b9d28f508b2f7711e0d7e44a.pdf"]}, {"id": "e10a257f1daf279e55f17f273a1b557141953ce2", "title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"]}, {"id": "37a1937691f69fc4b07fc5229c4d2756d2cf41f1", "title": "A Pedestrian Re-Identification Method Based on Multi-Feature Fusion", "year": "2017", "pdf": []}, {"id": "260081528f19f6f7e8e5ae16a776b62ad8c2ed0d", "title": "An Agent Based WCET Analysis for Top-View Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2600/81528f19f6f7e8e5ae16a776b62ad8c2ed0d.pdf"]}, {"id": "0195bf2b913dbc527fb081674f480ecd8a799c34", "title": "Parametric Local Multi-modal Metric Learning for Person Re-identification", "year": "2014", "pdf": []}, {"id": "f2efc85f9e20840c591b4590fd9ed202f727546a", "title": "Distributed signature fusion for person re-identification", "year": "2012", "pdf": []}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06086.pdf"]}, {"id": "d737048ceaa81eb59ef2e4cebe2faffe1f19da8f", "title": "Characterizing Humans on Riemannian Manifolds", "year": "2013", "pdf": []}, {"id": "6b21214562e3cdb3b7b9027f0f88918f6ee24c52", "title": "GDMN: Group Decision-Making Network for Person Re-Identification", "year": "2018", "pdf": []}, {"id": "360a590703542f2ba345b432416398b6dad9e3fb", "title": "Multimodal Person Reidentification Using RGB-D Cameras", "year": "2016", "pdf": ["https://pralab.diee.unica.it/sites/default/files/Pala_IEEE_TCSVT2015.pdf"]}, {"id": "c635564fe2f7d91b578bd6959904982aaa61234d", "title": "Deep Multi-Task Network for Learning Person Identity and Attributes", "year": "2018", "pdf": []}, {"id": "3f95710d17556d5064bda289dea5adbce2777a59", "title": "Eliminating Background-bias for Robust Person Re-identification", "year": "2018", "pdf": []}, {"id": "e6ffa1c305512e0d4efb9a88cfec8294ef476e06", "title": "Kernel Partial Least Squares for person re-identification", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/07/egpaper_for_DoubleBlindReview.pdf"]}, {"id": "1bea531e8271202462c7907f60a8458fa5aec00d", "title": "Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"]}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "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/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"]}, {"id": "3d7fce66c1880f4b29171e415cfad57d8b96ced2", "title": "Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3d7f/ce66c1880f4b29171e415cfad57d8b96ced2.pdf"]}, {"id": "6c518aabdbba2c073eab6a3bb4120023851e524c", "title": "Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c51/8aabdbba2c073eab6a3bb4120023851e524c.pdf"]}, {"id": "2868622003cbfd5cfc817cb57896298c0858b166", "title": "BIFOCAL STEREO FOR MULTIPATH PERSON RE-IDENTIFICATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2868/622003cbfd5cfc817cb57896298c0858b166.pdf"]}, {"id": "63ac85ec1bff6009bb36f0b24ef189438836bc91", "title": "Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.01595.pdf"]}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": []}, {"id": "b39caa8b3f8d2da981285a0115a61a66b5f50b93", "title": "Towards Open-World Person Re-Identification by One-Shot Group-Based Verification", "year": "2016", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Person_VeriReId-preprint.pdf", "https://www.computer.org/csdl/trans/tp/2016/03/07398274.pdf"]}, {"id": "3454e7bc68713f03000e6eeaab67d6401ba24531", "title": "Transferring attributes for person re-identification", "year": "2015", "pdf": []}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": []}, {"id": "160ab0e879f4451fa4df88cd567508150894ba9d", "title": "Cross Dataset Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/160a/b0e879f4451fa4df88cd567508150894ba9d.pdf"]}, {"id": "e255ca660def135eb6ac99127d08df032876d8ab", "title": "Bidirectional ranking for person re-identification", "year": "2013", "pdf": []}, {"id": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"]}, {"id": "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "title": "Re-identifying People Based on Indexing Structure and Manifold Appearance Modeling", "year": "2013", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2013_SIBGRAPI.pdf"]}, {"id": "c038186138b76a625500ff84c9dadb18aae29f1c", "title": "Learning Implicit Transfer for Person Re-identification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c038/186138b76a625500ff84c9dadb18aae29f1c.pdf"]}, {"id": "21fc82d819d2a1a70465471be67260a1d6c0982e", "title": "Kernelized random KISS metric learning for person re-identification", "year": "2018", "pdf": []}, {"id": "3e9ab40e6e23f09d16c852b74d40264067ac6abc", "title": "Learning Locally-Adaptive Decision Functions for Person Verification", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/zhenli_cvpr13-camera-check.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d610.pdf", "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": "ac9feef881ed00a5a5e53bddb88f135a9cffe048", "title": "A general method for appearance-based people search based on textual queries", "year": "2012", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_REID2012.pdf", "http://www.researchgate.net/profile/Riccardo_Satta/publication/260637131_A_general_method_for_appearance-based_people_search_based_on_textual_queries/links/0f317531de98254711000000.pdf"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.pdf"]}, {"id": "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "title": "Feedback mechanism based iterative metric learning for person re-identification", "year": "2018", "pdf": []}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"]}, {"id": "2aacfcdc5d06c86901852f7b666d17e97822ba23", "title": "BiCov: a novel image representation for person re-identification and face verification", "year": "2012", "pdf": ["http://www.bmva.org/bmvc/2012/BMVC/paper057/abstract057.pdf", "http://www.bmva.org/bmvc/2012/BMVC/paper057/paper057.pdf", "http://www.jdl.ac.cn/user/bpma/homepage/Paper/BMVC2012_BiCov%20a%20novel%20image%20representation%20for%20person%20re-identification%20and%20face%20verification.pdf"]}, {"id": "ce51d6533f4ef7f2c7dc417342b7e72211c4c516", "title": "Human Gait Recognition using Deep Neural Networks", "year": "2016", "pdf": []}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"]}, {"id": "47022785c35735a242dbacd4f1f1bb73628493ea", "title": "Person Retrieval Based on Viewpoint Saliency Prior", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4702/2785c35735a242dbacd4f1f1bb73628493ea.pdf"]}, {"id": "5a08b451b0397782d81edb5b614bb2a523c6be98", "title": "Learning Correspondence Structures for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06931.pdf"]}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"]}, {"id": "e4fbd2f5b2068016aba3f3ef6f9bffd695b3a729", "title": "Exploiting Gaussian mixture importance for person re-identification", "year": "2017", "pdf": []}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"]}, {"id": "095251493ac774df0a737bb8023cffd036edccd0", "title": "Person Re-identification using prototype formation", "year": "2014", "pdf": []}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"]}, {"id": "7c0ffae3acb0fd0a14ff66b6d474229aa16c53ab", "title": "Covariance Descriptor Multiple Object Tracking and Re-identification with Colorspace Evaluation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7c0f/fae3acb0fd0a14ff66b6d474229aa16c53ab.pdf"]}, {"id": "15e6e1551ce9a4094c57db70985e420e57c6997a", "title": "Asymmetric cross-view dictionary learning for person re-identification", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001228.pdf"]}, {"id": "1c0319d67707dd7dde76e47668e852e74692df30", "title": "Human Re-identification Through a Video Camera Network. (R\u00e9-identification de personne dans un r\u00e9seau de cameras vid\u00e9o)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1c03/19d67707dd7dde76e47668e852e74692df30.pdf"]}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.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": "ad34d0da2a9f15bd45f8193e10838ae7deb9ead6", "title": "Predominant color name indexing structure for person re-identification", "year": "2016", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2016_ICIP_Prates.pdf"]}, {"id": "e307c6635472d3d1e512af6e20f2e56c95937bb7", "title": "Semi-Supervised Bayesian Attribute Learning for Person Re-Identification", "year": "2018", "pdf": []}, {"id": "514273063cebe911f0b628d012e9553129181996", "title": "Distributed Implementation for Person Re-Identification", "year": "2015", "pdf": []}, {"id": "688680d9902f688b9ac2d47c399ceebd1014d785", "title": "GIS-supported people tracking re-acquisition in a multi-camera environment", "year": "2014", "pdf": ["http://www.iti.gr/iti/files/document/publications/MUSESUAN_PAPER_7.pdf"]}, {"id": "140a587914d1e60f636c1a479c4673631ad78d04", "title": "Convolutional covariance features: Conception, integration and performance in person re-identification", "year": "2017", "pdf": []}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": []}, {"id": "2f43233c1c165f225bb002874dac967736525d85", "title": "Transitive Re-identification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bb6f/88501d21081387543aa15856e559c59ca725.pdf"]}, {"id": "f34fdcaba3ab1c2533a00b10d83263af5d488e8d", "title": "Multi-Pose Learning based Head-Shoulder Re-identification", "year": "2018", "pdf": []}, {"id": "7557e81c1189f0ef9643519e0664d60baed51721", "title": "Robust and Efficient Graph Correspondence Transfer for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06323.pdf"]}, {"id": "a9351c53346be32b7d6e0e80a93f2e383fe85eae", "title": "Relevance Metric Learning for Person Re-identification by Exploiting Global Similarities", "year": "2014", "pdf": []}, {"id": "5a603ab4b6353fc244361930c28723b3bc091f4b", "title": "Deep Feature Learning with Relative Distance Comparison for Person Re-identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.03622.pdf"]}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"]}, {"id": "830fb48d04609bef50ae7f8f3513ce1b160894c9", "title": "Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems", "year": "2018", "pdf": []}, {"id": "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "title": "Person Re-Identification by Robust Canonical Correlation Analysis", "year": "2015", "pdf": []}, {"id": "b1ffa7a926e129f8dccdd6f258fea034cbee9160", "title": "Minimizing hallucination in histogram of Oriented Gradients", "year": "2015", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/javierAVSS2015.pdf"]}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"]}, {"id": "cd041e47807124d2ee9e88cfdfb47491da8c2b13", "title": "Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cd04/1e47807124d2ee9e88cfdfb47491da8c2b13.pdf"]}, {"id": "708a55d65568faf8158417ddfb79e728b2b28f86", "title": "3D Body Model Construction and Matching for Real Time People Re-Identification", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/708a/55d65568faf8158417ddfb79e728b2b28f86.pdf"]}, {"id": "a05a770bb2b7778e195a578006482926dfc1af82", "title": "Learning to Recognize Pedestrian Attribute", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.00901.pdf"]}, {"id": "61ab9bf00e444d12816886da0d68b833c47c152e", "title": "A coarse-to-fine deep learning for person re-identification", "year": "2016", "pdf": []}, {"id": "1e83e2abcb258cd62b160e3f31a490a6bc042e83", "title": "Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02492.pdf"]}, {"id": "d008e8662b7e482b88e6dee7c50bd939d28e7628", "title": "People detection, tracking and re-identification through a video camera network. (D\u00e9tection, suivi et r\u00e9-identification de personnes \u00e0 travers un r\u00e9seau de cam\u00e9ra vid\u00e9o)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d008/e8662b7e482b88e6dee7c50bd939d28e7628.pdf"]}, {"id": "487668cc36443a67378f253afe05a550eda2c4f1", "title": "Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1607.00417.pdf"]}, {"id": "05e3167206bc440d5aacf2256fd2e2e421b0808c", "title": "PEOPLE DETECTION AND RE-IDENTIFICATION FOR MULTI SURVEILLANCE CAMERAS", "year": "2012", "pdf": []}, {"id": "212f6bd7163e7175eec7335be8d62249eaaccacc", "title": "Fusion of spatially constrained attributes with kernelized ranking for person re-identification", "year": "2015", "pdf": []}, {"id": "226ecde126cbcefcab78d551be1bbd814738397f", "title": "People re-identification using deep convolutional neural network", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/47403/47403.pdf"]}, {"id": "2c4dd7d5ec500f180cc8301d96389a81d3a99c65", "title": "Integrated Global-Local Metric Learning for Person Re-identification", "year": "2017", "pdf": ["https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926655.pdf"]}, {"id": "d8a3dbeb3e262d873d5c01c2d9af7302fbc86fcb", "title": "Hessian Regularized Distance Metric Learning for People Re-Identification", "year": "2019", "pdf": []}, {"id": "dbb7b563e84903dad4953a8e9f23e3c54c6d7e78", "title": "Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.00983.pdf"]}, {"id": "16e577820999e584c787ec611f55746cf9147518", "title": "Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs", "year": "2015", "pdf": ["http://www.cs.jhu.edu/~andyjhma/DAPRIDfinal.pdf"]}, {"id": "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "title": "Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.01890.pdf"]}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"]}, {"id": "07db2bec3691535ad9d8525b4cd0f230ddc6b384", "title": "Covariance based person re-identification using spectral matching", "year": "2014", "pdf": []}, {"id": "2c3b31284e8ed00a473338be011570967cc15958", "title": "Re-Identification in the Function Space of Feature Warps", "year": "2015", "pdf": ["http://cs-people.bu.edu/dasabir/papers/PAMI14-Reid.pdf", "http://cs-people.bu.edu/dasabir/papers/Supplementary-PAMI2014-Reid.pdf", "http://www.ece.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~adas/cv_rs/CurrentResDescription_Long.pdf", "http://www.ee.ucr.edu/~amitrc/publications/PAMI14-Reid.pdf", "http://www.ee.ucr.edu/~amitrc/publications/Supplementary-PAMI2014-Reid.pdf"]}, {"id": "1a3bd11734742234ed8b12bf6221f2569b2a59db", "title": "Bagging based metric learning for person re-identification", "year": "2014", "pdf": []}, {"id": "0063b44da282eec78045ab59d2debbf61959a4a4", "title": "Improving person re-identification by viewpoint cues", "year": "2014", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/bak-avss2014.pdf", "https://hal.archives-ouvertes.fr/hal-01004390/file/avss2014.pdf"]}, {"id": "6752b59da83c03e64c73f9248a67304713b6efa9", "title": "Chapter 3 Re-identification by Covariance Descriptors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6752/b59da83c03e64c73f9248a67304713b6efa9.pdf"]}, {"id": "091b4ad74ac5bec206604673506b19838d6a0c52", "title": "Person Re-identification by Saliency Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/091b/4ad74ac5bec206604673506b19838d6a0c52.pdf"]}, {"id": "51319bb12c67fb5b11cbf2012a7e2059718b52eb", "title": "Local Fisher Discriminant Analysis for Pedestrian Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d318.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Pedagadi_Local_Fisher_Discriminant_2013_CVPR_paper.pdf"]}, {"id": "21e880907053301b621d318a4b81dbe1b51c3aad", "title": "A Novel Visual Word Co-occurrence Model for Person Re-identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.6532.pdf"]}, {"id": "e79aaa36b68cb9e14ab4a6a66028dcb4c79e8681", "title": "Coupled metric learning for single-shot versus single-shot person reidentification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/e79a/aa36b68cb9e14ab4a6a66028dcb4c79e8681.pdf"]}, {"id": "35692e80fa2fc17a1d37a40b3d4ffca28a1bcc7b", "title": "Appearance-based people recognition by local dissimilarity representations", "year": "2012", "pdf": []}, {"id": "70e90b9df5b8617ef6636c5492db727f9d48d0ec", "title": "People Search with Textual Queries About Clothing Appearance Attributes", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/70e9/0b9df5b8617ef6636c5492db727f9d48d0ec.pdf"]}, {"id": "6f90c0330a54d836f63d3b8e608193d26335dc71", "title": "Kernel Hierarchical PCA for person re-identification", "year": "2016", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/07/kernelHPCA.pdf", "http://www.ssig.dcc.ufmg.br/wp-content/uploads/2016/09/Kernel_HPCA_final.pdf"]}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": []}, {"id": "83c19722450e8f7dcb89dabb38265f19efafba27", "title": "A framework with updateable joint images re-ranking for Person Re-identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02983.pdf"]}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"]}, {"id": "488e475eeb3bb39a145f23ede197cd3620f1d98a", "title": "Pedestrian Attribute Classification in Surveillance: Database and Evaluation", "year": "2013", "pdf": []}, {"id": "b0623c1d8493d273d704ba1d0413db0de579ae77", "title": "Attributes-Based Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b062/3c1d8493d273d704ba1d0413db0de579ae77.pdf"]}, {"id": "8cd61bb3469aa253d4411ef2295b50683a031d17", "title": "Random Occlusion-recovery for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.09970.pdf"]}, {"id": "3b42de882cfba6766f6ca34d57fb5001f2686f33", "title": "WPSS: Watching people security services", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3b42/de882cfba6766f6ca34d57fb5001f2686f33.pdf"]}, {"id": "08d25f86d9ba5d2443bd3852aab01334a3a96dce", "title": "A Multiple Component Matching Framework for Person Re-Identification", "year": "2011", "pdf": 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"http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126466", "http://doi.org/10.1109/ICCV.2011.6126466"]}, {"id": "4cf5437ef31e587435ba1531da9109d714c0ee3e", "title": "Vehicle Re-identification Using Quadruple Directional Deep Learning Features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05163.pdf"], "doi": []}, {"id": "9501db000474dbd182579d311dfb1b1ab8fa871f", "title": "Supplementary of Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9501/db000474dbd182579d311dfb1b1ab8fa871f.pdf"], "doi": []}, {"id": "3f45d73a7b8d10a59a68688c11950e003f4852fc", "title": "Person re-identification by Local Maximal Occurrence representation and metric learning", "year": "2015", "pdf": ["https://arxiv.org/pdf/1406.4216.pdf"], "doi": []}, {"id": "70ab6dacf948624998d61e3476d0604c9ea2d349", "title": "A pool of multiple person re-identification experts", "year": "2016", "pdf": [], "doi": 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"1f5c409e9b6aec60003b5d4534373f9b07ff8443", "title": "Saliency Weighted Features for Person Re-identification", "year": "2014", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ECCV_2014/workshops/w19/08%20-%20Saliency%20Weighted%20Features%20for%20Person.pdf"], "doi": ["http://doi.org/10.1007/978-3-319-16199-0_14"]}, {"id": "d5c86768c067df0732187040c21f23fe2183e597", "title": "Appearance-based person re-identification by intra-camera discriminative models and rank aggregation", "year": "2015", "pdf": ["http://homepages.dcc.ufmg.br/~william/papers/paper_2015_ICB_Prates.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139077", "http://doi.org/10.1109/ICB.2015.7139077"]}, {"id": "2eef20a11324686099ee6f9b1a7613444b0d2112", "title": "Dual-Path Convolutional Image-Text Embedding with Instance Loss", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05535.pdf"], "doi": []}, {"id": "2880826d86a57cd15a73872ad6339baf5b100a9e", "title": "On deeply learning features for automatic person image re-identification", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2880/826d86a57cd15a73872ad6339baf5b100a9e.pdf"], "doi": []}, {"id": "46638b810bf69023bca41db664b49bc935bcba3c", "title": "Unsupervised Salience Learning for Person Re-identification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d586.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhao_Unsupervised_Salience_Learning_2013_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~rzhao/project/salience_cvpr13/zhaoOWcvpr13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619304", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.460", "http://doi.org/10.1109/CVPR.2013.460"]}, {"id": "4f6e1319c795e7ea1ec220a007c04e9cf37ff4e9", "title": "Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns", "year": "2018", "pdf": 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977040", "http://doi.org/10.1109/ICPR.2014.328"]}, {"id": "14ce502bc19b225466126b256511f9c05cadcb6e", "title": "Attention-Aware Compositional Network for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578324"]}, {"id": "b2efa9a9d996b396317e94d26add673bbf804bca", "title": "RGB-Infrared Cross-Modality Person Re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237837"]}, {"id": "9e8e9e04bfce59907f7c8a73e03f7ebe034120b8", "title": "Adaptive Minimum Classification Error based KISS Metric Learning for Person Re-identification", "year": "", "pdf": ["https://pdfs.semanticscholar.org/9e8e/9e04bfce59907f7c8a73e03f7ebe034120b8.pdf"], "doi": []}, {"id": "d71cefc30269feaa1de3e330b472a7dc66ec95d3", "title": "Person Re-Identification as Image Retrieval Using Bag of Ensemble Colors", "year": "2015", "pdf": 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via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"], "doi": []}, {"id": "eaaf411826d129c2a31d997dc3f5f708a8186656", "title": "SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/eaaf/411826d129c2a31d997dc3f5f708a8186656.pdf"], "doi": []}, {"id": "99d3bc6d62675297693e5e57ff0770e7017f9637", "title": "Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.09150.pdf"], "doi": []}, {"id": "4441f529631a9278f5893f8302c2448039456fd9", "title": "A compact color descriptor for person re-identification with clothing selection from a wardrobe", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177526", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177526", 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"doi": []}, {"id": "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "title": "SARC3D: A New 3D Body Model for People Tracking and Re-identification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf"], "doi": []}, {"id": "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "title": "Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"], "doi": []}, {"id": "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "title": "Efficient and Deep Person Re-identification Using Multi-level Similarity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578346"]}, {"id": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.4979.pdf"], "doi": []}, {"id": "88c5baffa5522ea62ff5d5c41036b92e30d7e3c9", "title": "Who is who at different cameras. People re-identification using Depth Cameras", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/88c5/baffa5522ea62ff5d5c41036b92e30d7e3c9.pdf"], "doi": []}, {"id": "fd0e1fecf7e72318a4c53463fd5650720df40281", "title": "End-to-End Comparative Attention Networks for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04404.pdf"], "doi": []}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}, {"id": "71dc03d6c837ca9ec1334a63bea24d836de076a0", "title": "Complex Events Recognition under Uncertainty in a Sensor Network.", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.0085.pdf"], "doi": []}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": 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Samples for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578633"]}, {"id": "451d777ee33833a3b5eb6ba5292fae162c6d265f", "title": "Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/slawekSMCBrownian2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7445882", "http://doi.org/10.1109/TSMC.2016.2531658"]}, {"id": "69ee78388e0f40941496ab92efe3e0fa065ad22e", "title": "Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69ee/78388e0f40941496ab92efe3e0fa065ad22e.pdf"], "doi": []}, {"id": "0c769c19d894e0dbd6eb314781dc1db3c626df57", "title": "Joint Detection and Identification Feature Learning for Person Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.01850.pdf"], "doi": []}, {"id": "6f0417ed89e3750a3b39d0bd7de2b4d12879c2a4", "title": "Retrieval system for person re-identification", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/48718/48718.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295006", "http://doi.org/10.5220/0004871807320738"]}, {"id": "0a6a173a1d1d36285bae97f98f4b901067d40097", "title": "Similarity learning on an explicit polynomial kernel feature map for person re-identification", "year": "2015", "pdf": ["http://research.microsoft.com/en-us/um/people/jingdw/pubs/CVPR15-PersonReID.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1B_050_ext.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298764", 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"88dddb8ea1bc1ad08598e232a67f2bbfbcf3d6ba", "title": "Shinpuhkan2014: A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras", "year": "2014", "pdf": [], "doi": []}, {"id": "231a12de5dedddf1184ae9caafbc4a954ce584c3", "title": "Closed and Open World Multi-shot Person Re-identification. (R\u00e9-identification de personnes \u00e0 partir de multiples images dans le cadre de bases d'identit\u00e9s ferm\u00e9es et ouvertes)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf"], "doi": []}, {"id": "ec6340adb88d8443343e0f66f846a8c8c79ebb6f", "title": "Person Re-identification Using Spatial Covariance Regions of Human Body Parts", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Francois_Bremond/publication/224181516_Person_Re-identification_Using_Spatial_Covariance_Regions_of_Human_Body_Parts/links/00b495214e3ee02970000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597114", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.34", "http://doi.org/10.1109/AVSS.2010.34"]}, {"id": "0f25aa473e808de72c6975fdb1e3e65180a38c05", "title": "Bag of Soft Biometrics for Person Identification New trends and challenges", "year": "2011", "pdf": 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Synthesis for Unsupervised Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.10094.pdf"], "doi": []}, {"id": "816c1925de9e8557fa70ec67d0ff71a5059eb931", "title": "Person Re-identification by Articulated Appearance Matching", "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/CristaniChapterRe-IDCustom2013.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_7"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"], "doi": []}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.12.029"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": 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"260081528f19f6f7e8e5ae16a776b62ad8c2ed0d", "title": "An Agent Based WCET Analysis for Top-View Person Re-Identification", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2600/81528f19f6f7e8e5ae16a776b62ad8c2ed0d.pdf"], "doi": []}, {"id": "0195bf2b913dbc527fb081674f480ecd8a799c34", "title": "Parametric Local Multi-modal Metric Learning for Person Re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977158", "http://doi.org/10.1109/ICPR.2014.445"]}, {"id": "f2efc85f9e20840c591b4590fd9ed202f727546a", "title": "Distributed signature fusion for person re-identification", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6470142", "http://ieeexplore.ieee.org/document/6470142/"]}, {"id": "8e42568c2b3feaafd1e442e1e861ec50a4ac144f", "title": "An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification", "year": "2018", "pdf": 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generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"], "doi": []}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. 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"https://www.wikidata.org/entity/Q35980118"]}, {"id": "3454e7bc68713f03000e6eeaab67d6401ba24531", "title": "Transferring attributes for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301803", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301803", "http://doi.org/10.1109/AVSS.2015.7301803"]}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"id": "160ab0e879f4451fa4df88cd567508150894ba9d", "title": "Cross Dataset Person Re-identification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/160a/b0e879f4451fa4df88cd567508150894ba9d.pdf"], "doi": []}, {"id": "e255ca660def135eb6ac99127d08df032876d8ab", "title": "Bidirectional ranking for person re-identification", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607577", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607577", "http://doi.org/10.1109/ICME.2013.6607577"]}, {"id": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"], "doi": []}, {"id": "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "title": "Re-identifying People Based on Indexing Structure and Manifold Appearance Modeling", "year": "2013", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2013_SIBGRAPI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656189", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.38", "http://doi.org/10.1109/SIBGRAPI.2013.38"]}, {"id": "c038186138b76a625500ff84c9dadb18aae29f1c", 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619307", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.463", "http://doi.org/10.1109/CVPR.2013.463"]}, {"id": "ac9feef881ed00a5a5e53bddb88f135a9cffe048", "title": "A general method for appearance-based people search based on textual queries", "year": "2012", "pdf": ["http://pralab.diee.unica.it/sites/default/files/Satta_REID2012.pdf", "http://www.researchgate.net/profile/Riccardo_Satta/publication/260637131_A_general_method_for_appearance-based_people_search_based_on_textual_queries/links/0f317531de98254711000000.pdf"], "doi": ["http://doi.org/10.1007/978-3-642-33863-2_45"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.pdf"], "doi": []}, {"id": "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "title": "Feedback mechanism based iterative metric 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Recognition using Deep Neural Networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905192"]}, {"id": "788ab52d4f7fedb4b79347bb81822c4f3c430d80", "title": "Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1901.10177.pdf"], "doi": []}, {"id": "47022785c35735a242dbacd4f1f1bb73628493ea", "title": "Person Retrieval Based on Viewpoint Saliency Prior", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4702/2785c35735a242dbacd4f1f1bb73628493ea.pdf"], "doi": []}, {"id": "5a08b451b0397782d81edb5b614bb2a523c6be98", "title": "Learning Correspondence Structures for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.06931.pdf"], "doi": []}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"], "doi": []}, {"id": "e4fbd2f5b2068016aba3f3ef6f9bffd695b3a729", "title": "Exploiting Gaussian mixture importance for person re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078470", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078470", "http://doi.org/10.1109/AVSS.2017.8078470"]}, {"id": "489decd84645b77d31001d17a66abb92bb96c731", "title": "Learning View-Specific Deep Networks for Person Re-Identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.11333.pdf"], "doi": []}, {"id": "095251493ac774df0a737bb8023cffd036edccd0", "title": "Person Re-identification using prototype formation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036538"]}, {"id": "34cf90fcbf83025666c5c86ec30ac58b632b27b0", "title": "Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.06555.pdf"], "doi": []}, {"id": "7c0ffae3acb0fd0a14ff66b6d474229aa16c53ab", "title": "Covariance Descriptor Multiple Object Tracking and Re-identification with Colorspace Evaluation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7c0f/fae3acb0fd0a14ff66b6d474229aa16c53ab.pdf"], "doi": []}, {"id": "15e6e1551ce9a4094c57db70985e420e57c6997a", "title": "Asymmetric cross-view dictionary learning for person re-identification", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001228.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952352", "http://doi.org/10.1109/ICASSP.2017.7952352"]}, {"id": "1c0319d67707dd7dde76e47668e852e74692df30", "title": "Human Re-identification Through a Video Camera Network. 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["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": "1b1323b4677c640ae8835a9ccab611ca1e9652e3", "title": "Robust object tracking with a hierarchical ensemble framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1509.06925.pdf"]}, {"id": "557e5e38a4c5b95e2bc86f491b03e5c8c7add857", "title": "Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf", "http://www.di.ens.fr/willow/pdfscurrent/kwak2016.pdf", 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"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": "f865248065b8d6bcbce4a4053b73e4de2080ba23", "title": "Efficient object detection for high resolution images", "year": "2015", "pdf": ["https://arxiv.org/pdf/1510.01257.pdf"]}, {"id": "e0e19769ad446c2a74c0616fcfb551059c899ce6", "title": "Part level transfer regularization for enhancing exemplar SVMs", "year": "2015", "pdf": ["http://people.csail.mit.edu/yusuf/publications/2015/Aytar15/aytar15.pdf"]}, {"id": "eea9994c71831219aacd537f5f4ab8a91110a7e2", "title": "Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction", "year": "2018", "pdf": 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"02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"]}, {"id": "9ea7205ef136f207123cd6b54e15075835ae0049", "title": "Self-supervised language grounding by active sensing combined with Internet acquired images and text", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9ea7/205ef136f207123cd6b54e15075835ae0049.pdf"]}, {"id": "6452d294af27b1f9408c9522bfb98bf00e1e4732", "title": "A novel infrared video surveillance system using deep learning based techniques", "year": "2018", "pdf": ["https://ore.exeter.ac.uk/repository/bitstream/handle/10871/32083/MTA-manuscript-revision-R2-accepted.pdf?isAllowed=y&sequence=1", "https://repository.edgehill.ac.uk/10281/6/MTA-manuscript-revision-R2.pdf"]}, {"id": "191beb87f84326d2cc9c427efe2a5abee8f67574", "title": "Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery", "year": "2016", "pdf": 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Amazonian Rivers", "year": "2017", "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": "0967341790643f680f3fc9dc87bfe311723be4e4", "title": "A Perception-Driven Transcale Display Scheme for Space Image Sequences", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0967/341790643f680f3fc9dc87bfe311723be4e4.pdf"]}, {"id": "a8bf49021017e19df051a3efb7337d93ea263e37", "title": "Deep Multiple Instance Hashing for Object-based Image Retrieval", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a8bf/49021017e19df051a3efb7337d93ea263e37.pdf"]}, {"id": "347ce37f15cea5bb8d0a676562664f80e3609b78", "title": "Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and 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S . 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"https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": []}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": []}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "year": "2016", "pdf": []}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "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": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"]}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.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": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"]}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"]}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": []}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"]}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": []}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"]}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": []}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"]}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": []}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": []}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony 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["https://arxiv.org/pdf/1609.06323.pdf"]}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"]}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"]}, {"id": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "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": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"]}, {"id": "f2f086b4ea5c37712b8fbcbcb4af6d24d4f2b78b", "title": "Comparative Analysis of Face Detection Algorithms: Novice to Novel", "year": "2018", "pdf": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": []}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": []}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined Holistic and Local Patches for Recovering 6D Object Pose", "year": "2017", "pdf": []}, {"id": "26eadb307d62ab28713931beb8be9ff0f04c6ea0", "title": "Synthetic Viewpoint Prediction", "year": "2016", "pdf": []}, {"id": "55d01b7314d78fe3bc5ae03b6e414ecba14188f8", "title": "Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval", "year": "2015", "pdf": []}, {"id": "05e9e85b5137016c93d042170e82f77bb551a108", "title": "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.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": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.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": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"]}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": []}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": []}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"]}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"]}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"]}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": []}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"]}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"]}, {"id": 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"e096b11b3988441c0995c13742ad188a80f2b461", "title": "DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers", "year": "2017", "pdf": ["https://arxiv.org/pdf/1606.04702.pdf"]}, {"id": "56e95fa26fb417776824e5adf6d6d511e5b30110", "title": "Object and Action Classification with Latent Window Parameters", "year": "2013", "pdf": ["http://homepages.inf.ed.ac.uk/hbilen/assets/pdf/Bilen14.pdf", "http://www.cse.iitk.ac.in/users/cs365/2014/_papers/bilen-namboodri-vanGool-13_object-action-classify-latent-windows.pdf", "http://www.cse.iitk.ac.in/users/vinaypn/papers/bilen2013ijcv.pdf"]}, {"id": "e7df750805d6c025d0a1a74a05a83bcf8cc63dd7", "title": "Assessment of crowdsourcing and gamification loss in user-assisted object segmentation", "year": "2015", "pdf": ["http://upcommons.upc.edu/bitstream/handle/2117/81293/asknseek.pdf;jsessionid=469B72384B7C56D4A331D68A53942294?sequence=1"]}, {"id": "85eedee59aca5f2a591265a2173cf3a2799cdc94", "title": "Action and Event Recognition with Fisher Vectors on a Compact Feature Set", "year": "2013", "pdf": []}, {"id": "3463aeda3a8d33bc88d8383cc4ad451a6775c75a", "title": "Understanding Indoor Scenes Using 3D Geometric Phrases", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/choi_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a033.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf", "https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41340.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": 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(Frequent pattern discovery in combinatorial maps databases)", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/02d1/8e600804a1a6ff354856d8dcb80ceb4c8a43.pdf"]}, {"id": "74a1336f1fbc8b7bb3b6e159711af1a91336ce22", "title": "An overview of traffic sign detection methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/74a1/336f1fbc8b7bb3b6e159711af1a91336ce22.pdf"]}, {"id": "e33bc0cd79d92d6868989a29c3ab06b75f808590", "title": "Deep Nets: What have they ever done for Vision?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.04025.pdf"]}, {"id": "0b4d3e59a0107f0dad22e74054bab1cf1ad9c32e", "title": "Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.07332.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": "a6cd743c29667ab5baef9d66d6558247b1cd00b0", "title": "New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a6cd/743c29667ab5baef9d66d6558247b1cd00b0.pdf"]}, {"id": "9b8746e9480c3bdcaa6efca33096369422c624aa", "title": "Algae Detection Using Computer Vision and Deep Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10847.pdf"]}, {"id": "3325860c0c82a93b2eac654f5324dd6a776f609e", "title": "2D Human Pose Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": []}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"]}, {"id": "4a31ca27b987606ae353b300488068b5240633ee", "title": "WSABIE: scaling up to large vocabulary image annotation", "year": "2011", "pdf": ["http://bengio.abracadoudou.com/cv/publications/pdf/weston_2011_ijcai.pdf", "http://ijcai.org/Proceedings/11/Papers/460.pdf", "http://www.thespermwhale.com/jaseweston/papers/wsabie-ijcai.pdf"]}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": []}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"]}, {"id": "21d1225296aad388406824eb113715c4b90ed3da", "title": "Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification", "year": "2015", "pdf": []}, 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"pdf": ["https://arxiv.org/pdf/1707.06879.pdf"]}, {"id": "14b311b848b51b7b5345573a289b1cedcbb4d581", "title": "Instance Similarity Deep Hashing for Multi-Label Image Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02987.pdf"]}, {"id": "24ff832171cb774087a614152c21f54589bf7523", "title": "Beat-Event Detection in Action Movie Franchises", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.03755.pdf"]}, {"id": "ffd73d1956163a4160ec2c96b3ab256f79fc92e8", "title": "Attributes as Semantic Units between Natural Language and Visual Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.03249.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": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": []}, {"id": "1c8897aaac36c9f96b86b4e6d412e91512429cde", "title": "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.04924.pdf"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": []}, {"id": "b85c198ce09ffc4037582a544c7ffb6ebaeff198", "title": "Efficient Multiple Instance Metric Learning Using Weakly Supervised Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Law_Efficient_Multiple_Instance_CVPR_2017_paper.pdf", "http://www.cs.toronto.edu/~law/publications/CVPR/2017/mimlca_cvpr_2017.pdf"]}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"]}, {"id": "2a5667702b0f1ff77dde8fb3e2e10d4e05e8de9d", "title": "Scene Parsing through ADE20K Dataset", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_Scene_Parsing_Through_CVPR_2017_paper.pdf", "http://people.csail.mit.edu/bzhou/publication/scene-parse-camera-ready.pdf"]}, {"id": "a422c2bd9030c8a2c89b6db79be2743c4a4609fb", "title": "Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02886.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": "670b10569c5f978ee70d99cf8c14ad9cabb9d454", "title": "Masked face detection via a modified LeNet", "year": "2016", "pdf": []}, {"id": "4acf31294e940d85a4eea56c244205e3a66d8b8e", "title": "Improving Product Classification Using Images", "year": "2011", "pdf": ["http://talukdar.net/papers/ImageText-ICDM2011.pdf"]}, {"id": "057f5ffda59a3412f1e62159e96f84faa352628e", "title": "Tracking with scattering descriptor", "year": "2014", "pdf": []}, {"id": "8a382f000f98cdab7f7b79e543c75c6b8f93b6f9", "title": "Learning Semantic Image Representations at a Large Scale", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8a38/2f000f98cdab7f7b79e543c75c6b8f93b6f9.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": "a887937b813f267507203d4faef1013043cf09d0", "title": "Automatic Process to Build a Contextualized Detector", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5891/b87c0eecd76f067c5bafd9cd0702ac6d2fc7.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": "59ee0f67bcf2d8ea0bbbfcbc71159725fc3a7059", "title": "Object Detection with Appearance-based Mixture Models Anonymous CVPR submission", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/59ee/0f67bcf2d8ea0bbbfcbc71159725fc3a7059.pdf"]}, {"id": "e478c322de923337627487d8a688f5922b45b2ff", "title": "Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e478/c322de923337627487d8a688f5922b45b2ff.pdf"]}, {"id": "1642358cd9410abe9ee512d34ba68296b308770e", "title": "Robustness Analysis of Pedestrian Detectors for Surveillance", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.04562.pdf"]}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"]}, {"id": "8a3b481d8e06b4acf6e95d8bc2484016f5862668", "title": "Text Detection in Traffic Informatory Signs Using Synthetic Data", "year": "2017", "pdf": []}, {"id": "7c594c0b9482624745dd95767f3eebde1ee7f043", "title": "Representing Visual Scenes for Robot Control", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7c59/4c0b9482624745dd95767f3eebde1ee7f043.pdf"]}, {"id": "0ceda9dae8b9f322df65ca2ef02caca9758aec6f", "title": "Context-Aware CNNs for Person Head Detection", "year": "2015", "pdf": []}, {"id": "5f0e9cc18374a670dfea4698424c9d48494f3093", "title": "Online Domain Adaptation for Multi-Object Tracking", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.00776.pdf"]}, {"id": "d47d72afc590f5b96117a5227d45157135da21ad", "title": "Attribute-based knowledge transfer learning for human pose estimation", "year": "2013", "pdf": []}, {"id": "0d4cdadd765c3003b0bd5f762b84bef93408f548", "title": "Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks", "year": "2014", "pdf": []}, {"id": "397bfda299f789f0c84bf284a868b9ca005c7f84", "title": "Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.02700.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": "5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb", "title": "Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters", "year": "2016", "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": "926dd1c4db38356ac5bf87c1a4c6b93625f9a850", "title": "Pulling Actions out of Context: Explicit Separation for Effective Combination", "year": "2018", "pdf": []}, {"id": "b705ca751a947e3b761e2305b41891051525d9df", "title": "Exploring Context with Deep Structured Models for Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1603.03183.pdf"]}, {"id": "be48b5dcd10ab834cd68d5b2a24187180e2b408f", "title": "Constrained Low-Rank Learning Using Least Squares-Based Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.04870.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": 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"c2be82ed0db509087b08423c8cf39ab3c36549c3", "title": "Pixel-level guided face editing with fully convolution networks", "year": "2017", "pdf": []}, {"id": "92f2639dbd9f7c4284b7012809e4d2c407834774", "title": "Point-based Medialness 2 D Shape Description and Identification", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/92f2/639dbd9f7c4284b7012809e4d2c407834774.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": "4c454fda214e00c9cba4bb759da78949a4130873", "title": "Specialization of a Generic Pedestrian Detector to a Specific Traffic Scene by the Sequential Monte-Carlo Filter and the Faster R-CNN", "year": "2017", "pdf": 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"http://www.eecs.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf", "http://www1.icsi.berkeley.edu/~stellayu/publication/doc/2011objSlides.pdf"]}, {"id": "139ab79a0aae5d4346f907b7b29288d09ef373fa", "title": "A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.08412.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": "fa496716a5b8520e94a0126b5baa4f636623c997", "title": "Revisiting Knowledge Transfer for Training Object Class Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.06128.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": "87d5b53580ca5f77ccc3ff157337ef3456308943", "title": "Augmented Autoencoders for object orientation estimation trained on synthetic RGB images", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/87d5/b53580ca5f77ccc3ff157337ef3456308943.pdf"]}, {"id": "eb2333a759788903848c49111a03c4c00d188e70", "title": "Color-based and Rotation Invariant Self-similarities", "year": "2017", "pdf": ["http://www.scitepress.org/Papers/2017/61075/61075.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": "4fe91feab83d947a0d3bd85adcf18ab1b3d9e05f", "title": "Transductive People Tracking in Unconstrained Surveillance", "year": "2016", "pdf": ["http://imagelab.ing.unimore.it/Pubblicazioni/pubblicazioni/2015TCSVT.pdf"]}, {"id": "8eaade06b75dac977574d05ce1058b86df059d47", "title": "Indoor Scene 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(Using context for semantic indexing of images and videos)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ba6c/19771926564e89be4ace7c33dc3da580249e.pdf"], "doi": []}, {"id": "70d71c2f8c865438c0158bed9f7d64e57e245535", "title": "Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/intr_obj_vrt_nips13.pdf", "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5198.pdf", "http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/intr_obj_vrt_nips13.pdf", "http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2013/nips13_vinett_torr_rother.pdf"], "doi": ["http://papers.nips.cc/paper/5198-higher-order-priors-for-joint-intrinsic-image-objects-and-attributes-estimation"]}, {"id": "447b28c347172c6da0fb4d764a534fdee557b7f8", "title": "Studying Relationships between Human Gaze, Description, and Computer Vision", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618945"]}, {"id": "782b21e803d149955c627c063ae60efeae04a9b1", "title": "Analysis of Multilayer Neural Networks for Object Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "3e01f2fefe219bfeb112f1d82e76ebba4c0e2aac", "title": "Transfer learning via attributes for improved on-the-fly classification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6836097", "http://doi.ieeecomputersociety.org/10.1109/WACV.2014.6836097", "http://doi.org/10.1109/WACV.2014.6836097"]}, {"id": "ba156b81fe8fca1fd1bfb1c822e39205c4ff355b", "title": "Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": ["http://www.emnlp2015.org/proceedings/VL/pdf/VL16.pdf"], "doi": ["https://doi.org/10.18653/v1%2FW15-2816", "http://aclweb.org/anthology/W15-2816", "https://doi.org/10.18653/v1/W15-2816"]}, {"id": "aaa6fe8045e1a071e1762cffe4f59e0bd508daf9", "title": "Single-Pedestrian Detection Aided by Two-Pedestrian Detection", "year": "2015", "pdf": ["http://www.ee.cuhk.edu.hk/~wlouyang/Papers/tpami15-ouyang_xgWang_xyZeng.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangZWtpami15.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6994306", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2377734", "http://doi.org/10.1109/TPAMI.2014.2377734", "https://www.ncbi.nlm.nih.gov/pubmed/26353133"]}, {"id": "2a7007555f71e559c6aa33efbd3bd8b401638d82", "title": "Full interpretation of minimal images", "year": "2018", "pdf": ["https://perso.telecom-paristech.fr/bloch/AIC/articles/BenYosef2017.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "a0b9a6123fa8113ad3ddc44614941c73512b9dca", "title": "Multi-class object segmentation based on jointly integrating segment-level and image-level object priors", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7832104"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": "Region detection and matching for object recognition", "year": "2013", "pdf": [], "doi": []}, {"id": "030646f4fc694ffea5d4f77203cbbc5d02aae797", "title": "Cognitive Deep Machine Can Train Itself", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.00745.pdf"], "doi": []}, {"id": "e42b89b6ed1c6d79286a62ded1e4c090f474eb40", "title": "Using image analytics to monitor retail store shelves", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1147/JRD.2015.2394513"]}, {"id": "64fb6a04a3ec96b2ad266c381c75f4dc16ce3460", "title": "Hole-based traffic sign detection method for traffic signs with red rim", "year": "2013", "pdf": [], "doi": ["https://doi.org/10.1007/s00371-013-0879-0"]}, {"id": "24c20c28871fa923c3f45b745b9b9f2d3d280e81", "title": "Harmony potentials for joint classification and segmentation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5540048"]}, {"id": "06f1c079303937f6022e6157e6341c7921fe9428", "title": "Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video", "year": "2014", "pdf": ["http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf", "http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "038e2f45575c234358325dd0dd16421136882191", "title": "Planar Object Detection using Local Feature Descriptors", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/038e/2f45575c234358325dd0dd16421136882191.pdf"], "doi": []}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"id": "c0c3e0161a1007a5edf701a6b4a201ca06922559", "title": "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization \u2020", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c0c3/e0161a1007a5edf701a6b4a201ca06922559.pdf"], "doi": []}, {"id": "6b8c4082cff10a893efa172da0ca1d31e166be0f", "title": "Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.03128.pdf"], "doi": []}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": 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Object Segmentation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_poster_cvpr_2016.pdf", "https://graphics.ethz.ch/~perazzif/davis/files/davis_supplementary.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780454", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.85", "http://doi.org/10.1109/CVPR.2016.85"]}, {"id": "64bff565c83c6ce3fac783d8d67191af99803701", "title": "Learning to Co-Generate Object Proposals with a Deep Structured Network", "year": "2016", "pdf": ["http://infoscience.epfl.ch/record/217984/files/HayderHeSalzmannCVPR16.pdf", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.281", "http://doi.org/10.1109/CVPR.2016.281"]}, {"id": "66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450", "title": "A Linear Approximation to the chi^2 Kernel with Geometric Convergence", "year": "2012", "pdf": ["https://arxiv.org/pdf/1206.4074.pdf"], "doi": []}, {"id": "dbf2d57def648d1dae7717c92a32ff02157e5cb5", "title": "RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.01054.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410538", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.181", "http://doi.org/10.1109/ICCV.2015.181"]}, {"id": "174b6d661b96840e27cd9435c2dbb8e538b2c8a6", "title": "Progressive Representation Adaptation for Weakly Supervised Object Localization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.04647.pdf"], "doi": []}, {"id": "b95cdaaa0d6c191bcc8169ce555219ad545258fb", "title": "Online streaming feature selection: a minimum redundancy, maximum significance approach", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10044-018-0690-7"]}, {"id": "0f780a8cb09627bec41000345c2771df2853224a", "title": "Automatic inspection of aeronautic components", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s00138-017-0839-1"]}, {"id": "c1206330ba57a27fd0acc29dd39825bbf2d91060", "title": "A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~yuille/Pubs10_12/PartImportance_IJCV2014_online.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0705-9"]}, {"id": "4c500c84e16e5ebb50b33f9bcff36854e5131c16", "title": "All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1711.04450.pdf"], "doi": []}, {"id": "02f86370fd467f0d03948a94a346034d8a111ffd", "title": "Semantic Video Retrieval Using High Level Context", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/02f8/6370fd467f0d03948a94a346034d8a111ffd.pdf"], "doi": []}, {"id": "d111faa1990f80e3351ea1eef0e5fc177d4e44b4", "title": "Iteratively Training Look-Up Tables for Network Quantization", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.05355.pdf"], "doi": []}, {"id": "165c27a4bfb56562c807279bef9d15f1bced5ca0", "title": "Scene parsing using inference Embedded Deep Networks", "year": "2016", "pdf": ["http://www.adv-ci.com/publications/2016_PR_Bu.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.01.027"]}, {"id": "f348d23a88fd81e05585897629f2f230fcfe77c7", "title": "Transfer Learning of Deep Neural Networks for Visual Collaborative Maritime Asset Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8537839"]}, {"id": "87fe38a79ee12531bb618d4006a476b3a5256f3e", "title": "Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02426.pdf"], "doi": []}, {"id": "d8b8e165279ca2091d5af1440ed974db4792250f", "title": "Mean Response-Time Minimization of a Soft-Cascade Detector", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ad73/ff39869e223dba6e0ee94481b6c32766df86.pdf"], "doi": []}, {"id": "0f6a2ea69c325bcbfca85fb05cb5f542873b1bf8", "title": "Food Recognition and Detection with Minimum Supervision", "year": "2016", "pdf": [], "doi": []}, {"id": "df8aee8aef6f0c71f968979318dafcd53da04bdc", "title": "Bending the Curve: Improving the ROC Curve Through Error Redistribution", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.06652.pdf"], "doi": []}, {"id": "70918453e9f147747b7a37d9159c8c1515a55ae4", "title": "Visual object tracking via the local soft cosine similarity", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2018.03.026"]}, {"id": "1876095a9387a84e594d81675c9c2c17cb10f7cf", "title": "Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool", "year": "2017", "pdf": ["http://fs.gallup.unm.edu/neut/AccurateSegmentationOfComplex.pdf"], "doi": 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"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780539", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.170", "http://doi.org/10.1109/CVPR.2016.170"]}, {"id": "9d5db7427b44d83bf036ff4cff382c23c6c7b6d8", "title": "Video redaction: a survey and comparison of enabling technologies", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f78d/6d092deaafee550fb58d6ea6e8b559325876.pdf"], "doi": []}, {"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"], "doi": 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["http://web.eecs.umich.edu/~hero/Preprints/EuclideanK-Nearest.pdf"]}, {"id": "bc704680b5032eadf78c4e49f548ba14040965bf", "title": "Face Normals \"In-the-Wild\" Using Fully Convolutional Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Trigeorgis_Face_Normals_In-The-Wild_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/normal_estimation__cvpr_2017_-4.pdf"]}, {"id": "a237e3d89c460e1b2e3f12c5d4275bd0c6eb47a8", "title": "Domain Adaptation on Graphs by Learning Aligned Graph Bases", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05288.pdf"]}, {"id": "41c506d8e6ac755a8b4616c695aab97ba89c23db", "title": "MECSE-6-2004 A Study of the Eigenface Approach for Face Recognition", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/41c5/06d8e6ac755a8b4616c695aab97ba89c23db.pdf"]}, {"id": "234b5d9e48189199d5fa5785fc4196abe1549f83", "title": "Online Program Simplification in Genetic Programming", "year": "2006", "pdf": []}, 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integration", "year": "2016", "pdf": []}, {"id": "13f615a51b17e4726da17b692bcd80432481f2e5", "title": "Reconstructing an image from its edge representation", "year": "2013", "pdf": ["https://geostat.bordeaux.inria.fr/images/dsp-2013.pdf"]}, {"id": "928b6bc4492740e8eba83366e9b21eb47ba59067", "title": "Recognizing human faces under varying degree of Illumination: A comprehensive survey", "year": "2015", "pdf": []}, {"id": "f842b13bd494be1bbc1161dc6df244340b28a47f", "title": "An Improved Face Recognition Technique Based on Modular Multi-directional Two-dimensional Principle Component Analysis Approach", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f842/b13bd494be1bbc1161dc6df244340b28a47f.pdf"]}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"]}, {"id": "3917bf2cc075ef075d9c879fc9ec3349ea116735", 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effectiveness and robust dictionary learning for face recognition", "year": "2017", "pdf": ["http://yongxu.org/paper/Sample%20diversity,%20representation%20effectiveness%20and%20robust%20dictionary%20learning%20for%20face%20recognition.pdf"]}, {"id": "158aa18c724107587bcc4137252d0ba10debf417", "title": "A randomized approach to large-scale subspace clustering", "year": "2016", "pdf": []}, {"id": "ea482bf1e2b5b44c520fc77eab288caf8b3f367a", "title": "Flexible Orthogonal Neighborhood Preserving Embedding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ea48/2bf1e2b5b44c520fc77eab288caf8b3f367a.pdf"]}, {"id": "60a8d30b726bc25779e9e3367cf0d46bb6302ddb", "title": "AUTOTAGIT: A System For The Automation Of Image Tagging In The Facebook Architecture", "year": "2010", "pdf": []}, {"id": "51520d6b275404562c7116b03c92f8477f8ba821", "title": "Collaborative Representation-Based Robust Face Recognition by Discriminative Low-Rank Representation", "year": "2015", "pdf": []}, {"id": "eb9b3ffb765b74ab920d5f443cff890096d5ad2d", "title": "Biometric Recognition", "year": "2012", "pdf": []}, {"id": "6003700dac1158c876fa1cf94f3830a54608b375", "title": "Using Wavelet-Based Contourlet Transform Illumination Normalization for Face Recognition", "year": "2015", "pdf": []}, {"id": "03104f9e0586e43611f648af1132064cadc5cc07", "title": "Subspace Clustering by Exploiting a Low-Rank Representation with a Symmetric Constraint", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0310/4f9e0586e43611f648af1132064cadc5cc07.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": "c78692bb455a3abb00aaa06eb9cd151cde08ba1c", "title": "Boosting for learning from multiclass data sets via a regularized loss function", "year": "2013", 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"pdf": []}, {"id": "365866dc937529c3079a962408bffaa9b87c1f06", "title": "Facial Feature Expression Based Approach for Human Face Recognition : A Review", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3658/66dc937529c3079a962408bffaa9b87c1f06.pdf"]}, {"id": "bafb8812817db7445fe0e1362410a372578ec1fc", "title": "Image-Quality-Based Adaptive Face Recognition", "year": "2010", "pdf": ["http://bear.buckingham.ac.uk/32/8/HSellahewa_SAJassim_revised.pdf", "http://www.cin.ufpe.br/~rps/Artigos/Image-Quality-Based%20Adaptive%20Face%20Recognition.pdf"]}, {"id": "c252bc84356ed69ccf53507752135b6e98de8db4", "title": "Sparse representation-based robust face recognition by graph regularized low-rank sparse representation recovery", "year": "2015", "pdf": []}, {"id": "176d9121e4e645344de4706dfb345ad456bfb84a", "title": "Efficient algorithm for sparse coding and dictionary learning with applications to face recognition", "year": "2015", "pdf": []}, {"id": 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"http://www.researchgate.net/profile/Yongjian_Hu/publication/233927180_Robust_face_recognition_under_varying_illumination_and_occlusion_considering_structured_sparsity/links/53e427200cf21cc29fc8eeb5.pdf", "http://www2.warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/publications/dicta_2012.pdf"]}, {"id": "096eb8b4b977aaf274c271058feff14c99d46af3", "title": "Multi-observation visual recognition via joint dynamic sparse representation", "year": "2011", "pdf": ["http://www.dtic.mil/dtic/tr/fulltext/u2/a585819.pdf", "http://www.dtic.mil/get-tr-doc/pdf?AD=ADA585819"]}, {"id": "9606b1c88b891d433927b1f841dce44b8d3af066", "title": "Principal Component Analysis with Tensor Train Subspace", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.05026.pdf"]}, {"id": "4882c926b4833fd2644e7bd0140cc1be96789909", "title": "Illumination Invariant Face Recognition System using Local Directional Pattern and Principal Component Analysis", "year": "2014", "pdf": 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Environments", "year": "2014", "pdf": []}, {"id": "6643a7feebd0479916d94fb9186e403a4e5f7cbf", "title": "Chapter 8 3 D Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6643/a7feebd0479916d94fb9186e403a4e5f7cbf.pdf"]}, {"id": "891b31be76e2baa83745f24c2e2013851dc83cbb", "title": "Improved Face Representation by Nonuniform Multilevel Selection of Gabor Convolution Features", "year": "2009", "pdf": []}, {"id": "a3775b3a0e78b890d9ca79b0aabd982551474a88", "title": "An improved 2DPCA for face recognition under illumination effects", "year": "2015", "pdf": []}, {"id": "45de1aa355745040b1db312f1f90a5cc344bccec", "title": "Face Recognition Under Varying Illumination Based on Ordinal Features", "year": "2009", "pdf": []}, {"id": "01b5d63b60bcc35aa8bead42ea52a517f879bfc9", "title": "Solving Uncalibrated Photometric Stereo Using Total Variation", "year": "2014", "pdf": ["http://ubee.enseeiht.fr/photometricstereo/pdf/jmiv2014.pdf", "http://www.irit.fr/~Jean-Denis.Durou/PUBLICATIONS/jmiv_2014.pdf"]}, {"id": "0c7da1f0c86a6250ed956d9ec7092505e64da865", "title": "Data-Driven Stream Mining Systems for Computer Vision", "year": "2014", "pdf": ["http://medianetlab.ee.ucla.edu/papers/bhat2014x2.pdf"]}, {"id": "76d9f5623d3a478677d3f519c6e061813e58e833", "title": "Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/76d9/f5623d3a478677d3f519c6e061813e58e833.pdf"]}, {"id": "91b3aeca88e910be86f23a5bb6c1a2351eb23fae", "title": "Fast Low-Rank Shared Dictionary Learning for Image Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1610.08606.pdf"]}, {"id": "acacbe3b89f23a5d4cbcfbf8bfc3424026ed5bc9", "title": "Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/acac/be3b89f23a5d4cbcfbf8bfc3424026ed5bc9.pdf"]}, {"id": "0ee3ebb327dff07045901485348f290bbc46ec1b", "title": "Eigen-domain Relighting of Face Images for Illumination-invariant Face Verification", "year": "2009", "pdf": []}, {"id": "195670d31dc6edac26e58d280b26b36abf1a1b78", "title": "Face Recognition Under Variable Lighting using Harmonic Image Exemplars", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/1956/70d31dc6edac26e58d280b26b36abf1a1b78.pdf"]}, {"id": "95f7dc555d6ee4deaf3e30d4ed4c8a806bccb424", "title": "Feature space locality constraint for kernel based nonlinear discriminant analysis", "year": "2012", "pdf": ["http://nlpr-web.ia.ac.cn/2012papers/gjkw/gk60.pdf", "http://www.nlpr.ia.ac.cn/2012papers/gjkw/gk60.pdf"]}, {"id": "26a5136ee4502500fb50cd5ade814aad45422771", "title": "An Adaptive Fuzzy Fusion Framework for Face Recognition under Illumination variation Based on Local Multiple Patterns", "year": "2013", "pdf": []}, {"id": "63c022198cf9f084fe4a94aa6b240687f21d8b41", "title": "Consensus Message Passing for Layered 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"year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c5d9/ac2f52c9fc229890798b9d6e4d899b72c525.pdf"]}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"]}, {"id": "fad895771260048f58d12158a4d4d6d0623f4158", "title": "Audio-visual emotion recognition for natural human-robot interaction", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/fad8/95771260048f58d12158a4d4d6d0623f4158.pdf"]}, {"id": "081287dfe5980783510fc29ccb34008eae89f4f5", "title": "A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding", "year": "2013", "pdf": []}, {"id": "fe8b2b2a2ace6d6af28dc0f1d63400554c8c675d", "title": "Random walk distances in data clustering and applications", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/fe8b/2b2a2ace6d6af28dc0f1d63400554c8c675d.pdf"]}, {"id": "a42209dbfe6d2005295d790456ddb2138302cbe5", "title": "Wavelet-Based 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for classification of facial images", "year": "2014", "pdf": []}, {"id": "acfd9cf5d48cf0ae64661affddb9f90d0356aab6", "title": "Eigenphases vs eigenfaces", "year": "2004", "pdf": []}, {"id": "3fd7697610cd87aba8a83e2d2171fe51602162d5", "title": "Learning a Manifold as an Atlas", "year": "2013", "pdf": []}, {"id": "0390e80ffde8a6e6cd544c6b91b19ec747c73637", "title": "Fast Estimation of Approximate Matrix Ranks Using Spectral Densities", "year": "2017", "pdf": ["https://arxiv.org/pdf/1608.05754.pdf"]}, {"id": "cb9092fe74ea6a5b2bb56e9226f1c88f96094388", "title": "A distributed perception infrastructure for robot assisted living", "year": "2014", "pdf": ["http://www.dei.unipd.it/~ghidoni/papers/ghidoni_distributed_perception.pdf"]}, {"id": "016cbf0878db5c40566c1fbc237686fbad666a33", "title": "Efficient illumination independent appearance-based face tracking", "year": "2009", "pdf": ["http://www.dia.fi.upm.es/~pcr/publications/ivc08.pdf", "http://www.dia.fi.upm.es/~pcr/publications/ivc08FinalVersion.pdf", "http://www.dia.fi.upm.es/~pcr/publications/ivc08InPress.pdf", "http://www.dia.fi.upm.es/~pcr/publications/ivc2009.pdf"]}, {"id": "8111eb725133da1f0128967bf8cf488dbd94ce2b", "title": "Audio-visual human recognition using semi-supervised spectral learning and hidden Markov models", "year": "2009", "pdf": ["http://cs.tju.edu.cn/szdw/jsfjs/fengwei/papers/JVLC09/IDVeri_JVLC09.pdf", "http://www.comp.hkbu.edu.hk/~jiazeng/Publications/Selected/Audio-Visual%20Human%20Recognition%20Using%20Semi-Supervised%20Spectral%20Learning%20and%20Hidden%20Markov%20Models.pdf"]}, {"id": "2988f24908e912259d7a34c84b0edaf7ea50e2b3", "title": "A Model of Brightness Variations Due to Illumination Changes and Non-rigid Motion Using Spherical Harmonics", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/3a68/a8af54ea6ed0413ea9b32f9f3ec780c28929.pdf"]}, {"id": "8bb4d90d5b97e8d08d2aaa99e9c075a506b3108a", "title": "Generating Diverse 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"pdf": ["http://www.cs.umd.edu/~carlos/pami09.pdf", "http://www.cs.umd.edu/~djacobs/pubs_files/TPAMI_Proofs.pdf"]}, {"id": "176e46e33f2693c5a37f65c16c797aa8e7dee2f1", "title": "High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.02619.pdf"]}, {"id": "9863dd1e2a3d3b4910a91176ac0f2fee5eb3b5e1", "title": "Design and Fusion of Pose-Invariant Face-Identification Experts", "year": "2006", "pdf": ["https://labicvl.github.io/docs/pubs/TK_TCSVT_2006.pdf"]}, {"id": "332d773b70f2f6fb725d49f314f57b8f8349a067", "title": "Maximum Correntropy Criterion for Robust Face Recognition", "year": "2011", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/maximum%20correntropy%20criterion%20for%20robust%20face%20recognition.pdf"]}, {"id": "8f713e3c5b6b166c213e00a3873f750fb5939c9a", "title": "The 2D factor analysis and its application to face recognition with a single sample per person", "year": "2015", 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"Sparse and low-rank recovery using adaptive thresholding", "year": "2018", "pdf": []}, {"id": "003ba2001bd2614d309d6ec15e9e2cbe86db03a1", "title": "A novel post-nonlinear ICA-based reflectance model for 3D surface reconstruction", "year": "2005", "pdf": []}, {"id": "052e935a65b06e05f4154021dbb33380edd26576", "title": "Regularized Diffusion Process on Bidirectional Context for Object Retrieval.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/052e/935a65b06e05f4154021dbb33380edd26576.pdf"]}, {"id": "2c34bf897bad780e124d5539099405c28f3279ac", "title": "Robust Face Recognition via Block Sparse Bayesian Learning", "year": "2013", "pdf": ["https://arxiv.org/pdf/1301.6847.pdf"]}, {"id": "5a8a4b0ec264e0959f0c1effcb9de4a74cf6b148", "title": "Greedy Subspace Clustering", "year": "2014", "pdf": ["https://arxiv.org/pdf/1410.8864.pdf"]}, {"id": "7113b51f20c01ea5cbe0be04c19588d20f432f9f", "title": "Face Recognition by Discriminative Orthogonal Rank-one Tensor Decomposition", "year": 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"Distributed sketched subspace clustering for large-scale datasets", "year": "2017", "pdf": []}, {"id": "3a92de0a4a0ef4f88e1647633f1fbb13cd6a3c95", "title": "Face Recognition Using Kernel Ridge Regression", "year": "2007", "pdf": ["http://dro.deakin.edu.au/eserv/DU:30044591/venkatesh-facerecognition-2007.pdf"]}, {"id": "70696186584d663bce09ff929db0cc32ce81cba7", "title": "Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis", "year": "2018", "pdf": []}, {"id": "9a1246da9730ddda1f982a668816b501791a2a64", "title": "Bionic Face Recognition Using Gabor Transformation", "year": "2010", "pdf": []}, {"id": "c3b19b65c0178142683c2a3318f492da8bcadb1a", "title": "Variable lighting face recognition using discrete wavelet transform", "year": "2011", "pdf": []}, {"id": "ce9a61bcba6decba72f91497085807bface02daf", "title": "Eigen-harmonics faces: face recognition under generic lighting", "year": "2004", "pdf": 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"http://www.researchgate.net/profile/Johannes_Stallkamp/publication/222529187_A_video-based_door_monitoring_system_using_local_appearance-based_face_models/links/02e7e521b523056b8c000000.pdf"]}, {"id": "259e35fa5a57cf16010621639957777ebad72367", "title": "Tied Factor Analysis for Face Recognition Across Large Pose Changes", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/6769/cfbd85329e4815bb1332b118b01119975a95.pdf"]}, {"id": "49600d98d45292a7bd8d4b7626feb00e22ff6768", "title": "Study of Different Face Recognition Algorithms and Challenges", "year": "2014", "pdf": ["http://vahabonline.com/wp-content/uploads/2015/01/Algorithms___w98ed41asf.pdf", "http://www.ijer.in/ijer/publication/v3s2/IJER_2014_216.pdf"]}, {"id": "38f8314b006033d1fcef1ccc547134824976e587", "title": "Estimating Facial Reflectance Properties Using Shape-from-Shading", "year": "2008", "pdf": []}, {"id": "153e5cddb79ac31154737b3e025b4fb639b3c9e7", "title": "Active Dictionary Learning in Sparse Representation Based Classification", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5763.pdf"]}, {"id": "7aa062c6c90dba866273f5edd413075b90077b51", "title": "Minimizing Separability : A Comparative Analysis of Illumination Compensation Techniques in Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7aa0/62c6c90dba866273f5edd413075b90077b51.pdf"]}, {"id": "337eb9cea869ba22b7d684b34642fb6d90e32997", "title": "Illumination Invariant Face Recognition with Whitening Filter and Local Binary Patterns", "year": "2013", "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": "658371a7f791d7ddeb266e939381d278ae809da5", "title": "A novel 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"pdf": []}, {"id": "36b19e6bf2f0abc0387052436956a25b37488134", "title": "Robust Face Recognition Based l21-Norm Sparse Representation", "year": "2014", "pdf": []}, {"id": "9bac481dc4171aa2d847feac546c9f7299cc5aa0", "title": "Matrix Product State for Higher-Order Tensor Compression and Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1609.04541.pdf"]}, {"id": "e7b7df786cf5960d55cbac4e696ca37b7cee8dcd", "title": "A sparse kernel representation method for image classification", "year": "2012", "pdf": []}, {"id": "10689c0a253c858c898275b819609e3dbb6fae25", "title": "Convex Sparse PCA for Unsupervised Feature Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1411.6233.pdf"]}, {"id": "e5d41bf4554831c204a999f5b5223fb51cc4aca4", "title": "Sparse Representation and Low-Rank Approximation for Robust Face Recognition", "year": "2014", "pdf": []}, {"id": "e6e5a6090016810fb902b51d5baa2469ae28b8a1", "title": "Title Energy-Efficient Deep In-memory Architecture for NAND Flash Memories", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e6e5/a6090016810fb902b51d5baa2469ae28b8a1.pdf"]}, {"id": "918b72a47b7f378bde0ba29c908babf6dab6f833", "title": "Uncorrelated trace ratio linear discriminant analysis for undersampled problems", "year": "2011", "pdf": ["http://www.researchgate.net/profile/Leihong_Zhang/publication/220646480_Uncorrelated_trace_ratio_linear_discriminant_analysis_for_undersampled_problems/links/02e7e52abf94f7b268000000.pdf"]}, {"id": "734d6049fe08d0a24f6aa70bf0d81c217dfca570", "title": "A Novel Method for Facial Features Extraction Using Bilateral Filtering and Wavelet Transform", "year": "2008", "pdf": []}, {"id": "14fa27234fa2112014eda23da16af606db7f3637", "title": "Unified formulation of linear discriminant analysis methods and optimal parameter selection", "year": "2011", "pdf": ["http://www.deakin.edu.au/research/src/prada/publications/2010/journals/an_liu_venkatesh_yan_pr10.pdf"]}, {"id": "63c109946ffd401ee1195ed28f2fb87c2159e63d", 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["https://pdfs.semanticscholar.org/29d4/14bfde0dfb1478b2bdf67617597dd2d57fc6.pdf"]}, {"id": "ba99c37a9220e08e1186f21cab11956d3f4fccc2", "title": "A Fast Factorization-Based Approach to Robust PCA", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.08677.pdf"]}, {"id": "34c594abba9bb7e5813cfae830e2c4db78cf138c", "title": "Transport-based single frame super resolution of very low resolution face images", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_047.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_047_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/ext/3B_047_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Kolouri_Transport-Based_Single_Frame_2015_CVPR_paper.pdf"]}, {"id": "e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd", "title": "Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction", "year": "2010", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=8BA80DE8A35C6665EB6C19D582E5689F?doi=10.1.1.227.7824&rep=rep1&type=pdf", "http://www.researchgate.net/profile/Feiping_Nie/publication/224122306_Flexible_Manifold_Embedding_A_Framework_for_Semi-Supervised_and_Unsupervised_Dimension_Reduction/links/09e4150b7cea235523000000.pdf"]}, {"id": "f58ddc47e485bb1fe70e150a7e9d7c2ea1f83d8c", "title": "SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms", "year": "2018", "pdf": []}, {"id": "41510adad15c56c998a3190c550c0841614996dd", "title": "On the Equivalence of Linear Discriminant Analysis and Least Squares", "year": "2015", "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": "900dc8bb7274701d4eacddb71643b6a8a51a3b75", "title": "Expression-Invariant Face Recognition With Constrained Optical Flow Warping", "year": "2009", "pdf": []}, {"id": "a513977bcd8cecd2ed1836bf91b31a80a1ebe27b", "title": "Person identification by face recognition on portable device for teaching-aid system: Preliminary report", "year": "2014", "pdf": []}, {"id": "8f6d05b8f9860c33c7b1a5d704694ed628db66c7", "title": "Non-linear dimensionality reduction and sparse representation models for facial analysis. (R\u00e9duction de la dimension non-lin\u00e9aire et mod\u00e8les de la repr\u00e9sentations parcimonieuse pour l'analyse du visage)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f1db/7f2e05e9c955cd59ac3d9040ab9b406c0b66.pdf"]}, {"id": "2116b13eb3af418ef02502715e8f3c98664e699a", "title": "An adaptive sparse representation model by block dictionary and swarm intelligence", "year": "2017", "pdf": []}, {"id": "a88640045d13fc0207ac816b0bb532e42bcccf36", "title": "Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction", "year": "2019", "pdf": ["https://arxiv.org/pdf/1709.02896.pdf"]}, {"id": "4ff9d14631b46f75fcea833fc0ed8ff2ef3ea855", "title": "A Fast Extension for Sparse Representation on Robust Face Recognition", "year": "2010", "pdf": []}, {"id": "35f084ddee49072fdb6e0e2e6344ce50c02457ef", "title": "A bilinear illumination model for robust face recognition", "year": "2005", "pdf": ["http://vcg.seas.harvard.edu/files/pfister/files/iccv05_0.pdf", "http://www.merl.com/publications/docs/TR2005-093.pdf", "https://dash.harvard.edu/bitstream/handle/1/4238979/Lee_Bilinear.pdf?isAllowed=y&sequence=2"]}, {"id": "d9739d1b4478b0bf379fe755b3ce5abd8c668f89", "title": "Unsupervised approach for the accurate localization of the pupils in near-frontal facial images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4248/14d74bdc3be23caeec8743fe7b69ba76f39e.pdf"]}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based features at kernel level for face recognition \u2606", "year": "2017", "pdf": []}, {"id": "810f5606a4769fc3dd99611acf805596fb79223d", "title": "Extraction of illumination invariant facial features from a single image using nonsubsampled contourlet transform", "year": "2010", "pdf": ["http://eecs.qmul.ac.uk/~jason/Research/PreprintVersion/Extraction%20of%20Illumination%20Invariant%20Facial%20Features%20from%20A%20Single%20Image%20Using%20Nonsubsampled%20Contourlet%20Transform.pdf", "http://sist.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Extraction%20of%20Illumination%20Invariant%20Facial%20Features%20from%20A%20Single%20Image%20Using%20Nonsubsampled%20Contourlet%20Transform.pdf"]}, {"id": "c6f425f7b6147aa30b26c730d478f04052208e08", "title": "Low-Rank Representation for Incomplete Data", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c6f4/25f7b6147aa30b26c730d478f04052208e08.pdf"]}, {"id": "c8d36a1ef1555fe4f8026f82f4e8905701519579", "title": "Decision tree-based contrast enhancement for various color images", "year": "2009", "pdf": ["http://excelsior.cs.ucsb.edu/papers/mva09.pdf", "http://www.cs.ucsb.edu/~yfwang/papers/MVA09.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": "2a99cd2e9fd5f6b5c6badb6a813db730d4570e47", "title": "Sparse Affinity Propagation for Image Analysis", "year": "2014", "pdf": ["http://www.jsoftware.us/vol9/jsw0903-32.pdf", "https://pdfs.semanticscholar.org/2a99/cd2e9fd5f6b5c6badb6a813db730d4570e47.pdf"]}, {"id": "419a6fca4c8d73a1e43003edc3f6b610174c41d2", "title": "A component based approach improves classification of discrete facial expressions over a holistic approach", "year": "2010", "pdf": ["http://www.robots.newcastle.edu.au/~chalup/chalup_publications/p058.pdf", "http://www.robots.newcastle.edu.au/~chalup/chalup_publications/p058_preprint.pdf"]}, {"id": "0bca804d834da6870ccafc4a738e9a5a54c47b63", "title": "Ana\u0301lise da Influe\u0302ncia de Diferentes Condic\u0327o\u0303es de Iluminac\u0327a\u0303o na Classificac\u0327a\u0303o de Faces Humanas em Imagens Digitais", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/0bca/804d834da6870ccafc4a738e9a5a54c47b63.pdf"]}, {"id": "a32f28156b47fd262e04426806037d138bb3ed0b", "title": "Fisher \u2019 s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/a32f/28156b47fd262e04426806037d138bb3ed0b.pdf"]}, {"id": "92292fffc36336d63f4f77d6b8fc23b0c54090e9", "title": "Variational Feature Representation-based Classification for face recognition with single sample per person", "year": "2015", "pdf": []}, {"id": "fa71b3be5089f070518f7c150441b43a0ce9fb0a", "title": "Regularized Greedy Column Subset Selection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.04421.pdf"]}, {"id": "b591430dbc7070cd35a7b1cf7ef519ceb2fae81a", "title": "Face recognition under arbitrary illumination using illuminated exemplars", "year": "2007", "pdf": []}, {"id": "42ecfc3221c2e1377e6ff849afb705ecd056b6ff", "title": "Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics", "year": "2004", "pdf": ["https://pdfs.semanticscholar.org/42ec/fc3221c2e1377e6ff849afb705ecd056b6ff.pdf"]}, {"id": "5a2c5b50437a15ed986343c60ab5f3aa8b02ee50", "title": "Deep Adversarial Subspace Clustering", "year": "2018", "pdf": []}, {"id": "983386734fa2e4312457a9129a8844ba4f3c137a", "title": "An Adaptive Method For Face Recognition Based Filters and Selection of Features", "year": "2009", "pdf": ["http://ocean.kisti.re.kr/downfile/volume/kocon/CCTHCV/2009/v9n6/CCTHCV_2009_v9n6_1.pdf"]}, {"id": "0c5ddfa02982dcad47704888b271997c4de0674b", "title": "Model-driven and Data-driven Approaches for some Object Recognition Problems", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0c5d/dfa02982dcad47704888b271997c4de0674b.pdf"]}, {"id": "9ec8eb9f290ce099165c5d0e672b70da1ce28803", "title": "Biologically Inspired Processing for Lighting Robust Face Recognition", "year": "2011", "pdf": ["http://cdn.intechopen.com/pdfs-wm/16587.pdf", "https://api.intechopen.com/chapter/pdf-download/16587"]}, {"id": "e0765de5cabe7e287582532456d7f4815acd74c1", "title": "Representing images of a rotating object with cyclic permutation for view-based pose estimation", "year": "2009", "pdf": ["http://imd.naist.jp/imdweb/pub/tamaki_cviu09/paper.pdf", "http://ir.lib.hiroshima-u.ac.jp/files/public/27686/20141016161839215539/CVIU_113_1210.pdf"]}, {"id": "58cb1414095f5eb6a8c6843326a6653403a0ee17", "title": "Face recognition using multiple facial features", "year": "2007", "pdf": ["http://www.ee.iitm.ac.in/~raju/journals/j25.pdf"]}, {"id": "1999248e52154aa8e2aa4c1e60899e26794eb1f9", "title": "A two-stage learning approach to face recognition", "year": "2017", "pdf": []}, {"id": "9c1860de6d6e991a45325c997bf9651c8a9d716f", "title": "3D reconstruction and face recognition using kernel-based ICA and neural networks", "year": "2011", "pdf": ["http://edi-info.ir/files/3D-reconstruction-and-face-recognition-using-kernel-based-ICA-and-neural-networks.pdf"]}, {"id": "ffc9d6a5f353e5aec3116a10cf685294979c63d9", "title": "Eigenphase-based face recognition : a comparison of phase-information extraction methods", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/ffc9/d6a5f353e5aec3116a10cf685294979c63d9.pdf"]}, {"id": "5889f0d5976c25aee9a9e9cc470d70220ac5bc32", "title": "Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.03337.pdf"]}, {"id": "0ba99a709cd34654ac296418a4f41a9543928149", "title": "Image Clustering Using Local Discriminant Models and Global Integration", "year": "2010", "pdf": ["http://vc.sce.ntu.edu.sg/index_files/TIPClustering_double.pdf", "http://www.researchgate.net/profile/Yi_Yang14/publication/43347966_Image_clustering_using_local_discriminant_models_and_global_integration/links/0912f50f60435678c4000000.pdf", "https://pdfs.semanticscholar.org/0ba9/9a709cd34654ac296418a4f41a9543928149.pdf"]}, {"id": "beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2", "title": "Adaptive Histogram Equalization and Logarithm Transform with Rescaled Low Frequency DCT Coefficients for Illumination Normalization", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/beb3/fd2da7f8f3b0c3ebceaa2150a0e65736d1a2.pdf"]}, {"id": "7b7be292b5affb37400624f15674cd8fd39a6432", "title": "Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07689.pdf"]}, {"id": "609ff585468ad0faba704dde1a69edb9f847c201", "title": "LogDet Rank Minimization with Application to Subspace Clustering", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.00908.pdf"]}, {"id": "d8b88110f4c9c6cdf69f51a8930364a9d92e802f", "title": "A Constrained Independent Component Analysis Based Photometric Stereo for 3D Human Face Reconstruction", "year": "2012", "pdf": []}, {"id": "9c781f7fd5d8168ddae1ce5bb4a77e3ca12b40b6", "title": "Attribute Based Face Classification Using Support Vector Machine Brindha", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9c78/1f7fd5d8168ddae1ce5bb4a77e3ca12b40b6.pdf"]}, {"id": "1ad97cce5fa8e9c2e001f53f6f3202bddcefba22", "title": "Grassmann Averages for Scalable Robust PCA", "year": "2014", "pdf": ["http://files.is.tue.mpg.de/black/papers/RGA2014.pdf", "http://image.diku.dk/aasa/papers/cvpr2014.pdf", "http://orbit.dtu.dk/files/123900492/Hauberg_Grassmann_Averages_for_2014_CVPR_paper.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hauberg_Grassmann_Averages_for_2014_CVPR_paper.pdf"]}, {"id": "08229cf2932040b1980c5b8a172a6e9ce89e30f2", "title": "Recovery of Sparse and Low Rank Components of Matrices Using Iterative Method with Adaptive Thresholding", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.03722.pdf"]}, {"id": "5e06558f2b5c60c9c1a64d6bc781c38d0a1896ef", "title": "Das Fourierspektrum von Gesichtsbildern in Photographie und Kunst und dessen Einfluss auf die Gesichtswahrnehmung", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/5e06/558f2b5c60c9c1a64d6bc781c38d0a1896ef.pdf"]}, {"id": "1d396b39d6a46675891808c1622870a60ae90816", "title": "Image Generation Using Bidirectional Integral Features for Face Recognition with a Single Sample per Person", "year": "2015", "pdf": []}, {"id": "4dbfbe5fd96c9efc8c3c2fd54406b62979482678", "title": "Extended linear regression for undersampled face recognition", "year": "2014", "pdf": []}, {"id": "d97e7799142e2c66b63fe63bc52632fdf305f313", "title": "Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction", "year": "2009", "pdf": ["http://www-users.cs.umn.edu/~saad/PDF/umsi-2008-02.pdf"]}, {"id": "951722d388c5bfb906d0e5f8cd9c02d799a9b716", "title": "Learning 2D Gabor Filters by Infinite Kernel Learning Regression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.02974.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": "3c03d95084ccbe7bf44b6d54151625c68f6e74d0", "title": "Contextual constraints based linear discriminant analysis", "year": "2011", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ZLEI-CCLDA-PRL-11.pdf"]}, {"id": "1a0e1ba4408d12f8a28049da0ff8cad4f91690d5", "title": "A Hierarchical Predictive Coding Model of Object Recognition in Natural Images", "year": "2016", "pdf": ["https://kclpure.kcl.ac.uk/portal/files/62896716/A_hierarchical_Predictive_Coding_SPRATLING_Published_GOLD_VoR.pdf", "https://nms.kcl.ac.uk/michael.spratling/Doc/pcbc_image_recognition.pdf"]}, {"id": "7477cf04c6b086108f459f693a60272523c134db", "title": "Learning Structured Low-Rank Representations for Image Classification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a676.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Learning_Structured_Low-Rank_2013_CVPR_paper.pdf", "http://www.umiacs.umd.edu/~zhuolin/Publications/CVPR2013_LowRank.pdf"]}, {"id": "9771e04f48d8a1d7ae262539de8924117a04c20d", "title": "Random Projection with Robust Linear Discriminant Analysis Model in Face Recognition", "year": "2007", "pdf": []}, {"id": "77be118034a700e5b7d9633f50f6fbb7fabec8ef", "title": "A real-time angle aware face recognition system based on artificial neural network", "year": "2011", "pdf": []}, {"id": "18b0cd5f044472803d3436475d3cd3ca648d9f72", "title": "Reweighted sparse subspace clustering", "year": "2015", "pdf": []}, {"id": "919cb6160db66a8fe0b84cb7f171aded48a13632", "title": "A Minimax Framework for Classification with Applications to Images and High Dimensional Data", "year": "2014", "pdf": []}, {"id": "1f2d12531a1421bafafe71b3ad53cb080917b1a7", "title": "Joint optimization of manifold learning and sparse representations", "year": "2013", "pdf": ["http://chenlab.ece.cornell.edu/people/Andy/Andy_files/AI_Seminar_March_1_2013_Ptucha.pdf", "https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553786.pdf"]}, {"id": "40fb4e8932fb6a8fef0dddfdda57a3e142c3e823", "title": "A mixed generative-discriminative framework for pedestrian classification", "year": "2008", "pdf": ["http://gavrila.net/Publications/cvpr08.pdf", "http://gavrila.net/cvpr08.pdf"]}, {"id": "38c7eb0fc56e0d041c3f026e581cc0a5e4ad8736", "title": "Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit", "year": "2016", "pdf": []}, {"id": "ac1e8abd3efc78dc76ea096d2e5b941d94857bed", "title": "Unfamiliar facial identity registration and recognition performance enhancement", "year": "2013", "pdf": []}, {"id": "319671078659d8845690a6a785421bf2ea8f7b5e", "title": "Redes Complexas Aplicadas no Reconhecimento de Faces", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/3196/71078659d8845690a6a785421bf2ea8f7b5e.pdf"]}, {"id": "3b47e618c5ceb1c16db7f709dd1cfe53d7417b54", "title": "Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers", "year": "2014", "pdf": ["https://arxiv.org/pdf/1404.5187.pdf"]}, {"id": "118a336b7b8f305634f5fad8bbefcff988da601f", "title": "Image Modeling based on Kernel Principal Component Analysis", "year": "2003", "pdf": ["https://pdfs.semanticscholar.org/118a/336b7b8f305634f5fad8bbefcff988da601f.pdf"]}, {"id": "4b429441b2b163380c8b20fe4b33c239e875f7a4", "title": "Multi-Scale Depth from Slope with Weights", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/4b42/9441b2b163380c8b20fe4b33c239e875f7a4.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": "11de4195ecf7b24568b0c893125cd6b8b469f0a6", "title": "Joint learning and dictionary construction for pattern recognition", "year": "2008", "pdf": ["http://dro.deakin.edu.au/eserv/DU:30044578/venkatesh-jointlearning-2008.pdf", "http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/068.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/068.pdf"]}, {"id": "15b30fc33fc36ce21ad5c5bfd22f61eb366d67f5", "title": "Disguised face recognition via local phase quantization plus geometry coverage", "year": "2013", "pdf": []}, {"id": "d71a2baecdf28fd946458a34bfbc034681a82694", "title": "Integrate the original face image and its mirror image for face recognition", "year": "2014", "pdf": ["http://www.yongxu.org/paper/1-s2.0-S0925231213010849-main.pdf"]}, {"id": "03e72b4f932998bc363df1d49650bfa33dcc2872", "title": "Fisher discrimination dictionary pair learning for image classification", "year": "2017", "pdf": []}, {"id": "24cce97c3fe3c3fc21f1225e4a9f6c1e736e6bb9", "title": "Improved Wavelet-Based Illumination Normalization Algorithm for Face Recognition", "year": "2009", "pdf": []}, {"id": "6c0048265758442d1620c2a239590d0d9060c09d", "title": "Embedding New Samples via Locality-Constrained Sparse Representation for Nonlinear Manifold Learning", "year": "2015", "pdf": []}, {"id": "aca0707883f9d356cdf430ab59989d4bfb765a9c", "title": "A Novel Illumination Estimation for Face Recognition under Complex Illumination Conditions", "year": "2017", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E100.D/4/E100.D_2016EDL8218/_pdf/-char/en"]}, {"id": "36e4578e29adacc5b44edd3bf9f2a77561b0f2e0", "title": "Directional binary code with application to PolyU near-infrared face database", "year": "2010", "pdf": ["http://www4.comp.polyu.edu.hk/~biometrics/NIRFace/PRL_R3.pdf", "http://www4.comp.polyu.edu.hk/~cslzhang/paper/PRL_2010_ZBC.pdf", "https://www.researchgate.net/profile/Linlin_Shen/publication/220644203_Directional_binary_code_with_application_to_PolyU_near-infrared_face_database/links/542a26700cf27e39fa8e7955.pdf"]}, {"id": "8c5ccfb019d8dba31cfe3aed662bdf9256b34623", "title": "Adaptive cascade of boosted ensembles for face detection in concept drift", "year": "2011", "pdf": []}, {"id": "a233cb665a6b44d233e8fb2913e5b57b20e1cd7b", "title": "Active learning via local structure reconstruction", "year": "2017", "pdf": []}, {"id": "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "title": "How intelligent are convolutional neural networks?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06126.pdf"]}, {"id": "cc91001f9d299ad70deb6453d55b2c0b967f8c0d", "title": "Performance Enhancement of Face Recognition in Smart TV Using Symmetrical Fuzzy-Based Quality Assessment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cc91/001f9d299ad70deb6453d55b2c0b967f8c0d.pdf"]}, {"id": "0ba449e312894bca0d16348f3aef41ca01872383", "title": "A Unified Framework for Stochastic Matrix Factorization via Variance Reduction", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.06884.pdf"]}, {"id": "760a712f570f7a618d9385c0cee7e4d0d6a78ed2", "title": "Sparse Representation With Kernels", "year": "2013", "pdf": ["http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=20E559106CA117CEB4068D21084E792B?doi=10.1.1.303.7058&rep=rep1&type=pdf"]}, {"id": "8dffbb6d75877d7d9b4dcde7665888b5675deee1", "title": "Emotion Recognition with Deep-Belief Networks", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/8dff/bb6d75877d7d9b4dcde7665888b5675deee1.pdf"]}, {"id": "a656ed4aeb85e01827958935aa666466430547c6", "title": "SICA: subjectively interesting component analysis", "year": "2018", "pdf": ["https://biblio.ugent.be/publication/8554235/file/8554495.pdf", "https://research-information.bristol.ac.uk/files/150281368/10.1007_2Fs10618_018_0558_x_1_.pdf"]}, {"id": "580054294ca761500ada71f7d5a78acb0e622f19", "title": "A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses", "year": "2008", "pdf": ["http://www.jdl.ac.cn/project/faceId/paperreading/Paper/hhan_20090305_TIP2008_FaceRelighting.pdf"]}, {"id": "1a3eee980a2252bb092666cf15dd1301fa84860e", "title": "PCA Gaussianization for image processing", "year": "2009", "pdf": []}, {"id": "4fbc0189252ed4fe8f9cffd3ea0ebbb0c621e3ef", "title": "Critical parameters of the sparse representation-based classifier", "year": "2013", "pdf": []}, {"id": "30ee29aa8fc9f4566cf65ee3300cfb24d8b80350", "title": "Locality Preserving Projections Based on L1 Graph", "year": "2010", "pdf": []}, {"id": "ff402bd06c9c4e94aa47ad80ccc4455efa869af3", "title": "ICA filters for lighting invariant face recognition", "year": "2004", "pdf": []}, {"id": "bca39960ba46dc3193defe0b286ee0bea4424041", "title": "A decision-boundary-oriented feature selection method and its application to face recognition", "year": "2009", "pdf": []}, {"id": "074fa5163f86175aa338111d553ca6e947a757b3", "title": "Acquiring height data from a single image of a face using local shape indicators", "year": "2006", "pdf": ["http://www-users.cs.york.ac.uk/~erh/rae/face_recon.pdf", "http://www.researchgate.net/profile/Mario_Castelan2/publication/222408384_Acquiring_height_data_from_a_single_image_of_a_face_using_local_shape_indicators/links/0912f51113bbc3d08e000000.pdf"]}, {"id": "b9cad920a00fc0e997fc24396872e03f13c0bb9c", "title": "Face liveness detection under bad illumination conditions", "year": "2011", "pdf": ["http://www.ic.unicamp.br/~rocha/pub/papers/2011-icip-spoofing-detection.pdf"]}, {"id": "6f74c3885b684e52096497b811692bd766071530", "title": "Low-rank representation with local constraint for graph construction", "year": "2013", "pdf": []}, {"id": "0a5631595a7e6e74b0dc587dc53f065ff2bea417", "title": "Bounds on the Number of Measurements for Reliable Compressive Classification", "year": "2016", "pdf": []}, {"id": "7bd37e6721d198c555bf41a2d633c4f0a5aeecc1", "title": "Fusing Local Patterns of Gabor and Non-subsampled Contourlet Transform for Face Recognition", "year": "2013", "pdf": []}, {"id": "a1132e2638a8abd08bdf7fc4884804dd6654fa63", "title": "Real-Time Video Face Recognition for Embedded Devices", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2e29/0ac7217b108a1d2c2b67838e979cf73887ab.pdf"]}, {"id": "b8f12a17afdfa35a6c3dd7d652fe0acc10bc77ae", "title": "A review on Face Detection and study of Viola Jones method", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b8f1/2a17afdfa35a6c3dd7d652fe0acc10bc77ae.pdf"]}, {"id": "5e4fb9b216657cbed1125b3be359ee482168c3e3", "title": "Discriminative graph regularized extreme learning machine and its application to face recognition", "year": "2015", "pdf": ["http://bcmi.sjtu.edu.cn/~pengyong/Pub2015/NEUCOM2015.pdf", "http://www.public.asu.edu/~swang187/publications/NEUCOM2015.pdf"]}, {"id": "59c91d28363201f421cbfb8819ccc5c53dacb00b", "title": "Expression invariant face recognition using contourlet transform", "year": "2014", "pdf": []}, {"id": "a3bf6129d1ae136709063a5639eafd8018f50feb", "title": "A linear regression model for estimating facial image quality", "year": "2017", "pdf": []}, {"id": "84b5f7c7148555c2d0f156660eb2f3dcaef83ba8", "title": "Multi-scale Integration of Slope Data on an Irregular Mesh", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/84b5/f7c7148555c2d0f156660eb2f3dcaef83ba8.pdf"]}, {"id": "67f1f2bec9cdd5cf52b0732349fd7657a45b10f9", "title": "An Approach for Sequential Dictionary Learning in Nonuniform Noise", "year": "2017", "pdf": []}, {"id": "656aeb92e4f0e280576cbac57d4abbfe6f9439ea", "title": "USE OF IMAGE ENHANCEMENT TECHNIQUES FOR IMPROVING REAL TIME FACE RECOGNITION EFFICIENCY ON WEARABLE GADGETS", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/656a/eb92e4f0e280576cbac57d4abbfe6f9439ea.pdf"]}, {"id": "60bffecd79193d05742e5ab8550a5f89accd8488", "title": "Proposal Classification using sparse representation and applications to skin lesion diagnosis", "year": "", "pdf": ["https://pdfs.semanticscholar.org/60bf/fecd79193d05742e5ab8550a5f89accd8488.pdf"]}, {"id": "5735c1b752f08a8263ba0d7c52ef5607f177f343", "title": "Kernelization of locality preserving discriminant projection", "year": "2015", "pdf": []}, {"id": "0557776160a80a612541f0b3eb79b30e884e1b96", "title": "Are face recognition methods useful for classifying ships?", "year": "2011", "pdf": []}, {"id": "4b1d6a73e5f54104b1c0fc64642aa5c6f9d2e2a9", "title": "Mixture Matrix Completion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00616.pdf"]}, {"id": "12d8b28e3da6651ec8518319135be956c8bf0162", "title": "Fast Iterative Kernel Principal Component Analysis", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/21b6/ca44fa76c7dc138e92f0510c1ce43adb3d89.pdf"]}, {"id": "7b8cfd54bf9392c91af4c4621d793ede638fc81d", "title": "CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images", "year": "2016", "pdf": []}, {"id": "a33f20773b46283ea72412f9b4473a8f8ad751ae", "title": "ROBUST FACE RECOGNITION ON NONLINEAR MANIFOLDS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a33f/20773b46283ea72412f9b4473a8f8ad751ae.pdf"]}, {"id": "d6a5eb4377e2a67420778eab61b5a89046307bae", "title": "Scale-Space Decomposition and Nearest Linear Combination Based Approach for Face Recognition", "year": "2014", "pdf": []}, {"id": "2d9e30680a17bbdf83ce27287bc1901da7198f74", "title": "Symmetry, probability, and recognition in face space.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/2d9e/30680a17bbdf83ce27287bc1901da7198f74.pdf"]}, {"id": "0d90d046db16d3d5ce70590e6dab32cdd58928f6", "title": "A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification", "year": "2011", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001469.pdf", "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001469.pdf"]}, {"id": "c9be1001706bcdd8b35fa9cae733c592e90c7ec3", "title": "Robust Face Recognition via Accurate Face Alignment and Sparse Representation", "year": "2010", "pdf": []}, {"id": "7a7db5a1325844b62d2ecf8489872c8f515f1c37", "title": "Nuclear Norm-Based 2-DPCA for Extracting Features From Images", "year": "2015", "pdf": ["http://www.yongxu.org/paper/Nuclear%20Norm-Based%202-DPCA%20for%20Extracting%20Features%20From%20Images.pdf"]}, {"id": "3d2c89676fcc9d64aaed38718146055152d22b39", "title": "Nuclear Norm Based 2DPCA", "year": "2013", "pdf": []}, {"id": "a0003e7fe6b135b9cd777782ec3ba2d11e5f7c16", "title": "Uneven Illumination Compensation for Unconstrained Face Recognition Using LBP", "year": "2018", "pdf": []}, {"id": "2d294c58b2afb529b26c49d3c92293431f5f98d0", "title": "Maximum Margin Projection Subspace Learning for Visual Data Analysis", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/mmpp_journal.pdf", "http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/Nikitidis_2014_Maximum_TIP.pdf"]}, {"id": "8bbafa3efb7b96adb95128ea2a30a363bfe06812", "title": "Towards usable authentication on mobile phones : An evaluation of speaker and face recognition on off-the-shelf handsets", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bba/fa3efb7b96adb95128ea2a30a363bfe06812.pdf"]}, {"id": "c4cbef8b1f3a5aee0d9a92ef00971b7c833723aa", "title": "Joint Features for Face Recognition under Variable Illuminations", "year": "2009", "pdf": []}, {"id": "19911c7e66b05d5aa28673608fdfc50ef00591dd", "title": "Recognizing Human Faces: Physical Modeling and Pattern Classification", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1991/1c7e66b05d5aa28673608fdfc50ef00591dd.pdf"]}, {"id": "08517a94cbcd1c2cb39a74db13570c05ec191c58", "title": "Non-ideal class non-point light source quotient image for face relighting", "year": "2011", "pdf": ["http://www.researchgate.net/profile/Xiaohua_Xie/publication/220226821_Non-ideal_class_non-point_light_source_quotient_image_for_face_relighting/links/0c960522adf9ee9257000000.pdf"]}, {"id": "ab68837d09986c592dcab7d08ee6dfb40e02916f", "title": "Enhanced Face Preprocessing and Feature Extraction Methods Robust to Illumination Variation", "year": "2014", "pdf": []}, {"id": "cf7c8bdbfbfd5dbc1cf6a6d47d7b51a6904fa628", "title": "SCAMS: Simultaneous Clustering and Model Selection", "year": "2014", "pdf": []}, {"id": "543454759a1fb6e5f6471034174d4421c9e48aab", "title": "Spatially Adaptive Logarithmic Total Variation Model for Varying Light Face Recognition", "year": "2013", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E96.D/1/E96.D_155/_pdf/-char/en"]}, {"id": "0fee3b9191dc1cef21f54232a23530cd8169d3b2", "title": "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection", "year": "2016", "pdf": []}, {"id": "d93366facc8c28c7312da80b1860993f90739644", "title": "Parameter-free Laplacian centrality peaks clustering", "year": "2017", "pdf": []}, {"id": "cbd1fdb389095f6f2f7f829970f85166eee59d4f", "title": "Illumination and Posture Invariant Face Recognition Using Radon and Nonsubsampled Contourlet Transform", "year": "2009", "pdf": []}, {"id": "3e6b70e5be3dbe688866d8dd4382ce05b201fd28", "title": "Evaluation of Face Recognition Techniques", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3e6b/70e5be3dbe688866d8dd4382ce05b201fd28.pdf"]}, {"id": "68cf263a17862e4dd3547f7ecc863b2dc53320d8", "title": "A comparative study on illumination preprocessing in face recognition", "year": "2013", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/papers/files/2013_PR_hhan_A%20Comparative%20Study%20on%20Illumination%20Preprocessing%20in%20Face%20Recognition.pdf", "https://pdfs.semanticscholar.org/68cf/263a17862e4dd3547f7ecc863b2dc53320d8.pdf"]}, {"id": "d02c54192dbd0798b43231efe1159d6b4375ad36", "title": "3 D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Networks", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/d02c/54192dbd0798b43231efe1159d6b4375ad36.pdf"]}, {"id": "208659475ab6869b2a4eb5fef519bb8f9b43b518", "title": "Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation", "year": "2017", "pdf": []}, {"id": "d3badf073cb7f6e9e140c9cf82a8b017862b1781", "title": "Deep Dictionary Learning: A PARametric NETwork Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04022.pdf"]}, {"id": "2f3ec6d666d7b94b63a104f92859199428b77f78", "title": "An algorithm for human face detection in color image based on Skin color segmentation", "year": "2014", "pdf": []}, {"id": "fb51141b3b65d823a4e8c70c9f7bd4a730694b21", "title": "Cognitive connectionist models for recognition of structured patterns.", "year": "2008", "pdf": []}, {"id": "f93606d362fcbe62550d0bf1b3edeb7be684b000", "title": "Nearest Neighbor Classifier Based on Nearest Feature Decisions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f936/06d362fcbe62550d0bf1b3edeb7be684b000.pdf"]}, {"id": "6cd96f2b63c6b6f33f15c0ea366e6003f512a951", "title": "A New Approach in Solving Illumination and Facial Expression Problems for Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6cd9/6f2b63c6b6f33f15c0ea366e6003f512a951.pdf"]}, {"id": "25110f89ffe3d3c49945b06771d0e27d4a2761e6", "title": "Local directional gradient pattern: a local descriptor for face recognition", "year": "2015", "pdf": []}, {"id": "fd228f05dbc4b5523fb0fbaabf64f22425e63535", "title": "Fast and accurate facial pose estimation by aligning a 3D appearance model", "year": "2004", "pdf": []}, {"id": "2ff6f7e489ae8ff054422444a5e0604e30f3e97b", "title": "Performance evaluation of LBP and LDP rotated and scaled faces", "year": "2012", "pdf": []}, {"id": "72f4aaf7e2e3f215cd8762ce283988220f182a5b", "title": "Active illumination and appearance model for face alignment", "year": "2010", "pdf": ["http://journals.tubitak.gov.tr/elektrik/issues/elk-10-18-4/elk-18-4-13-0906-48.pdf", "http://orbit.dtu.dk/files/9905534/A9D3Ad01.pdf"]}, {"id": "708123b9b4781782b3b3d7c6ba28ca18e3511803", "title": "Efficient algorithms for robust and stable principal component pursuit problems", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7081/23b9b4781782b3b3d7c6ba28ca18e3511803.pdf"]}, {"id": "cd72f92420c6ec9123d4e45b3d14548ffca3185f", "title": "Customized Dictionary Learning for Subdatasets with Fine Granularity", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/mpe/2016/5376087.pdf"]}, {"id": "18532582e506bbcec0b82318e4c65652b913222a", "title": "Illumination Normalization using Quotient Image-based Techniques", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/7b81/4c8d36fdc9287f25bf971429c42a7bc41279.pdf"]}, {"id": "d7647391c9bd4528b44b47774107e64d090054c6", "title": "Face Recognition and Micro-expression based on Discriminant Tensor Subspace Analysis plus Extreme Learning Machine", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d764/7391c9bd4528b44b47774107e64d090054c6.pdf"]}, {"id": "bd97f43f5f077bb7be3cd02b0054f38ccedb531f", "title": "Combining analytic phase and Fourier phase for face recognition", "year": "2011", "pdf": []}, {"id": "4923b630aa6b0a9c966f34f9debef9c0198b406a", "title": "A 3-D surface reconstruction approach based on postnonlinear ICA model", "year": "2005", "pdf": []}, {"id": "720ef31b8fb5076c861fa55f55456ccbc9174132", "title": "Face Recognition : A Literature Review", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/cfdd/b8a408a50177a6e49e498f154ee17fe59761.pdf"]}, {"id": "422fc05b3ef72e96c87b9aa4190efa7c7fb8c170", "title": "Preprocessing Technique for Face Recognition Applications under Varying Illumination Conditions By", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/422f/c05b3ef72e96c87b9aa4190efa7c7fb8c170.pdf"]}, {"id": "458713d5c1dd8ff95865302e51f0f8df22204d91", "title": "ON FACE RECOGNITION USING DIFFERENT PRE-PROCESSING METHODS IN IMAGES CAPTURED UNDER VARIOUS ILLUMINATION AND POSING CONDITIONS", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4587/13d5c1dd8ff95865302e51f0f8df22204d91.pdf"]}, {"id": "2a47fefbe459e468efdda27a68dda9704270cfb8", "title": "An adaptive regularization method for sparse representation", "year": "2014", "pdf": []}, {"id": "e0c0e37b447c2b7b417585f9da750b7f1142fa66", "title": "Combination of Projectional and Locational Decompositions for Robust Face Recognition", "year": "2005", "pdf": ["http://perso.telecom-paristech.fr/~chollet/Biblio/Articles/Domaines/BIOMET/Face/AMFG/Decomp7302170352134528.pdf"]}, {"id": "3624ca25f09f3acbcf4d3a4c40b9e45a29c22b94", "title": "Face recognition using second-order discriminant tensor subspace analysis", "year": "2011", "pdf": ["http://sujingwang.name/publication/neucom11.pdf"]}, {"id": "6ab5a4d1b79df48f82566545ec40f49899ebaf46", "title": "Real-time face tracking and recognition by sparse eigentracker with associative mapping to 3D shape", "year": "2012", "pdf": []}, {"id": "cc03d60b73bc484da847b658ce8bf3abf3d47753", "title": "Face Representation with Gradient orientations and Euler Mapping: Application to Face Recognition", "year": "2014", "pdf": []}, {"id": "9b0859544c570276a1ee85e26b1444569ab10015", "title": "A Universal Image Steganalysis System Based On Double Sparse Representation Classification (DSRC)", "year": "2017", "pdf": []}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", "title": "Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/dc2e/805d0038f9d1b3d1bc79192f1d90f6091ecb.pdf"]}, {"id": "09fb440dd2daf2b93e36dd5df93950f0f3bda685", "title": "Symmetric low-rank representation for subspace clustering", "year": "2016", "pdf": ["https://arxiv.org/pdf/1410.8618.pdf"]}, {"id": "209ac2bac0f4235bea01216a987d87d9380260c7", "title": "Face and palmprint multimodal biometric systems using Gabor\u2013Wigner transform as feature extraction", "year": "2014", "pdf": []}, {"id": "0135747b4d3c9a2d983f7d0d9f4c39e094825149", "title": "Embedded wavelet-based face recognition under variable position", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0135/747b4d3c9a2d983f7d0d9f4c39e094825149.pdf"]}, {"id": "e5737ffc4e74374b0c799b65afdbf0304ff344cb", "title": "A literature survey on robust and efficient eye localization in real-life scenarios", "year": "2013", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr13eye.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf"]}, {"id": "43bf6489abd63992b82f2008b4417a1638955f0c", "title": "Illumination Spaces in YDB and CMU-PIE", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/43bf/6489abd63992b82f2008b4417a1638955f0c.pdf"]}, {"id": "fe88308887b5acef8d7853be42ec46558d613e77", "title": "Structured representation learning from complex data", "year": "2015", "pdf": []}, {"id": "9b5b2fd938a9337475cb90a143cf7568f8f63709", "title": "Illumination Processing in Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b5b/2fd938a9337475cb90a143cf7568f8f63709.pdf"]}, {"id": "3581984f6250fbbc550f2d931fb201763bcd08f2", "title": "A Rank-Constrained Matrix Representation for Hypergraph-Based Subspace Clustering", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3581/984f6250fbbc550f2d931fb201763bcd08f2.pdf"]}, {"id": "588041c603e5ce1cc8d3cfeae702a3439768ae0c", "title": "Face recognition on partially occluded images using compressed sensing", "year": "2014", "pdf": ["http://vahabonline.com/wp-content/uploads/2014/04/Face-recognition-on-partially-occluded-images.pdf"]}, {"id": "fd9ab411dc6258763c95b7741e3d51adf5504040", "title": "Eigenbubbles: An Enhanced Apparent BRDF Representation", "year": "2010", "pdf": ["http://www.cise.ufl.edu/~arunava/papers/icpr10.pdf"]}, {"id": "88590857138505ee524f3adf6da9c57352d917f2", "title": "Random Subspace Two-Dimensional PCA for Face Recognition", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/8859/0857138505ee524f3adf6da9c57352d917f2.pdf"]}, {"id": "886bd160dc8e7ae213940e2bdbd16cc990a56b46", "title": "Sparse Representation Classifier Steered Discriminative Projection", "year": "2010", "pdf": []}, {"id": "815069f591122aa7b388615f944c17c7fa1eff14", "title": "Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling", "year": "2013", "pdf": ["https://arxiv.org/pdf/1205.4133.pdf"]}, {"id": "8309e8f27f3fb6f2ac1b4343a4ad7db09fb8f0ff", "title": "Generic versus Salient Region-Based Partitioning for Local Appearance Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/8309/e8f27f3fb6f2ac1b4343a4ad7db09fb8f0ff.pdf"]}, {"id": "a9af0dc1e7a724464d4b9d174c9cf2441e34d487", "title": "Gabor-scale binary pattern for face recognition", "year": "2016", "pdf": []}, {"id": "b3208346d45215e63d854a28ab61d39a0eb1ee21", "title": "An Illumination Quality Measure for Face Recognition", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Edel_Garcia/publication/220932858_An_Illumination_Quality_Measure_for_Face_Recognition/links/09e415085539b13c21000000.pdf"]}, {"id": "24977d59a5de4eb597347bef00f0c097a641a8dd", "title": "Random projection-based partial feature extraction for robust face recognition", "year": "2015", "pdf": ["http://matlabproject.ir/forms/files/836464.pdf", "https://pdfs.semanticscholar.org/2497/7d59a5de4eb597347bef00f0c097a641a8dd.pdf"]}, {"id": "501096cca4d0b3d1ef407844642e39cd2ff86b37", "title": "Illumination Invariant Face Image Representation Using Quaternions", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/5010/96cca4d0b3d1ef407844642e39cd2ff86b37.pdf"]}, {"id": "72e417b8cb4912c0aa991de75153c3f732ab447d", "title": "Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition", "year": "2012", "pdf": []}, {"id": "8dbe79830713925affc48d0afa04ed567c54724b", "title": "Automatic facial age estimation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8dbe/79830713925affc48d0afa04ed567c54724b.pdf"]}, {"id": "68d1c9d5cf3c4530171d1e88fee777592e00e1f2", "title": "Relaxed collaborative representation for face recognition based low-rank matrix recovery", "year": "2014", "pdf": []}, {"id": "519db7bb7d1778bddfbe3725220756627373d69a", "title": "A Comparative Study of Local Matching Approach for Face Recognition", "year": "2007", "pdf": ["http://www.ecse.rpi.edu/homepages/nagy/CAVIAR_Web/Face_IEEE_TIP_to_appear_2007.pdf", "http://www.ecse.rpi.edu/homepages/nagy/PDF_chrono/2007_Zou_Ji_TIP07.pdf", "http://www.ecse.rpi.edu/homepages/qji/Papers/TIM_FR.pdf", "https://www.ecse.rpi.edu/~nagy/PDF_chrono/2007_Zou_Ji_TIP07.pdf", "https://www.ecse.rpi.edu/~qji/Papers/TIM_FR.pdf"]}, {"id": "6ecd8ee110381e073fe6b4e79029fbb59d2b0e02", "title": "Face recognition via adaptive sparse representations of random patches", "year": "2014", "pdf": ["http://web.ing.puc.cl/~dmery/Prints/Conferences/International/2014-WIFS-MeryBowyer.pdf", "https://pdfs.semanticscholar.org/6ecd/8ee110381e073fe6b4e79029fbb59d2b0e02.pdf"]}, {"id": "1602475fdbcb700f10d17c3c3e80ea92c9ba2c44", "title": "Learning the Nonlinear Geometry of High-Dimensional Data: Models and Algorithms", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6808.pdf"]}, {"id": "6ca8af7d20cec9684a5dbf0bf55f60945e75967e", "title": "Sparse multiple maximum scatter difference for dimensionality reduction", "year": "2017", "pdf": []}, {"id": "79b669abf65c2ca323098cf3f19fa7bdd837ff31", "title": "Efficient tensor based face recognition", "year": "2008", "pdf": ["http://dro.deakin.edu.au/eserv/DU:30044585/venkatesh-efficienttensor-2008.pdf"]}, {"id": "0d52f1ae438a395fadebf04990d0d1750cdd0218", "title": "Face Recognition in Various Illuminations", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0d52/f1ae438a395fadebf04990d0d1750cdd0218.pdf"]}, {"id": "8db609d84190b905913eb2f17f4e558c6e982208", "title": "Face Recognition Using Nonlinear Regression", "year": "2011", "pdf": []}, {"id": "9057044c0347fb9798a9b552910a9aff150385db", "title": "Sparse Representation Based Face Recognition with Limited Labeled Samples", "year": "2013", "pdf": ["http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.bea67e9102061f15.56696a617932303133537061727365526570726573656e746174696f6e2e706466.pdf", "https://cvit.iiit.ac.in/images/ConferencePapers/2013/Vijay2013SparseRepresentation.pdf"]}, {"id": "1d58d83ee4f57351b6f3624ac7e727c944c0eb8d", "title": "Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions", "year": "2007", "pdf": ["http://class.inrialpes.fr/pub/tan-tip09.pdf", "http://eprints.pascal-network.org/archive/00003658/01/08-x-tan-amfg2007.pdf", "http://hal.univ-grenoble-alpes.fr/file/index/docid/565029/filename/TIP-05069-2009.R1-double.pdf", "http://ljk.imag.fr/membres/Bill.Triggs/pubs/Tan-tip10.pdf", "http://parnec.nuaa.edu.cn/papers/conference/2007/xtan-AMFG07a.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/TIP-05069-2009.R1-double.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/amfg07_talk.pdf", "http://www-ljk.imag.fr/Publications/Basilic/com.lmc.publi.PUBLI_Inproceedings@11777a7ff07_7c725c/Tan-amfg07a.pdf", "https://hal.archives-ouvertes.fr/file/index/docid/565029/filename/TIP-05069-2009.R1-double.pdf", "https://hal.archives-ouvertes.fr/hal-00565029/file/TIP-05069-2009.R1-double.pdf", "https://pdfs.semanticscholar.org/6fae/1f1d753c9423eb7d6f69131482d024c27666.pdf", "https://pdfs.semanticscholar.org/8eea/548b7afdbd00b9b5dd2a9c7316dd4979c439.pdf"]}, {"id": "19666b9eefcbf764df7c1f5b6938031bcf777191", "title": "Common and Individual Features Analysis: Beyond Canonical Correlation Analysis", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c3b1/9559f75809d9d9bae151f50561c653015eaa.pdf"]}, {"id": "41c56c69b20b3f0b6c8a625009fc0a4d317e047a", "title": "Integral Local Binary Patterns: A Novel Approach Suitable for Texture-Based Object Detection Tasks", "year": "2010", "pdf": ["http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi/2010/09.11.12.29/doc/70827_2.pdf", "http://www.inf.ufrgs.br/sibgrapi2010/files/F6-VisionLearning.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": "c082afd5928165ccaf6d419aff5d0456d8ef78f3", "title": "Face recognition by fusing binary edge feature and second-order mutual information", "year": "2008", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CyberIntSys_2008/PDFFILES/Papers/P1200.pdf"]}, {"id": "b19e83eda4a602abc5a8ef57467c5f47f493848d", "title": "Heat Kernel Based Local Binary Pattern for Face Representation", "year": "2010", "pdf": ["http://cs.adelaide.edu.au/~hanzi/papers/SPL10.pdf", "http://www.cs.jhu.edu/~hwang/papers/SPL10.pdf"]}, {"id": "90a70b38c5a1b40ac16e18628a7772923cdc5cb5", "title": "Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation", "year": "2012", "pdf": ["https://arxiv.org/pdf/1109.1646.pdf"]}, {"id": "b0d607d5e9e79540c9f2673f2224b2d51be3393c", "title": "Kernel Truncated Regression Representation for Robust Subspace Clustering", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.05108.pdf"]}, {"id": "5b5252addfef181c8a44043664050473dd01e14d", "title": "Face Recognition under Difficult Lighting Conditions and Occlusions", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5b52/52addfef181c8a44043664050473dd01e14d.pdf"]}, {"id": "09fded4954d2df2ccabf5812a0cf5040e627a312", "title": "Face recognition with contiguous occlusion using markov random fields", "year": "2009", "pdf": ["http://people.csail.mit.edu/hmobahi/pubs/iccv09.pdf", "http://perception.csl.illinois.edu/recognition/Files/face_iccv09.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICCV_2009/contents/pdf/iccv2009_135.pdf", "https://www.ideals.illinois.edu/bitstream/handle/2142/74348/B40-DC_242.pdf?isAllowed=y&sequence=2"]}, {"id": "12727bb8a4a1462553a13a253a97c2569cbcba0a", "title": "Study on Different Representation Methods for Subspace Segmentation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1272/7bb8a4a1462553a13a253a97c2569cbcba0a.pdf"]}, {"id": "fa4b5f663d5d600e5ae3cb85ba1d080ab1721add", "title": "Multi-resolutive sparse approximations of d-dimensional data", "year": "2013", "pdf": ["http://pers.ge.imati.cnr.it/patane/Publications_files/patane-CVIU-2013.pdf"]}, {"id": "4a6fcf714f663618657effc341ae5961784504c7", "title": "Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_TIFS_ACSKDA.pdf?dl=0"]}, {"id": "f66a93565b73299cb726b58fe2866d30e34f94c2", "title": "Learning low-rank and discriminative dictionary for image classification", "year": "2014", "pdf": []}, {"id": "5a0ae814be58d319dfc9fd98b058a2476801201c", "title": "Sparse margin\u2013based discriminant analysis for feature extraction", "year": "2012", "pdf": []}, {"id": "4ce68170f85560942ee51465e593b16560f9c580", "title": "Practical Matrix Completion and Corruption Recovery Using Proximal Alternating Robust Subspace Minimization", "year": "2014", "pdf": ["https://arxiv.org/pdf/1309.1539.pdf"]}, {"id": "08ff81f3f00f8f68b8abd910248b25a126a4dfa4", "title": "Symmetric Subspace Learning for Image Analysis", "year": "2014", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/SymmetryConstrInSubspLearn.pdf", "https://research-information.bristol.ac.uk/files/74279764/Ioannis_Pitas_Symmetric_Subspace_Learning_for_Image_Analysis_2014.pdf"]}, {"id": "309e5ae1554d2afc3b94eaea66b8f31ba85c434a", "title": "Bian, Xiao. Sparse and Low-rank Modeling on High Dimensional Data: a Geometric Perspective. (under the Direction of Dr. Hamid Krim.) Sparse and Low-rank Modeling on High Dimensional Data: a Geometric Perspective", "year": "", "pdf": ["https://pdfs.semanticscholar.org/309e/5ae1554d2afc3b94eaea66b8f31ba85c434a.pdf"]}, {"id": "1bc23c771688109bed9fd295ce82d7e702726327", "title": "C 2011 Jianchao Yang Sparse Modeling of High-dimensional Data for Learning and Vision", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bc2/3c771688109bed9fd295ce82d7e702726327.pdf"]}, {"id": "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "title": "Binary Gradient Correlation Patterns for Robust Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60b3/601d70f5cdcfef9934b24bcb3cc4dde663e7.pdf"]}, {"id": "892d47a6e46fb95def22bf4c21a79548457e045e", "title": "Research on Different Representation Methods for Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/892d/47a6e46fb95def22bf4c21a79548457e045e.pdf"]}, {"id": "b084ad222c1fc9409d355d8e54ac3d1e86f2ca18", "title": "Efficient locality-constrained occlusion coding for face recognition", "year": "2017", "pdf": []}, {"id": "42df75080e14d32332b39ee5d91e83da8a914e34", "title": "Illumination Compensation Using Oriented Local Histogram Equalization and its Application to Face Recognition", "year": "2012", "pdf": ["http://www.imlab.tw/wp-content/uploads/2015/11/Illumination-Compensation-Using-Oriented-Local-Histogram-Equalization-and-its-Application-to-Face-Recognition.pdf"]}, {"id": "01379c50c392c104694ccb871a4b6a36d514f102", "title": "Incremental Nystr\u00f6m Low-Rank Decomposition for Dynamic Learning", "year": "2010", "pdf": ["http://sse.tongji.edu.cn/hyli/Publications/icmla2010.pdf"]}, {"id": "1f989aa51b4fea5f109f8ae202c1df91910139ea", "title": "Tensor Locality Sensitive Discriminant Analysis and its Complexity", "year": "2009", "pdf": []}, {"id": "ec440ffc63baa8d150a49c678d99321ad2455c14", "title": "Dimension reduction using collaborative representation reconstruction based projections", "year": "2016", "pdf": []}, {"id": "4040fcb0678f3f138136ad373b4befe89e765fd5", "title": "Graph Multiview Canonical Correlation Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12345.pdf"]}, {"id": "dca13f5fba4a93039958abc7ef94ced7e16e5361", "title": "Robust face recognition via sparse reconstruction vector", "year": "2017", "pdf": []}, {"id": "33792bb27ef392973e951ca5a5a3be4a22a0d0c6", "title": "Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis", "year": "2016", "pdf": []}, {"id": "df413247bea63b75214496d2d2eb2802f74e79a6", "title": "Non-invasive brain stimulation targeting the right fusiform gyrus selectively increases working memory for faces", "year": "2017", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/145215.pdf"]}, {"id": "ab302d79e419348499acbda4a627b67dec89936f", "title": "Robust Correlated and Individual Component Analysis", "year": "2016", "pdf": ["http://eprints.mdx.ac.uk/23764/1/J7.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/single.pdf", "http://research.gold.ac.uk/17321/1/single%5B1%5D.pdf"]}, {"id": "1623b36a5e516dc9fff9c9dbd8101845eba5951a", "title": "Robust block sparse discriminative classification framework.", "year": "2014", "pdf": []}, {"id": "294cc3d492a38f7a6886d55009286efdfb04395d", "title": "Locality sensitive semi-supervised feature selection", "year": "2008", "pdf": ["http://people.cs.uchicago.edu/~xiaofei/Neurocomputing2008-Zhao.pdf"]}, {"id": "035d72b687247d8675e05538d4d0bc9ea4abda47", "title": "K Nearest Neighbor Based Local Sparse Representation Classifier", "year": "2010", "pdf": []}, {"id": "bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53", "title": "Evaluation of PCA and LDA techniques for Face recognition using ORL face database", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bfdc/d4d5cc10c8c64743fc7be7e7ad6709d93b53.pdf"]}, {"id": "d40828fc94806d2941162f8e8118429a799fd3a4", "title": "\u2113\u2080-Motivated Low-Rank Sparse Subspace Clustering.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06580.pdf"]}, {"id": "42cdfa8feefa47abbe849f13df17822494ea331b", "title": "Augmented DT-CWT feature based classification using Regularized Neighborhood Projection Discriminant Analysis for face recognition", "year": "2011", "pdf": []}, {"id": "3f7c4fb00be2124fe8e2e9d48caf86265b6471b7", "title": "Active Subspace: Toward Scalable Low-Rank Learning", "year": "2012", "pdf": ["http://www.lv-nus.org/papers/2012/NC-2012.pdf"]}, {"id": "7e79c3a92f60c55a6970f89acfa152bcf74823e0", "title": "Face Recognition using FSS-DSOP for Small Sample Size Problem with Illumination Variations", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/7e79/c3a92f60c55a6970f89acfa152bcf74823e0.pdf"]}, {"id": "09138ad5ad1aeef381f825481d1b4f6b345c438c", "title": "Low-resolution Face Recognition with Variable Illumination Based on Differential Images", "year": "2012", "pdf": []}, {"id": "684ffa16d86d82688edf52cc2e80b4021607b360", "title": "Fusion of classifiers for illumination robust face recognition", "year": "2009", "pdf": []}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"]}, {"id": "6bac4add406bf0cc30f9e1a7d8a87282dedc7f23", "title": "A Generally Semisupervised Dimensionality Reduction Method with Local and Global Regression Regularizations for Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2625/75acf96a12562d20203f5a74b11cc9b7544e.pdf"]}, {"id": "2485c98aa44131d1a2f7d1355b1e372f2bb148ad", "title": "The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations", "year": "2008", "pdf": []}, {"id": "783f3fccde99931bb900dce91357a6268afecc52", "title": "Adapted Active Appearance Models", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/d1ea/f2cc9dfc6cdbc5468ef2152c46e9111a3f3b.pdf"]}, {"id": "7d8141fd805da71af51205b9218e0768e9371188", "title": "Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines", "year": "2008", "pdf": ["http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/430.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/430.pdf", "http://www.cise.ufl.edu/~arunava/papers/cvpr08-02.pdf"]}, {"id": "324acb08d73ebad775f784dae3434c43a898e46a", "title": "DropELM: Fast neural network regularization with Dropout and DropConnect", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/2_A_Iosifidis_NEUCOM_DropELM.pdf", "https://research-information.bristol.ac.uk/files/74278227/Ioannis_Pitas_DropELM_Fast_Neural_Network_Regularization_with_Dropout_and_DropConnect_2015.pdf"]}, {"id": "8ea56e4697430d1dbc728bad5a6e8ebafcced835", "title": "Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.4044.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": "427762b51ce1a21b5405d581a8ca2bf950163e32", "title": "AN EFFECTIVE FACE RECOGNITION IN VARIOUS LIGHTING CONDITIONS USING LBP/LTP TECHNIQUES", "year": "2015", "pdf": []}, {"id": "642f19468ecf21cf97227b0d50fc1098afb37140", "title": "Face recognition using augmented local binary pattern and Bray Curtis dissimilarity metric", "year": "2015", "pdf": []}, {"id": "5551a03353f571b552125dd4ee57301b69a10c46", "title": "Facial expression recognition using sparse local Fisher discriminant analysis", "year": "2016", "pdf": []}, {"id": "fc64f43cdcf4898b15ddce8b441d2ab9daa324f0", "title": "GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc64/f43cdcf4898b15ddce8b441d2ab9daa324f0.pdf"]}, {"id": "0760b9375db1505e9b9c182e98bb9579dd9197af", "title": "Robust Subspace Discovery through Supervised Low-Rank Constraints", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0ec4/74a15869adaad93147c729843d9b9f7ee728.pdf"]}, {"id": "0ff94e25a8ff3bd5c98899684d0885423fbe4f91", "title": "A Regularized Correntropy Framework for Robust Pattern Recognition", "year": "2011", "pdf": ["http://nlpr-web.ia.ac.cn/2011papers/gjkw/gk38.pdf", "http://www.eecs.qmul.ac.uk/~jason/Research/PreprintVersion/A%20Regularized%20Correntropy%20Framework%20for%20Robust%20Pattern%20Recognition.pdf"]}, {"id": "e4cbe39daed8700a1d6f4a25a3a98645c4f231d0", "title": "A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4cb/e39daed8700a1d6f4a25a3a98645c4f231d0.pdf"]}, {"id": "5e9e72a4e856e38e4ae4f7625db7415a6d843912", "title": "Inverse Rendering of Faces with a 3D Morphable Model", "year": "2012", "pdf": ["http://etheses.whiterose.ac.uk/3215/1/Thesis.pdf"]}, {"id": "2b0d14dbd079b3d78631117b1304d6c1579e1940", "title": "Fractional-Order Embedding Supervised Canonical Correlations Analysis with Applications to Feature Extraction and Recognition", "year": "2016", "pdf": []}, {"id": "f6ce34d6e4e445cc2c8a9b8ba624e971dd4144ca", "title": "Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02928.pdf"]}, {"id": "c4a024d73902462275879fa6133bff22134fcc7e", "title": "When crowds hold privileges: Bayesian unsupervised representation learning with oracle constraints", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c4a0/24d73902462275879fa6133bff22134fcc7e.pdf"]}, {"id": "7c47da191f935811f269f9ba3c59556c48282e80", "title": "Robust eye centers localization with zero-crossing encoded image projections", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.07697.pdf"]}, {"id": "1ff057f2fb8258bd5359cded950a3627bd8ee1f4", "title": "Low-rank embedding for semisupervised face classification", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553704.pdf"]}, {"id": "12f60ce286d625f91e56db29a82923f004875cd7", "title": "Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/12f6/0ce286d625f91e56db29a82923f004875cd7.pdf"]}, {"id": "af657fade7bd78d9916bbf4305bee7170121d8ac", "title": "Significance of dictionary for sparse coding based face recognition", "year": "2012", "pdf": ["http://subs.emis.de/LNI/Proceedings/Proceedings196/245.pdf"]}, {"id": "b9fb66f09b358a4ce167b54eed8c596772a392d9", "title": "Modal Regression based Atomic Representation for Robust Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05861.pdf"]}, {"id": "bbe91ef3ec4303d77a3847aa18fe5d9ef2739566", "title": "Factors that influence algorithm performance in the Face Recognition Grand Challenge", "year": "2009", "pdf": ["http://www.cs.colostate.edu/~draper/papers/beveridge_cviu09.pdf", "http://www.cs.colostate.edu/~ross/research/frgcstudy/frgcCovarsDec08.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=890060", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=890060"]}, {"id": "5e832ea5328cdcc9b4346458672ad8288a56c0a7", "title": "Illumination-robust face recognition with Block-based Local Contrast Patterns", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001418.pdf"]}, {"id": "7636f94ddce79f3dea375c56fbdaaa0f4d9854aa", "title": "Appl . Math . Inf . Sci . 6 No . 2 S pp . 403 S-408 S ( 2012 ) Robust Facial Expression Recognition Using a Smartphone Working against Illumination Variation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7636/f94ddce79f3dea375c56fbdaaa0f4d9854aa.pdf"]}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": []}, {"id": "31ea778b6f5c9c2653eb2bed307ac7b02bcc6894", "title": "Dense error correction via l1-minimization", "year": "2009", "pdf": ["https://arxiv.org/pdf/0809.0199.pdf"]}, {"id": "442cc39db208a66acf3acc22589b13981bb303fd", "title": "Design of Non-Linear Discriminative Dictionaries for Image Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7a29/f29918dca1b627437781de18866ce204118c.pdf"]}, {"id": "9dbae72418fbd5717fe750f1da442e10527519af", "title": "Low-Rank Kernel Subspace Clustering Pan Ji UoA Ian Reid UoA Ravi Garg UoA Hongdong Li ANU", "year": "2017", "pdf": []}, {"id": "5abaaf9c222398caea40d62e45b81a847436b784", "title": "An adaptive gamma correction for image enhancement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5aba/af9c222398caea40d62e45b81a847436b784.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": "a324d61c79fe2e240e080f0dab358aa72dd002b3", "title": "Adaptive noise dictionary construction via IRRPCA for face recognition", "year": "2016", "pdf": []}, {"id": "d9c0489d0c2baa8be219b2bde51364461b53ccab", "title": "Binocular Stereo Vision Based Face Recognition Using Sparse Representation", "year": "2016", "pdf": []}, {"id": "266bf8847801ff302c6f91f899f36269807317ee", "title": "Online Learning for Matrix Factorization and Sparse Coding", "year": "2010", "pdf": ["https://arxiv.org/pdf/0908.0050.pdf"]}, {"id": "24c7554823bb8c1c0729c4ece5f3e50965aea74e", "title": "Robust Computation of Linear Models by Convex Relaxation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1202.4044.pdf"]}, {"id": "966d22958b3738cd73d93a03c1c704a72ad470eb", "title": "Multi-Scale Gradient Invariant for Face Recognition under varying Illumination", "year": "2012", "pdf": []}, {"id": "5d09d5257139b563bd3149cfd5e6f9eae3c34776", "title": "Pattern recognition with composite correlation fi lters designed with multi-objective combinatorial optimization", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5d09/d5257139b563bd3149cfd5e6f9eae3c34776.pdf"]}, {"id": "fccc78bbf95f866687ad10c3749222d884fac79e", "title": "Graph-Based Features Extraction via datum Adaptive Weighted Collaborative Representation for Face Recognition", "year": "2014", "pdf": []}, {"id": "d3be8849ebecd40060644d63c4b3d4e2dc555315", "title": "A novel hybrid approach based on sub-pattern technique and whitened PCA for face recognition", "year": "2009", "pdf": ["http://read.pudn.com/downloads134/ebook/572014/sub.pdf"]}, {"id": "232a44d2d9dca00f1435ab45fa1bd3face438f92", "title": "On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks", "year": "2017", "pdf": []}, {"id": "5834555d239c27369e7a4167bb0c0fed725d761e", "title": "Improved illumination invariant homomorphic filtering using the dual tree complex wavelet transform", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001214.pdf"]}, {"id": "37c8903b087629d66ce3763b0176e9b424f7f106", "title": "Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification", "year": "2016", "pdf": []}, {"id": "7bef608d7eb5ab26856de62a681a1503720e4e9c", "title": "Imitation of Active AppearanceModels", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/7bef/608d7eb5ab26856de62a681a1503720e4e9c.pdf"]}, {"id": "202d8d93b7b747cdbd6e24e5a919640f8d16298a", "title": "Face Classification via Sparse Approximation", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/202d/8d93b7b747cdbd6e24e5a919640f8d16298a.pdf"]}, {"id": "23b3b07cb484bd3aaeaa3728f8977c44f50443f6", "title": "A unified tensor framework for face recognition", "year": "2009", "pdf": ["https://www.researchgate.net/profile/Mihai_Lazarescu3/publication/220600067_A_unified_tensor_framework_for_face_recognition/links/0912f508170cfad7cb000000.pdf"]}, {"id": "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": "bd14bfd765b15425c76f6fd4e83968f9f1097202", "title": "Compact image representation by binary component analysis", "year": "2017", "pdf": []}, {"id": "b2ff5762f7b68ca9d947a374cf3d87e85fc7e752", "title": "Manifold based fisher method for semi-supervised feature selection", "year": "2013", "pdf": []}, {"id": "2220d18368ab2fe730b27525aec94f9a819d13cd", "title": "Analysis of dimensionality reduced local directional pattern on different scales", "year": "2017", "pdf": []}, {"id": "37e35bfa93089930788bbb3eff3d7386906d05cd", "title": "Block-based Deep Belief Networks for face recognition", "year": "2012", "pdf": []}, {"id": "e8fdacbd708feb60fd6e7843b048bf3c4387c6db", "title": "Deep Learning", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e8fd/acbd708feb60fd6e7843b048bf3c4387c6db.pdf"]}, {"id": "fb3d3fae626ed54c0c5899c97a82215befb3df58", "title": "Image irradiance harmonics: a phenomenological model of image irradiance of arbitrary surface reflectance", "year": "2014", "pdf": []}, {"id": "c1fd7ca74cf162e0e0da4dd06105f9755dda4f50", "title": "Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification", "year": "2012", "pdf": []}, {"id": "8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd", "title": "Subspace Clustering via Optimal Direction Search", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.03860.pdf"]}, {"id": "2bdadae8c95f365bb1477c91a38857d2fb413ef5", "title": "Illumination and Expression Invariant Recognition Using SSIM Based Sparse Representation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Roland_Goecke/publication/220929653_Illumination_and_Expression_Invariant_Recognition_Using_SSIM_Based_Sparse_Representation/links/0912f50950224af3d9000000.pdf", "https://pdfs.semanticscholar.org/2bda/dae8c95f365bb1477c91a38857d2fb413ef5.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": "fe11881b6a395f20a7881b40e474cc10ca1d2996", "title": "Adaptive Weber-face for robust illumination face recognition", "year": "2019", "pdf": []}, {"id": "884e1de068accb6cbdc8d3e1bd590a033628baea", "title": "Locality-sensitive kernel sparse representation classification for face recognition", "year": "2014", "pdf": []}, {"id": "b732393cd3877f7e6d3cf3ca033a42415bd6db56", "title": "Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding", "year": "2009", "pdf": ["http://drum.lib.umd.edu/bitstream/handle/1903/9878/Turaga_umd_0117E_10832.pdf?isAllowed=y&sequence=1"]}, {"id": "9447367e4ba6a720ead70a40ac6deceeae478940", "title": "Multiscale Adaptive Representation of Signals: I. The Basic Framework", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.04835.pdf"]}, {"id": "d36950f7ac378a3dbcdd65ee67382a22fa83688f", "title": "A Robust Dimensionality Reduction Method from Laplacian Orientations", "year": "2013", "pdf": []}, {"id": "4c9261b1edda6b21c47412df3069145ecf495565", "title": "Adaptive Face Recognition Based on Image Quality", "year": "2017", "pdf": []}, {"id": "3a2f235fa82b41aee2a45194c1b159f777abffe0", "title": "Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/scliao/papers/Kang-Neucom-2014-KCDSRC-POK-Sup.pdf", "http://www.cbsr.ia.ac.cn/users/scliao/papers/Kang-Neucom-2014-KCDSRC-POK.pdf"]}, {"id": "34a41ec648d082270697b9ee264f0baf4ffb5c8d", "title": "Integration of multi-feature fusion and dictionary learning for face recognition", "year": "2013", "pdf": ["http://www.cs.zju.edu.cn/people/wangdh/papers/IVC.pdf?doi=10.1016/j.imavis.2013.10.002&domain=f"]}, {"id": "eb92705f6920a5eca702066a0914cf74688e928d", "title": "Symmetrical singular value decomposition representation for pattern recognition", "year": "2016", "pdf": []}, {"id": "b21b860cf21edb2e57f62b665203e5d8b64829d5", "title": "Extended feed forward neural networks with random weights for face recognition", "year": "2014", "pdf": []}, {"id": "735be89c989ab7819e2f640960a8895e79913e21", "title": "A Video-Based Door Monitoring System Using Local Appearance-Based Face Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/735b/e89c989ab7819e2f640960a8895e79913e21.pdf"]}, {"id": "34f9b561885198d3eaf8de2b6441d0a8aaeb9efa", "title": "Fast randomized Singular Value Thresholding for Nuclear Norm Minimization", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00296.pdf"]}, {"id": "d54f508c943b8415bfdd30d9210869ec93ff3f03", "title": "A method of illumination compensation for human face image based on quotient image q", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/d54f/508c943b8415bfdd30d9210869ec93ff3f03.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": "17dcd3df2bc6e7c654ba412b2ce14c79f337f47d", "title": "Contourlet-Based Feature Extraction with LPP for Face Recognition", "year": "2011", "pdf": []}, {"id": "37a23e76674e606ce779131d2c93496e8a53bb2f", "title": "The discrete cosine transform ( DCT ) plus local normalization : a novel two-stage method for de-illumination in face recognition", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/37a2/3e76674e606ce779131d2c93496e8a53bb2f.pdf"]}, {"id": "c5ed62f2b57e03d0a2e0cf13772b216ffad30c19", "title": "Robustness of DR-LDP over PCANet for face analysis", "year": "2017", "pdf": []}, {"id": "a9ebeca46445b8af728118b05e56d95d4985000c", "title": "Restricted Isometry Property of Subspace Projection Matrix Under Random Compression", "year": "2015", "pdf": ["https://arxiv.org/pdf/1502.02245.pdf"]}, {"id": "13aac86217231a7d118ecdff444ee07234fcff50", "title": "Classification via Incoherent Subspaces", "year": "2010", "pdf": ["https://arxiv.org/pdf/1005.1471.pdf"]}, {"id": "66810438bfb52367e3f6f62c24f5bc127cf92e56", "title": "Face Recognition of Illumination Tolerance in 2 D Subspace Based on the Optimum Correlation Filter", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6681/0438bfb52367e3f6f62c24f5bc127cf92e56.pdf"]}, {"id": "940865fc3f7ee5b386c4188c231eb6590db874e9", "title": "Security and Surveillance System for Drivers Based on User Profile and learning systems for Face Recognition", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9408/65fc3f7ee5b386c4188c231eb6590db874e9.pdf"]}, {"id": 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"741109fea9da1102ea59af39aa44e8846c966151", "title": "Two-Stage Tensor Locality-Preserving Projection Face Recognition", "year": "2016", "pdf": []}, {"id": "e2c09f29ac989a40a7cf8a24b44db7281a188758", "title": "Non-Lambertian Model-based Facial Shape Recovery from Single Image Under Unknown General Illumination", "year": "2012", "pdf": []}, {"id": "38558bd53b5bab485ca4abca35a0401c0c387883", "title": "Illumination Invariant Face Recognition Using Quaternion-Based Correlation Filters", "year": "2012", "pdf": ["http://www.researchgate.net/profile/Edel_Garcia/publication/232274793_Illumination_Invariant_Face_Recognition_Using_Quaternion-Based_Correlation_Filters/links/0fcfd508566ce7cd58000000.pdf", "https://pdfs.semanticscholar.org/3855/8bd53b5bab485ca4abca35a0401c0c387883.pdf"]}, {"id": "bf7df7f49bc6b75568b008032822285cc09607cc", "title": "An evidential reasoning based classification algorithm and its application for face recognition with class noise", "year": "2012", "pdf": []}, {"id": 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"http://www.ee.columbia.edu/~xmwu/papers/CVPR-2015-Laplacian.pdf", "http://www.ee.columbia.edu/~zgli/papers/CVPR-2015-Laplacian%20Similarity%20Search.pdf"]}, {"id": "06ce9ba74589ca179296318a76e882fe610b729b", "title": "Adaptive affinity matrix for unsupervised metric learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1511.04153.pdf"]}, {"id": "f16e931dbe640660562e903c71f2676144a327b7", "title": "Spatial regularization in subspace learning for face recognition: implicit vs. explicit", "year": "2016", "pdf": ["http://parnec.nuaa.edu.cn/pubs/songcan%20chen/journal/2016/TQNC-2016.pdf"]}, {"id": "5e5e11e143140cc376db466d5b096a54b900c2ba", "title": "Face Recognition in Uncontrolled Environment", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5e5e/11e143140cc376db466d5b096a54b900c2ba.pdf"]}, {"id": "d53c66005a00207fd75845210ef4bb7b4dc290b0", "title": "Objects Reconstruction By Compressive Sensing from Single-pixel Registrations Using DMD", "year": "2018", "pdf": []}, {"id": "8d152057cdc4eb0da992483e120fccce13075651", "title": "Sparse subspace clustering for data with missing entries and high-rank matrix completion", "year": "2017", "pdf": []}, {"id": "3ce8b89c34a3d22659e65305a36cfa4685643d93", "title": "Feature Selection Embedded Subspace Clustering", "year": "2016", "pdf": []}, {"id": "bfb98423941e51e3cd067cb085ebfa3087f3bfbe", "title": "Sparseness helps: Sparsity Augmented Collaborative Representation for Classification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.08956.pdf"]}, {"id": "3514140d9c2e692abed0aebe0531f78c250f5806", "title": "Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering", "year": "2018", "pdf": ["https://arxiv.org/pdf/1707.05446.pdf"]}, {"id": "c0e5a471179d2d8c7025febe77a90c3a99c7c9fa", "title": "Learning With \u21131-Graph for Image Analysis", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/c0e5/a471179d2d8c7025febe77a90c3a99c7c9fa.pdf"]}, {"id": "daf4dfc87cac71f1293e5269ade8e7bc7c9c42b9", 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"http://www.columbia.edu/~jw2966/papers/WWGZMM12-PAMI.pdf", "http://yima.csl.illinois.edu/psfile/PAMI-facesystem.pdf"]}, {"id": "1b90507f02967ff143fce993a5abbfba173b1ed0", "title": "Gradient-DCT (G-DCT) descriptors", "year": "2014", "pdf": ["http://mrl.cs.vsb.cz/publications/fusek_ipta_2014.pdf"]}, {"id": "3805d47da61527137b6f44b92af3017a2dfe7bd5", "title": "Greedy column subset selection for large-scale data sets", "year": "2014", "pdf": ["https://arxiv.org/pdf/1312.6838.pdf"]}, {"id": "1ea4347def5868c622d7ce57cbe171fa68207e2b", "title": "Analysis of WD Face Dictionary for Sparse Coding Based Face Recognition", "year": "2013", "pdf": []}, {"id": "75113a9e6a065e25cff08de01b7893825eb58641", "title": "Face recognition via local sparse coding", "year": "2011", "pdf": []}, {"id": "2a4b693127a28a2c56914bd2e5b99ea0f0883176", "title": "Screening Tests for Lasso Problems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1405.4897.pdf"]}, {"id": "5ca50e0cad9b066dab61644e3cb6be773c9d6136", 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"4511e09ee26044cb46073a8c2f6e1e0fbabe33e8", "title": "Interesting faces: A graph-based approach for finding people in news", "year": "2010", "pdf": ["http://www.cs.bilkent.edu.tr/~duygulu/Thesis/DeryaOzkanPresentation.pdf", "http://www.cs.bilkent.edu.tr/~duygulu/Thesis/DeryaOzkanThesis.pdf", "http://yoksis.bilkent.edu.tr/pdf/files/10.1016-j.patcog.2009.10.015.pdf"]}, {"id": "4ae3bf19b9e8e6fba4f8589a57a0c1336ca56141", "title": "Adaptively Unified Semi-Supervised Dictionary Learning with Active Points", "year": "2015", "pdf": []}, {"id": "ba59052195901768cd8b0336d0c7cb4882ef642f", "title": "Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization", "year": "2014", "pdf": []}, {"id": "a915feed51493490157e8211360d3bf53743e3c9", "title": "Wavelet Based Illumination Invariant Preprocessing in Face Recognition", "year": "2008", "pdf": []}, {"id": "d9c4b1ca997583047a8721b7dfd9f0ea2efdc42c", "title": "Learning Inference Models for Computer Vision", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00069.pdf"]}, {"id": "d1bd956a8523629ed4e2533b01272f22cea534c6", "title": "An illumination normalization model for face recognition under varied lighting conditions", "year": "2010", "pdf": []}, {"id": "6253515390d484e4a13b69f4f5d495f5d5e9c0ba", "title": "Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis", "year": "2015", "pdf": []}, {"id": "2434ea848bfc5bbe77bdabe8fe346290a60e9537", "title": "Robust Stochastic Principal Component Analysis", "year": "2014", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v33/goes14.pdf", "http://jmlr.org/proceedings/papers/v33/goes14.pdf"]}, {"id": "acd5b6e9bb6a87a028aeb33c805e352ad98ade02", "title": "Low-rank representation based discriminative projection for robust feature extraction", "year": "2013", "pdf": ["http://patternrecognition.cn/lowrank/2013/2013_Neurocomputing_Zhang.pdf"]}, {"id": "c4b8da56721ff2e6cde29e8250cd4f71b37422fd", "title": "Robust Low-Rank Representation via Correntropy", "year": "2013", "pdf": []}, {"id": "ae05a5256cc9463fd3bd50931751aab805b7af77", "title": "Float greedy-search-based subspace clustering", "year": "2015", "pdf": []}, {"id": "1b5d445741473ced3d4d33732c9c9225148ed4a1", "title": "Improved Cross-Label Suppression Dictionary Learning for Face Recognition", "year": "2018", "pdf": []}, {"id": "2751cab92020cf332f745536a04d71c3658c91e7", "title": "Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering", "year": "2015", "pdf": []}, {"id": "d3cd2102ab7c374ffab25eb4945592a00033893e", "title": "Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold", "year": "2017", "pdf": ["http://www.cvlab.cs.tsukuba.ac.jp/index.php?file=ICPRAM2017_paper.pdf&pcmd=open&plugin=attach&refer=Ryoma+Yataka", "http://www.scitepress.org/Papers/2017/62047/62047.pdf"]}, {"id": "8b8dd053aae04f000e8b9d38f7397d7f1a3b5e99", "title": "Joint sparse principal component analysis", "year": "2017", "pdf": ["http://www.comp.hkbu.edu.hk/~ymc/papers/journal/PR-D-16-00081_publication_version.pdf", "http://www.hezhenyu.cn/UpLoadFiles/Papers/Joint%20Sparse%20Principal%20Component%20Analysis.pdf"]}, {"id": "af1fa9d29512fc8f4c07efdf75d3f640567a5262", "title": "Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/af1f/a9d29512fc8f4c07efdf75d3f640567a5262.pdf"]}, {"id": "46e24761446ca5eddc4fb9ea51d846b6b2609499", "title": "Facial Recognition understanding and Differences Between PCA ( Principal Component Analysis ) and LDA ( Linear Discriminant Analysis )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/46e2/4761446ca5eddc4fb9ea51d846b6b2609499.pdf"]}, {"id": "a93c3dc4efaa80382210f5f8395ac9b04a485f45", "title": "Noisy Subspace Clustering via Matching Pursuits", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03450.pdf"]}, {"id": "4b04247c7f22410681b6aab053d9655cf7f3f888", "title": "Robust Face Recognition by Constrained Part-based Alignment", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04717.pdf"]}, {"id": "391642ec5ade3579654a14c3644af6f086af0158", "title": "Comparison of PCA and LDA based face recognition algorithms under illumination variations", "year": "2009", "pdf": []}, {"id": "28c14a6c64518c21888afb2d73fe8dff633ca4da", "title": "Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/28c1/4a6c64518c21888afb2d73fe8dff633ca4da.pdf"]}, {"id": "4bb9c5f1ef1240486374f4f80d8f65921f74c1ad", "title": "Double linear regressions for single labeled image per person face recognition", "year": "2014", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/24686.pdf", "http://www.researchgate.net/profile/Shasha_Mao/publication/259507448_Double_linear_regressions_for_single_labeled_image_per_person_face_recognition/links/0c960530c0667a91ab000000.pdf"]}, {"id": "bdf5434648356ce22bdbf81d2951e4bb00228e4d", "title": "A Half Face Recognition Scheme", "year": "2007", "pdf": []}, {"id": "de26c1560db47f63ef2dc8171d7c2c52369ffede", "title": "Mathematically inspired approaches to face recognition in uncontrolled conditions : super resolution and compressive sensing", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/de26/c1560db47f63ef2dc8171d7c2c52369ffede.pdf"]}, {"id": "96e7142ab905c54c033696ac3692e85692c43bf3", "title": "Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1402.1879.pdf"]}, {"id": "6a8743973e24c39b33ff50e023447daecbd9f25c", "title": "Efficient Time Series Classification via Sparse Linear Combination", "year": "2017", "pdf": []}, {"id": "f6dabb4d91bf7389f3af219d486d4e67cec18c17", "title": "Vector projection for face recognition", "year": "2014", "pdf": []}, {"id": "695b040a9550a46b5ffe31e4a6abbadfac02c1ad", "title": "Face recognition with illumination distinction description", "year": "2012", "pdf": ["http://vision.unipv.it/corsi/computervision/secondchoice/0307%20Face%20Recognition%20with%20Illumination%20Distinction%20Description%20-%20Copia.pdf"]}, {"id": "04072a097a2ac6a0ee9132bb61bc95bd68bb0621", "title": "Adaptive Low-Rank Kernel Subspace Clustering", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04974.pdf"]}, {"id": "ae4e2c81c8a8354c93c4b21442c26773352935dd", "title": "On the kernel Extreme Learning Machine classifier", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/1_A_Iosifidis_PRL_onKELM.pdf"]}, {"id": "256ef946b4cecd8889df8d799d0c9175ae986af9", "title": "Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/cd73/8347673151b378f447119fe2665f5c8c2215.pdf", "https://www.researchgate.net/profile/Muhammad_Siddiqi2/publication/273003972_Human_Facial_Expression_Recognition_Using_Stepwise_Linear_Discriminant_Analysis_and_Hidden_Conditional_Random_Fields/links/54f54d120cf2ba6150657d84.pdf"]}, {"id": "d78077a7aa8a302d4a6a09fb9737ab489ae169a6", "title": "Robust Face Recognition with Structural Binary Gradient Patterns", "year": "2017", "pdf": ["https://arxiv.org/pdf/1506.00481.pdf"]}, {"id": "49b2545b8b9ed81cc547ec974e0b61d01b7bc759", "title": "Examplers based image fusion features for face recognition", "year": "2012", "pdf": ["https://arxiv.org/pdf/1201.5947.pdf"]}, {"id": "8f2e83f6d70b9e161ad714fee79ed6d23ae2a93f", "title": "Image Intelligent Detection Based on the Gabor Wavelet and the Neural Network", "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/11/130/pdf"]}, {"id": "cd1a26f151cf6bb7aad90a7ca939df5bcbceca00", "title": "Sparse representation for robust face recognition by dictionary decomposition", "year": "2017", "pdf": []}, {"id": "40012a8e480a1724cce1a71e2b8584332225492b", "title": "Greedy algorithm for subspace clustering from corrupted and incomplete data", "year": "2015", "pdf": ["https://arxiv.org/pdf/1306.1716.pdf"]}, {"id": "6b1b43d58faed7b457b1d4e8c16f5f7e7d819239", "title": "A multi-task model for simultaneous face identification and facial expression recognition", "year": "2016", "pdf": ["http://cse.seu.edu.cn/PersonalPage/xgeng/files/neurocomputing16.pdf", "https://pdfs.semanticscholar.org/6b1b/43d58faed7b457b1d4e8c16f5f7e7d819239.pdf"]}, {"id": "cca228b47a603a9b9e2a1e3a1b278b35612d078d", "title": "Randomized Face Recognition on Partially Occluded Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cca2/28b47a603a9b9e2a1e3a1b278b35612d078d.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": "56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac", "title": "Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/56d4/eeb7fcdfd4f3156b9bdd20a9f35c995ebcac.pdf"]}, {"id": "9a0fd1341c567c23b8d5cfad7d6d2141b6313273", "title": "Face recognition under large illumination variations using homomorphic filtering in spatial domain", "year": "2014", "pdf": []}, {"id": "04adf2e51df06a03b6decf520b0952a54a538a18", "title": "Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.05901.pdf"]}, {"id": "5b011cbd450bb859700bc6ff5e525ae1d2a4c521", "title": "Face Recognition System based on Single Image under Varying Illuminations and Facial Expressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e30c/afc1156d5aec53141fa46f0da79961baa4f5.pdf"]}, {"id": "982fed5c11e76dfef766ad9ff081bfa25e62415a", "title": "Undersampled Face Recognition via Robust Auxiliary Dictionary Learning", "year": "2015", "pdf": ["http://www.citi.sinica.edu.tw/papers/ycwang/4607-F.pdf", "https://pdfs.semanticscholar.org/c7fa/d91ba4e33f64d584c928b1200327815f09e6.pdf"]}, {"id": "ae8cc8db9e05c79adad03da64a4a9ba0b00f4eb5", "title": "Large Scale Local Online Similarity/Distance Learning Framework based on Passive/Aggressive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01900.pdf"]}, {"id": "2f4be1b5655df160c31cb132172922e0f440857c", "title": "A Blur-Robust Descriptor with Applications to Face Recognition", "year": "2012", "pdf": ["http://www.research.att.com/export/sites/att_labs/techdocs/TD_100767.pdf"]}, {"id": "b73fdae232270404f96754329a1a18768974d3f6", "title": "International Journal of Advanced Robotic Systems Local Relation Map : A Novel Illumination Invariant Face Recognition Approach Regular Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b73f/dae232270404f96754329a1a18768974d3f6.pdf"]}, {"id": "70eb48e06d9d5edf84246b772673b6d44af4b3c6", "title": "ROBUST LDP BASED FACE DESCRIPTOR", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/70eb/48e06d9d5edf84246b772673b6d44af4b3c6.pdf"]}, {"id": "a98c435e83bc71738ea215a329f49a26c2730255", "title": "Superpixels for large dataset subspace clustering", "year": "2018", "pdf": []}, {"id": "2ae6bcd37f5aecb84a9222331b80c84a3c65e05f", "title": "Blur and Illumination Robust Face Recognition via Set-Theoretic Characterization", "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/handle/1903/14302/Vageeswaran_umd_0117N_14278.pdf?isAllowed=y&sequence=1", "http://www.ece.rice.edu/~km23/files/paper/blurFaceTIP.pdf", "http://www.umiacs.umd.edu/~kmitra/files/paper/blurFaceTIP.pdf"]}, {"id": "09d7aa7d856e08ab07074364ffb2c19c2ec5022d", "title": "Illumination invariant recognition and 3D reconstruction of faces using desktop optics.", "year": "2011", "pdf": []}, {"id": "796e5cd7913665dc5f2a228817911432e1916d12", "title": "Unsupervised Feature Selection With Ordinal Preserving Self-Representation", "year": "2018", "pdf": []}, {"id": "8ab183883acba0501c3315a914aee755b5e517d8", "title": "Synthesis-based Robust Low Resolution Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1707.02733.pdf"]}, {"id": "599b7e1b4460c8ad77def2330ec76a2e0dfedb84", "title": "Robust Subspace Clustering via Smoothed Rank Approximation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.04467.pdf"]}, {"id": "4e4e8fc9bbee816e5c751d13f0d9218380d74b8f", "title": "Tone-aware sparse representation for face recognition", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553711.pdf"]}, {"id": "143b54525bdda1f83965002616a4e7b5b9f523a3", "title": "A probabilistic patch based image representation using Conditional Random Field model for image classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06797.pdf"]}, {"id": "30a4b4ef252cb509b58834e7c40862124c737b61", "title": "Improved LRC Based on Combined Virtual Training Samples for Face Recognition", "year": "2016", "pdf": []}, {"id": "3fb689c0f1db224d53d9fdaee578d3ff8522f807", "title": "Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking", "year": "2007", "pdf": ["http://vcg.engr.ucr.edu/publications/integratingmotion.pdf"]}, {"id": "68c586e81f593904221598f7ababb97570dbfe63", "title": "An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition", "year": "2016", "pdf": []}, {"id": "2e956e178fd50ab140f30f9255a83d853c8be210", "title": "Robust Facial Expression Recognition via Compressive Sensing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2e95/6e178fd50ab140f30f9255a83d853c8be210.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": "f42ef7968d66a93047215ecc8bd0a769deae7db2", "title": "Evaluation of Eigenfaces and Fisherfaces using Bray Curtis dissimilarity metric", "year": "2014", "pdf": []}, {"id": "fbbbbc8fe255191b14608c6d877d9330d35273ca", "title": "A new feature extraction model based on image gradient", "year": "2013", "pdf": []}, {"id": "712609494dd049b44ebfd82698b9305ef07f027b", "title": "Biometric bits extraction through phase quantization based on feature level fusion", "year": "2011", "pdf": ["http://cherup.yonsei.ac.kr/files/Paper/Biometric%20Bits%20Extraction%20through%20Phase%20Quantization%20based%20on%20Feature%20level%20fusion.pdf"]}, {"id": "d411065a097587a9374dc5178e9f6f6c45b965a4", "title": "Locality-preserving descriptor for robust texture feature representation", "year": "2016", "pdf": []}, {"id": "fe8f3472982048290f8af9ada5d920a172d6c362", "title": "Robust and scalable matrix completion", "year": "2016", "pdf": []}, {"id": "2be9144a1e66de127192b01907c862381f4011d1", "title": "Using eye reflections for face recognition under varying illumination", "year": "2005", "pdf": ["http://www.cs.columbia.edu/CAVE/publications/pdfs/Nishino_ICCV05.pdf", "http://www.cs.columbia.edu/~belhumeur/conference/eye-iccv05.pdf", "http://www1.cs.columbia.edu/CAVE/publications/pdfs/Nishino_ICCV05.pdf"]}, {"id": "bb131650627cf2d1da570589f6c540041df1ae92", "title": "Improving the Intra Class Distance using RBSQI Technique for Facial Images with Illumination Variations", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/bb13/1650627cf2d1da570589f6c540041df1ae92.pdf"]}, {"id": "86d2bb930fd4fec5fbeff69d1990007f786b7959", "title": "Sparsity preserving discriminant analysis for single training image face recognition", "year": "2010", "pdf": ["http://parnec.nuaa.edu.cn/papers/journal/2009/qls_prl.pdf", "http://parnec.nuaa.edu.cn/papers/journal/2010/QLS_PRL.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/SPDA.pdf"]}, {"id": "423e8cc1a7501066b7e0e5bb1beb5b9592337023", "title": "Accurate eye center localization using Snakuscule", "year": "2016", "pdf": ["https://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/Garg-WACV2016-Snakascule.pdf"]}, {"id": "89ceaf90a5cd5b4ec15e8f15b2a3befd81dd5f2a", "title": "Canonical Correlation Analysis with Common Graph Priors", "year": "2018", "pdf": []}, {"id": "dedabf9afe2ae4a1ace1279150e5f1d495e565da", "title": "Robust Face Recognition With Structurally Incoherent Low-Rank Matrix Decomposition", "year": "2014", "pdf": ["http://mml.citi.sinica.edu.tw/papers/TIP14_Wei.pdf", "http://www.citi.sinica.edu.tw/papers/ycwang/4156-F.pdf"]}, {"id": "c1178a5e02338270c18d3a80e40e3d03c165586b", "title": "Grassmann Learning for Recognition and Classification", "year": "2014", "pdf": []}, {"id": "38a75d92684122da464a7fb1f9adc8f6acec74da", "title": "Joint representation classification for collective face recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.04617.pdf"]}, {"id": "73be334ecc48751269443b0db2629086125e69f5", "title": "Robust Face Recognition under Difficult Lighting Conditions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/73be/334ecc48751269443b0db2629086125e69f5.pdf"]}, {"id": "fe96f3b0d3280a359651411473ab43b6239434ba", "title": "Fast algorithm for robust subspace recovery", "year": "2014", "pdf": []}, {"id": "d92caea118892a8911e643ca38460b5978bd1889", "title": "Unsupervised learning low-rank tensor from incomplete and grossly corrupted data", "year": "2018", "pdf": []}, {"id": "b11e97d5a12046ded77bc4dc0f762ac3c34e65cb", "title": "BLUR AND ILLUMINATION INVARIANT ROBUST FACE RECOGNITION USING SUPPORT VECTOR MACHINE ( SVM )", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b11e/97d5a12046ded77bc4dc0f762ac3c34e65cb.pdf"]}, {"id": "2a50dfe8d2157e1f75f587601fad8f3d81bbf10c", "title": "Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC", "year": "2017", "pdf": []}, {"id": "8a23861d6d700ffa845dc85f2884355fa686ec37", "title": "Biometric identification system based on Principal Component Analysis", "year": "2016", "pdf": []}, {"id": "c5f22a01fc1abce01393d2e3ed4b8ed91b0e3b4c", "title": "Relative Distance-Based Laplacian Eigenmaps", "year": "2009", "pdf": ["http://nlpr-web.ia.ac.cn/2009papers/gjhy/gh78.pdf"]}, {"id": "6f1278204ee89978cebdd9aced3d9c31c1ad40c0", "title": "Eyeglasses removal of thermal image based on visible information", "year": "2013", "pdf": []}, {"id": "72fc4625f42e0b20962a26d203961bb116809de0", "title": "Sparsity preserving projections with applications to face recognition", "year": "2010", "pdf": ["http://parnec.nuaa.edu.cn/papers/journal/2010/spp.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/SPP.pdf"]}, {"id": "367c571480ac46d48be050dee4e6103a0ebb5db5", "title": "Multimedia Content Based Image Retrieval Iii : Local Tetra", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/367c/571480ac46d48be050dee4e6103a0ebb5db5.pdf"]}, {"id": "8235f2f55ecfc80bd80cc1c2a1e8fe1e50bbec27", "title": "Computationally efficient application of the generic shape-illumination invariant to face recognition from video", "year": "2012", "pdf": []}, {"id": "35b3dc0e961a15a7a60b95490a989f91680acc7c", "title": "Empirical Study of Face Authentication Systems Under OSNFD Attacks", "year": "2018", "pdf": []}, {"id": "564d4ee76c0511bc395dfc8ef8e3b3867fc34a6d", "title": "Robust group sparse representation via half-quadratic optimization for face recognition", "year": "2015", "pdf": ["http://bcmi.sjtu.edu.cn/~pengyong/Pub2015/CCECE2015.pdf"]}, {"id": "11fb122efe711980ec4fb55e49bfbc03f538c462", "title": "Sparse representation for face recognition based on discriminative low-rank dictionary learning", "year": "2012", "pdf": ["http://personal.stevens.edu/~clong/cvpr2012/Sparse%20Representation%20for%20Face%20Recognition%20based%20on%20Discriminative%20Low-Rank%20Dictionary%20Learning.pdf", "https://pdfs.semanticscholar.org/11fb/122efe711980ec4fb55e49bfbc03f538c462.pdf"]}, {"id": "a012b41fc54060e11744db20ef6d191b290f1879", "title": "Unconstrained Face Recognition From Blurred and Illumination with Pose Variant Face Image Using SVM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a012/b41fc54060e11744db20ef6d191b290f1879.pdf"]}, {"id": "0aa56fa873d27d9c83c001a6d0f7d1d3a7c901c8", "title": "Sparsity Preserving-Based Local Fisher Discriminant Analysis with Applications in Face Recognition", "year": "2012", "pdf": []}, {"id": "1244b267758b49978f3a093ba9a66e71ee4ac3e0", "title": "An Overview of Robust Subspace Recovery", "year": "2018", "pdf": []}, {"id": "22dabd4f092e7f3bdaf352edd925ecc59821e168", "title": "Exploiting side information in locality preserving projection", "year": "2008", "pdf": ["http://dro.deakin.edu.au/eserv/DU:30044576/venkatesh-exploitingside-2008.pdf", "http://mplab.ucsd.edu/wordpress/wp-content/uploads/cvpr2008/conference/data/papers/256.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/256.pdf"]}, {"id": "868eb748db8bb5b366c6cae1d14f310767dd6016", "title": "A Generalized Discriminative Least Squares Regression Model", "year": "2017", "pdf": []}, {"id": "fca20ba6e116d8703c8c68bb855ec19e00fed2c6", "title": "Transposed Low Rank Representation for Image Classification", "year": "2012", "pdf": []}, {"id": "d94e77ee8da75691c19e4987369c546bec46354f", "title": "Kernel locality-constrained collaborative representation based discriminant analysis", "year": "2014", "pdf": []}, {"id": "0ef999f06955193aae575b2d00f00d136f546028", "title": "Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classifications", "year": "2013", "pdf": 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Visual Recognition", "year": "2014", "pdf": ["http://drum.lib.umd.edu/bitstream/handle/1903/15895/Shekhar_umd_0117E_15504.pdf?isAllowed=y&sequence=1", "https://drum.lib.umd.edu/bitstream/handle/1903/15895/Shekhar_umd_0117E_15504.pdf;sequence=1"]}, {"id": "74e6110466306f41f703d84bb3d136ba414b1998", "title": "Face Recognition System under Varying Lighting Conditions", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/74e6/110466306f41f703d84bb3d136ba414b1998.pdf"]}, {"id": "3f67083cde69d50a47a5d6407389e7681872f861", "title": "Face Recognition from Unconstrained Images: Progress with Prototypes", "year": "2006", "pdf": []}, {"id": "286eb053f55e45ad5d0490c1c18f6d80381dfb4b", "title": "Block-Sparse Recovery via Convex Optimization", "year": "2012", "pdf": ["https://arxiv.org/pdf/1104.0654.pdf"]}, {"id": "4c55ea9c04d46d60ec5789f4e4c3224c41360768", "title": "Dimensionality Reduction Using Similarity-Induced Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.05692.pdf"]}, 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analysis operator learning for approximately cosparse signals", "year": "2012", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0005409.pdf"]}, {"id": "63eefc775bcd8ccad343433fc7a1dd8e1e5ee796", "title": "Correlation Metric for Generalized Feature Extraction", "year": "2008", "pdf": []}, {"id": "047f6afa87f48de7e32e14229844d1587185ce45", "title": "An Improvement of Energy-Transfer Features Using DCT for Face Detection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/047f/6afa87f48de7e32e14229844d1587185ce45.pdf"]}, {"id": "106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9", "title": "Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.01432.pdf"]}, {"id": "ad7f51b24f4325086b38b468e2057dd0a9725ccc", "title": "Median Filtering-Based Quotient Image Model for Face Recognition with Varying Lighting Conditions", "year": "2009", "pdf": []}, {"id": "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "title": "Kernel dictionary learning based discriminant analysis", "year": "2016", "pdf": []}, {"id": "00533c79ba906cee9441654ada8071150e85f5ad", "title": "Illumination and Expression Invariant Face Recognition: Toward Sample Quality-based Adaptive Fusion", "year": "2008", "pdf": ["http://bear.buckingham.ac.uk/46/1/HSellahewa_SAJassim_BTAS_2008.pdf", "http://www.researchgate.net/profile/Sabah_Jassim/publication/224356994_Illumination_and_Expression_Invariant_Face_Recognition_Toward_Sample_Quality-based_Adaptive_Fusion/links/53fb28a40cf27c365cf07835.pdf"]}, {"id": "4e729427f5cd4be22dad7bef0eb241e93497dbf4", "title": "Model-Driven Domain Adaptation on Product Manifolds for Unconstrained Face Recognition", "year": "2014", "pdf": ["http://www.research.att.com/export/sites/att_labs/techdocs/TD_101412.pdf", "http://www.umiacs.umd.edu/~huytho/papers/HoGopalan_IJCV2014.pdf"]}, {"id": "5d2a9519b5d421a58dbb02b0b836f04ab396525d", "title": "Uncorrelated 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"title": "Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified sparse representation classification", "year": "2015", "pdf": ["http://asandoc.com/wp-content/uploads/edd/2015/11/%D8%AF%D8%A7%D9%86%D9%84%D9%88%D8%AF-%D8%B1%D8%A7%DB%8C%DA%AF%D8%A7%D9%86-%D9%85%D9%82%D8%A7%D9%84%D9%87-%D8%A7%D9%86%DA%AF%D9%84%DB%8C%D8%B3%DB%8C8.pdf"]}, {"id": "560447750f45ea18cb21f202e30344c4fe12c52e", "title": "Removal Of Blurred And Illuminated Face Image With Different Poses", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/5604/47750f45ea18cb21f202e30344c4fe12c52e.pdf"]}, {"id": "7a666a91a47da0d371a9ba288912673bcd5881e4", "title": "Enhanced supervised locally linear embedding", "year": "2009", "pdf": []}, {"id": "2f1ebbcc1ae5e2484cc82c8487243e5b4e6c5b81", "title": "Efficient Face Recognition Using Regularized Adaptive Non-Local Sparse Coding", "year": "2019", "pdf": []}, {"id": "c390fb954a07ecee473e0704ac065875121f6137", "title": "Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization", "year": "2016", "pdf": ["https://arxiv.org/pdf/1504.01777.pdf"]}, {"id": "60a33bcfe4b40cf46772e6aa1ead10489e924847", "title": "Bayesian representation learning with oracle constraints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1506.05011.pdf"]}, {"id": "94ffc269a89bd69b5e33aac26f457d68ec355f36", "title": "Transport-based analysis, modeling, and learning from signal and data distributions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.04767.pdf"]}, {"id": "6a7ec333ccabd41b9d20f05c145b3377f6045f43", "title": "C 2010 Zihan Zhou Face Recognition under Varying Illumination, Pose and Contiguous Occlusion", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/6a7e/c333ccabd41b9d20f05c145b3377f6045f43.pdf"]}, {"id": "8fe7354a92b4c74c22dc0a253dfe7320487d22ab", "title": "LITERATURE SURVEY ON SPARSE REPRESENTATION FOR NEURAL NETWORK BASED FACE DETECTION AND RECOGNITION", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8fe7/354a92b4c74c22dc0a253dfe7320487d22ab.pdf"]}, {"id": "26e1e0d35fd00c5350025ef78c9d1a987e74f396", "title": "Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization", "year": "2018", "pdf": []}, {"id": "68f61154a0080c4aae9322110c8827978f01ac2e", "title": "Recognizing blurred , non-frontal , illumination and expression variant partially occluded faces", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/68f6/1154a0080c4aae9322110c8827978f01ac2e.pdf"]}, {"id": "ac86220efba082f5e9d55938ba7059dbdce87ca8", "title": "Illumination Invariant Face Recognition in quaternion Domain", "year": "2013", "pdf": []}, {"id": "5dc168fce0712bc5dee40aafc4404a1167aa78bc", "title": "Pattern Classification Using Eigenspace Projection", "year": "2012", "pdf": []}, {"id": "865b552d0556f257e1bf3d4ba476199c2e802a27", "title": "Robust nuclear norm regularized regression for face recognition with occlusion", "year": "2015", "pdf": 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Regression", "year": "2017", "pdf": []}, {"id": "b5fd75f0f03a2762f436d59c5e8220c65b649178", "title": "Learning Sparse Orthogonal Wavelet Filters", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5fd/75f0f03a2762f436d59c5e8220c65b649178.pdf"]}, {"id": "4f00f5fe9d762009f524fb97555088769b96328c", "title": "Eye Gaze Tracking System Using . 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"title": "Structured supervised dictionary learning based on class-specific and shared sub-dictionaries", "year": "2017", "pdf": []}, {"id": "f52c80df4e1d465906a8be5bb0bc3fc5a0e147a6", "title": "Learning Robust Representations for Computer Vision", "year": "2017", "pdf": []}, {"id": "e695b8ae49e905bdd240b8a6202ba97c97b12a7b", "title": "An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation", "year": "2018", "pdf": []}, {"id": "1535c185a01c952237ee50788b8123d503a0dd25", "title": "Non intrusive selective facial feature tracking: A fuzzy control approach", "year": "2018", "pdf": []}, {"id": "12e80b3a89bc021a6352840fb4552df842a6fe7d", "title": "Fast sparse representation with prototypes", "year": "2010", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr10a.pdf"]}, {"id": "8f88bcf3b2e0fb9cb09240541d4b65bcdcd89826", "title": "Latent Low-Rank Representation for subspace segmentation and feature extraction", "year": "2011", "pdf": ["http://perception.csl.illinois.edu/matrix-rank/Files/latent_low_rank.pdf"]}, {"id": "4b8049b6bdda55e5a17f9f748aeca2c63afa98ff", "title": "Dimensionality Reduction Using the Sparse Linear Model : Supplementary Material", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/4b80/49b6bdda55e5a17f9f748aeca2c63afa98ff.pdf"]}, {"id": "816c8c8d0f02200f988625d4989a1b4b34d779c6", "title": "An Efficient Hybrid Face Recognition Algorithm Using PCA and GABOR Wavelets Regular Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/816c/8c8d0f02200f988625d4989a1b4b34d779c6.pdf"]}, {"id": "72e51f8d989b4418974ca4f38c42ec10206eae0d", "title": "Diagnosis Prediction from Electronic Health Records Using the Binary Diagnosis History Vector Representation", "year": "2017", "pdf": []}, {"id": "03c53fb96a9acd2ec6ba52a2497410f980793bfa", "title": "Trainable Convolution Filters and Their Application to Face Recognition", "year": "2012", "pdf": 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"1b4b3d0ce900996a6da8928e16370e21d15ed83e", "title": "A Review of Performance Evaluation on 2D Face Databases", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7944942", "http://doi.ieeecomputersociety.org/10.1109/BigDataService.2017.38", "http://doi.org/10.1109/BigDataService.2017.38"]}, {"id": "b93ef6e6be98b4de41bc0de944668eb9fdb781f4", "title": "A Study on Illumination Normalization for 2D Face Verification", "year": "2008", "pdf": [], "doi": []}, {"id": "22288423d1caddf6bd4f678244c071dc2b727be4", "title": "Face Recognition Based on Dual-Tree Complex Wavelet Transform under Low Illumination Environments", "year": "2014", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2683450"]}, {"id": "6643a7feebd0479916d94fb9186e403a4e5f7cbf", "title": "Chapter 8 3 D Face Recognition", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/6643/a7feebd0479916d94fb9186e403a4e5f7cbf.pdf"], "doi": []}, {"id": 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"https://pdfs.semanticscholar.org/e476/cbcb7c1de73a7bcaeab5d0d59b8b3c4c1cbf.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6471239", "http://doi.org/10.1109/TNNLS.2013.2245340", "https://www.ncbi.nlm.nih.gov/pubmed/24808472", "https://www.wikidata.org/entity/Q46195115"]}, {"id": "40c357a9479bc17c170260091aa968f6f6fbaa78", "title": "Bimode Mode for Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659172"]}, {"id": "29d414bfde0dfb1478b2bdf67617597dd2d57fc6", "title": "Perfect histogram matching PCA for face recognition", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/29d4/14bfde0dfb1478b2bdf67617597dd2d57fc6.pdf"], "doi": []}, {"id": "ba99c37a9220e08e1186f21cab11956d3f4fccc2", "title": "A Fast Factorization-Based Approach to Robust PCA", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.08677.pdf"], "doi": []}, {"id": "34c594abba9bb7e5813cfae830e2c4db78cf138c", "title": "Transport-based 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"0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad", "title": "Subspace Learning from Image Gradient Orientations", "year": "2012", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/subspace_igo.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6138864", "http://doi.org/10.1109/TPAMI.2012.40", "https://www.ncbi.nlm.nih.gov/pubmed/22271825", "https://www.wikidata.org/entity/Q43502068"]}, {"id": "900dc8bb7274701d4eacddb71643b6a8a51a3b75", "title": "Expression-Invariant Face Recognition With Constrained Optical Flow Warping", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4815413", "http://doi.org/10.1109/TMM.2009.2017606"]}, {"id": "a513977bcd8cecd2ed1836bf91b31a80a1ebe27b", "title": "Person identification by face recognition on portable device for teaching-aid system: Preliminary report", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7005935"]}, {"id": "8f6d05b8f9860c33c7b1a5d704694ed628db66c7", "title": "Non-linear dimensionality reduction and sparse representation models for facial analysis. (R\u00e9duction de la dimension non-lin\u00e9aire et mod\u00e8les de la repr\u00e9sentations parcimonieuse pour l'analyse du visage)", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/f1db/7f2e05e9c955cd59ac3d9040ab9b406c0b66.pdf"], "doi": []}, {"id": "2116b13eb3af418ef02502715e8f3c98664e699a", "title": "An adaptive sparse representation model by block dictionary and swarm intelligence", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8167207"]}, {"id": "a88640045d13fc0207ac816b0bb532e42bcccf36", "title": "Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction", "year": "2019", "pdf": ["https://arxiv.org/pdf/1709.02896.pdf"], "doi": []}, {"id": "4ff9d14631b46f75fcea833fc0ed8ff2ef3ea855", "title": "A Fast Extension for Sparse Representation on Robust Face Recognition", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5595846"]}, {"id": "35f084ddee49072fdb6e0e2e6344ce50c02457ef", "title": "A bilinear illumination model for robust face recognition", "year": "2005", "pdf": ["http://vcg.seas.harvard.edu/files/pfister/files/iccv05_0.pdf", "http://www.merl.com/publications/docs/TR2005-093.pdf", "https://dash.harvard.edu/bitstream/handle/1/4238979/Lee_Bilinear.pdf?isAllowed=y&sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1544854", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2005.5", "http://doi.org/10.1109/ICCV.2005.5", "https://vcg.seas.harvard.edu/publications/a-bilinear-illumination-model-for-robust-face-recognition/paper"]}, {"id": "d9739d1b4478b0bf379fe755b3ce5abd8c668f89", "title": "Unsupervised approach for the accurate localization of the pupils in near-frontal facial images", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4248/14d74bdc3be23caeec8743fe7b69ba76f39e.pdf"], "doi": []}, {"id": "02a92b79391ddac0acef4f665b396f7f39ca2972", "title": "Fusing landmark-based 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4549752", "http://doi.org/10.1109/TIP.2008.925390", "https://www.ncbi.nlm.nih.gov/pubmed/18632343", "https://www.wikidata.org/entity/Q51872968"]}, {"id": "1a3eee980a2252bb092666cf15dd1301fa84860e", "title": "PCA Gaussianization for image processing", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5413808"]}, {"id": "4fbc0189252ed4fe8f9cffd3ea0ebbb0c621e3ef", "title": "Critical parameters of the sparse representation-based classifier", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1049/iet-cvi.2012.0127"]}, {"id": "30ee29aa8fc9f4566cf65ee3300cfb24d8b80350", "title": "Locality Preserving Projections Based on L1 Graph", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659156"]}, {"id": "ff402bd06c9c4e94aa47ad80ccc4455efa869af3", "title": "ICA filters for lighting invariant face recognition", "year": "2004", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1334120", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334120", "http://doi.org/10.1109/ICPR.2004.1334120"]}, {"id": "bca39960ba46dc3193defe0b286ee0bea4424041", "title": "A decision-boundary-oriented feature selection method and its application to face recognition", "year": "2009", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2009.05.018"]}, {"id": "074fa5163f86175aa338111d553ca6e947a757b3", "title": "Acquiring height data from a single image of a face using local shape indicators", "year": "2006", "pdf": ["http://www-users.cs.york.ac.uk/~erh/rae/face_recon.pdf", "http://www.researchgate.net/profile/Mario_Castelan2/publication/222408384_Acquiring_height_data_from_a_single_image_of_a_face_using_local_shape_indicators/links/0912f51113bbc3d08e000000.pdf"], "doi": ["https://doi.org/10.1016/j.cviu.2006.03.001"]}, {"id": "b9cad920a00fc0e997fc24396872e03f13c0bb9c", "title": "Face liveness detection under bad illumination conditions", "year": "2011", "pdf": ["http://www.ic.unicamp.br/~rocha/pub/papers/2011-icip-spoofing-detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116484", "http://doi.org/10.1109/ICIP.2011.6116484"]}, {"id": "6f74c3885b684e52096497b811692bd766071530", "title": "Low-rank representation with local constraint for graph construction", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.06.013"]}, {"id": "0a5631595a7e6e74b0dc587dc53f065ff2bea417", "title": "Bounds on the Number of Measurements for Reliable Compressive Classification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7542135"]}, {"id": "7bd37e6721d198c555bf41a2d633c4f0a5aeecc1", "title": "Fusing Local Patterns of Gabor and Non-subsampled Contourlet Transform for Face Recognition", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778365", "http://doi.org/10.1109/ACPR.2013.58"]}, {"id": "a1132e2638a8abd08bdf7fc4884804dd6654fa63", "title": "Real-Time Video Face Recognition for Embedded Devices", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2e29/0ac7217b108a1d2c2b67838e979cf73887ab.pdf"], "doi": []}, {"id": "b8f12a17afdfa35a6c3dd7d652fe0acc10bc77ae", "title": "A review on Face Detection and study of Viola Jones method", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b8f1/2a17afdfa35a6c3dd7d652fe0acc10bc77ae.pdf"], "doi": []}, {"id": "5e4fb9b216657cbed1125b3be359ee482168c3e3", "title": "Discriminative graph regularized extreme learning machine and its application to face recognition", "year": "2015", "pdf": ["http://bcmi.sjtu.edu.cn/~pengyong/Pub2015/NEUCOM2015.pdf", "http://www.public.asu.edu/~swang187/publications/NEUCOM2015.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2013.12.065"]}, {"id": "59c91d28363201f421cbfb8819ccc5c53dacb00b", "title": "Expression invariant face recognition using contourlet transform", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001973"]}, {"id": "a3bf6129d1ae136709063a5639eafd8018f50feb", "title": "A linear regression model for estimating facial image quality", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8109741", "http://doi.ieeecomputersociety.org/10.1109/ICCI-CC.2017.8109741", "http://doi.org/10.1109/ICCI-CC.2017.8109741"]}, {"id": "84b5f7c7148555c2d0f156660eb2f3dcaef83ba8", "title": "Multi-scale Integration of Slope Data on an Irregular Mesh", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/84b5/f7c7148555c2d0f156660eb2f3dcaef83ba8.pdf"], "doi": []}, {"id": "67f1f2bec9cdd5cf52b0732349fd7657a45b10f9", "title": "An Approach for Sequential Dictionary Learning in Nonuniform Noise", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227405"]}, {"id": "656aeb92e4f0e280576cbac57d4abbfe6f9439ea", 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"http://doi.ieeecomputersociety.org/10.1109/AIPR.2011.6176355", "http://doi.org/10.1109/AIPR.2011.6176355"]}, {"id": "4b1d6a73e5f54104b1c0fc64642aa5c6f9d2e2a9", "title": "Mixture Matrix Completion", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.00616.pdf"], "doi": []}, {"id": "12d8b28e3da6651ec8518319135be956c8bf0162", "title": "Fast Iterative Kernel Principal Component Analysis", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/21b6/ca44fa76c7dc138e92f0510c1ce43adb3d89.pdf"], "doi": []}, {"id": "7b8cfd54bf9392c91af4c4621d793ede638fc81d", "title": "CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.sigpro.2015.09.026"]}, {"id": "a33f20773b46283ea72412f9b4473a8f8ad751ae", "title": "ROBUST FACE RECOGNITION ON NONLINEAR MANIFOLDS", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/a33f/20773b46283ea72412f9b4473a8f8ad751ae.pdf"], "doi": []}, {"id": "d6a5eb4377e2a67420778eab61b5a89046307bae", "title": "Scale-Space Decomposition and Nearest Linear Combination Based Approach for Face Recognition", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816846", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.37", "http://doi.org/10.1109/CRV.2014.37"]}, {"id": "2d9e30680a17bbdf83ce27287bc1901da7198f74", "title": "Symmetry, probability, and recognition in face space.", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/2d9e/30680a17bbdf83ce27287bc1901da7198f74.pdf"], "doi": []}, {"id": "0d90d046db16d3d5ce70590e6dab32cdd58928f6", "title": "A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification", "year": "2011", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001469.pdf", "http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001469.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5946770", "http://doi.org/10.1109/ICASSP.2011.5946770"]}, {"id": "c9be1001706bcdd8b35fa9cae733c592e90c7ec3", "title": "Robust Face Recognition via Accurate Face Alignment and Sparse Representation", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5692574"]}, {"id": "7a7db5a1325844b62d2ecf8489872c8f515f1c37", "title": "Nuclear Norm-Based 2-DPCA for Extracting Features From Images", "year": "2015", "pdf": ["http://www.yongxu.org/paper/Nuclear%20Norm-Based%202-DPCA%20for%20Extracting%20Features%20From%20Images.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7004860", "http://doi.org/10.1109/TNNLS.2014.2376530", "https://www.ncbi.nlm.nih.gov/pubmed/25585426"]}, {"id": "3d2c89676fcc9d64aaed38718146055152d22b39", "title": "Nuclear Norm Based 2DPCA", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6778285", "http://doi.org/10.1109/ACPR.2013.10"]}, {"id": "a0003e7fe6b135b9cd777782ec3ba2d11e5f7c16", "title": "Uneven Illumination Compensation for Unconstrained Face Recognition Using LBP", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8529518"]}, {"id": "2d294c58b2afb529b26c49d3c92293431f5f98d0", "title": "Maximum Margin Projection Subspace Learning for Visual Data Analysis", "year": "2014", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/mmpp_journal.pdf", "http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/Nikitidis_2014_Maximum_TIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6879493", "http://doi.org/10.1109/TIP.2014.2348868", "https://www.ncbi.nlm.nih.gov/pubmed/25148664", "https://www.wikidata.org/entity/Q30844297"]}, {"id": "8bbafa3efb7b96adb95128ea2a30a363bfe06812", "title": "Towards usable authentication on mobile phones : An evaluation of speaker and face recognition on off-the-shelf handsets", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/8bba/fa3efb7b96adb95128ea2a30a363bfe06812.pdf"], "doi": []}, {"id": "c4cbef8b1f3a5aee0d9a92ef00971b7c833723aa", "title": "Joint Features for Face Recognition under Variable Illuminations", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5437861"]}, {"id": "19911c7e66b05d5aa28673608fdfc50ef00591dd", "title": "Recognizing Human Faces: Physical Modeling and Pattern Classification", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/1991/1c7e66b05d5aa28673608fdfc50ef00591dd.pdf"], "doi": []}, {"id": "08517a94cbcd1c2cb39a74db13570c05ec191c58", "title": "Non-ideal class non-point light source quotient image for face relighting", "year": "2011", "pdf": ["http://www.researchgate.net/profile/Xiaohua_Xie/publication/220226821_Non-ideal_class_non-point_light_source_quotient_image_for_face_relighting/links/0c960522adf9ee9257000000.pdf"], "doi": ["https://doi.org/10.1016/j.sigpro.2010.08.007"]}, {"id": "ab68837d09986c592dcab7d08ee6dfb40e02916f", "title": "Enhanced Face Preprocessing and Feature Extraction Methods Robust to Illumination Variation", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-319-11289-3_23"]}, {"id": "cf7c8bdbfbfd5dbc1cf6a6d47d7b51a6904fa628", "title": "SCAMS: Simultaneous Clustering and Model Selection", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909435"]}, {"id": "543454759a1fb6e5f6471034174d4421c9e48aab", "title": "Spatially Adaptive Logarithmic Total Variation Model for Varying Light Face Recognition", "year": "2013", "pdf": ["https://www.jstage.jst.go.jp/article/transinf/E96.D/1/E96.D_155/_pdf/-char/en"], "doi": ["https://doi.org/10.1587/transinf.E96.D.155", "http://search.ieice.org/bin/summary.php?id=e96-d_1_155"]}, {"id": "0fee3b9191dc1cef21f54232a23530cd8169d3b2", "title": "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7837863", "http://doi.org/10.1109/ICDM.2016.0050"]}, {"id": "d93366facc8c28c7312da80b1860993f90739644", "title": "Parameter-free Laplacian centrality peaks clustering", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2017.10.025"]}, {"id": "cbd1fdb389095f6f2f7f829970f85166eee59d4f", "title": "Illumination and Posture Invariant Face Recognition Using Radon and Nonsubsampled Contourlet Transform", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344076"]}, {"id": "3e6b70e5be3dbe688866d8dd4382ce05b201fd28", "title": "Evaluation of Face Recognition Techniques", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/3e6b/70e5be3dbe688866d8dd4382ce05b201fd28.pdf"], "doi": []}, {"id": "68cf263a17862e4dd3547f7ecc863b2dc53320d8", "title": "A comparative study on illumination preprocessing in face recognition", "year": "2013", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/papers/files/2013_PR_hhan_A%20Comparative%20Study%20on%20Illumination%20Preprocessing%20in%20Face%20Recognition.pdf", "https://pdfs.semanticscholar.org/68cf/263a17862e4dd3547f7ecc863b2dc53320d8.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2012.11.022"]}, {"id": "d02c54192dbd0798b43231efe1159d6b4375ad36", "title": "3 D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Networks", "year": "2007", "pdf": ["https://pdfs.semanticscholar.org/d02c/54192dbd0798b43231efe1159d6b4375ad36.pdf"], "doi": []}, {"id": "208659475ab6869b2a4eb5fef519bb8f9b43b518", "title": "Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100248"]}, {"id": "d3badf073cb7f6e9e140c9cf82a8b017862b1781", "title": "Deep Dictionary Learning: A PARametric NETwork Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.04022.pdf"], "doi": []}, {"id": "2f3ec6d666d7b94b63a104f92859199428b77f78", "title": "An algorithm for human face detection in color image based on Skin color segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6845567"]}, {"id": "fb51141b3b65d823a4e8c70c9f7bd4a730694b21", "title": "Cognitive connectionist models for recognition of structured patterns.", "year": "2008", "pdf": [], "doi": []}, {"id": "f93606d362fcbe62550d0bf1b3edeb7be684b000", "title": "Nearest Neighbor Classifier Based on Nearest Feature Decisions", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/f936/06d362fcbe62550d0bf1b3edeb7be684b000.pdf"], "doi": []}, {"id": "6cd96f2b63c6b6f33f15c0ea366e6003f512a951", "title": "A New Approach in Solving Illumination and Facial Expression Problems for Face Recognition", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/6cd9/6f2b63c6b6f33f15c0ea366e6003f512a951.pdf"], "doi": []}, {"id": "25110f89ffe3d3c49945b06771d0e27d4a2761e6", "title": "Local directional gradient pattern: a local descriptor for face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1007/s11042-015-3111-6"]}, {"id": "fd228f05dbc4b5523fb0fbaabf64f22425e63535", "title": "Fast and accurate facial pose estimation by aligning a 3D appearance model", "year": "2004", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1333784"]}, {"id": "2ff6f7e489ae8ff054422444a5e0604e30f3e97b", "title": "Performance evaluation of LBP and LDP rotated and scaled faces", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493185"]}, {"id": "72f4aaf7e2e3f215cd8762ce283988220f182a5b", "title": "Active illumination and appearance model for face alignment", "year": "2010", "pdf": ["http://journals.tubitak.gov.tr/elektrik/issues/elk-10-18-4/elk-18-4-13-0906-48.pdf", "http://orbit.dtu.dk/files/9905534/A9D3Ad01.pdf"], "doi": ["https://doi.org/10.3906/elk-0906-48"]}, {"id": "708123b9b4781782b3b3d7c6ba28ca18e3511803", "title": "Efficient algorithms for robust and stable principal component pursuit problems", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/7081/23b9b4781782b3b3d7c6ba28ca18e3511803.pdf"], "doi": []}, {"id": "cd72f92420c6ec9123d4e45b3d14548ffca3185f", "title": "Customized Dictionary Learning for Subdatasets with Fine Granularity", "year": "2016", "pdf": ["http://downloads.hindawi.com/journals/mpe/2016/5376087.pdf"], "doi": ["https://doi.org/10.1155/2016%2F5376087"]}, {"id": "18532582e506bbcec0b82318e4c65652b913222a", "title": "Illumination Normalization using Quotient Image-based Techniques", "year": "2008", "pdf": ["https://pdfs.semanticscholar.org/7b81/4c8d36fdc9287f25bf971429c42a7bc41279.pdf"], "doi": []}, {"id": "d7647391c9bd4528b44b47774107e64d090054c6", "title": "Face Recognition and Micro-expression based on Discriminant Tensor Subspace Analysis plus Extreme Learning Machine", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/d764/7391c9bd4528b44b47774107e64d090054c6.pdf"], "doi": []}, {"id": "bd97f43f5f077bb7be3cd02b0054f38ccedb531f", "title": "Combining analytic phase and Fourier phase for face recognition", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6108963"]}, {"id": "4923b630aa6b0a9c966f34f9debef9c0198b406a", "title": "A 3-D surface reconstruction approach based on postnonlinear ICA model", "year": "2005", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1528539"]}, {"id": "720ef31b8fb5076c861fa55f55456ccbc9174132", "title": "Face Recognition : A Literature Review", "year": "2006", "pdf": ["https://pdfs.semanticscholar.org/cfdd/b8a408a50177a6e49e498f154ee17fe59761.pdf"], "doi": []}, {"id": "422fc05b3ef72e96c87b9aa4190efa7c7fb8c170", "title": "Preprocessing Technique for Face Recognition Applications under Varying Illumination Conditions By", "year": "2012", "pdf": 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"Face recognition using second-order discriminant tensor subspace analysis", "year": "2011", "pdf": ["http://sujingwang.name/publication/neucom11.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2011.01.024"]}, {"id": "6ab5a4d1b79df48f82566545ec40f49899ebaf46", "title": "Real-time face tracking and recognition by sparse eigentracker with associative mapping to 3D shape", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1016/j.imavis.2011.12.010"]}, {"id": "cc03d60b73bc484da847b658ce8bf3abf3d47753", "title": "Face Representation with Gradient orientations and Euler Mapping: Application to Face Recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1142/S021800141456014X"]}, {"id": "9b0859544c570276a1ee85e26b1444569ab10015", "title": "A Universal Image Steganalysis System Based On Double Sparse Representation Classification (DSRC)", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-017-5201-0"]}, {"id": "dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb", 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efficient eye localization in real-life scenarios", "year": "2013", "pdf": ["http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pr13eye.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.05.009"]}, {"id": "43bf6489abd63992b82f2008b4417a1638955f0c", "title": "Illumination Spaces in YDB and CMU-PIE", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/43bf/6489abd63992b82f2008b4417a1638955f0c.pdf"], "doi": []}, {"id": "fe88308887b5acef8d7853be42ec46558d613e77", "title": "Structured representation learning from complex data", "year": "2015", "pdf": [], "doi": []}, {"id": "9b5b2fd938a9337475cb90a143cf7568f8f63709", "title": "Illumination Processing in Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9b5b/2fd938a9337475cb90a143cf7568f8f63709.pdf"], "doi": []}, {"id": "3581984f6250fbbc550f2d931fb201763bcd08f2", "title": "A Rank-Constrained Matrix Representation for Hypergraph-Based Subspace Clustering", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3581/984f6250fbbc550f2d931fb201763bcd08f2.pdf"], "doi": []}, {"id": "588041c603e5ce1cc8d3cfeae702a3439768ae0c", "title": "Face recognition on partially occluded images using compressed sensing", "year": "2014", "pdf": ["http://vahabonline.com/wp-content/uploads/2014/04/Face-recognition-on-partially-occluded-images.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2013.08.001"]}, {"id": "fd9ab411dc6258763c95b7741e3d51adf5504040", "title": "Eigenbubbles: An Enhanced Apparent BRDF Representation", "year": "2010", "pdf": ["http://www.cise.ufl.edu/~arunava/papers/icpr10.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5595808", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.417", "http://doi.org/10.1109/ICPR.2010.417"]}, {"id": "88590857138505ee524f3adf6da9c57352d917f2", "title": "Random Subspace Two-Dimensional PCA for Face Recognition", "year": "2007", "pdf": 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Matching Approach for Face Recognition", "year": "2007", "pdf": ["http://www.ecse.rpi.edu/homepages/nagy/CAVIAR_Web/Face_IEEE_TIP_to_appear_2007.pdf", "http://www.ecse.rpi.edu/homepages/nagy/PDF_chrono/2007_Zou_Ji_TIP07.pdf", "http://www.ecse.rpi.edu/homepages/qji/Papers/TIM_FR.pdf", "https://www.ecse.rpi.edu/~nagy/PDF_chrono/2007_Zou_Ji_TIP07.pdf", "https://www.ecse.rpi.edu/~qji/Papers/TIM_FR.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4303157", "http://doi.org/10.1109/TIP.2007.904421", "https://www.ncbi.nlm.nih.gov/pubmed/17926941", "https://www.wikidata.org/entity/Q33302167"]}, {"id": "6ecd8ee110381e073fe6b4e79029fbb59d2b0e02", "title": "Face recognition via adaptive sparse representations of random patches", "year": "2014", "pdf": ["http://web.ing.puc.cl/~dmery/Prints/Conferences/International/2014-WIFS-MeryBowyer.pdf", "https://pdfs.semanticscholar.org/6ecd/8ee110381e073fe6b4e79029fbb59d2b0e02.pdf"], "doi": 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Occlusions", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5b52/52addfef181c8a44043664050473dd01e14d.pdf"], "doi": []}, {"id": "09fded4954d2df2ccabf5812a0cf5040e627a312", "title": "Face recognition with contiguous occlusion using markov random fields", "year": "2009", "pdf": ["http://people.csail.mit.edu/hmobahi/pubs/iccv09.pdf", "http://perception.csl.illinois.edu/recognition/Files/face_iccv09.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_ICCV_2009/contents/pdf/iccv2009_135.pdf", "https://www.ideals.illinois.edu/bitstream/handle/2142/74348/B40-DC_242.pdf?isAllowed=y&sequence=2"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5459383", "http://doi.org/10.1109/ICCV.2009.5459383"]}, {"id": "12727bb8a4a1462553a13a253a97c2569cbcba0a", "title": "Study on Different Representation Methods for Subspace Segmentation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/1272/7bb8a4a1462553a13a253a97c2569cbcba0a.pdf"], "doi": []}, 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extraction", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s00521-012-1124-x"]}, {"id": "4ce68170f85560942ee51465e593b16560f9c580", "title": "Practical Matrix Completion and Corruption Recovery Using Proximal Alternating Robust Subspace Minimization", "year": "2014", "pdf": ["https://arxiv.org/pdf/1309.1539.pdf"], "doi": []}, {"id": "08ff81f3f00f8f68b8abd910248b25a126a4dfa4", "title": "Symmetric Subspace Learning for Image Analysis", "year": "2014", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/SymmetryConstrInSubspLearn.pdf", "https://research-information.bristol.ac.uk/files/74279764/Ioannis_Pitas_Symmetric_Subspace_Learning_for_Image_Analysis_2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6948358", "http://doi.org/10.1109/TIP.2014.2367321", "https://www.ncbi.nlm.nih.gov/pubmed/25376040", "https://www.wikidata.org/entity/Q44012118"]}, {"id": "309e5ae1554d2afc3b94eaea66b8f31ba85c434a", "title": "Bian, Xiao. Sparse and Low-rank Modeling on High Dimensional Data: a Geometric Perspective. (under the Direction of Dr. Hamid Krim.) Sparse and Low-rank Modeling on High Dimensional Data: a Geometric Perspective", "year": "", "pdf": ["https://pdfs.semanticscholar.org/309e/5ae1554d2afc3b94eaea66b8f31ba85c434a.pdf"], "doi": []}, {"id": "1bc23c771688109bed9fd295ce82d7e702726327", "title": "C 2011 Jianchao Yang Sparse Modeling of High-dimensional Data for Learning and Vision", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bc2/3c771688109bed9fd295ce82d7e702726327.pdf"], "doi": []}, {"id": "60b3601d70f5cdcfef9934b24bcb3cc4dde663e7", "title": "Binary Gradient Correlation Patterns for Robust Face Recognition", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/60b3/601d70f5cdcfef9934b24bcb3cc4dde663e7.pdf"], "doi": []}, {"id": "892d47a6e46fb95def22bf4c21a79548457e045e", "title": "Research on Different Representation Methods for Classification", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/892d/47a6e46fb95def22bf4c21a79548457e045e.pdf"], "doi": []}, {"id": "b084ad222c1fc9409d355d8e54ac3d1e86f2ca18", "title": "Efficient locality-constrained occlusion coding for face recognition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.04.001"]}, {"id": "42df75080e14d32332b39ee5d91e83da8a914e34", "title": "Illumination Compensation Using Oriented Local Histogram Equalization and its Application to Face Recognition", "year": "2012", "pdf": ["http://www.imlab.tw/wp-content/uploads/2015/11/Illumination-Compensation-Using-Oriented-Local-Histogram-Equalization-and-its-Application-to-Face-Recognition.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212353", "http://doi.org/10.1109/TIP.2012.2202670", "https://www.ncbi.nlm.nih.gov/pubmed/22692906", "https://www.wikidata.org/entity/Q51355573"]}, {"id": "01379c50c392c104694ccb871a4b6a36d514f102", "title": "Incremental Nystr\u00f6m Low-Rank Decomposition for Dynamic Learning", "year": "2010", "pdf": ["http://sse.tongji.edu.cn/hyli/Publications/icmla2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5708886", "http://doi.ieeecomputersociety.org/10.1109/ICMLA.2010.87", "http://doi.org/10.1109/ICMLA.2010.87"]}, {"id": "1f989aa51b4fea5f109f8ae202c1df91910139ea", "title": "Tensor Locality Sensitive Discriminant Analysis and its Complexity", "year": "2009", "pdf": [], "doi": ["http://doi.org/10.1142/S0219691309003252"]}, {"id": "ec440ffc63baa8d150a49c678d99321ad2455c14", "title": "Dimension reduction using collaborative representation reconstruction based projections", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.01.060"]}, {"id": "4040fcb0678f3f138136ad373b4befe89e765fd5", "title": "Graph Multiview Canonical Correlation Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.12345.pdf"], "doi": []}, {"id": "dca13f5fba4a93039958abc7ef94ced7e16e5361", "title": "Robust face recognition via sparse reconstruction vector", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8333342"]}, {"id": "33792bb27ef392973e951ca5a5a3be4a22a0d0c6", "title": "Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7331304"]}, {"id": "df413247bea63b75214496d2d2eb2802f74e79a6", "title": "Non-invasive brain stimulation targeting the right fusiform gyrus selectively increases working memory for faces", "year": "2017", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/145215.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0278262616301555?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.bandc.2017.01.006", "https://www.ncbi.nlm.nih.gov/pubmed/28107684"]}, {"id": "ab302d79e419348499acbda4a627b67dec89936f", "title": "Robust Correlated and Individual Component Analysis", "year": "2016", "pdf": ["http://eprints.mdx.ac.uk/23764/1/J7.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/single.pdf", "http://research.gold.ac.uk/17321/1/single%5B1%5D.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7317798", "http://doi.org/10.1109/TPAMI.2015.2497700", "https://www.ncbi.nlm.nih.gov/pubmed/26552077", "https://www.wikidata.org/entity/Q40340531"]}, {"id": "1623b36a5e516dc9fff9c9dbd8101845eba5951a", "title": "Robust block sparse discriminative classification framework.", "year": "2014", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25606771", "http://doi.org/10.1364/JOSAA.31.002806"]}, {"id": "294cc3d492a38f7a6886d55009286efdfb04395d", "title": "Locality sensitive semi-supervised feature selection", "year": "2008", "pdf": ["http://people.cs.uchicago.edu/~xiaofei/Neurocomputing2008-Zhao.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2007.06.014"]}, {"id": "035d72b687247d8675e05538d4d0bc9ea4abda47", "title": "K Nearest Neighbor Based Local Sparse Representation Classifier", "year": "2010", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5659128"]}, {"id": "bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53", "title": "Evaluation of PCA and LDA techniques for Face recognition using ORL face database", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/bfdc/d4d5cc10c8c64743fc7be7e7ad6709d93b53.pdf"], "doi": []}, {"id": "d40828fc94806d2941162f8e8118429a799fd3a4", "title": "\u2113\u2080-Motivated Low-Rank Sparse Subspace Clustering.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.06580.pdf"], "doi": []}, {"id": "42cdfa8feefa47abbe849f13df17822494ea331b", "title": "Augmented DT-CWT feature based classification using Regularized Neighborhood Projection Discriminant Analysis for face recognition", "year": "2011", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2010.10.005"]}, {"id": "3f7c4fb00be2124fe8e2e9d48caf86265b6471b7", "title": "Active Subspace: Toward Scalable Low-Rank Learning", "year": "2012", "pdf": ["http://www.lv-nus.org/papers/2012/NC-2012.pdf"], "doi": ["http://doi.org/10.1162/NECO_a_00369", "https://www.ncbi.nlm.nih.gov/pubmed/22970867", "https://www.wikidata.org/entity/Q50785539"]}, {"id": "7e79c3a92f60c55a6970f89acfa152bcf74823e0", "title": "Face Recognition using FSS-DSOP for Small Sample Size Problem with Illumination Variations", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/7e79/c3a92f60c55a6970f89acfa152bcf74823e0.pdf"], "doi": []}, {"id": "09138ad5ad1aeef381f825481d1b4f6b345c438c", "title": "Low-resolution Face Recognition with Variable Illumination Based on Differential Images", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6274634", "http://doi.org/10.1109/IIH-MSP.2012.41"]}, {"id": "684ffa16d86d82688edf52cc2e80b4021607b360", "title": "Fusion of classifiers for illumination robust face recognition", "year": "2009", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2008.11.006"]}, {"id": "e4c3d5d43cb62ac5b57d74d55925bdf76205e306", "title": "Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.02051.pdf"], "doi": []}, {"id": "6bac4add406bf0cc30f9e1a7d8a87282dedc7f23", "title": "A Generally Semisupervised Dimensionality Reduction Method with Local and Global Regression Regularizations for Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2625/75acf96a12562d20203f5a74b11cc9b7544e.pdf"], "doi": []}, {"id": "2485c98aa44131d1a2f7d1355b1e372f2bb148ad", "title": "The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations", "year": "2008", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4404053"]}, {"id": "783f3fccde99931bb900dce91357a6268afecc52", "title": "Adapted Active Appearance Models", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/d1ea/f2cc9dfc6cdbc5468ef2152c46e9111a3f3b.pdf"], "doi": []}, {"id": "7d8141fd805da71af51205b9218e0768e9371188", "title": "Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines", "year": "2008", "pdf": ["http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/430.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/430.pdf", "http://www.cise.ufl.edu/~arunava/papers/cvpr08-02.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587770", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587770", "http://doi.org/10.1109/CVPR.2008.4587770"]}, {"id": "324acb08d73ebad775f784dae3434c43a898e46a", "title": "DropELM: Fast neural network regularization with Dropout and DropConnect", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/2_A_Iosifidis_NEUCOM_DropELM.pdf", "https://research-information.bristol.ac.uk/files/74278227/Ioannis_Pitas_DropELM_Fast_Neural_Network_Regularization_with_Dropout_and_DropConnect_2015.pdf"], "doi": ["https://doi.org/10.1016/j.neucom.2015.04.006"]}, {"id": "8ea56e4697430d1dbc728bad5a6e8ebafcced835", "title": "Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.4044.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "427762b51ce1a21b5405d581a8ca2bf950163e32", "title": "AN EFFECTIVE FACE RECOGNITION IN VARIOUS LIGHTING CONDITIONS USING LBP/LTP TECHNIQUES", "year": "2015", "pdf": [], "doi": []}, {"id": "642f19468ecf21cf97227b0d50fc1098afb37140", "title": "Face recognition using augmented local binary pattern and Bray Curtis dissimilarity metric", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7095267"]}, {"id": "5551a03353f571b552125dd4ee57301b69a10c46", "title": "Facial expression recognition using sparse local Fisher discriminant analysis", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.09.083"]}, {"id": "fc64f43cdcf4898b15ddce8b441d2ab9daa324f0", "title": "GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/fc64/f43cdcf4898b15ddce8b441d2ab9daa324f0.pdf"], "doi": []}, {"id": "0760b9375db1505e9b9c182e98bb9579dd9197af", "title": "Robust Subspace Discovery through Supervised Low-Rank Constraints", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/0ec4/74a15869adaad93147c729843d9b9f7ee728.pdf"], "doi": []}, {"id": "0ff94e25a8ff3bd5c98899684d0885423fbe4f91", "title": "A Regularized Correntropy Framework for Robust Pattern Recognition", "year": "2011", "pdf": ["http://nlpr-web.ia.ac.cn/2011papers/gjkw/gk38.pdf", "http://www.eecs.qmul.ac.uk/~jason/Research/PreprintVersion/A%20Regularized%20Correntropy%20Framework%20for%20Robust%20Pattern%20Recognition.pdf"], "doi": ["http://doi.org/10.1162/NECO_a_00155"]}, {"id": "e4cbe39daed8700a1d6f4a25a3a98645c4f231d0", "title": "A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e4cb/e39daed8700a1d6f4a25a3a98645c4f231d0.pdf"], "doi": []}, {"id": "5e9e72a4e856e38e4ae4f7625db7415a6d843912", "title": "Inverse Rendering of Faces with a 3D Morphable Model", "year": "2012", "pdf": ["http://etheses.whiterose.ac.uk/3215/1/Thesis.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313594", "http://doi.org/10.1109/TPAMI.2012.206", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.564181", "https://www.ncbi.nlm.nih.gov/pubmed/23520253", "https://www.wikidata.org/entity/Q45352440"]}, {"id": "2b0d14dbd079b3d78631117b1304d6c1579e1940", "title": "Fractional-Order Embedding Supervised Canonical Correlations Analysis with Applications to Feature Extraction and Recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-016-9524-z"]}, {"id": "f6ce34d6e4e445cc2c8a9b8ba624e971dd4144ca", "title": "Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02928.pdf"], "doi": []}, {"id": "c4a024d73902462275879fa6133bff22134fcc7e", "title": "When crowds hold privileges: Bayesian unsupervised representation learning with oracle constraints", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c4a0/24d73902462275879fa6133bff22134fcc7e.pdf"], "doi": []}, {"id": "7c47da191f935811f269f9ba3c59556c48282e80", "title": "Robust eye centers localization with zero-crossing encoded image projections", "year": "2015", "pdf": ["https://arxiv.org/pdf/1503.07697.pdf"], "doi": []}, {"id": "1ff057f2fb8258bd5359cded950a3627bd8ee1f4", "title": "Low-rank embedding for semisupervised face classification", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553704.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553704", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553704", "http://doi.org/10.1109/FG.2013.6553704"]}, {"id": "12f60ce286d625f91e56db29a82923f004875cd7", "title": "Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/12f6/0ce286d625f91e56db29a82923f004875cd7.pdf"], "doi": []}, {"id": "af657fade7bd78d9916bbf4305bee7170121d8ac", "title": "Significance of dictionary for sparse coding based face recognition", "year": "2012", "pdf": ["http://subs.emis.de/LNI/Proceedings/Proceedings196/245.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313553", "http://subs.emis.de/LNI/Proceedings/Proceedings196/article23.html"]}, {"id": "b9fb66f09b358a4ce167b54eed8c596772a392d9", "title": "Modal Regression based Atomic Representation for Robust Face Recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.05861.pdf"], "doi": []}, {"id": "bbe91ef3ec4303d77a3847aa18fe5d9ef2739566", "title": "Factors that influence algorithm performance in the Face Recognition Grand Challenge", "year": "2009", "pdf": ["http://www.cs.colostate.edu/~draper/papers/beveridge_cviu09.pdf", "http://www.cs.colostate.edu/~ross/research/frgcstudy/frgcCovarsDec08.pdf", "http://www.nist.gov/customcf/get_pdf.cfm?pub_id=890060", "https://ws680.nist.gov/publication/get_pdf.cfm?pub_id=890060"], "doi": ["http://doi.org/10.1016/j.cviu.2008.12.007"]}, {"id": "5e832ea5328cdcc9b4346458672ad8288a56c0a7", "title": "Illumination-robust face recognition with Block-based Local Contrast Patterns", "year": "2017", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0001418.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952390", "http://doi.org/10.1109/ICASSP.2017.7952390"]}, {"id": "7636f94ddce79f3dea375c56fbdaaa0f4d9854aa", "title": "Appl . Math . Inf . Sci . 6 No . 2 S pp . 403 S-408 S ( 2012 ) Robust Facial Expression Recognition Using a Smartphone Working against Illumination Variation", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7636/f94ddce79f3dea375c56fbdaaa0f4d9854aa.pdf"], "doi": []}, {"id": "e724c9a69613bef36f67ae7ed6850b1942918804", "title": "Recognition of Faces Using Discriminative Features of LBP and HOG Descriptor in Varying Environment", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7546129"]}, {"id": "31ea778b6f5c9c2653eb2bed307ac7b02bcc6894", "title": "Dense error correction via l1-minimization", "year": "2009", "pdf": ["https://arxiv.org/pdf/0809.0199.pdf"], "doi": []}, {"id": "442cc39db208a66acf3acc22589b13981bb303fd", "title": "Design of Non-Linear Discriminative Dictionaries for Image Classification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/7a29/f29918dca1b627437781de18866ce204118c.pdf"], "doi": []}, {"id": "9dbae72418fbd5717fe750f1da442e10527519af", "title": "Low-Rank Kernel Subspace Clustering Pan Ji UoA Ian Reid UoA Ravi Garg UoA Hongdong Li ANU", "year": "2017", "pdf": [], "doi": []}, {"id": "5abaaf9c222398caea40d62e45b81a847436b784", "title": "An adaptive gamma correction for image enhancement", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5aba/af9c222398caea40d62e45b81a847436b784.pdf"], "doi": []}, {"id": "28525f9bb0797fdf7c0a8a9d1666015c60610077", "title": "Development of Mobile Face Verification Based on Locally Normalized Gabor Wavelets", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/2852/5f9bb0797fdf7c0a8a9d1666015c60610077.pdf"], "doi": []}, {"id": "a324d61c79fe2e240e080f0dab358aa72dd002b3", "title": "Adaptive noise dictionary construction via IRRPCA for face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.02.005"]}, {"id": "d9c0489d0c2baa8be219b2bde51364461b53ccab", "title": "Binocular Stereo Vision Based Face Recognition Using Sparse Representation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7695190", "http://doi.org/10.1109/INCoS.2016.10"]}, {"id": "266bf8847801ff302c6f91f899f36269807317ee", "title": "Online Learning for Matrix Factorization and Sparse Coding", "year": "2010", "pdf": ["https://arxiv.org/pdf/0908.0050.pdf"], "doi": []}, {"id": "24c7554823bb8c1c0729c4ece5f3e50965aea74e", "title": "Robust Computation of Linear Models by Convex Relaxation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1202.4044.pdf"], "doi": []}, {"id": "966d22958b3738cd73d93a03c1c704a72ad470eb", "title": "Multi-Scale Gradient Invariant for Face Recognition under varying Illumination", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1142/S0218001412560162"]}, {"id": "5d09d5257139b563bd3149cfd5e6f9eae3c34776", "title": "Pattern recognition with composite correlation fi lters designed with multi-objective combinatorial optimization", "year": "2014", 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invariant homomorphic filtering using the dual tree complex wavelet transform", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001214.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471869", "http://doi.org/10.1109/ICASSP.2016.7471869"]}, {"id": "37c8903b087629d66ce3763b0176e9b424f7f106", "title": "Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7423815"]}, {"id": "7bef608d7eb5ab26856de62a681a1503720e4e9c", "title": "Imitation of Active AppearanceModels", "year": "2010", "pdf": ["https://pdfs.semanticscholar.org/7bef/608d7eb5ab26856de62a681a1503720e4e9c.pdf"], "doi": []}, {"id": "202d8d93b7b747cdbd6e24e5a919640f8d16298a", "title": "Face Classification via Sparse Approximation", "year": "2011", "pdf": 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"2bdadae8c95f365bb1477c91a38857d2fb413ef5", "title": "Illumination and Expression Invariant Recognition Using SSIM Based Sparse Representation", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Roland_Goecke/publication/220929653_Illumination_and_Expression_Invariant_Recognition_Using_SSIM_Based_Sparse_Representation/links/0912f50950224af3d9000000.pdf", "https://pdfs.semanticscholar.org/2bda/dae8c95f365bb1477c91a38857d2fb413ef5.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597388", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.979", "http://doi.org/10.1109/ICPR.2010.979"]}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2010.10.017"]}, {"id": "fe11881b6a395f20a7881b40e474cc10ca1d2996", "title": "Adaptive Weber-face for robust illumination face recognition", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s00607-019-00706-7"]}, {"id": "884e1de068accb6cbdc8d3e1bd590a033628baea", "title": "Locality-sensitive kernel sparse representation classification for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2014.09.011"]}, {"id": "b732393cd3877f7e6d3cf3ca033a42415bd6db56", "title": "Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding", "year": "2009", "pdf": ["http://drum.lib.umd.edu/bitstream/handle/1903/9878/Turaga_umd_0117E_10832.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.base-search.net/Record/dd07c52432ed02ca5d6204f7858913cead9a0781f2af1462956b34e85e7aef35"]}, {"id": "9447367e4ba6a720ead70a40ac6deceeae478940", "title": "Multiscale Adaptive Representation of Signals: I. 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"34a41ec648d082270697b9ee264f0baf4ffb5c8d", "title": "Integration of multi-feature fusion and dictionary learning for face recognition", "year": "2013", "pdf": ["http://www.cs.zju.edu.cn/people/wangdh/papers/IVC.pdf?doi=10.1016/j.imavis.2013.10.002&domain=f"], "doi": ["http://doi.org/10.1016/j.imavis.2013.10.002"]}, {"id": "eb92705f6920a5eca702066a0914cf74688e928d", "title": "Symmetrical singular value decomposition representation for pattern recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.05.075"]}, {"id": "b21b860cf21edb2e57f62b665203e5d8b64829d5", "title": "Extended feed forward neural networks with random weights for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2014.01.022"]}, {"id": "735be89c989ab7819e2f640960a8895e79913e21", "title": "A Video-Based Door Monitoring System Using Local Appearance-Based Face Models", "year": "2017", "pdf": 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"f07449375fba8e786966733b2f092ac25e103ae8", "title": "Difference Subspace and Its Generalization for Subspace-Based Methods", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7053916", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2015.2408358", "http://doi.org/10.1109/TPAMI.2015.2408358", "https://www.ncbi.nlm.nih.gov/pubmed/26440259"]}, {"id": "b0f59b71f86f18495b9f4de7c5dbbebed4ae1607", "title": "Semi-supervised local ridge regression for local matching based face recognition", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.04.085"]}, {"id": "741109fea9da1102ea59af39aa44e8846c966151", "title": "Two-Stage Tensor Locality-Preserving Projection Face Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7545024"]}, {"id": "e2c09f29ac989a40a7cf8a24b44db7281a188758", "title": "Non-Lambertian Model-based Facial Shape Recovery from Single Image Under Unknown General 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"199fdc3c0b73d9469d2e732c97e889bfc8bf8bff", "title": "Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation", "year": "2013", "pdf": ["http://ivg.au.tsinghua.edu.cn/paper/2013_Multi-Class%20Constrained%20Normalized%20Cut%20with%20Hard,%20Soft,%20Unary%20and%20Pairwise%20Priors.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553122", "http://doi.org/10.1109/TIP.2013.2271865", "https://www.ncbi.nlm.nih.gov/pubmed/23846473", "https://www.wikidata.org/entity/Q51187978"]}, {"id": "6bc71c846863f4bd990d8c68c2763a298d2d30c7", "title": "Investigating the combined appearance model for statistical modelling of facial images.", "year": "2007", "pdf": [], "doi": []}, {"id": "25fce91ce1b974865506c14d2e4714d8db2672d1", "title": "Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation", "year": "2012", "pdf": 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"1ea4347def5868c622d7ce57cbe171fa68207e2b", "title": "Analysis of WD Face Dictionary for Sparse Coding Based Face Recognition", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1007/978-3-642-41181-6_23"]}, {"id": "75113a9e6a065e25cff08de01b7893825eb58641", "title": "Face recognition via local sparse coding", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6126426", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126426", "http://doi.org/10.1109/ICCV.2011.6126426"]}, {"id": "2a4b693127a28a2c56914bd2e5b99ea0f0883176", "title": "Screening Tests for Lasso Problems", "year": "2017", "pdf": ["https://arxiv.org/pdf/1405.4897.pdf"], "doi": []}, {"id": "5ca50e0cad9b066dab61644e3cb6be773c9d6136", "title": "Combine image quality fusion and illumination compensation for video-based face recognition", "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2009.11.010"]}, {"id": "8c1a6265c148c454018749b0dd614bfd8eb18d14", "title": 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"year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00069.pdf"], "doi": []}, {"id": "d1bd956a8523629ed4e2533b01272f22cea534c6", "title": "An illumination normalization model for face recognition under varied lighting conditions", "year": "2010", "pdf": [], "doi": ["http://doi.org/10.1016/j.patrec.2010.01.021"]}, {"id": "6253515390d484e4a13b69f4f5d495f5d5e9c0ba", "title": "Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7395803", "http://doi.ieeecomputersociety.org/10.1109/ICDMW.2015.80", "http://doi.org/10.1109/ICDMW.2015.80"]}, {"id": "2434ea848bfc5bbe77bdabe8fe346290a60e9537", "title": "Robust Stochastic Principal Component Analysis", "year": "2014", "pdf": ["http://jmlr.csail.mit.edu/proceedings/papers/v33/goes14.pdf", "http://jmlr.org/proceedings/papers/v33/goes14.pdf"], "doi": ["http://jmlr.org/proceedings/papers/v33/goes14.html"]}, {"id": 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8452894", "http://doi.org/10.1109/ACCESS.2018.2868133"]}, {"id": "2751cab92020cf332f745536a04d71c3658c91e7", "title": "Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-015-9490-x"]}, {"id": "d3cd2102ab7c374ffab25eb4945592a00033893e", "title": "Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold", "year": "2017", "pdf": ["http://www.cvlab.cs.tsukuba.ac.jp/index.php?file=ICPRAM2017_paper.pdf&pcmd=open&plugin=attach&refer=Ryoma+Yataka", "http://www.scitepress.org/Papers/2017/62047/62047.pdf"], "doi": ["https://doi.org/10.5220/0006204702080216"]}, {"id": "8b8dd053aae04f000e8b9d38f7397d7f1a3b5e99", "title": "Joint sparse principal component analysis", "year": "2017", "pdf": ["http://www.comp.hkbu.edu.hk/~ymc/papers/journal/PR-D-16-00081_publication_version.pdf", "http://www.hezhenyu.cn/UpLoadFiles/Papers/Joint%20Sparse%20Principal%20Component%20Analysis.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.025"]}, {"id": "af1fa9d29512fc8f4c07efdf75d3f640567a5262", "title": "Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/af1f/a9d29512fc8f4c07efdf75d3f640567a5262.pdf"], "doi": []}, {"id": "46e24761446ca5eddc4fb9ea51d846b6b2609499", "title": "Facial Recognition understanding and Differences Between PCA ( Principal Component Analysis ) and LDA ( Linear Discriminant Analysis )", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/46e2/4761446ca5eddc4fb9ea51d846b6b2609499.pdf"], "doi": []}, {"id": "a93c3dc4efaa80382210f5f8395ac9b04a485f45", "title": "Noisy Subspace Clustering via Matching Pursuits", "year": "2018", "pdf": ["https://arxiv.org/pdf/1612.03450.pdf"], "doi": []}, {"id": "4b04247c7f22410681b6aab053d9655cf7f3f888", "title": "Robust Face Recognition by Constrained Part-based Alignment", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.04717.pdf"], "doi": []}, {"id": "391642ec5ade3579654a14c3644af6f086af0158", "title": "Comparison of PCA and LDA based face recognition algorithms under illumination variations", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5333255"]}, {"id": "28c14a6c64518c21888afb2d73fe8dff633ca4da", "title": "Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/28c1/4a6c64518c21888afb2d73fe8dff633ca4da.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6360018", "http://doi.org/10.1109/TNNLS.2012.2216545", "https://www.ncbi.nlm.nih.gov/pubmed/24808203", "https://www.wikidata.org/entity/Q45337943"]}, {"id": "4bb9c5f1ef1240486374f4f80d8f65921f74c1ad", "title": "Double linear regressions for single labeled image per person face recognition", "year": "2014", "pdf": ["http://isiarticles.com/bundles/Article/pre/pdf/24686.pdf", "http://www.researchgate.net/profile/Shasha_Mao/publication/259507448_Double_linear_regressions_for_single_labeled_image_per_person_face_recognition/links/0c960530c0667a91ab000000.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.09.013"]}, {"id": "bdf5434648356ce22bdbf81d2951e4bb00228e4d", "title": "A Half Face Recognition Scheme", "year": "2007", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4287531", "http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.415", "http://doi.org/10.1109/SNPD.2007.415"]}, {"id": "de26c1560db47f63ef2dc8171d7c2c52369ffede", "title": "Mathematically inspired approaches to face recognition in uncontrolled conditions : super resolution and compressive sensing", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/de26/c1560db47f63ef2dc8171d7c2c52369ffede.pdf"], "doi": []}, {"id": "96e7142ab905c54c033696ac3692e85692c43bf3", "title": "Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment", "year": "2014", "pdf": ["https://arxiv.org/pdf/1402.1879.pdf"], "doi": []}, {"id": "6a8743973e24c39b33ff50e023447daecbd9f25c", "title": "Efficient Time Series Classification via Sparse Linear Combination", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8332578", "http://doi.ieeecomputersociety.org/10.1109/WISA.2017.37", "http://doi.org/10.1109/WISA.2017.37"]}, {"id": "f6dabb4d91bf7389f3af219d486d4e67cec18c17", "title": "Vector projection for face recognition", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.compeleceng.2014.08.010"]}, {"id": "695b040a9550a46b5ffe31e4a6abbadfac02c1ad", "title": "Face recognition with illumination distinction description", "year": "2012", "pdf": ["http://vision.unipv.it/corsi/computervision/secondchoice/0307%20Face%20Recognition%20with%20Illumination%20Distinction%20Description%20-%20Copia.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460257", "http://ieeexplore.ieee.org/document/6460257/"]}, {"id": "04072a097a2ac6a0ee9132bb61bc95bd68bb0621", "title": "Adaptive Low-Rank Kernel Subspace Clustering", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04974.pdf"], "doi": []}, {"id": "ae4e2c81c8a8354c93c4b21442c26773352935dd", "title": "On the kernel Extreme Learning Machine classifier", "year": "2015", "pdf": ["http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2015/1_A_Iosifidis_PRL_onKELM.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2014.12.003"]}, {"id": "256ef946b4cecd8889df8d799d0c9175ae986af9", "title": "Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields", "year": "2015", "pdf": 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Intelligent Detection Based on the Gabor Wavelet and the Neural Network", "year": "2016", "pdf": ["http://www.mdpi.com/2073-8994/8/11/130/pdf"], "doi": ["http://doi.org/10.3390/sym8110130"]}, {"id": "cd1a26f151cf6bb7aad90a7ca939df5bcbceca00", "title": "Sparse representation for robust face recognition by dictionary decomposition", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2017.04.007"]}, {"id": "40012a8e480a1724cce1a71e2b8584332225492b", "title": "Greedy algorithm for subspace clustering from corrupted and incomplete data", "year": "2015", "pdf": ["https://arxiv.org/pdf/1306.1716.pdf"], "doi": []}, {"id": "6b1b43d58faed7b457b1d4e8c16f5f7e7d819239", "title": "A multi-task model for simultaneous face identification and facial expression recognition", "year": "2016", "pdf": ["http://cse.seu.edu.cn/PersonalPage/xgeng/files/neurocomputing16.pdf", "https://pdfs.semanticscholar.org/6b1b/43d58faed7b457b1d4e8c16f5f7e7d819239.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.06.079"]}, {"id": "cca228b47a603a9b9e2a1e3a1b278b35612d078d", "title": "Randomized Face Recognition on Partially Occluded Images", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/cca2/28b47a603a9b9e2a1e3a1b278b35612d078d.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac", "title": "Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/56d4/eeb7fcdfd4f3156b9bdd20a9f35c995ebcac.pdf"], "doi": []}, {"id": "9a0fd1341c567c23b8d5cfad7d6d2141b6313273", "title": "Face recognition under large illumination variations using homomorphic filtering in spatial domain", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2014.02.007"]}, {"id": "04adf2e51df06a03b6decf520b0952a54a538a18", "title": "Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.05901.pdf"], "doi": []}, {"id": "5b011cbd450bb859700bc6ff5e525ae1d2a4c521", "title": "Face Recognition System based on Single Image under Varying Illuminations and Facial Expressions", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e30c/afc1156d5aec53141fa46f0da79961baa4f5.pdf"], "doi": []}, {"id": "982fed5c11e76dfef766ad9ff081bfa25e62415a", "title": "Undersampled Face Recognition via Robust Auxiliary Dictionary Learning", "year": "2015", "pdf": ["http://www.citi.sinica.edu.tw/papers/ycwang/4607-F.pdf", "https://pdfs.semanticscholar.org/c7fa/d91ba4e33f64d584c928b1200327815f09e6.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7055899", "http://doi.org/10.1109/TIP.2015.2409738", "https://www.ncbi.nlm.nih.gov/pubmed/25769163", "https://www.wikidata.org/entity/Q41227841"]}, {"id": "ae8cc8db9e05c79adad03da64a4a9ba0b00f4eb5", "title": "Large Scale Local Online Similarity/Distance Learning Framework based on Passive/Aggressive", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01900.pdf"], "doi": []}, {"id": "2f4be1b5655df160c31cb132172922e0f440857c", "title": "A Blur-Robust Descriptor with Applications to Face Recognition", "year": "2012", "pdf": ["http://www.research.att.com/export/sites/att_labs/techdocs/TD_100767.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6127874", "http://doi.org/10.1109/TPAMI.2012.15", "https://www.ncbi.nlm.nih.gov/pubmed/22231594", "https://www.wikidata.org/entity/Q34122412"]}, {"id": "b73fdae232270404f96754329a1a18768974d3f6", "title": "International Journal of Advanced Robotic Systems Local Relation Map : A Novel Illumination Invariant Face Recognition Approach Regular Paper", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/b73f/dae232270404f96754329a1a18768974d3f6.pdf"], "doi": []}, {"id": "70eb48e06d9d5edf84246b772673b6d44af4b3c6", "title": "ROBUST LDP BASED FACE DESCRIPTOR", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/70eb/48e06d9d5edf84246b772673b6d44af4b3c6.pdf"], "doi": []}, {"id": "a98c435e83bc71738ea215a329f49a26c2730255", "title": "Superpixels for large dataset subspace clustering", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s00521-018-3914-2"]}, {"id": "2ae6bcd37f5aecb84a9222331b80c84a3c65e05f", "title": "Blur and Illumination Robust Face Recognition via Set-Theoretic Characterization", "year": "2013", "pdf": ["http://drum.lib.umd.edu/bitstream/handle/1903/14302/Vageeswaran_umd_0117N_14278.pdf?isAllowed=y&sequence=1", "http://www.ece.rice.edu/~km23/files/paper/blurFaceTIP.pdf", "http://www.umiacs.umd.edu/~kmitra/files/paper/blurFaceTIP.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6363602", "http://doi.org/10.1109/TIP.2012.2228498", "https://www.ncbi.nlm.nih.gov/pubmed/23204284"]}, {"id": "09d7aa7d856e08ab07074364ffb2c19c2ec5022d", "title": "Illumination invariant recognition and 3D reconstruction of faces using desktop optics.", "year": "2011", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/21503057", "https://doi.org/10.1364/OE.19.007491"]}, {"id": "796e5cd7913665dc5f2a228817911432e1916d12", "title": "Unsupervised Feature Selection With Ordinal Preserving Self-Representation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8516910"]}, {"id": "8ab183883acba0501c3315a914aee755b5e517d8", "title": "Synthesis-based Robust Low Resolution Face Recognition", "year": "2014", "pdf": ["https://arxiv.org/pdf/1707.02733.pdf"], "doi": []}, {"id": "599b7e1b4460c8ad77def2330ec76a2e0dfedb84", "title": "Robust Subspace Clustering via Smoothed Rank Approximation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1508.04467.pdf"], "doi": []}, {"id": "4e4e8fc9bbee816e5c751d13f0d9218380d74b8f", "title": "Tone-aware sparse representation for face recognition", "year": "2013", "pdf": ["https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553711.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553711", "http://doi.ieeecomputersociety.org/10.1109/FG.2013.6553711", "http://doi.org/10.1109/FG.2013.6553711"]}, {"id": "143b54525bdda1f83965002616a4e7b5b9f523a3", "title": "A probabilistic patch based image representation using Conditional Random Field model for image classification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.06797.pdf"], "doi": []}, {"id": "30a4b4ef252cb509b58834e7c40862124c737b61", "title": "Improved LRC Based on Combined Virtual Training Samples for Face Recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1142/S0218001416560061"]}, {"id": "3fb689c0f1db224d53d9fdaee578d3ff8522f807", "title": "Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking", "year": "2007", "pdf": ["http://vcg.engr.ucr.edu/publications/integratingmotion.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4135675", "http://doi.org/10.1109/TPAMI.2007.1047", "https://www.ncbi.nlm.nih.gov/pubmed/17356200", "https://www.wikidata.org/entity/Q46688079"]}, {"id": "68c586e81f593904221598f7ababb97570dbfe63", "title": "An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.06.117", "http://ncs.ethz.ch/projects/evospike/publications/an-improved-collaborative-representation-based-classification-with-regularized-least-square-crc2013rls-method-for-robust-face-recognition"]}, {"id": "2e956e178fd50ab140f30f9255a83d853c8be210", "title": "Robust Facial Expression Recognition via Compressive Sensing", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2e95/6e178fd50ab140f30f9255a83d853c8be210.pdf"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.patcog.2011.02.011"]}, {"id": "f42ef7968d66a93047215ecc8bd0a769deae7db2", "title": "Evaluation of Eigenfaces and Fisherfaces using Bray Curtis dissimilarity metric", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7036600"]}, {"id": "fbbbbc8fe255191b14608c6d877d9330d35273ca", "title": "A new feature extraction model based on image gradient", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6744025"]}, {"id": "712609494dd049b44ebfd82698b9305ef07f027b", "title": "Biometric bits extraction through phase quantization based on feature level fusion", "year": "2011", "pdf": ["http://cherup.yonsei.ac.kr/files/Paper/Biometric%20Bits%20Extraction%20through%20Phase%20Quantization%20based%20on%20Feature%20level%20fusion.pdf"], "doi": ["http://doi.org/10.1007/s11235-010-9317-z", "https://www.wikidata.org/entity/Q58424129"]}, {"id": "d411065a097587a9374dc5178e9f6f6c45b965a4", "title": "Locality-preserving descriptor for robust texture feature representation", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.07.010"]}, {"id": "fe8f3472982048290f8af9ada5d920a172d6c362", "title": "Robust and scalable matrix completion", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7425800", "http://doi.ieeecomputersociety.org/10.1109/BIGCOMP.2016.7425800", "http://doi.org/10.1109/BIGCOMP.2016.7425800"]}, {"id": "2be9144a1e66de127192b01907c862381f4011d1", "title": "Using eye reflections for face recognition under varying illumination", "year": "2005", "pdf": ["http://www.cs.columbia.edu/CAVE/publications/pdfs/Nishino_ICCV05.pdf", "http://www.cs.columbia.edu/~belhumeur/conference/eye-iccv05.pdf", "http://www1.cs.columbia.edu/CAVE/publications/pdfs/Nishino_ICCV05.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1541298", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2005.243", "http://doi.org/10.1109/ICCV.2005.243"]}, {"id": "bb131650627cf2d1da570589f6c540041df1ae92", "title": "Improving the Intra Class Distance using RBSQI Technique for Facial Images with Illumination Variations", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/bb13/1650627cf2d1da570589f6c540041df1ae92.pdf"], "doi": []}, {"id": "86d2bb930fd4fec5fbeff69d1990007f786b7959", "title": "Sparsity preserving discriminant analysis for single training image face recognition", "year": "2010", "pdf": 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Recognition With Structurally Incoherent Low-Rank Matrix Decomposition", "year": "2014", "pdf": ["http://mml.citi.sinica.edu.tw/papers/TIP14_Wei.pdf", "http://www.citi.sinica.edu.tw/papers/ycwang/4156-F.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6827227", "http://doi.org/10.1109/TIP.2014.2329451", "https://www.ncbi.nlm.nih.gov/pubmed/24951689", "https://www.wikidata.org/entity/Q44659626"]}, {"id": "c1178a5e02338270c18d3a80e40e3d03c165586b", "title": "Grassmann Learning for Recognition and Classification", "year": "2014", "pdf": [], "doi": []}, {"id": "38a75d92684122da464a7fb1f9adc8f6acec74da", "title": "Joint representation classification for collective face recognition", "year": "2017", "pdf": ["https://arxiv.org/pdf/1505.04617.pdf"], "doi": []}, {"id": "73be334ecc48751269443b0db2629086125e69f5", "title": "Robust Face Recognition under Difficult Lighting Conditions", "year": "2012", "pdf": 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"8a23861d6d700ffa845dc85f2884355fa686ec37", "title": "Biometric identification system based on Principal Component Analysis", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7954309"]}, {"id": "c5f22a01fc1abce01393d2e3ed4b8ed91b0e3b4c", "title": "Relative Distance-Based Laplacian Eigenmaps", "year": "2009", "pdf": ["http://nlpr-web.ia.ac.cn/2009papers/gjhy/gh78.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5344013"]}, {"id": "6f1278204ee89978cebdd9aced3d9c31c1ad40c0", "title": "Eyeglasses removal of thermal image based on visible information", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.inffus.2011.09.002"]}, {"id": "72fc4625f42e0b20962a26d203961bb116809de0", "title": "Sparsity preserving projections with applications to face recognition", "year": "2010", "pdf": ["http://parnec.nuaa.edu.cn/papers/journal/2010/spp.pdf", "http://parnec.nuaa.edu.cn/xtan/paper/SPP.pdf"], "doi": 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with Pose Variant Face Image Using SVM", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/a012/b41fc54060e11744db20ef6d191b290f1879.pdf"], "doi": []}, {"id": "0aa56fa873d27d9c83c001a6d0f7d1d3a7c901c8", "title": "Sparsity Preserving-Based Local Fisher Discriminant Analysis with Applications in Face Recognition", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6300002"]}, {"id": "1244b267758b49978f3a093ba9a66e71ee4ac3e0", "title": "An Overview of Robust Subspace Recovery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8425657"]}, {"id": "22dabd4f092e7f3bdaf352edd925ecc59821e168", "title": "Exploiting side information in locality preserving projection", "year": "2008", "pdf": ["http://dro.deakin.edu.au/eserv/DU:30044576/venkatesh-exploitingside-2008.pdf", "http://mplab.ucsd.edu/wordpress/wp-content/uploads/cvpr2008/conference/data/papers/256.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR_2008/data/papers/256.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587596", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587596", "http://doi.org/10.1109/CVPR.2008.4587596"]}, {"id": "868eb748db8bb5b366c6cae1d14f310767dd6016", "title": "A Generalized Discriminative Least Squares Regression Model", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575853"]}, {"id": "fca20ba6e116d8703c8c68bb855ec19e00fed2c6", "title": "Transposed Low Rank Representation for Image Classification", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6411718", "http://doi.org/10.1109/DICTA.2012.6411718"]}, {"id": "d94e77ee8da75691c19e4987369c546bec46354f", "title": "Kernel locality-constrained collaborative representation based discriminant analysis", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.1016/j.knosys.2014.06.027"]}, {"id": "0ef999f06955193aae575b2d00f00d136f546028", "title": "Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classifications", "year": "2013", "pdf": ["http://www.cise.ufl.edu/~ychi/iccv2013/iccv2013_affine.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Chi_Affine-Constrained_Group_Sparse_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751194", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.90", "http://doi.org/10.1109/ICCV.2013.90"]}, {"id": "38b8f80b05db035f1ba9eb2e76629ce937fc956c", "title": "Robust bilinear factorization with missing and grossly corrupted observations", "year": "2015", "pdf": ["http://www.cse.cuhk.edu.hk/~jcheng/papers/rbf_is15.pdf"], "doi": ["http://doi.org/10.1016/j.ins.2015.02.026"]}, {"id": "57727cc320992c503b8eef2817298f720a016f4f", "title": "Nearest convex hull classification by using Lotka-Volterra recurrent 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4959198"]}, {"id": "cd3b713722ccb1e2ae3b050837ca296b2a2dd82a", "title": "Kernel dictionary learning based discriminant analysis", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2016.07.015"]}, {"id": "00533c79ba906cee9441654ada8071150e85f5ad", "title": "Illumination and Expression Invariant Face Recognition: Toward Sample Quality-based Adaptive Fusion", "year": "2008", "pdf": ["http://bear.buckingham.ac.uk/46/1/HSellahewa_SAJassim_BTAS_2008.pdf", "http://www.researchgate.net/profile/Sabah_Jassim/publication/224356994_Illumination_and_Expression_Invariant_Face_Recognition_Toward_Sample_Quality-based_Adaptive_Fusion/links/53fb28a40cf27c365cf07835.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4699328"]}, {"id": "4e729427f5cd4be22dad7bef0eb241e93497dbf4", "title": "Model-Driven Domain Adaptation on Product Manifolds for Unconstrained Face Recognition", "year": "2014", "pdf": 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"http://doi.org/10.1109/IIH-MSP.2012.43"]}, {"id": "865b552d0556f257e1bf3d4ba476199c2e802a27", "title": "Robust nuclear norm regularized regression for face recognition with occlusion", "year": "2015", "pdf": ["http://www.cis.pku.edu.cn/faculty/vision/zlin/Publications/2015-PR-Face.pdf", "https://pdfs.semanticscholar.org/865b/552d0556f257e1bf3d4ba476199c2e802a27.pdf"], "doi": ["https://doi.org/10.1016/j.patcog.2015.04.017"]}, {"id": "883702f1589abdf14dcb1d164d578a64316ed3ab", "title": "Sparse modified marginal fisher analysis for facial expression recognition", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s10489-018-1388-7"]}, {"id": "38308a4fc038611797a5193c6d3abb593a6a3a37", "title": "Structured Sparse Linear Discriminant Analysis", "year": "2012", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/papers/files/2012_ICIP_zcui_STRUCTURED%20SPARSE%20LINEAR%20DISCRIMINANT%20ANALYSIS.pdf", "https://pdfs.semanticscholar.org/3830/8a4fc038611797a5193c6d3abb593a6a3a37.pdf"], 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Orthogonal Wavelet Filters", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b5fd/75f0f03a2762f436d59c5e8220c65b649178.pdf"], "doi": []}, {"id": "4f00f5fe9d762009f524fb97555088769b96328c", "title": "Eye Gaze Tracking System Using . 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"https://vcg.seas.harvard.edu/content/3-publications/20120701-trainable-convolution-filters-and-their-application-to-face-recognition/zwhuang_20120322_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6095560", "http://doi.org/10.1109/TPAMI.2011.225", "https://www.ncbi.nlm.nih.gov/pubmed/22144519", "https://www.wikidata.org/entity/Q43541594"]}, {"id": "f755d9b2b7ef66ffdf7504b34167b95d0685c18d", "title": "Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition", "year": "2012", "pdf": ["http://ibug.doc.ic.ac.uk/media/uploads/documents/tnn-dikt-liwicki.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269106", "http://doi.org/10.1109/TNNLS.2012.2208654", "https://www.ncbi.nlm.nih.gov/pubmed/24808007", "https://www.wikidata.org/entity/Q47954808"]}, {"id": "8bd82d362c39c3f2160f5685149ed41125b0681c", "title": "Cancelable face verification using optical encryption and authentication.", "year": "2015", 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unions of subspaces for classification and clustering of high-dimensional data", "year": "2011", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6120288", "http://doi.org/10.1109/Allerton.2011.6120288"]}, {"id": "3d7a5d1fbec861542631fcb10f58e38f4f51a04c", "title": "Face Recognition Application of Blur-Robust Pitta", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3d7a/5d1fbec861542631fcb10f58e38f4f51a04c.pdf"], "doi": []}, {"id": "08b25aa0cca422d3a896aa1fdd865a7e970666db", "title": "Hybrid Linear Modeling via Local Best-Fit Flats", "year": "2012", "pdf": ["https://arxiv.org/pdf/1010.3460.pdf"], "doi": []}, {"id": "5b19a51a68a583074a5b0a4a08ebfc9b7df75103", "title": "Dimensionality reduction with adaptive graph", "year": "2013", "pdf": ["http://or.nsfc.gov.cn/bitstream/00001903-5/320776/1/1000006944399.pdf"], "doi": ["https://doi.org/10.1007/s11704-013-2234-z"]}, {"id": "b2d3d880c37e0e5827ef0e14668b4d640aea394a", "title": "A Fuzzy Kernel Maximum Margin Criterion for Image Feature Extraction", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b2d3/d880c37e0e5827ef0e14668b4d640aea394a.pdf"], "doi": []}, {"id": "340d1a9852747b03061e5358a8d12055136599b0", "title": "Audio-Visual Recognition System Insusceptible to Illumination Variation over Internet Protocol", "year": "2009", "pdf": ["https://pdfs.semanticscholar.org/340d/1a9852747b03061e5358a8d12055136599b0.pdf"], "doi": []}, {"id": "7d3f6dd220bec883a44596ddec9b1f0ed4f6aca2", "title": "Linear Regression for Face Recognition", "year": "2010", "pdf": ["http://maths.dur.ac.uk/users/kasper.peeters/pdf/face_recognition/PCA/Togneri2010LinearRegressionFaceRecognition.pdf", "http://staffhome.ecm.uwa.edu.au/~00014742/research/papers/IEEETPAMI_32_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5506092", "http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.128", "http://doi.org/10.1109/TPAMI.2010.128", "https://www.ncbi.nlm.nih.gov/pubmed/20603520"]}, 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Invariant Robust and Fast Face Detection, Feature Extraction Based Face Recognition System", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6394678"]}, {"id": "28d65e4d72638983fbc723b102d78b10587c06aa", "title": "Low Resolution Sparse Binary Face Patterns", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/28d6/5e4d72638983fbc723b102d78b10587c06aa.pdf"], "doi": []}, {"id": "5dbae8c58341d1f6e475ebd03aa6b8abbc9d149d", "title": "Hallucinating optimal high-dimensional subspaces", "year": "2014", "pdf": ["https://arxiv.org/pdf/1401.8053.pdf"], "doi": []}, {"id": "88e093d90d0734b471ce2c1f58fa0ace6dec1101", "title": "Illumination invariant face recognition using convolutional neural networks", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7091490"]}, {"id": "d9208c964bed4cc0055e313353c73fd00a60c412", "title": "Multi-class Fukunaga Koontz discriminant analysis for enhanced face recognition", 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and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition", "year": "2018", "pdf": []}, {"id": "10e7dd3bbbfbc25661213155e0de1a9f043461a2", "title": "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video", "year": "2018", "pdf": ["https://arxiv.org/pdf/1608.04200.pdf"]}, {"id": "3393459600368be2c4c9878a3f65a57dcc0c2cfa", "title": "Eigen-PEP for Video Face Recognition", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/3393/459600368be2c4c9878a3f65a57dcc0c2cfa.pdf"]}, {"id": "a9ae55c83a8047c6cdf7c958fd3d4a6bfb0a13df", "title": "AcFR: Active Face Recognition Using Convolutional Neural Networks", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w1/papers/Nakada_AcFR_Active_Face_CVPR_2017_paper.pdf"]}, {"id": "992eabece1baa0d8dc2516613a192b283e1921d9", "title": "Neural class-specific regression for face verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.09642.pdf"]}, 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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": "34c1e9a6166f4732d1738db803467f7abc47ba87", "title": "Image Set Classification Using Sparse Bayesian Regression", "year": "2017", "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": "853bd61bc48a431b9b1c7cab10c603830c488e39", "title": "Learning Face Representation from Scratch", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.7923.pdf"]}, {"id": "58542eeef9317ffab9b155579256d11efb4610f2", "title": "Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5854/2eeef9317ffab9b155579256d11efb4610f2.pdf"]}, 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"http://www.cse.msu.edu/~rossarun/pubs/RothLiuRossMetaxasKeystrokeAcoustics_TIFS2015.pdf", "http://www.cse.msu.edu/~rothjos1/papers/2015TIFS_Roth_Liu_Ross_Metaxas.pdf"]}, {"id": "9dfef52f45372ee76b63905606779080026dfeb1", "title": "The Best Practice of University and Community Cooperation in Open Source Software Project - TV Station Media Images Query System for Example", "year": "2018", "pdf": []}, {"id": "97865d31b5e771cf4162bc9eae7de6991ceb8bbf", "title": "Face and Gender Classification in Crowd Video", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9786/5d31b5e771cf4162bc9eae7de6991ceb8bbf.pdf"]}, {"id": "533bfb82c54f261e6a2b7ed7d31a2fd679c56d18", "title": "Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection", "year": "2014", "pdf": ["http://biometrics.cse.msu.edu/Publications/Face/BestRowdenetal_UnconstrainedFaceRecognition_TIFS2014.pdf", 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identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": []}, {"id": "5c54e0f46330787c4fac48aecced9a8f8e37658a", "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": "9f2984081ef88c20d43b29788fdf732ceabd5d6a", "title": "ClusterNet : Semi-Supervised Clustering using Neural Networks", "year": "2018", "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": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": []}, {"id": "be21529c47b79b688b420c5e296086698ba11350", "title": "CNN-Based Multimodal Human Recognition in Surveillance Environments", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/be21/529c47b79b688b420c5e296086698ba11350.pdf"]}, {"id": "9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73", "title": "A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database", "year": "2015", "pdf": ["http://vipl.ict.ac.cn/sites/default/files/people/attach/Revision_COX_TIP_v3.0_1.pdf", "http://www.vision.ee.ethz.ch/~zzhiwu/papers/COX-Face-DB-TIP-final.pdf"]}, {"id": "f4ac6d29b6f544370d53aaff88c007c14a1fddfb", "title": "Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification", "year": "2018", "pdf": ["http://sergioescalera.com/wp-content/uploads/2018/05/FG2018_Expression-Change-Biometrics.pdf", "http://vbn.aau.dk/files/279731010/FG2018_Expression_Biometric_CameraReady.pdf"]}, {"id": "973022a1f9e30a624f5e8f7158b5bbb114f4af32", "title": "Searching a specific person in a specific location using deep features", "year": "2016", "pdf": []}, {"id": "03f7041515d8a6dcb9170763d4f6debd50202c2b", "title": "Clustering Millions of Faces by Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1604.00989.pdf"]}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"]}, {"id": "57178b36c21fd7f4529ac6748614bb3374714e91", "title": "IARPA Janus Benchmark - C: Face Dataset and Protocol", "year": "2018", "pdf": []}, {"id": "d83583562f3536d5c13f8ca58925362f6878f5f4", "title": "Enhance Visual Recognition under Adverse Conditions via Deep Networks", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.07732.pdf"]}, {"id": "8da32ff9e3759dc236878ac240728b344555e4e9", "title": "Investigating Nuisance Factors in Face Recognition with DCNN Representation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Ferrari_Investigating_Nuisance_Factors_CVPR_2017_paper.pdf"]}, {"id": "da141474d85257ae65e45b3d4b3a9aa23e62724d", "title": "Learning techniques for multi-modal facial analysis", "year": "2015", "pdf": []}, {"id": "c3a53b308c7a75c66759cbfdf52359d9be4f552b", "title": "On Detecting Partially Occluded Faces with Pose Variations", "year": "2017", "pdf": []}, {"id": "cfb8bc66502fb5f941ecdb22aec1fdbfdb73adce", "title": "Git Loss for Deep Face Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.08512.pdf"]}, {"id": "b8dba0504d6b4b557d51a6cf4de5507141db60cf", "title": "Comparing Performances of Big Data Stream Processing Platforms with RAM3S", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8db/a0504d6b4b557d51a6cf4de5507141db60cf.pdf"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": []}, {"id": "945ef646679b6c575d3bbef9c6fc0a9629ac1b62", "title": "Learning a structured dictionary for video-based face recognition", "year": "2016", "pdf": []}, {"id": "0aebe97a92f590bdf21cdadfddec8061c682cdb2", "title": "Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification", "year": "2018", "pdf": []}, {"id": "6e9862146e7e081429da233960ba0dfa9e400fc2", "title": "Cross-Spectral Cross-Resolution Face Recognition in Videos", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6e98/62146e7e081429da233960ba0dfa9e400fc2.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": "d4c7d1a7a03adb2338704d2be7467495f2eb6c7b", "title": "Explorer Towards a Neural Statistician", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/61e6/895782a3ce61bc03d1bb23bced7fa3139ccd.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": "06bd34951305d9f36eb29cf4532b25272da0e677", "title": "A Fast and Accurate System for Face Detection, Identification, and Verification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07586.pdf"]}, {"id": "cd6e32b00a53310f90a7138a41b855bf44129637", "title": "Persons-In-Places: a Deep Features Based Approach for Searching a Specific Person in a Specific Location", "year": "2017", "pdf": []}, {"id": "36bb5cca0f6a75be8e66f58cba214b90982ee52f", "title": "A Quantum Probability Inspired Framework for Image-Set Based Face Identification", "year": "2017", "pdf": []}, {"id": "d00c335fbb542bc628642c1db36791eae24e02b7", "title": "Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d00c/335fbb542bc628642c1db36791eae24e02b7.pdf"]}, {"id": "a52a69bf304d49fba6eac6a73c5169834c77042d", "title": "Margin Loss: Making Faces More Separable", "year": "2018", "pdf": []}, {"id": "0b6f110b702552858454347cadf22ddd1a05f62f", "title": "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05226.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": "224d0eee53c2aa5d426d2c9b7fa5d843a47cf1db", "title": "Probabilistic Elastic Matching for Pose Variant Face Verification", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d499.pdf", "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": "284d8ffb2f2d3bc9f793b82f8b7f75f2751b05d7", "title": "Disguised Faces in the Wild", "year": "2018", "pdf": ["http://iab-rubric.org/papers/2018_CVPRW_disguised-faces-wild.pdf", "http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Kushwaha_Disguised_Faces_in_CVPR_2018_paper.pdf"]}, {"id": "787c1bb6d1f2341c5909a0d6d7314bced96f4681", "title": "Face Detection and Verification in Unconstrained Videos : Challenges , Detection , and Benchmark Evaluation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/787c/1bb6d1f2341c5909a0d6d7314bced96f4681.pdf"]}, {"id": "dea9b9619936bb00cf845cdf4478435da5363057", "title": "Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions", "year": "2018", "pdf": []}, {"id": "4a6fcf714f663618657effc341ae5961784504c7", "title": "Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification", "year": "2016", "pdf": ["http://www.cs.tut.fi/~iosifidi/files/journal/2016_TIFS_ACSKDA.pdf?dl=0"]}, {"id": "b35ff9985aaee9371588330bcef0dfc88d1401d7", "title": "Deep Density Clustering of Unconstrained Faces", "year": "2018", "pdf": []}, {"id": 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["https://arxiv.org/pdf/1709.05675.pdf"]}, {"id": "f6b4811c5e7111485e2c9cc5bf63f8ac80f3e2d7", "title": "Face Verification via Class Sparsity Based Supervised Encoding", "year": "2017", "pdf": []}, {"id": "fab60b3db164327be8588bce6ce5e45d5b882db6", "title": "Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/fab6/0b3db164327be8588bce6ce5e45d5b882db6.pdf"]}, {"id": "b6967d6096294bbac242b6f27e1fee51da24eb11", "title": "Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition", "year": "2018", "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": "7c2a6b27dd756fe851954e0c040bc87bbd39f098", "title": "Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w39/Xu_Using_Psychophysical_Methods_CVPR_2018_paper.pdf"]}, {"id": "5a1255d65e8309131638b3eb94aad5c52ab3629a", "title": "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5a12/55d65e8309131638b3eb94aad5c52ab3629a.pdf"]}, {"id": "d44a93027208816b9e871101693b05adab576d89", "title": "On the Capacity of Face Representation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.10433.pdf"]}, {"id": "c1f05b723e53ac4eb1133249b445c0011d42ca79", "title": "Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review", "year": "2017", "pdf": []}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.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": "b971266b29fcecf1d5efe1c4dcdc2355cb188ab0", "title": "On the Reconstruction of Face Images from Deep Face Templates.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.00832.pdf"]}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"]}, {"id": "c9984c07eb657d6693e2e205518c9f05cbed75ff", "title": "Scalable Laplacian K-modes", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.13044.pdf"]}, {"id": "af6a160f6e2568cb7dc9c72c1b4af1e5656bf557", "title": "A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/14363/1/Wu17.pdf", "https://repository.kaust.edu.sa/bitstream/handle/10754/621254/10.1016-j.patcog.2016.10.022.pdf?isAllowed=y&sequence=1", "https://www.ecse.rpi.edu/~cvrl/Publication/pdf/Wu2016b.pdf"]}, {"id": "bb4f83458976755e9310b241a689c8d21b481238", "title": "Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf", "http://www.merl.com/publications/docs/TR2017-155.pdf"]}, {"id": "c68ec931585847b37cde9f910f40b2091a662e83", "title": "A Comparative Evaluation of Dotted Raster-Stereography and Feature-Based Techniques for Automated Face Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c68e/c931585847b37cde9f910f40b2091a662e83.pdf"]}, {"id": "4fac09969ee80d485876e3198c7177181c600a4a", "title": "Face Retrieval on Large-Scale Video Data", "year": "2015", "pdf": ["http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2015_Face%20retrieval%20on%20large-scale%20video%20data.pdf"]}, {"id": "bec0c33d330385d73a5b6a05ad642d6954a6d632", "title": "Ranking, clustering and fusing the normalized LBP temporal facial features for face recognition in video sequences", "year": "2017", "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": "30fd7b1f8502b1c1d7a855946d99d2d5323ec973", "title": "Big Data Analysis for 2 Media Production", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/30fd/7b1f8502b1c1d7a855946d99d2d5323ec973.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": "bcfac093aa4a67d405a088e56ee4980872661070", "title": "Hybrid Data Storage Framework for the Biometrics Domain", "year": "2014", "pdf": []}, {"id": "a955033ca6716bf9957b362b77092592461664b4", "title": "Video Based Face Recognition Using Artificial Neural Network", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a955/033ca6716bf9957b362b77092592461664b4.pdf"]}, {"id": "49e4f05fa98f63510de76e7abd8856ff8db0f38d", "title": "Facial Action Units Detection with Multi-Features and -AUs Fusion", "year": "2017", "pdf": []}, {"id": "2a612a7037646276ff98141d3e7abbc9c91fccb8", "title": "A Compact and Discriminative Face Track Descriptor", "year": "2014", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Parkhi_A_Compact_and_2014_CVPR_paper.pdf", "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": "d31328b12eef33e7722b8e5505d0f9d9abe2ffd9", "title": "Deep Unsupervised Domain Adaptation for Face Recognition", "year": "2018", "pdf": []}, {"id": "0d3b167b52e9f0bf509e3af003ea320e6070b665", "title": "Two-level algorithm of facial expressions classification on complex background", "year": "2017", "pdf": []}, {"id": "727d03100d4a8e12620acd7b1d1972bbee54f0e6", "title": "von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1706.04264.pdf"]}, {"id": "7079c51423ff61a18692da993ce3113451bf262a", "title": "Face recognition in unconstrained images and videos", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/7079/c51423ff61a18692da993ce3113451bf262a.pdf"]}, {"id": "76cd5e43df44e389483f23cb578a9015d1483d70", "title": "Face Verification from Depth using Privileged Information", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/76cd/5e43df44e389483f23cb578a9015d1483d70.pdf"]}, {"id": "7fa00c81f7c2d8da1551334b0e7bc3d7fd43130c", "title": "Deep Reconstruction Models for Image Set Classification", "year": "2015", "pdf": []}, {"id": "0cb2dd5f178e3a297a0c33068961018659d0f443", "title": "IARPA Janus Benchmark-B Face Dataset", "year": "2017", "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": "3cd5b1d71c1d6a50fcc986589f2d0026c68d9803", "title": "On Sifts and Their Scales Lihi Zelnik-manor Technion", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/3cd5/b1d71c1d6a50fcc986589f2d0026c68d9803.pdf"]}, {"id": "60643bdab1c6261576e6610ea64ea0c0b200a28d", 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