1
|
{"id": "013909077ad843eb6df7a3e8e290cfd5575999d2", "citations": [{"id": "20532b1f80b509f2332b6cfc0126c0f80f438f10", "title": "A Deep Matrix Factorization Method for Learning Attribute Representations", "year": "2017", "pdf": ["https://arxiv.org/pdf/1509.03248.pdf"], "doi": []}, {"id": "0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a", "title": "Neural Networks Regularization Through Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.05292.pdf"], "doi": []}, {"id": "78a4cabf0afc94da123e299df5b32550cd638939", "title": "Multi-view face recognition from single RGBD models of the faces", "year": "2017", "pdf": ["https://engineering.purdue.edu/kak/FaceRecognitionUnconstrainedPurdueRVL.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2017.04.008"]}, {"id": "d03265ea9200a993af857b473c6bf12a095ca178", "title": "Multiple deep convolutional neural networks averaging for face alignment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d032/65ea9200a993af857b473c6bf12a095ca178.pdf"], "doi": []}, {"id": "9ab963e473829739475b9e47514f454ab467a5af", "title": "A Fully End-to-End Cascaded CNN for Facial Landmark Detection", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961742", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.33", "http://doi.org/10.1109/FG.2017.33"]}, {"id": "0eac652139f7ab44ff1051584b59f2dc1757f53b", "title": "Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.01584.pdf"], "doi": []}, {"id": "ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71", "title": "Towards Spatio-temporal Face Alignment in Unconstrained Conditions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ef4b/5bcaad4c36d7baa7bc166bd1712634c7ad71.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265392", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.182", "http://doi.org/10.1109/ICCVW.2017.182"]}, {"id": "12d8730da5aab242795bdff17b30b6e0bac82998", "title": "Persistent Evidence of Local Image Properties in Generic ConvNets", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6509.pdf"], "doi": []}, {"id": "350108a9dbb746dc6f127d98342c07d8019e3f46", "title": "Multi-view facial landmark detection by using a 3D shape model", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.003"]}, {"id": "710011644006c18291ad512456b7580095d628a2", "title": "Learning Residual Images for Face Attribute Manipulation", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.05363.pdf"], "doi": []}, {"id": "aa643738532a593e739b5468ddff7ebd4c371b47", "title": "Facial Landmark Detection: A Literature Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.05563.pdf"], "doi": []}, {"id": "621c08bd34297627c9b7ec7f7eb7a47b8d602a97", "title": "Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/44755/1/1859.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Khan_Synergy_Between_Face_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237671", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.409", "http://doi.org/10.1109/ICCV.2017.409"]}, {"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"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7795622", "http://doi.org/10.1109/ITSC.2016.7795622"]}, {"id": "0c1314d98bb6b99af00817644c1803dbc0fb5ff5", "title": "Model of Human Visual Cortex Inspired Computational Models for Visual Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7153860", "http://doi.ieeecomputersociety.org/10.1109/BigMM.2015.29", "http://doi.org/10.1109/BigMM.2015.29"]}, {"id": "6e48b90fd1eed0c2e2f3b1a22a09b2675c1aaa02", "title": "Developing an Affect-Aware Rear-Projected Robotic Agent", "year": "2018", "pdf": [], "doi": []}, {"id": "7c6686fa4d8c990e931f1d16deabf647bf3b1986", "title": "Input/Output Deep Architecture for Structured Output Problems", "year": "2015", "pdf": [], "doi": ["http://arxiv.org/abs/1504.07550"]}, {"id": "63c74794aedb40dd6b1650352a2da7a968180302", "title": "Recurrent neural network for facial landmark detection", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.09.015"]}, {"id": "b45a9f95980c434582c920bf15a8099ec267c1f7", "title": "Robust Kronecker Component Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.06432.pdf"], "doi": []}, {"id": "af11769a427eb8daa8435b1ea3252531b4275db8", "title": "A Hybrid Approach for Face Alignment 1", "year": "2017", "pdf": [], "doi": []}, {"id": "0a1138276c52c734b67b30de0bf3f76b0351f097", "title": "Discriminant Incoherent Component Analysis", "year": "2016", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/georgakis_dica.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7428896", "http://doi.org/10.1109/TIP.2016.2539502", "https://www.ncbi.nlm.nih.gov/pubmed/27008268", "https://www.ncbi.nlm.nih.gov/pubmed/28113464", "https://www.wikidata.org/entity/Q39005047"]}, {"id": "a9116f261c1b6ca543cba3ee95f846ef3934efad", "title": "Facial Component-Landmark Detection With Weakly-Supervised LR-CNN", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8598858"]}, {"id": "5b5b9c6c67855ede21a60c834aea5379df7d51b7", "title": "Advances in compositional fitting of active appearance models", "year": "2016", "pdf": [], "doi": ["http://hdl.handle.net/10044/1/45280"]}, {"id": "5aafca76dbbbbaefd82f5f0265776afb5320dafe", "title": "Empirical analysis of cascade deformable models for multi-view face detection", "year": "2015", "pdf": ["http://braismartinez.com/media/documents/2015ivc_-_empirical_analysis_of_cascade_deformable_models_for_multi-view_face_detection.pdf", "http://doc.utwente.nl/95219/1/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://eprints.eemcs.utwente.nl/24551/01/Pantic_Empirical_Analysys_of_Cascade.pdf", "http://ibug.doc.ic.ac.uk/media/uploads/documents/jorozco_imavis_2015.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2015.07.002"]}, {"id": "d838d9b1e3515956e8583e9fba987dd3515e9e95", "title": "Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578336"]}, {"id": "49258cc3979103681848284470056956b77caf80", "title": "EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors", "year": "2017", "pdf": ["https://5443dcab-a-62cb3a1a-s-sites.googlegroups.com/site/tuftsyuewu/epat-euclidean-perturbation.pdf?attachauth=ANoY7crlk9caZscfn0KRjed81DVoV-Ec6ZHI7txQrJiM_NBic36WKIg-ODwefcBtfgfKdS1iX28MlSXNyB7pE0D7opPjlGqxBVVa1UuIiydhFOgkXlXGfrYqSPS6749JeYWDkfvwWraRfB_CK8bu77jAEA2sIVNgaVRa_7zvmzwnstLwSUowbYC1LRc5yDt8ieT_jdEb_TuhMgR2j03BdHgyUkVjl0TXRukYHWglDOxzHAKwj0vsb4U%3D&attredirects=0"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961745", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.36", "http://doi.org/10.1109/FG.2017.36"]}, {"id": "eaf020bc8a3ed5401fc3852f7037a03b2525586a", "title": "Adversarially Optimizing Intersection over Union for Object Localization Tasks", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1710.07735"]}, {"id": "8e36100cb144685c26e46ad034c524b830b8b2f2", "title": "Modeling Facial Geometry using Compositional", "year": "", "pdf": ["https://pdfs.semanticscholar.org/8e36/100cb144685c26e46ad034c524b830b8b2f2.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6755920"]}, {"id": "052c2706203a231146ed170d2ba15b3a63afe031", "title": "Face Alignment via Multi-Regressors Collaborative Optimization", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8581425", "http://doi.org/10.1109/ACCESS.2018.2888643"]}, {"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"], "doi": []}, {"id": "eb48a58b873295d719827e746d51b110f5716d6c", "title": "Face Alignment Using K-Cluster Regression Forests With Weighted Splitting", "year": "2016", "pdf": ["https://arxiv.org/pdf/1706.01820.pdf"], "doi": []}, {"id": "562b21e58805061f898c421848ec837a70d3017d", "title": "A Survey to Deep Facial Attribute Analysis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.10265.pdf"], "doi": []}, {"id": "c3d3d2229500c555c7a7150a8b126ef874cbee1c", "title": "Shape Augmented Regression Method for Face Alignment", "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Wu_Shape_Augmented_Regression_ICCV_2015_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406478", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.129", "http://doi.org/10.1109/ICCVW.2015.129"]}, {"id": "6f2dc51d607f491dbe6338711c073620c85351ac", "title": "Capturing correlations of local features for image representation", "year": "2016", "pdf": ["http://www.ee.oulu.fi/research/mvmp/mvg/files/pdf/2Pool_nc_20150720.pdf"], "doi": ["http://doi.org/10.1016/j.neucom.2015.07.134"]}, {"id": "3727ac3d50e31a394b200029b2c350073c1b69e3", "title": "Facial Expression Recognition from World Wild Web", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.03639.pdf"], "doi": []}, {"id": "ec27b3d1548909d3f55246a388d768cf51e65802", "title": "Face Mask Extraction in Video Sequence", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09207.pdf"], "doi": []}, {"id": "2f9c173ccd8c1e6b88d7fb95d6679838bc9ca51d", "title": "Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02917.pdf"], "doi": []}, {"id": "e52272f92fa553687f1ac068605f1de929efafc2", "title": "Using a Probabilistic Neural Network for lip-based biometric verification", "year": "2017", "pdf": ["https://repo.pw.edu.pl/docstore/download/WUT8aeb20bbb6964b7da1cfefbf2e370139/1-s2.0-S0952197617301227-main.pdf"], "doi": ["http://doi.org/10.1016/j.engappai.2017.06.003"]}, {"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"], "doi": []}, {"id": "64cac22210861d4e9afb00b781da90cf99f9d19c", "title": "Facial Landmark Detection for Manga Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03214.pdf"], "doi": []}, {"id": "58823377757e7dc92f3b70a973be697651089756", "title": "Automatic facial expression analysis", "year": "2014", "pdf": ["http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-861.pdf", "http://www.cl.cam.ac.uk/~tb346/pub/thesis/phd_thesis.pdf"], "doi": ["http://doi.org/10.17863/CAM.16382", "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600539"]}, {"id": "64e82b42e1c41250bdf9eb952686631287cfd410", "title": "Evaluating the Quality of Face Alignment without Ground Truth", "year": "2015", "pdf": [], "doi": ["http://doi.org/10.1111/cgf.12760"]}, {"id": "8e24db957be2b643db464cc566bfabc650f1ffac", "title": "Geometry-Aware Generative Adverserial Networks", "year": "2017", "pdf": [], "doi": []}, {"id": "193bc8b663d041bc34134a8407adc3e546daa9cc", "title": "A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373908", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00115", "http://doi.org/10.1109/FG.2018.00115"]}, {"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": "1c1f957d85b59d23163583c421755869f248ceef", "title": "Robust Facial Landmark Detection Under Significant Head Poses and Occlusion", "year": "2015", "pdf": ["https://arxiv.org/pdf/1709.08127.pdf"], "doi": []}, {"id": "48e77ff21d8fccccd9709b02f2de94b331c503d6", "title": "Modeling Facial Geometry Using Compositional VAEs", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/255014/files/bagautdinov.cvae.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578506", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00408", "http://doi.org/10.1109/CVPR.2018.00408"]}, {"id": "f423d8be5e13d9ef979debd3baf0a1b2e1d3682f", "title": "Approaching human level facial landmark localization by deep learning", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2015.11.004"]}, {"id": "a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b", "title": "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.03887.pdf"], "doi": []}, {"id": "e7265c560b3f10013bf70aacbbf0eb4631b7e2aa", "title": "Look at Boundary: A Boundary-Aware Face Alignment Algorithm", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10483.pdf"], "doi": []}, {"id": "6d10beb027fd7213dd4bccf2427e223662e20b7d", "title": "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6d10/beb027fd7213dd4bccf2427e223662e20b7d.pdf"], "doi": []}, {"id": "3bb670b2afdcc45da2b09a02aac07e22ea7dbdc2", "title": "Disentangling 3 D Pose in A Dendritic CNN for Unconstrained 2 D Face Alignment", "year": "2018", "pdf": [], "doi": []}, {"id": "b908edadad58c604a1e4b431f69ac8ded350589a", "title": "Deep Face Feature for Face Alignment", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.02721.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": "390f3d7cdf1ce127ecca65afa2e24c563e9db93b", "title": "Learning and Transferring Multi-task Deep Representation for Face Alignment", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/6e80/a3558f9170f97c103137ea2e18ddd782e8d7.pdf"], "doi": []}, {"id": "ad5a35a251e07628dd035c68e44a64c53652be6b", "title": "Robust facial landmark tracking via cascade regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.12.024"]}, {"id": "3f9ec71fb58f3994dc536ae83f682b9ea83fd822", "title": "USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS", "year": "2017", "pdf": [], "doi": []}, {"id": "4a4f0a47de1567f3f913e2632921797df36b2525", "title": "Synthetic Prior Design for Real-Time Face Tracking", "year": "2016", "pdf": ["https://s3-us-west-1.amazonaws.com/disneyresearch/wp-content/uploads/20161010224923/Synthetic-Prior-Design-for-Real-Time-Face-Tracking-Paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7785140", "http://doi.ieeecomputersociety.org/10.1109/3DV.2016.72", "http://doi.org/10.1109/3DV.2016.72"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780993", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.624", "http://doi.org/10.1109/CVPR.2016.624"]}, {"id": "b934f730a81c071dbfc08eb4c360d6fca2daa08f", "title": "Characteristic number regression for facial feature extraction", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177496", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177496", "http://doi.org/10.1109/ICME.2015.7177496"]}, {"id": "44389d8e20cf9f1a8453f4ba033e03cff9bdfcbb", "title": "Facial landmark localization by enhanced convolutional neural network", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.07.052"]}, {"id": "6932baa348943507d992aba75402cfe8545a1a9b", "title": "Stacked Hourglass Network for Robust Facial Landmark Localisation", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Yang_Stacked_Hourglass_Network_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014987", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.253", "http://doi.org/10.1109/CVPRW.2017.253"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578186", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00088", "http://doi.org/10.1109/CVPR.2018.00088"]}, {"id": "24e099e77ae7bae3df2bebdc0ee4e00acca71250", "title": "Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation", "year": "2015", "pdf": ["http://users.cecs.anu.edu.au/~hexm/papers/heng_tip.pdf", "http://www.eecs.qmul.ac.uk/~ioannisp/pubs/ecopies/2015-TIP-Yang-Patras-Robust-Face-Alignment-under-Occlusion-final-submitted.pdf", "https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/22467/Yang%20Robust%20Face%20Alignment%20Under%20Occlusion%20via%20Regional%20Predictive%20Power%20Estimation%202015%20Accepted.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7084187", "http://doi.org/10.1109/TIP.2015.2421438", "https://www.ncbi.nlm.nih.gov/pubmed/25872211", "https://www.wikidata.org/entity/Q41075453"]}, {"id": "5180c98815d7034e753a14ef6f54583f115da3aa", "title": "Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8107971", "http://doi.ieeecomputersociety.org/10.1109/iV.2017.40", "http://doi.org/10.1109/iV.2017.40"]}, {"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"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.015"]}, {"id": "5cf12787b9ee536817c0429700c75b98f04192ba", "title": "A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05806.pdf"], "doi": []}, {"id": "a0fd85b3400c7b3e11122f44dc5870ae2de9009a", "title": "Learning Deep Representation for Face Alignment with Auxiliary Attributes", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7208848"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301348", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2015.7301348", "http://doi.org/10.1109/CVPRW.2015.7301348"]}, {"id": "0e7a792ef33af26c26970ffc275d0ae82ee8f5d1", "title": "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection", "year": "2017", "pdf": ["http://ir.ia.ac.cn/bitstream/173211/20074/1/CVPR17ADeepRegressionArchitectureWithTwoStageReInitializationForHighPerformanceFacialLandmarkDetection.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Lv_A_Deep_Regression_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099876", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393", "http://doi.org/10.1109/CVPR.2017.393"]}, {"id": "e0162dea3746d58083dd1d061fb276015d875b2e", "title": "Unconstrained Face Alignment Without Face Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Shao_Unconstrained_Face_Alignment_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014992", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.258", "http://doi.org/10.1109/CVPRW.2017.258"]}, {"id": "0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136", "title": "Large Scale 3D Morphable Models", "year": "2017", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/booth2017large.pdf"], "doi": ["http://doi.org/10.1007/s11263-017-1009-7", "https://www.wikidata.org/entity/Q57924212"]}, {"id": "a6ce2f0795839d9c2543d64a08e043695887e0eb", "title": "Driver Gaze Region Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://arxiv.org/pdf/1507.04760.pdf"], "doi": []}, {"id": "ff93f127081f54855d1612b39260489a2d9baa0b", "title": "Facial 3D model registration under occlusions with sensiblepoints-based reinforced hypothesis refinement", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.00531.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7829264", "http://doi.org/10.1109/TIP.2017.2657118", "https://www.ncbi.nlm.nih.gov/pubmed/28129155", "https://www.wikidata.org/entity/Q38381655"]}, {"id": "08b70ab782141a2d7003226a0f438a6aea0a0d46", "title": "Parametrizing Fully Convolutional Nets", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/08b7/0ab782141a2d7003226a0f438a6aea0a0d46.pdf"], "doi": []}, {"id": "24c442ac3f6802296d71b1a1914b5d44e48b4f29", "title": "Pose and Expression-Coherent Face Recovery in the Wild", "year": "2015", "pdf": ["http://vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w24/papers/Burgos-Artizzu_Pose_and_Expression-Coherent_ICCV_2015_paper.pdf", "http://www.vision.caltech.edu/~xpburgos/papers/ICCVW15%20Burgos-Artizzu.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406466", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.117", "http://doi.org/10.1109/ICCVW.2015.117"]}, {"id": "b599f323ee17f12bf251aba928b19a09bfbb13bb", "title": "Autonomous Quadcopter Videographer", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/b599/f323ee17f12bf251aba928b19a09bfbb13bb.pdf"], "doi": []}, {"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"], "doi": []}, {"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"], "doi": ["http://doi.org/10.1016/j.cviu.2014.04.006"]}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406481", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.132", "http://doi.org/10.1109/ICCVW.2015.132"]}, {"id": "3d6f59e0f0e16d01b9c588a53d3b6b3b984e991e", "title": "Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961847", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.117", "http://doi.org/10.1109/FG.2017.117"]}, {"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"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099650", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.167", "http://doi.org/10.1109/CVPR.2017.167"]}, {"id": "d06bcb2d46342ee011e652990edf290a0876b502", "title": "Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction", "year": "2017", "pdf": [], "doi": ["http://arxiv.org/abs/1708.00980"]}, {"id": "eef297f46b0f6deedde6b74fcd0b44a7a8df0d8b", "title": "Performance evaluation of face alignment algorithms on \" inthe-wild \" selfies", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/eef2/97f46b0f6deedde6b74fcd0b44a7a8df0d8b.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014889", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.155", "http://doi.org/10.1109/CVPRW.2017.155"]}, {"id": "5aad5e7390211267f3511ffa75c69febe3b84cc7", "title": "Driver Gaze Estimation Without Using Eye Movement", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5aad/5e7390211267f3511ffa75c69febe3b84cc7.pdf"], "doi": []}, {"id": "1672becb287ae3eaece3e216ba37677ed045db55", "title": "Fully automatic face normalization and single sample face recognition in unconstrained environments", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2015.10.047"]}, {"id": "f276d79e428183b457875dcccf2442c7832093bb", "title": "Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8558494", "http://doi.org/10.1109/ACCESS.2018.2884969"]}, {"id": "2804e7407cc5c236da84437e0440947a3faa1145", "title": "Mathematical modeling for partial object detection.", "year": "2014", "pdf": [], "doi": ["http://doi.org/10.18297/etd%2F1713"]}, {"id": "33b4dc370731535e39df8ce22fb43dd80d811dc4", "title": "Face identification in near IR-videos using smart eye tracking profiles", "year": "2015", "pdf": [], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099527", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.44", "http://doi.org/10.1109/CVPR.2017.44"]}, {"id": "cc96eab1e55e771e417b758119ce5d7ef1722b43", "title": "An Empirical Study of Recent Face Alignment Methods", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.05049.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "ded968b97bd59465d5ccda4f1e441f24bac7ede5", "title": "Large scale 3 D Morphable Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ded9/68b97bd59465d5ccda4f1e441f24bac7ede5.pdf"], "doi": []}, {"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"], "doi": []}, {"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"], "doi": []}, {"id": "ec1e03ec72186224b93b2611ff873656ed4d2f74", "title": "D Reconstruction of \u201c Inthe-Wild \u201d Faces in Images and Videos", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/ec1e/03ec72186224b93b2611ff873656ed4d2f74.pdf"], "doi": []}, {"id": "0db8e6eb861ed9a70305c1839eaef34f2c85bbaf", "title": "Towards Large-Pose Face Frontalization in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06244.pdf"], "doi": []}, {"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"], "doi": []}, {"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"], "doi": []}, {"id": "064b797aa1da2000640e437cacb97256444dee82", "title": "Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.04901.pdf"], "doi": []}, {"id": "03e88bf3c5ddd44ebf0e580d4bd63072566613ad", "title": "How intelligent are convolutional neural networks?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.06126.pdf"], "doi": []}, {"id": "31e57fa83ac60c03d884774d2b515813493977b9", "title": "Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.01597.pdf"], "doi": []}, {"id": "36bb93c4f381adca267191811abb8cc7812363f9", "title": "Quick retrieval method of massive face images based on global feature and local feature fusion", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301987", "http://doi.org/10.1109/CISP-BMEI.2017.8301987"]}, {"id": "c6ea6fee4823b511eecf41f6c2574a0728055baf", "title": "HoloFace: Augmenting Human-to-Human Interactions on HoloLens", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00278.pdf"], "doi": []}, {"id": "5da98f7590c08e83889f3cec7b0304b3610abf42", "title": "Face alignment using a deep neural network with local feature learning and recurrent regression", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.07.018"]}, {"id": "4c19690889fb3a12ec03e65bae6f5f20420b4ba4", "title": "Robust facial landmark detection using mixture of discriminative visibility-aware models", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2015.0699"]}, {"id": "7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa", "title": "Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/7f3d/a52c13c70fd5b93c2ccebdd4a4527fa597fa.pdf"], "doi": []}, {"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": "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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789676", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.186", "http://doi.org/10.1109/CVPRW.2016.186"]}, {"id": "726b8aba2095eef076922351e9d3a724bb71cb51", "title": "DFaceNet : Real-time Dense Face Reconstruction via Synthesizing Photo-realistic Face Images", "year": "2017", "pdf": [], "doi": []}, {"id": "a83fc450c124b7e640adc762e95e3bb6b423b310", "title": "Deep Face Feature for Face Alignment and Reconstruction", "year": "2017", "pdf": [], "doi": []}, {"id": "dcd2ac544a8336d73e4d3d80b158477c783e1e50", "title": "Improving Landmark Localization with Semi-Supervised Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1709.01591.pdf"], "doi": []}, {"id": "43fbe350681185ec9a18991dbcb19d694ce4f245", "title": "The Perspective Face Shape Ambiguity", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/43fb/e350681185ec9a18991dbcb19d694ce4f245.pdf"], "doi": []}, {"id": "4d23bb65c6772cb374fc05b1f10dedf9b43e63cf", "title": "Robust face alignment and partial face recognition", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/4d23/bb65c6772cb374fc05b1f10dedf9b43e63cf.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": "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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7360185", "http://doi.org/10.1109/TPAMI.2015.2509999", "https://www.ncbi.nlm.nih.gov/pubmed/26700972", "https://www.wikidata.org/entity/Q48636644"]}, {"id": "2fda461869f84a9298a0e93ef280f79b9fb76f94", "title": "OpenFace: An open source facial behavior analysis toolkit", "year": "2016", "pdf": ["http://multicomp.cs.cmu.edu/wp-content/uploads/2017/09/2016_WACV_Baltrusaitis_OpenFace.pdf", "http://www.cl.cam.ac.uk/research/rainbow/projects/openface/wacv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477553", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477553", "http://doi.org/10.1109/WACV.2016.7477553"]}, {"id": "3352426a67eabe3516812cb66a77aeb8b4df4d1b", "title": "Joint Multi-view Face Alignment in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06023.pdf"], "doi": []}, {"id": "7b6f0c4b22aee0cb4987cba9df121d4076fac5a5", "title": "On Learning 3D Face Morphable Model from In-the-wild Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.09560.pdf"], "doi": []}, {"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"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354113", "http://arxiv.org/abs/1610.04823", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00009", "http://doi.org/10.1109/WACV.2018.00009"]}, {"id": "564babec16b895d385d06d38545febd66ef02f35", "title": "Robust Statistics for Feature-based Active Appearance Models", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/564b/abec16b895d385d06d38545febd66ef02f35.pdf"], "doi": []}, {"id": "8a6033cbba8598945bfadd2dd04023c2a9f31681", "title": "3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Xiao_3D-Assisted_Coarse-To-Fine_Extreme-Pose_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014991", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.257", "http://doi.org/10.1109/CVPRW.2017.257"]}, {"id": "66e57fe8d2bf08b5783d333c1870591b23008850", "title": "Nonlinear 3D Face Morphable Model", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578865"]}, {"id": "6d8c9a1759e7204eacb4eeb06567ad0ef4229f93", "title": "Face Alignment Robust to Pose, Expressions and Occlusions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1707.05938.pdf"], "doi": []}, {"id": "120785f9b4952734818245cc305148676563a99b", "title": "Diagnostic automatique de l'\u00e9tat d\u00e9pressif(Classification of depressive moods)", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/1207/85f9b4952734818245cc305148676563a99b.pdf"], "doi": []}, {"id": "73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c", "title": "Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02193.pdf"], "doi": []}, {"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"], "doi": []}, {"id": "7789a5d87884f8bafec8a82085292e87d4e2866f", "title": "A Unified Tensor-based Active Appearance Face Model", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.09548.pdf"], "doi": []}, {"id": "4dfd96f456f18bf678158d158f33929c63b438b8", "title": "Scarce face recognition via two-layer collaborative representation", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2017.0193"]}, {"id": "78f2c8671d1a79c08c80ac857e89315197418472", "title": "Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Xiao_Recurrent_3D-2D_Dual_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237443", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.181", "http://doi.org/10.1109/ICCV.2017.181"]}, {"id": "289cfcd081c4393c7d6f63510747b5372202f855", "title": "Detecting Decision Ambiguity from Facial Images", "year": "2018", "pdf": ["http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373873", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00080", "http://doi.org/10.1109/FG.2018.00080"]}, {"id": "dcf6ecd51ba135d432fcb7697fc6c52e4e7b0a43", "title": "Factorized Variational Autoencoders for Modeling Audience Reactions to Movies", "year": "2017", "pdf": ["http://authors.library.caltech.edu/79271/1/Factorized-Variational-Autoencoders-for-Modeling-Audience-Reactions-to-Movies-Paper.pdf", "http://openaccess.thecvf.com/content_cvpr_2017/papers/Deng_Factorized_Variational_Autoencoders_CVPR_2017_paper.pdf", "https://www.cs.sfu.ca/~mori/research/papers/deng-cvpr17.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100120", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.637", "http://doi.org/10.1109/CVPR.2017.637"]}, {"id": "6742c0a26315d7354ab6b1fa62a5fffaea06da14", "title": "What does 2 D geometric information really tell us about 3 D face shape ?", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae08/778d8003933a02fd90a49b2e5f67ba56ad8d.pdf"], "doi": []}, {"id": "afd3a6dde8fa3b330cb146678731b150213ddd95", "title": "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.03146.pdf"], "doi": []}, {"id": "e6e22d8505b98257af88d5dd1863d6b805128913", "title": "A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578151"]}, {"id": "254964096e523d5e48e03390ce440c9af337d200", "title": "Semantically-aware blendshape rigs from facial performance measurements", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=3005378"]}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "1885acea0d24e7b953485f78ec57b2f04e946eaf", "title": "Combining Local and Global Features for 3D Face Tracking", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w36/Xiong_Combining_Local_and_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265508", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.297", "http://doi.org/10.1109/ICCVW.2017.297"]}, {"id": "c26b43c2e1e2da96e7caabd46e1d7314acac0992", "title": "Facial Expression Recognition Using Facial Landmarks and Random Forest Classifier", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8466510", "http://doi.ieeecomputersociety.org/10.1109/ICIS.2018.8466510", "http://doi.org/10.1109/ICIS.2018.8466510"]}, {"id": "014e3d0fa5248e6f4634dc237e2398160294edce", "title": "What does 2D geometric information really tell us about 3D face shape?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06703.pdf"], "doi": []}, {"id": "465faf9974a60da00950be977f3bc2fc3e56f5d2", "title": "Facial action unit intensity estimation and feature relevance visualization with random regression forests", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8273631", "http://doi.ieeecomputersociety.org/10.1109/ACII.2017.8273631", "http://doi.org/10.1109/ACII.2017.8273631"]}, {"id": "d9deafd9d9e60657a7f34df5f494edff546c4fb8", "title": "Learning the Multilinear Structure of Visual Data", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_the_Multilinear_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/1914_(1).pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8100124", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.641", "http://doi.org/10.1109/CVPR.2017.641"]}, {"id": "758d7e1be64cc668c59ef33ba8882c8597406e53", "title": "AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.03985.pdf"], "doi": []}]}
|
